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36 events found
Country: Australia
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Keeping Archives Online Learning Series
1 July 2016 - 31 December 2025
Keeping Archives Online Learning Series https://www.archivists.org.au/learning-publications/online-courses#KA https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping -
Meet and Greet the Research Data Alliance (RDA) at Curtin University
9 December 2024
Bentley, Australia
Meet and Greet the Research Data Alliance (RDA) at Curtin University https://www.eventbrite.com.au/e/meet-and-greet-the-research-data-alliance-rda-at-curtin-university-tickets-1081441734339 https://dresa.org.au/events/meet-and-greet-the-research-data-alliance-rda-at-curtin-university Discover a unique global community in research data and infrastructure with a visit from the RDA to Curtin University. 2024-12-09 10:00:00 UTC 2024-12-09 11:30:00 UTC Australian Research Data Commons Kent Street, Bentley, Australia Kent Street Bentley Australia 6102 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 45 meeting open_to_all Science & TechnologyScience -
WORKSHOP: Introduction to Machine Learning in R - from data to knowledge
9 December 2024
WORKSHOP: Introduction to Machine Learning in R - from data to knowledge https://www.biocommons.org.au/events/dome-mlr https://dresa.org.au/events/workshop-introduction-to-machine-learning-in-r-from-data-to-knowledge With the rise in high-throughput sequencing technologies, the volume of omics data has grown exponentially. A major issue is to mine useful knowledge from these heterogeneous collections of data. The analysis of complex high-volume data is not trivial and classical tools cannot be used to explore their full potential. Machine Learning (ML), a discipline in which computers perform automated learning without being programmed explicitly and assist humans to make sense of large and complex data sets, can thus be very useful in mining large omics datasets to uncover new insights that can advance the field of bioinformatics. This hands-on workshop will introduce participants to the ML taxonomy and the applications of common ML algorithms to health data. The workshop will cover the foundational concepts and common methods being used to analyse omics data sets by providing a practical context through the use of basic but widely used R libraries. Participants will acquire an understanding of the standard ML processes, as well as the practical skills in applying them on familiar problems and publicly available real-world data sets. **Lead Trainer:** Dr Fotis Psomopoulos, Senior Researcher, Institute of Applied Biosciences (INAB), Center for Research and Technology Hellas (CERTH) **Date/Time:** 9 December 2024, 1 - 5 pm AEDT / 12 - 4 pm AEST / 12:30 - 4:30 pm ACDT / 10 am - 2 pm AWST [Check in your timezone](https://www.timeanddate.com/worldclock/fixedtime.html?ah=4&iso=20241209T13&msg=Introduction%20to%20Machine%20Learning%20in%20R%20-%20from%20data%20to%20knowledge&p1=152) **Location**: Online **Format**: This online workshop will take place over a single 4 hour session. The workshop is delivered in Carpentries style where expert trainers introduce the topic and guide you through hands-on activities to help you put your new skills into action. **Who the workshop is for:** This workshop is for Australian researchers who are or will apply ML to the analysis of omics data as part of their projects. It is suitable for beginners in ML. You must be associated with an Australian organisation for your application to be considered. **How to apply:** This workshop is free but participation is subject to application with selection. Applications close at 11:59pm AEST, 24 November 2024. [Apply here](https://www.eventbrite.com.au/e/workshop-introduction-to-machine-learning-in-r-from-data-to-knowledge-tickets-1066494576989) Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). Successful applicants will be provided with a Zoom meeting link closer to the date. More information on the selection process is provided in our [advice on applying for Australian BioCommons workshops](https://www.biocommons.org.au/workshop-applications). 2024-12-09 13:00:00 UTC 2024-12-09 17:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] expression_of_interest BioinformaticsMachine Learning and Artificial Intelligence CourseR Programming -
Learn to Program: Python at UOA Online
10 - 11 December 2024
Learn to Program: Python at UOA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-uoa-online-72b637a9-85d4-4fa3-92d5-9d3ed9450ff1 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2024-12-10 09:30:00 UTC 2024-12-11 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Navigating Linked Data Access in a Changing State and National Landscape
10 December 2024
Clayton, Australia
Navigating Linked Data Access in a Changing State and National Landscape https://www.eventbrite.com.au/e/navigating-linked-data-access-in-a-changing-state-and-national-landscape-tickets-1047429368437 https://dresa.org.au/events/navigating-linked-data-access-in-a-changing-state-and-national-landscape To provide researchers with a clear understanding of how to access the data needed for research that informs government policy and programs. 2024-12-10 10:00:00 UTC 2024-12-10 12:30:00 UTC Australian Research Data Commons 20 Exhibition Walk, Clayton, Australia 20 Exhibition Walk Clayton Australia 3800 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 [] open_to_all Science & TechnologyScience -
Data Capture and Surveys with REDCap at LTU Online
10 December 2024
Data Capture and Surveys with REDCap at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-105ba8eb-8fb2-4492-9ea8-adc5f5f74767 Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: Get started with REDCap Create and set up projects Design forms and surveys using the online designer Learn how to use branching logic, piping, and calculations Enter data via forms and distribute surveys Create, view and export data reports Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/redcap101). 2024-12-10 10:00:00 UTC 2024-12-10 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Meet and Greet the Research Data Alliance (RDA) at UWA
11 December 2024
Crawley, Australia
Meet and Greet the Research Data Alliance (RDA) at UWA https://www.eventbrite.com.au/e/meet-and-greet-the-research-data-alliance-rda-at-uwa-tickets-1081424733489 https://dresa.org.au/events/meet-and-greet-the-research-data-alliance-rda-at-uwa Discover a unique global community in research data and infrastructure with a visit from the RDA to the University of Western Australia. 2024-12-11 10:00:00 UTC 2024-12-11 11:30:00 UTC Australian Research Data Commons 35 Stirling Highway, Crawley, Australia 35 Stirling Highway Crawley Australia 6009 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 45 meeting open_to_all Science & TechnologyScience -
Meet and Greet the Research Data Alliance (RDA) at UWA
11 December 2024
Crawley, Australia
Meet and Greet the Research Data Alliance (RDA) at UWA https://www.eventbrite.com.au/e/meet-and-greet-the-research-data-alliance-rda-at-uwa-tickets-1081424733489 https://dresa.org.au/events/meet-and-greet-the-research-data-alliance-rda-at-uwa-f026c12e-9705-469a-9f86-b416d183deb7 Discover a unique global community in research data and infrastructure with a visit from the RDA to the University of Western Australia. 2024-12-11 11:00:00 UTC 2024-12-11 12:30:00 UTC Australian Research Data Commons 35 Stirling Highway, Crawley, Australia 35 Stirling Highway Crawley Australia 6009 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 45 meeting open_to_all Science & TechnologyScience -
Applied Longitudinal Data Analysis: Online
20 - 24 January 2025
Applied Longitudinal Data Analysis: Online https://www.acspri.org.au/summer-program-2025/applied-longitudinal-data-analysis-online https://dresa.org.au/events/applied-longitudinal-data-analysis-online-96122d42-a60d-4376-bd7d-11a16df8dcdf Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. The workshop will focus on linear mixed effects models, however we will also go through generalized linear mixed effects models and any new material a participant will need to understand in order to successfully use generalized LME’s. There will be exercises using both types of models. The computer exercises for this workshop will be conducted in Stata. Stata has been chosen as it provides both basic and advanced functionality for conducting longitudinal data analyses. A full set of exercises and solutions in Stata will be provided in this workshop, where they include the Stata syntax required to perform each individual exercise. In addition the workshop presenter will demonstrate how to use Stata for the first exercise in each session prior to workshop participants individually working though the exercises for that session. While this workshop is primarily designed for participants using Stata, an alternative set of exercises can be provided for participants who would like to use R instead. 2025-01-20 09:00:00 UTC 2025-01-24 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all longitudinal dataStatistical Methodsmixed effectsquantitative -
Fundamentals of Program Evaluation in Public Policy: Online
20 - 22 January 2025
Fundamentals of Program Evaluation in Public Policy: Online https://www.acspri.org.au/summer-program-2025/fundamentals-program-evaluation-public-policy-online-3-days https://dresa.org.au/events/fundamentals-of-program-evaluation-in-public-policy-online-2a37eb8e-208e-4877-8316-b80b2bad2d09 The course is structured to progress participants through the key stages of an evaluation. Participants are exposed to key theories and approaches to evaluation, and then encouraged to consider the application of these approaches to their own work context. Participants will be guided through negotiation and planing an evaluation, through to final reporting and dissemination of findings. Examples from published studies and the facilitator's applied practice in evaluation will be drawn apon to illustrate and reinforce key concepts. 2025-01-20 10:00:00 UTC 2025-01-22 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all evaluationpublic policypublic programspolicy evaluation -
Multi-level Analysis using Mplus: Online
20 - 24 January 2025
Multi-level Analysis using Mplus: Online https://www.acspri.org.au/summer-program-2025/multi-level-analysis-using-mplus-online https://dresa.org.au/events/multi-level-analysis-using-mplus-online-a161d07c-5e81-4efd-b300-32b2cf1a0ae9 This course is designed as an introduction to the concepts and techniques required to analyse data that is multi-level in nature. (That is, data that is derived from subjects who are nested within groups or data that involves repeated measures that are nested within subjects) In conventional regression analysis it is assumed that subjects are randomly selected and, therefore, all the variance in your dependent variables is due solely to variation amongst individuals. However, in most studies, subjects are clustered within a group and multiple groups are sampled. For example, in an education study, we may have students clustered within multiple classes; in a human resourcing study, we may have employees clustered within multiple work units or teams. In such sampling, although some of the variance in your dependent variables will be due to variation amongst individuals, some the variance in your dependent variables will also be due to variation amongst the groups themselves. In such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. Repeated measure designs should also be analysed using multilevel analysis because the repeated observations are nested within subjects. For example, in a marketing study, we may have repeated measures of consumers’ attitudes to a brand over the life of a marketing campaign; in an epidemiology study, we may have repeated measures of a health outcome over the life of a drug treatment regime. In such studies, although some of the variance in your dependent variables will be due to variation across the various time occasions, some the variance in your dependent variables will also be due to variation amongst individuals themselves. Again, in such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. 2025-01-20 10:00:00 UTC 2025-01-24 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all multilevel modellingSEMStatistical MethodsStatistics -
Data Analysis Using Stata: Online
20 - 24 January 2025
Data Analysis Using Stata: Online https://www.acspri.org.au/summer-program-2025/data-analysis-using-stata-online https://dresa.org.au/events/data-analysis-using-stata-online-8f70c6bb-483c-445b-a08f-56082b7de9b2 Stata is a comprehensive integrated package for data management, analysis and graphics. Stata has a comprehensive GUI interface. Sample datasets will be provided, but you are encouraged to bring some of your own data for analysis in Excel or ASCII format. Teaching and practice will be closed integrated. Private consultations will be allocated during the course as needed. The course is suitable for beginners to the Stata package and will be presented in a way that introduces survey research. It is also appropriate to those familiar with Stata as it extends the capabilities of more experienced researchers. 2025-01-20 10:00:00 UTC 2025-01-24 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all STATAapplied statisticsStatistical MethodsStatistics -
Data Analysis in R: Online
20 January - 4 February 2025
Data Analysis in R: Online https://www.acspri.org.au/summer-program-2025/data-analysis-r-online https://dresa.org.au/events/data-analysis-in-r This course is intended for applied data analysts, including academics and postgraduate students, policy specialists and others. It will examine questions dealt with in public policy, the social sciences and industry, using real data. This includes surveys, and economics and public health data. The unit will help build participants’ ability to work with data in R and undertake rigorous statistical analysis, including spatial analysis and linear regression, and create publication-standard graphs of the results. The end result will be more professional and easy to understand research. Exercises will be provided, including additional problems and datasets for extra practice outside of scheduled sessions, and one-on-one consultations can be scheduled by appointment the following week. 2025-01-20 10:00:00 UTC 2025-02-04 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Introduction to RR statistical softwareR statisticsStatisticsStatistical Methods -
Introduction to Computer-assisted Qualitative Data Analysis using NVivo
3 - 7 February 2025
Parkville, Australia
Introduction to Computer-assisted Qualitative Data Analysis using NVivo https://www.acspri.org.au/summer-program-2025/introduction-computer-assisted-qualitative-data-analysis-using-nvivo https://dresa.org.au/events/introduction-to-computer-assisted-qualitative-data-analysis-using-nvivo-dd0743d2-612d-4326-bb92-1d2b834e23d3 In this 5 day course, participants will learn how to analyse qualitative data using NVivo. The course takes a holistic view of the analysis of qualitative data using computer assisted techniques. We will examine not only the mechanics of driving the NVivo software package, but also how to plan for the collection of data; preparation of data for analysis; as well as the analysis of the data. You will also be introduced to advanced analysis tools, including those for theory building, validation and presentation of findings. Participants will explore applications of the software to your own research projects. Sample data will be provided but you should bring your own data sets, if you have them, and/or copies of articles and research reports relevant to your field of study. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au [] [] 20 workshop open_to_all NVivoQualitative Researchqualitative dataData analysis -
Introduction to Qualitative Research
3 - 7 February 2025
Parkville, Australia
Introduction to Qualitative Research https://www.acspri.org.au/summer-program-2025/introduction-qualitative-research https://dresa.org.au/events/introduction-to-qualitative-research In this course you will learn about all elements of the qualitative research process and how they are interrelated. We will unpack the key components of qualitative research design, including the stances and theories that underpin qualitative methodologies, as well as techniques of data collection and analysis. We pay particular attention to what’s involved in ethically employing popular methods such as interviewing and observation. We also address the practical and ethical considerations of online methods, given the growing uptake of remote research during the coronavirus pandemic. The course combines lectures covering foundational issues with practical workshops that give you a chance to practice qualitative techniques first-hand. The target audience for this course is those who would like to become more familiar with qualitative research techniques, from postgraduate university students and staff to researchers in government and private organisations. 2025-02-03 09:00:00 UTC 2025-02-07 13:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au [] [] 20 workshop open_to_all Qualitative ResearchQualitative methodsIntroductoryqualitative data -
Applied Longitudinal Data Analysis
3 - 7 February 2025
Parkville, Australia
Applied Longitudinal Data Analysis https://www.acspri.org.au/summer-program-2025/applied-longitudinal-data-analysis https://dresa.org.au/events/applied-longitudinal-data-analysis-01850555-2b7e-44fe-bec7-ce8ce8a79285 Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. The workshop will focus on linear mixed effects models, however we will also go through generalized linear mixed effects models and any new material a participant will need to understand in order to successfully use generalized LME’s. There will be exercises using both types of models. The computer exercises for this workshop will be conducted in Stata. Stata has been chosen as it provides both basic and advanced functionality for conducting longitudinal data analyses. A full set of exercises and solutions in Stata will be provided in this workshop, where they include the Stata syntax required to perform each individual exercise. In addition the workshop presenter will demonstrate how to use Stata for the first exercise in each session prior to workshop participants individually working though the exercises for that session. While this workshop is primarily designed for participants using Stata, an alternative set of exercises can be provided for participants who would like to use R instead. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all longitudinal dataStatistical Methodsmixed effectsquantitative -
Qualitative Research: Design, Analysis and Representation
3 - 7 February 2025
Parkville, Australia
Qualitative Research: Design, Analysis and Representation https://www.acspri.org.au/summer-program-2025/qualitative-research-design-analysis-and-representation https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-9e3c11c2-470a-4eac-aff9-625df80944e9 The focus of this course is on issues of design and positioning, analysis and representation of qualitative research. This course only provides a generic overview of data collection methods, as it is assumed that participants will have experience with methods. Many of the examples will make reference to research in business, psychology and health. The target audience for this course are researchers, practitioners and academics who have conducted at least one qualitative study, and are familiar with the process and context of qualitative research. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 [] open_to_all Qualitative ResearchQualitative methodsqualitative data -
Introduction to Structural Equation Modelling
3 - 7 February 2025
Parkville, Australia
Introduction to Structural Equation Modelling https://www.acspri.org.au/summer-program-2025/introduction-structural-equation-modelling https://dresa.org.au/events/introduction-to-structural-equation-modelling Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed variables that measure latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed as an introductory SEM course aimed at introducing participants to the basic concept of SEM and to a range of structural equation models using AMOS and/or Mplus software to estimate the model parameters. Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. The target audience for this course is post graduate students, academic staff and other researchers needing to learn the basic concept of SEM and how to run structural equation models using either the AMOS and/or Mplus software. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all Structural equation modellingStatistical Methodsapplied statisticsquantitative -
Applied Statistical Procedures
3 - 7 February 2025
Parkville, Australia
Applied Statistical Procedures https://www.acspri.org.au/summer-program-2025/applied-statistical-procedures https://dresa.org.au/events/applied-statistical-procedures-708475ab-6452-4440-9605-4df561aa8833 This course will help you choose from a range of statistical procedures to analyse your data. What makes this course unique is that it is suitable for those with no prior knowledge of statistical software. You will learn how to: Familiarize yourself with basic statistical concepts: Before diving into more complex statistical procedures, it's important to have a solid understanding of basic statistical concepts such as mean, median, mode, standard deviation, correlation, and regression. We will make sure you are comfortable with these concepts before moving on to more advanced techniques. Practice with real-world examples: We use real-world examples of statistical procedures in action. This will help you understand how these procedures are used in practice and how to interpret their results. Use software to run statistical procedures: The course may be taken with Jamovi, a free statistical package, or SPSS. Collaborate with others: Collaborating with others who are also learning statistical procedures can be a great way to learn and reinforce your understanding of the material. You can work together to solve problems and discuss different approaches to analysing data. Remember that learning statistical procedures takes time and practice, so don't get discouraged if you don't understand everything right away. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSS -
Fundamentals of Choice Modelling
3 - 4 February 2025
Parkville, Australia
Fundamentals of Choice Modelling https://www.acspri.org.au/master-class-feb-2025-fundamentals-choice-modelling https://dresa.org.au/events/fundamentals-of-choice-modelling Choice modelling is a specialised area of micro-econometrics that develops and applies mathematical models that represent human decision making. Choice models are used extensively to understand current behaviour and predict future choices in the applied fields of the economic sciences, especially environmental, health, and transport economics. Other application areas include business and marketing. In addition to addressing questions of academic interest, choice modelling informs policy and strategy making in these applied economic disciplines. This 2-day masterclass introduces students to choice models, discusses and contrasts the family of available model structures, and also talks about the data requirements, model estimation, and the use of models to produce outputs for policy. The course consists of a mix of theoretical lectures and case studies. 2025-02-03 09:00:00 UTC 2025-02-04 17:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all Choice modellingeconometricsmarketing -
ARDC Indigenous Data Governance Masterclass at Summer School 2025
3 February 2025
South Brisbane, Australia
ARDC Indigenous Data Governance Masterclass at Summer School 2025 https://www.eventbrite.com.au/e/ardc-indigenous-data-governance-masterclass-at-summer-school-2025-tickets-1027820327267 https://dresa.org.au/events/ardc-indigenous-data-governance-masterclass-at-summer-school-2025 Custodians of Indigenous data and researchers in any discipline are invited to learn about applying Indigenous data governance principles 2025-02-03 10:00:00 UTC 2025-02-03 17:00:00 UTC Australian Research Data Commons Stanley Place, South Brisbane, Australia Stanley Place South Brisbane Australia 4101 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 200 workshop open_to_all Science & TechnologyOther -
HASS and Indigenous Research Data Commons Summer School 2025
4 - 6 February 2025
Saint Lucia, Australia
HASS and Indigenous Research Data Commons Summer School 2025 https://www.eventbrite.com.au/e/hass-and-indigenous-research-data-commons-summer-school-2025-tickets-1027654802177 https://dresa.org.au/events/hass-and-indigenous-research-data-commons-summer-school-2025 The HASS and Indigenous research data community is invited to learn hands-on digital skills, network, and to inspire new research outcomes 2025-02-04 09:30:00 UTC 2025-02-06 14:30:00 UTC Australian Research Data Commons University of Queensland, Saint Lucia, Australia University of Queensland Saint Lucia Australia 4067 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 150 workshop open_to_all Science & TechnologyOther -
Applied Choice Modelling using Apollo
5 - 6 February 2025
Parkville, Australia
Applied Choice Modelling using Apollo https://www.acspri.org.au/master-class-feb-2025-applied-choice-modelling-using-apollo https://dresa.org.au/events/applied-choice-modelling-using-apollo Choice modelling is one the core methods of the applied economic sciences, including environmental, health, and transport economics. This 2-day masterclass provides participants with an introduction to applied choice modelling using the Apollo software. Apollo is open-source software for estimating choice models available in the R computing environment. The master-class will focus on hands-on exercises using the open-source Apollo software for the estimation of choice models. This is a lab-based masterclass introducing students to the use of the Apollo software. The masterclass will be applied and place its emphasis on the implementation of the methods and models used by choice modellers and on the analysis and interpretation of choice modelling results; links to choice modelling theory will be made, but this is not the emphasis of the course. The masterclass will introduce participants to the software and to the family of choice models estimable within Apollo. The focus will be “hands-on” exercises and estimating choice models using Apollo with data provided by the instructor. The masterclass will place particular emphasis on model estimation and interpretation. The exercises will span a range of application areas including environmental, health, and transport economics. 2025-02-05 09:00:00 UTC 2025-02-06 17:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all Choice modellingeconometricsmarketing -
Introduction to Social Network Research and Analysis: Online
10 - 14 February 2025
Introduction to Social Network Research and Analysis: Online https://www.acspri.org.au/summer-program-2025/introduction-social-network-research-and-analysis-online https://dresa.org.au/events/introduction-to-social-network-research-and-analysis-online-89a8f985-314b-43b0-a204-c1a5d1cb69a9 This course is designed for social researchers using qualitative and mixed methods. The course builds from the basic, pioneering methodologies of Social Network Analysis (SNA): survey-based egonet SNA and sociometric, "whole network' SNA, and their extensions, to network sensitive ethnographies, community networks, web-based network surveys and research on social media activities. The course reviews the possibilities for working with rich network data from interview or online sources and the unique perspectives that qualitative and social research traditions bring to these tasks. The course explores ways to best manage and explore different kinds of network data in Excel, uses UCINET and NetDraw to produce network diagrams and descriptive statistics. We review other appropriate software related to participants' needs. The course serves as a transition to the associated ACSPRI courses Network Analysis in Social, Business and Political Research and Big Data Analysis for Social Scientists. Network research designs covered in this course are: * Surveys using ego-centric network (egonet) methods * Network-sensitive ethnographies * Sociometric (‘round robin’) ‘whole network’ studies and small group research * Associational/ Affiliation (‘2-mode’) networks (including ethological studies) * Cognitive mapping and socio-cognitive mapping (SCM) For each methodology we consider the best ways to code and manage raw data, the most efficient formats for importing such data into visualisation and analysis software and appropriate measures and statistics for reporting findings. We also discuss the process of relating validated findings to broader research questions (‘meta-inference’), extrapolating them to other settings and associated questions of research design. 2025-02-10 09:30:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au Ph: +61 3 8376 6496 [] [] 12 workshop open_to_all social network researchSocial network analysisMixed MethodsQualitative ResearchQualitative methodssocial media data -
Foundations of Qualitative Methodologies, Data Collection and Analysis: Online
10 - 12 February 2025
Foundations of Qualitative Methodologies, Data Collection and Analysis: Online https://www.acspri.org.au/summer-program-2025/foundations-qualitative-methodologies-data-collection-and-analysis-online-3-day https://dresa.org.au/events/foundations-of-qualitative-methodologies-data-collection-and-analysis-online-f6d91eeb-18da-4656-bf0a-8207696d03c1 This is an introductory course which deals with the major decisions qualitative researchers needs to make initially: -research design and ethics -qualitative paradigms and methodology/ies The emphasis on the 2nd and 3rd days is on practical experience. The gaining of practice-based skills with regard to conducting both face-to-face and focus group interviews in person and online, and in gaining experience in analysing and displaying qualitative data. The target audience for this course is those who would like to become more familiar with qualitative research decisions and techniques, from postgraduate university students and staff, to researchers in government and private organisations. 2025-02-10 09:30:00 UTC 2025-02-12 15:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductory -
Fundamentals of Multiple Regression: Online
10 - 14 February 2025
Fundamentals of Multiple Regression: Online https://www.acspri.org.au/summer-program-2025/fundamentals-multiple-regression-online https://dresa.org.au/events/fundamentals-of-multiple-regression-online-9d4b2fa0-da15-4d3e-ad88-6fa7df7a5074 The course is designed for those who have limited knowledge and experience with multivariate statistical techniques and are seeking the knowledge and skills to use multiple regression for research at a post-graduate level and/or to publish in professional research journals. Particular attention is given to the application of multiple regression to substantive problems in the social and behavioral sciences. By the end of the course, you will understand the principles of multiple regression, and be able to conduct regression analyses, interpret the results, obtain regression diagnostics to test the underlying model assumptions and write-up the results for publication. The course notes provide instructions for using the major statistical packages (SPSS, SAS, Stata or R) for regression. Participants who are considering regression analysis of their own data are encouraged and there will be time for individual consultations. This course provides the foundations necessary for progression to ‘Applied Multiple Regression Analysis’, and to subsequent advanced-level courses in structural equation modelling and multi-level analysis. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Multiple RegressionquantitativeStatisticsStatistical Methodsapplied statisticsRegression analysis -
Advanced Structural Equation Modelling: Online
10 - 14 February 2025
Advanced Structural Equation Modelling: Online https://www.acspri.org.au/summer-program-2025/advanced-structural-equation-modelling-online https://dresa.org.au/events/advanced-structural-equation-modelling-online Introductory courses typically cover path analysis amongst observed variables, confirmatory factor analysis, and full SEM models with latent variables. This course covers a number of more complex models including models with mediating variables, models with interactions (moderation), ANOVA and ANCOVA models for latent outcomes, multi-level models (including repeated measures models) and mixture models. Furthermore, introductory courses usually deal only with continuous, normally distributed variables. This course addresses the treatment of non-normal data and covers the analysis of observed categorical variables including ordered categorical (ordinal) variables such as Likert scales and unordered categorical (nominal) variables that may be binary (Male/Female, Problem Gambler/Non Gambler, Smoker/Non-Smoker, etc.) or polynomial (Australian/Indonesian/South African, etc.) Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. The target audience for this course is existing AMOS and/or Mplus users. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Structural equation modellingAdvancedSEMMplusAMOS -
Qualitative Research: Design, Analysis and Representation: Online
10 - 14 February 2025
Qualitative Research: Design, Analysis and Representation: Online https://www.acspri.org.au/summer-program-2025/qualitative-research-design-analysis-and-representation-online https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-online-212ea68f-b59b-4692-8256-8ad14cd55442 The focus of this course is on issues of design and positioning, analysis and representation of qualitative research. This course only provides a generic overview of data collection methods, as it is assumed that participants will have experience with methods. Many of the examples will make reference to research in business, psychology and health. The target audience for this course are researchers, practitioners and academics who have conducted at least one qualitative study, and are familiar with the process and context of qualitative research. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsqualitative data -
Applied Statistical Procedures: Online
10 - 14 February 2025
Applied Statistical Procedures: Online https://www.acspri.org.au/summer-program-2025/applied-statistical-procedures-online https://dresa.org.au/events/applied-statistical-procedures-online-f83424fd-9b9e-46bb-9a24-7bbf928c7172 This course will help you choose from a range of statistical procedures to analyse your data. What makes this course unique is that it is suitable for those with no prior knowledge of statistical software. You will learn how to: Familiarize yourself with basic statistical concepts: Before diving into more complex statistical procedures, it's important to have a solid understanding of basic statistical concepts such as mean, median, mode, standard deviation, correlation, and regression. We will make sure you are comfortable with these concepts before moving on to more advanced techniques. Practice with real-world examples: We use real-world examples of statistical procedures in action. This will help you understand how these procedures are used in practice and how to interpret their results. Use software to run statistical procedures: The course may be taken with Jamovi, a free statistical package, or SPSS. Collaborate with others: Collaborating with others who are also learning statistical procedures can be a great way to learn and reinforce your understanding of the material. You can work together to solve problems and discuss different approaches to analysing data. Remember that learning statistical procedures takes time and practice, so don't get discouraged if you don't understand everything right away. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSSJamovi -
Social Media Network and Text Analysis: Online
10 - 13 February 2025
Social Media Network and Text Analysis: Online https://www.acspri.org.au/summer-program-2025/social-media-network-and-text-analysis-online-4-day https://dresa.org.au/events/social-media-network-and-text-analysis-online-f6093406-3c70-4ce9-b6bc-95bcc4a4898d This course introduces participants to approaches for collecting and analysing network and text data from social media, (Reddit, YouTube and Mastodon) and the WWW (hyperlink networks). In terms of analysis, the focus is on the application of social network analysis (SNA) and quantitative text analysis to online data. While the main software used in the course is R, we also introduce Gephi for advanced visualisation. Data collection is via the VOSON R Packages (VOSON Dashboard, vosonSML). We also cover other important R packages for network and text analysis such as: igraph (network analysis and visualisation), quanteda (quantitative analysis of textual data), tidytext (text mining), and wordcloud (text word clouds). The course will be particularly useful to academics and PhD students who want to become more computationally literate, and those from technical disciplines (e.g. computer science, engineering, information science) who want to become more familiar with social science approaches to analysing social media data. The course will also be useful for people from industry and government whose work involves quantitative analysis of social media data, e.g. for marketing, social research, public relations, brand management, journalism, opinion analysis. 2025-02-10 16:30:00 UTC 2025-02-13 21:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all social network researchSocial network analysissocial media dataR statistical softwarequantitativeRedditYouTubeMastodon
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Keeping Archives Online Learning Series
1 July 2016 - 31 December 2025
Keeping Archives Online Learning Series https://www.archivists.org.au/learning-publications/online-courses#KA https://dresa.org.au/events/keeping-archives-online-learning-series Our pioneering online learning program, based on our respected publication Keeping Archives, was launched in 2016. It provides a new level of learning in the archives and records profession, filling a gap between a tertiary course and on-the-job experience. These courses are ideal for: - People who are new to archives and need a grounding in archival principles; - Students who wish to enhance the archival component of their training; - Professional archivists who may require a refresher in new archival methods and theory – e.g. emergent web technologies and social media platforms; - Statutory organisations whose staff need records and archives knowledge as part of their responsibilities. - Organisations with volunteers who engage in archival work and need basic knowledge. 2016-07-01 09:00:00 UTC 2025-12-31 17:00:00 UTC Australian Society of Archivists Australia Australia Australian Society of Archivists office@archivists.org.au [] [] [] open_to_all ArchivesRecordsArvchivingRecordkeeping -
Meet and Greet the Research Data Alliance (RDA) at Curtin University
9 December 2024
Bentley, Australia
Meet and Greet the Research Data Alliance (RDA) at Curtin University https://www.eventbrite.com.au/e/meet-and-greet-the-research-data-alliance-rda-at-curtin-university-tickets-1081441734339 https://dresa.org.au/events/meet-and-greet-the-research-data-alliance-rda-at-curtin-university Discover a unique global community in research data and infrastructure with a visit from the RDA to Curtin University. 2024-12-09 10:00:00 UTC 2024-12-09 11:30:00 UTC Australian Research Data Commons Kent Street, Bentley, Australia Kent Street Bentley Australia 6102 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 45 meeting open_to_all Science & TechnologyScience -
WORKSHOP: Introduction to Machine Learning in R - from data to knowledge
9 December 2024
WORKSHOP: Introduction to Machine Learning in R - from data to knowledge https://www.biocommons.org.au/events/dome-mlr https://dresa.org.au/events/workshop-introduction-to-machine-learning-in-r-from-data-to-knowledge With the rise in high-throughput sequencing technologies, the volume of omics data has grown exponentially. A major issue is to mine useful knowledge from these heterogeneous collections of data. The analysis of complex high-volume data is not trivial and classical tools cannot be used to explore their full potential. Machine Learning (ML), a discipline in which computers perform automated learning without being programmed explicitly and assist humans to make sense of large and complex data sets, can thus be very useful in mining large omics datasets to uncover new insights that can advance the field of bioinformatics. This hands-on workshop will introduce participants to the ML taxonomy and the applications of common ML algorithms to health data. The workshop will cover the foundational concepts and common methods being used to analyse omics data sets by providing a practical context through the use of basic but widely used R libraries. Participants will acquire an understanding of the standard ML processes, as well as the practical skills in applying them on familiar problems and publicly available real-world data sets. **Lead Trainer:** Dr Fotis Psomopoulos, Senior Researcher, Institute of Applied Biosciences (INAB), Center for Research and Technology Hellas (CERTH) **Date/Time:** 9 December 2024, 1 - 5 pm AEDT / 12 - 4 pm AEST / 12:30 - 4:30 pm ACDT / 10 am - 2 pm AWST [Check in your timezone](https://www.timeanddate.com/worldclock/fixedtime.html?ah=4&iso=20241209T13&msg=Introduction%20to%20Machine%20Learning%20in%20R%20-%20from%20data%20to%20knowledge&p1=152) **Location**: Online **Format**: This online workshop will take place over a single 4 hour session. The workshop is delivered in Carpentries style where expert trainers introduce the topic and guide you through hands-on activities to help you put your new skills into action. **Who the workshop is for:** This workshop is for Australian researchers who are or will apply ML to the analysis of omics data as part of their projects. It is suitable for beginners in ML. You must be associated with an Australian organisation for your application to be considered. **How to apply:** This workshop is free but participation is subject to application with selection. Applications close at 11:59pm AEST, 24 November 2024. [Apply here](https://www.eventbrite.com.au/e/workshop-introduction-to-machine-learning-in-r-from-data-to-knowledge-tickets-1066494576989) Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). Successful applicants will be provided with a Zoom meeting link closer to the date. More information on the selection process is provided in our [advice on applying for Australian BioCommons workshops](https://www.biocommons.org.au/workshop-applications). 2024-12-09 13:00:00 UTC 2024-12-09 17:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons training@biocommons.org.au [] [] [] expression_of_interest BioinformaticsMachine Learning and Artificial Intelligence CourseR Programming -
Learn to Program: Python at UOA Online
10 - 11 December 2024
Learn to Program: Python at UOA Online https://intersect.org.au/training/schedule https://dresa.org.au/events/learn-to-program-python-at-uoa-online-72b637a9-85d4-4fa3-92d5-9d3ed9450ff1 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you’d expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: Introduction to the JupyterLab interface for programming Basic syntax and data types in Python How to load external data into Python Creating functions (FUNCTIONS) Repeating actions and analysing multiple data sets (LOOPS) Making choices (IF STATEMENTS – CONDITIONALS) Ways to visualise data in Python #### Prerequisites: No prior experience with programming is needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). For more information, please click [here](https://intersect.org.au/training/course/python101). 2024-12-10 09:30:00 UTC 2024-12-11 12:30:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Navigating Linked Data Access in a Changing State and National Landscape
10 December 2024
Clayton, Australia
Navigating Linked Data Access in a Changing State and National Landscape https://www.eventbrite.com.au/e/navigating-linked-data-access-in-a-changing-state-and-national-landscape-tickets-1047429368437 https://dresa.org.au/events/navigating-linked-data-access-in-a-changing-state-and-national-landscape To provide researchers with a clear understanding of how to access the data needed for research that informs government policy and programs. 2024-12-10 10:00:00 UTC 2024-12-10 12:30:00 UTC Australian Research Data Commons 20 Exhibition Walk, Clayton, Australia 20 Exhibition Walk Clayton Australia 3800 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 250 [] open_to_all Science & TechnologyScience -
Data Capture and Surveys with REDCap at LTU Online
10 December 2024
Data Capture and Surveys with REDCap at LTU Online https://intersect.org.au/training/schedule https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-105ba8eb-8fb2-4492-9ea8-adc5f5f74767 Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: Get started with REDCap Create and set up projects Design forms and surveys using the online designer Learn how to use branching logic, piping, and calculations Enter data via forms and distribute surveys Create, view and export data reports Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. For more information, please click [here](https://intersect.org.au/training/course/redcap101). 2024-12-10 10:00:00 UTC 2024-12-10 13:00:00 UTC Intersect Australia Australia Australia Intersect Australia training@intersect.org.au [] [] [] host_institution [] -
Meet and Greet the Research Data Alliance (RDA) at UWA
11 December 2024
Crawley, Australia
Meet and Greet the Research Data Alliance (RDA) at UWA https://www.eventbrite.com.au/e/meet-and-greet-the-research-data-alliance-rda-at-uwa-tickets-1081424733489 https://dresa.org.au/events/meet-and-greet-the-research-data-alliance-rda-at-uwa Discover a unique global community in research data and infrastructure with a visit from the RDA to the University of Western Australia. 2024-12-11 10:00:00 UTC 2024-12-11 11:30:00 UTC Australian Research Data Commons 35 Stirling Highway, Crawley, Australia 35 Stirling Highway Crawley Australia 6009 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 45 meeting open_to_all Science & TechnologyScience -
Meet and Greet the Research Data Alliance (RDA) at UWA
11 December 2024
Crawley, Australia
Meet and Greet the Research Data Alliance (RDA) at UWA https://www.eventbrite.com.au/e/meet-and-greet-the-research-data-alliance-rda-at-uwa-tickets-1081424733489 https://dresa.org.au/events/meet-and-greet-the-research-data-alliance-rda-at-uwa-f026c12e-9705-469a-9f86-b416d183deb7 Discover a unique global community in research data and infrastructure with a visit from the RDA to the University of Western Australia. 2024-12-11 11:00:00 UTC 2024-12-11 12:30:00 UTC Australian Research Data Commons 35 Stirling Highway, Crawley, Australia 35 Stirling Highway Crawley Australia 6009 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 45 meeting open_to_all Science & TechnologyScience -
Applied Longitudinal Data Analysis: Online
20 - 24 January 2025
Applied Longitudinal Data Analysis: Online https://www.acspri.org.au/summer-program-2025/applied-longitudinal-data-analysis-online https://dresa.org.au/events/applied-longitudinal-data-analysis-online-96122d42-a60d-4376-bd7d-11a16df8dcdf Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. The workshop will focus on linear mixed effects models, however we will also go through generalized linear mixed effects models and any new material a participant will need to understand in order to successfully use generalized LME’s. There will be exercises using both types of models. The computer exercises for this workshop will be conducted in Stata. Stata has been chosen as it provides both basic and advanced functionality for conducting longitudinal data analyses. A full set of exercises and solutions in Stata will be provided in this workshop, where they include the Stata syntax required to perform each individual exercise. In addition the workshop presenter will demonstrate how to use Stata for the first exercise in each session prior to workshop participants individually working though the exercises for that session. While this workshop is primarily designed for participants using Stata, an alternative set of exercises can be provided for participants who would like to use R instead. 2025-01-20 09:00:00 UTC 2025-01-24 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all longitudinal dataStatistical Methodsmixed effectsquantitative -
Fundamentals of Program Evaluation in Public Policy: Online
20 - 22 January 2025
Fundamentals of Program Evaluation in Public Policy: Online https://www.acspri.org.au/summer-program-2025/fundamentals-program-evaluation-public-policy-online-3-days https://dresa.org.au/events/fundamentals-of-program-evaluation-in-public-policy-online-2a37eb8e-208e-4877-8316-b80b2bad2d09 The course is structured to progress participants through the key stages of an evaluation. Participants are exposed to key theories and approaches to evaluation, and then encouraged to consider the application of these approaches to their own work context. Participants will be guided through negotiation and planing an evaluation, through to final reporting and dissemination of findings. Examples from published studies and the facilitator's applied practice in evaluation will be drawn apon to illustrate and reinforce key concepts. 2025-01-20 10:00:00 UTC 2025-01-22 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all evaluationpublic policypublic programspolicy evaluation -
Multi-level Analysis using Mplus: Online
20 - 24 January 2025
Multi-level Analysis using Mplus: Online https://www.acspri.org.au/summer-program-2025/multi-level-analysis-using-mplus-online https://dresa.org.au/events/multi-level-analysis-using-mplus-online-a161d07c-5e81-4efd-b300-32b2cf1a0ae9 This course is designed as an introduction to the concepts and techniques required to analyse data that is multi-level in nature. (That is, data that is derived from subjects who are nested within groups or data that involves repeated measures that are nested within subjects) In conventional regression analysis it is assumed that subjects are randomly selected and, therefore, all the variance in your dependent variables is due solely to variation amongst individuals. However, in most studies, subjects are clustered within a group and multiple groups are sampled. For example, in an education study, we may have students clustered within multiple classes; in a human resourcing study, we may have employees clustered within multiple work units or teams. In such sampling, although some of the variance in your dependent variables will be due to variation amongst individuals, some the variance in your dependent variables will also be due to variation amongst the groups themselves. In such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. Repeated measure designs should also be analysed using multilevel analysis because the repeated observations are nested within subjects. For example, in a marketing study, we may have repeated measures of consumers’ attitudes to a brand over the life of a marketing campaign; in an epidemiology study, we may have repeated measures of a health outcome over the life of a drug treatment regime. In such studies, although some of the variance in your dependent variables will be due to variation across the various time occasions, some the variance in your dependent variables will also be due to variation amongst individuals themselves. Again, in such cases, multilevel analysis (MLA) should be employed to account for the different levels of variation. 2025-01-20 10:00:00 UTC 2025-01-24 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all multilevel modellingSEMStatistical MethodsStatistics -
Data Analysis Using Stata: Online
20 - 24 January 2025
Data Analysis Using Stata: Online https://www.acspri.org.au/summer-program-2025/data-analysis-using-stata-online https://dresa.org.au/events/data-analysis-using-stata-online-8f70c6bb-483c-445b-a08f-56082b7de9b2 Stata is a comprehensive integrated package for data management, analysis and graphics. Stata has a comprehensive GUI interface. Sample datasets will be provided, but you are encouraged to bring some of your own data for analysis in Excel or ASCII format. Teaching and practice will be closed integrated. Private consultations will be allocated during the course as needed. The course is suitable for beginners to the Stata package and will be presented in a way that introduces survey research. It is also appropriate to those familiar with Stata as it extends the capabilities of more experienced researchers. 2025-01-20 10:00:00 UTC 2025-01-24 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all STATAapplied statisticsStatistical MethodsStatistics -
Data Analysis in R: Online
20 January - 4 February 2025
Data Analysis in R: Online https://www.acspri.org.au/summer-program-2025/data-analysis-r-online https://dresa.org.au/events/data-analysis-in-r This course is intended for applied data analysts, including academics and postgraduate students, policy specialists and others. It will examine questions dealt with in public policy, the social sciences and industry, using real data. This includes surveys, and economics and public health data. The unit will help build participants’ ability to work with data in R and undertake rigorous statistical analysis, including spatial analysis and linear regression, and create publication-standard graphs of the results. The end result will be more professional and easy to understand research. Exercises will be provided, including additional problems and datasets for extra practice outside of scheduled sessions, and one-on-one consultations can be scheduled by appointment the following week. 2025-01-20 10:00:00 UTC 2025-02-04 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Introduction to RR statistical softwareR statisticsStatisticsStatistical Methods -
Introduction to Computer-assisted Qualitative Data Analysis using NVivo
3 - 7 February 2025
Parkville, Australia
Introduction to Computer-assisted Qualitative Data Analysis using NVivo https://www.acspri.org.au/summer-program-2025/introduction-computer-assisted-qualitative-data-analysis-using-nvivo https://dresa.org.au/events/introduction-to-computer-assisted-qualitative-data-analysis-using-nvivo-dd0743d2-612d-4326-bb92-1d2b834e23d3 In this 5 day course, participants will learn how to analyse qualitative data using NVivo. The course takes a holistic view of the analysis of qualitative data using computer assisted techniques. We will examine not only the mechanics of driving the NVivo software package, but also how to plan for the collection of data; preparation of data for analysis; as well as the analysis of the data. You will also be introduced to advanced analysis tools, including those for theory building, validation and presentation of findings. Participants will explore applications of the software to your own research projects. Sample data will be provided but you should bring your own data sets, if you have them, and/or copies of articles and research reports relevant to your field of study. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au [] [] 20 workshop open_to_all NVivoQualitative Researchqualitative dataData analysis -
Introduction to Qualitative Research
3 - 7 February 2025
Parkville, Australia
Introduction to Qualitative Research https://www.acspri.org.au/summer-program-2025/introduction-qualitative-research https://dresa.org.au/events/introduction-to-qualitative-research In this course you will learn about all elements of the qualitative research process and how they are interrelated. We will unpack the key components of qualitative research design, including the stances and theories that underpin qualitative methodologies, as well as techniques of data collection and analysis. We pay particular attention to what’s involved in ethically employing popular methods such as interviewing and observation. We also address the practical and ethical considerations of online methods, given the growing uptake of remote research during the coronavirus pandemic. The course combines lectures covering foundational issues with practical workshops that give you a chance to practice qualitative techniques first-hand. The target audience for this course is those who would like to become more familiar with qualitative research techniques, from postgraduate university students and staff to researchers in government and private organisations. 2025-02-03 09:00:00 UTC 2025-02-07 13:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au [] [] 20 workshop open_to_all Qualitative ResearchQualitative methodsIntroductoryqualitative data -
Applied Longitudinal Data Analysis
3 - 7 February 2025
Parkville, Australia
Applied Longitudinal Data Analysis https://www.acspri.org.au/summer-program-2025/applied-longitudinal-data-analysis https://dresa.org.au/events/applied-longitudinal-data-analysis-01850555-2b7e-44fe-bec7-ce8ce8a79285 Longitudinal Data Analysis is a very popular statistical method in a range of fields including medicine, natural resource management, business and economics. As well as allowing a researcher to elicit the changes in a subject (person, business, etc) over time, longitudinal data is also exceedingly powerful as it allows the within-subject and between-subject variance to be estimated independently (generally allowing the parameters in the statistical model to be estimated with a much tighter accuracy than traditional models). This course provides an overview of Longitudinal Data Analysis. As well as the statistical theory, an overview of the many applications and capabilities of LDA is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of LDA and how it is used by applied researchers. The workshop will focus on linear mixed effects models, however we will also go through generalized linear mixed effects models and any new material a participant will need to understand in order to successfully use generalized LME’s. There will be exercises using both types of models. The computer exercises for this workshop will be conducted in Stata. Stata has been chosen as it provides both basic and advanced functionality for conducting longitudinal data analyses. A full set of exercises and solutions in Stata will be provided in this workshop, where they include the Stata syntax required to perform each individual exercise. In addition the workshop presenter will demonstrate how to use Stata for the first exercise in each session prior to workshop participants individually working though the exercises for that session. While this workshop is primarily designed for participants using Stata, an alternative set of exercises can be provided for participants who would like to use R instead. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all longitudinal dataStatistical Methodsmixed effectsquantitative -
Qualitative Research: Design, Analysis and Representation
3 - 7 February 2025
Parkville, Australia
Qualitative Research: Design, Analysis and Representation https://www.acspri.org.au/summer-program-2025/qualitative-research-design-analysis-and-representation https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-9e3c11c2-470a-4eac-aff9-625df80944e9 The focus of this course is on issues of design and positioning, analysis and representation of qualitative research. This course only provides a generic overview of data collection methods, as it is assumed that participants will have experience with methods. Many of the examples will make reference to research in business, psychology and health. The target audience for this course are researchers, practitioners and academics who have conducted at least one qualitative study, and are familiar with the process and context of qualitative research. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 [] open_to_all Qualitative ResearchQualitative methodsqualitative data -
Introduction to Structural Equation Modelling
3 - 7 February 2025
Parkville, Australia
Introduction to Structural Equation Modelling https://www.acspri.org.au/summer-program-2025/introduction-structural-equation-modelling https://dresa.org.au/events/introduction-to-structural-equation-modelling Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed variables that measure latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed as an introductory SEM course aimed at introducing participants to the basic concept of SEM and to a range of structural equation models using AMOS and/or Mplus software to estimate the model parameters. Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. The target audience for this course is post graduate students, academic staff and other researchers needing to learn the basic concept of SEM and how to run structural equation models using either the AMOS and/or Mplus software. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all Structural equation modellingStatistical Methodsapplied statisticsquantitative -
Applied Statistical Procedures
3 - 7 February 2025
Parkville, Australia
Applied Statistical Procedures https://www.acspri.org.au/summer-program-2025/applied-statistical-procedures https://dresa.org.au/events/applied-statistical-procedures-708475ab-6452-4440-9605-4df561aa8833 This course will help you choose from a range of statistical procedures to analyse your data. What makes this course unique is that it is suitable for those with no prior knowledge of statistical software. You will learn how to: Familiarize yourself with basic statistical concepts: Before diving into more complex statistical procedures, it's important to have a solid understanding of basic statistical concepts such as mean, median, mode, standard deviation, correlation, and regression. We will make sure you are comfortable with these concepts before moving on to more advanced techniques. Practice with real-world examples: We use real-world examples of statistical procedures in action. This will help you understand how these procedures are used in practice and how to interpret their results. Use software to run statistical procedures: The course may be taken with Jamovi, a free statistical package, or SPSS. Collaborate with others: Collaborating with others who are also learning statistical procedures can be a great way to learn and reinforce your understanding of the material. You can work together to solve problems and discuss different approaches to analysing data. Remember that learning statistical procedures takes time and practice, so don't get discouraged if you don't understand everything right away. 2025-02-03 09:00:00 UTC 2025-02-07 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSS -
Fundamentals of Choice Modelling
3 - 4 February 2025
Parkville, Australia
Fundamentals of Choice Modelling https://www.acspri.org.au/master-class-feb-2025-fundamentals-choice-modelling https://dresa.org.au/events/fundamentals-of-choice-modelling Choice modelling is a specialised area of micro-econometrics that develops and applies mathematical models that represent human decision making. Choice models are used extensively to understand current behaviour and predict future choices in the applied fields of the economic sciences, especially environmental, health, and transport economics. Other application areas include business and marketing. In addition to addressing questions of academic interest, choice modelling informs policy and strategy making in these applied economic disciplines. This 2-day masterclass introduces students to choice models, discusses and contrasts the family of available model structures, and also talks about the data requirements, model estimation, and the use of models to produce outputs for policy. The course consists of a mix of theoretical lectures and case studies. 2025-02-03 09:00:00 UTC 2025-02-04 17:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all Choice modellingeconometricsmarketing -
ARDC Indigenous Data Governance Masterclass at Summer School 2025
3 February 2025
South Brisbane, Australia
ARDC Indigenous Data Governance Masterclass at Summer School 2025 https://www.eventbrite.com.au/e/ardc-indigenous-data-governance-masterclass-at-summer-school-2025-tickets-1027820327267 https://dresa.org.au/events/ardc-indigenous-data-governance-masterclass-at-summer-school-2025 Custodians of Indigenous data and researchers in any discipline are invited to learn about applying Indigenous data governance principles 2025-02-03 10:00:00 UTC 2025-02-03 17:00:00 UTC Australian Research Data Commons Stanley Place, South Brisbane, Australia Stanley Place South Brisbane Australia 4101 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 200 workshop open_to_all Science & TechnologyOther -
HASS and Indigenous Research Data Commons Summer School 2025
4 - 6 February 2025
Saint Lucia, Australia
HASS and Indigenous Research Data Commons Summer School 2025 https://www.eventbrite.com.au/e/hass-and-indigenous-research-data-commons-summer-school-2025-tickets-1027654802177 https://dresa.org.au/events/hass-and-indigenous-research-data-commons-summer-school-2025 The HASS and Indigenous research data community is invited to learn hands-on digital skills, network, and to inspire new research outcomes 2025-02-04 09:30:00 UTC 2025-02-06 14:30:00 UTC Australian Research Data Commons University of Queensland, Saint Lucia, Australia University of Queensland Saint Lucia Australia 4067 Australian Research Data Commons (ARDC) contact@ardc.edu.au [] [] 150 workshop open_to_all Science & TechnologyOther -
Applied Choice Modelling using Apollo
5 - 6 February 2025
Parkville, Australia
Applied Choice Modelling using Apollo https://www.acspri.org.au/master-class-feb-2025-applied-choice-modelling-using-apollo https://dresa.org.au/events/applied-choice-modelling-using-apollo Choice modelling is one the core methods of the applied economic sciences, including environmental, health, and transport economics. This 2-day masterclass provides participants with an introduction to applied choice modelling using the Apollo software. Apollo is open-source software for estimating choice models available in the R computing environment. The master-class will focus on hands-on exercises using the open-source Apollo software for the estimation of choice models. This is a lab-based masterclass introducing students to the use of the Apollo software. The masterclass will be applied and place its emphasis on the implementation of the methods and models used by choice modellers and on the analysis and interpretation of choice modelling results; links to choice modelling theory will be made, but this is not the emphasis of the course. The masterclass will introduce participants to the software and to the family of choice models estimable within Apollo. The focus will be “hands-on” exercises and estimating choice models using Apollo with data provided by the instructor. The masterclass will place particular emphasis on model estimation and interpretation. The exercises will span a range of application areas including environmental, health, and transport economics. 2025-02-05 09:00:00 UTC 2025-02-06 17:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3052 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 workshop open_to_all Choice modellingeconometricsmarketing -
Introduction to Social Network Research and Analysis: Online
10 - 14 February 2025
Introduction to Social Network Research and Analysis: Online https://www.acspri.org.au/summer-program-2025/introduction-social-network-research-and-analysis-online https://dresa.org.au/events/introduction-to-social-network-research-and-analysis-online-89a8f985-314b-43b0-a204-c1a5d1cb69a9 This course is designed for social researchers using qualitative and mixed methods. The course builds from the basic, pioneering methodologies of Social Network Analysis (SNA): survey-based egonet SNA and sociometric, "whole network' SNA, and their extensions, to network sensitive ethnographies, community networks, web-based network surveys and research on social media activities. The course reviews the possibilities for working with rich network data from interview or online sources and the unique perspectives that qualitative and social research traditions bring to these tasks. The course explores ways to best manage and explore different kinds of network data in Excel, uses UCINET and NetDraw to produce network diagrams and descriptive statistics. We review other appropriate software related to participants' needs. The course serves as a transition to the associated ACSPRI courses Network Analysis in Social, Business and Political Research and Big Data Analysis for Social Scientists. Network research designs covered in this course are: * Surveys using ego-centric network (egonet) methods * Network-sensitive ethnographies * Sociometric (‘round robin’) ‘whole network’ studies and small group research * Associational/ Affiliation (‘2-mode’) networks (including ethological studies) * Cognitive mapping and socio-cognitive mapping (SCM) For each methodology we consider the best ways to code and manage raw data, the most efficient formats for importing such data into visualisation and analysis software and appropriate measures and statistics for reporting findings. We also discuss the process of relating validated findings to broader research questions (‘meta-inference’), extrapolating them to other settings and associated questions of research design. 2025-02-10 09:30:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au Ph: +61 3 8376 6496 [] [] 12 workshop open_to_all social network researchSocial network analysisMixed MethodsQualitative ResearchQualitative methodssocial media data -
Foundations of Qualitative Methodologies, Data Collection and Analysis: Online
10 - 12 February 2025
Foundations of Qualitative Methodologies, Data Collection and Analysis: Online https://www.acspri.org.au/summer-program-2025/foundations-qualitative-methodologies-data-collection-and-analysis-online-3-day https://dresa.org.au/events/foundations-of-qualitative-methodologies-data-collection-and-analysis-online-f6d91eeb-18da-4656-bf0a-8207696d03c1 This is an introductory course which deals with the major decisions qualitative researchers needs to make initially: -research design and ethics -qualitative paradigms and methodology/ies The emphasis on the 2nd and 3rd days is on practical experience. The gaining of practice-based skills with regard to conducting both face-to-face and focus group interviews in person and online, and in gaining experience in analysing and displaying qualitative data. The target audience for this course is those who would like to become more familiar with qualitative research decisions and techniques, from postgraduate university students and staff, to researchers in government and private organisations. 2025-02-10 09:30:00 UTC 2025-02-12 15:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductory -
Fundamentals of Multiple Regression: Online
10 - 14 February 2025
Fundamentals of Multiple Regression: Online https://www.acspri.org.au/summer-program-2025/fundamentals-multiple-regression-online https://dresa.org.au/events/fundamentals-of-multiple-regression-online-9d4b2fa0-da15-4d3e-ad88-6fa7df7a5074 The course is designed for those who have limited knowledge and experience with multivariate statistical techniques and are seeking the knowledge and skills to use multiple regression for research at a post-graduate level and/or to publish in professional research journals. Particular attention is given to the application of multiple regression to substantive problems in the social and behavioral sciences. By the end of the course, you will understand the principles of multiple regression, and be able to conduct regression analyses, interpret the results, obtain regression diagnostics to test the underlying model assumptions and write-up the results for publication. The course notes provide instructions for using the major statistical packages (SPSS, SAS, Stata or R) for regression. Participants who are considering regression analysis of their own data are encouraged and there will be time for individual consultations. This course provides the foundations necessary for progression to ‘Applied Multiple Regression Analysis’, and to subsequent advanced-level courses in structural equation modelling and multi-level analysis. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Multiple RegressionquantitativeStatisticsStatistical Methodsapplied statisticsRegression analysis -
Advanced Structural Equation Modelling: Online
10 - 14 February 2025
Advanced Structural Equation Modelling: Online https://www.acspri.org.au/summer-program-2025/advanced-structural-equation-modelling-online https://dresa.org.au/events/advanced-structural-equation-modelling-online Introductory courses typically cover path analysis amongst observed variables, confirmatory factor analysis, and full SEM models with latent variables. This course covers a number of more complex models including models with mediating variables, models with interactions (moderation), ANOVA and ANCOVA models for latent outcomes, multi-level models (including repeated measures models) and mixture models. Furthermore, introductory courses usually deal only with continuous, normally distributed variables. This course addresses the treatment of non-normal data and covers the analysis of observed categorical variables including ordered categorical (ordinal) variables such as Likert scales and unordered categorical (nominal) variables that may be binary (Male/Female, Problem Gambler/Non Gambler, Smoker/Non-Smoker, etc.) or polynomial (Australian/Indonesian/South African, etc.) Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. The target audience for this course is existing AMOS and/or Mplus users. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Structural equation modellingAdvancedSEMMplusAMOS -
Qualitative Research: Design, Analysis and Representation: Online
10 - 14 February 2025
Qualitative Research: Design, Analysis and Representation: Online https://www.acspri.org.au/summer-program-2025/qualitative-research-design-analysis-and-representation-online https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-online-212ea68f-b59b-4692-8256-8ad14cd55442 The focus of this course is on issues of design and positioning, analysis and representation of qualitative research. This course only provides a generic overview of data collection methods, as it is assumed that participants will have experience with methods. Many of the examples will make reference to research in business, psychology and health. The target audience for this course are researchers, practitioners and academics who have conducted at least one qualitative study, and are familiar with the process and context of qualitative research. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsqualitative data -
Applied Statistical Procedures: Online
10 - 14 February 2025
Applied Statistical Procedures: Online https://www.acspri.org.au/summer-program-2025/applied-statistical-procedures-online https://dresa.org.au/events/applied-statistical-procedures-online-f83424fd-9b9e-46bb-9a24-7bbf928c7172 This course will help you choose from a range of statistical procedures to analyse your data. What makes this course unique is that it is suitable for those with no prior knowledge of statistical software. You will learn how to: Familiarize yourself with basic statistical concepts: Before diving into more complex statistical procedures, it's important to have a solid understanding of basic statistical concepts such as mean, median, mode, standard deviation, correlation, and regression. We will make sure you are comfortable with these concepts before moving on to more advanced techniques. Practice with real-world examples: We use real-world examples of statistical procedures in action. This will help you understand how these procedures are used in practice and how to interpret their results. Use software to run statistical procedures: The course may be taken with Jamovi, a free statistical package, or SPSS. Collaborate with others: Collaborating with others who are also learning statistical procedures can be a great way to learn and reinforce your understanding of the material. You can work together to solve problems and discuss different approaches to analysing data. Remember that learning statistical procedures takes time and practice, so don't get discouraged if you don't understand everything right away. 2025-02-10 10:00:00 UTC 2025-02-14 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSSJamovi -
Social Media Network and Text Analysis: Online
10 - 13 February 2025
Social Media Network and Text Analysis: Online https://www.acspri.org.au/summer-program-2025/social-media-network-and-text-analysis-online-4-day https://dresa.org.au/events/social-media-network-and-text-analysis-online-f6093406-3c70-4ce9-b6bc-95bcc4a4898d This course introduces participants to approaches for collecting and analysing network and text data from social media, (Reddit, YouTube and Mastodon) and the WWW (hyperlink networks). In terms of analysis, the focus is on the application of social network analysis (SNA) and quantitative text analysis to online data. While the main software used in the course is R, we also introduce Gephi for advanced visualisation. Data collection is via the VOSON R Packages (VOSON Dashboard, vosonSML). We also cover other important R packages for network and text analysis such as: igraph (network analysis and visualisation), quanteda (quantitative analysis of textual data), tidytext (text mining), and wordcloud (text word clouds). The course will be particularly useful to academics and PhD students who want to become more computationally literate, and those from technical disciplines (e.g. computer science, engineering, information science) who want to become more familiar with social science approaches to analysing social media data. The course will also be useful for people from industry and government whose work involves quantitative analysis of social media data, e.g. for marketing, social research, public relations, brand management, journalism, opinion analysis. 2025-02-10 16:30:00 UTC 2025-02-13 21:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all social network researchSocial network analysissocial media dataR statistical softwarequantitativeRedditYouTubeMastodon
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