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  • Applied Longitudinal Data Analysis: Online

    20 - 24 January 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://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://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 in R: Online

    20 January - 4 February 2025

    Data Analysis in 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://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

  • Applied Longitudinal Data Analysis

    3 - 7 February 2025

    Parkville, Australia

    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

  • Applied Statistical Procedures

    3 - 7 February 2025

    Parkville, Australia

    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://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

  • Applied Choice Modelling using Apollo

    5 - 6 February 2025

    Parkville, Australia

    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://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://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://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 Statistical Analysis Using R: Online

    10 - 14 February 2025

    Advanced Statistical Analysis Using R: Online https://dresa.org.au/events/advanced-statistical-analysis-using-r-online-708c5af9-2c57-4a76-b8a0-4b681a594ba1 The focus of this course is on learning advanced statistical methods using R. R is a free software environment for scientific and statistical computing and graphics that runs on all common computing platforms. An active and highly skilled developer community works on development and improvement. It has become an environment of choice for the implementation of new methodology. It is at the same time attracting wide attention from statistical application area specialists. The powerful and innovative graphics abilities available in R include the provision of well-designed publication-quality plots. The first day of this course will focus on the R software environment, the remaining days of this workshop will focus on learning advanced statistical methods with R. We will spend an almost equal amount of time in PowerPoint sessions and computer exercises. During the PowerPoint sessions the focus will be on the statistical methods with minimal discussion of computer software. During the computer exercise time you will be using R to apply the statistical methods taught in the lectures. At the start of each session of computer exercises Mark will perform the first exercise in each set on his own computer demonstrating to the class the use of the software and the statistical results obtained. 2025-02-10 10:00:00 UTC 2025-02-14 17:00:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R statisticsStatistical MethodsStatisticsR statistical software

  • Advanced Structural Equation Modelling: Online

    10 - 14 February 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://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://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://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

  • NVivo Essentials: Online

    25 - 27 March 2025

    NVivo Essentials: Online https://dresa.org.au/events/nvivo-essentials-online-fc34269c-4eea-497a-a6a7-ec46a01a248d NVivo is computer software package produced by QSR International that supports qualitative and mixed methods research. It has been designed for researchers working with very rich text-based and/or multimedia information, (including interviews, open-ended survey responses, picture/audio/video data, articles, social media and web content), where deep levels of analysis on small or large volumes of data are required. This workshop is aimed at providing researchers with essential skills in using NVivo software. Those choosing to enrol in this course will be working on or about to embark on a research project. The course assumes no prior skills with using NVivo, however will cater for all levels of participants, from novice to advanced users. 2025-03-25 10:00:00 UTC 2025-03-27 14:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Qualitative ResearchMixed MethodsText Analyticsmultimedia analysis NVivo

  • Predictive Analytics for Data Science: Linear and Non-Linear Modelling

    28 - 29 March 2025

    Predictive Analytics for Data Science: Linear and Non-Linear Modelling https://dresa.org.au/events/predictive-analytics-for-data-science-linear-and-non-linear-modelling-e8d89bd0-1e2e-44ba-b3bf-5f3094a2130f This masterclass is an introduction to linear and non-linear predictive models. It will provide an interactive step-by-step guide to running these models and key diagnostics using the R software platform. Regression modelling is a foundation in data science and a must for anyone wanting to venture into this space. Understanding when and how to use linear and non-linear regression models in everyday research is an essential skill for any analyst. Linear and non-linear regression models are commonly used to quantify the relationship between two or more variables by predicting a key outcome of interest. These models are used as effective and powerful tools to control for the potential confounding effect of extraneous variables and/or developing highly predictive models. Linear regression relates to continuous outcomes and is a fundamental regression technique in data science. Logistic regression is used when the outcome of interest is categorical and a fundamental classification technique in data science. When there is no theoretical or mechanistic model to suggest a particular functional form to describe the relationship between two or more variables of interest, Generalized Additive Models (GAMs) can used as they fit a nonparametric curve to the data without requiring pre-defining any particular mathematical model to describe the nonlinearity. Gaining a sound understanding of all these models is essential to understand when it is appropriate to use these techniques. 2025-03-28 09:30:00 UTC 2025-03-29 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Predictive modelsPredictive AnalyticsData Sciencesocial data science

  • Questionnaire Design: Online

    3 - 4 April 2025

    Questionnaire Design: Online https://dresa.org.au/events/questionnaire-design-online-faf39ce5-2cb1-44a5-81f1-b9191d4a50a4 This two day workshop will focus on questionnaire design: types of questions, types of response categories, open versus closed ended questions, questionnaire layout and order of questions and questioning, common mistakes, pilot testing and specific issues such as “The importance of Cover Design.” The workshop includes practice designing the layout of surveys and practice critiquing and writing questions and responses. Topics that are covered include uses of surveys, constructing survey questions that are clear and unbiased, the need to match attitudinal or behavioral data collection with the purpose of the survey, and combining objective and open-ended questioning in order to enhance the usability of results. Types of data that can be collected in surveys will be covered, as well common mistakes made with surveys. The use of an internet survey tool will be demonstrated. 2025-04-03 10:00:00 UTC 2025-04-04 16:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Questionnaire designsurvey designsurvey instrumentssurvey research

  • LimeSurvey Web Surveys: Online

    1 May 2025

    LimeSurvey Web Surveys: Online https://dresa.org.au/events/limesurvey-web-surveys-8e41122a-a411-43e1-b901-3cf0b6b244ad Limesurvey is a powerful web based survey tool, used in many fields for conducting high quality web based surveys. This workshop runs through setting up, conducting and exporting your data for a web based survey in the freely available Limesurvey web survey software system. If you already have a draft questionnaire, you could use this workshop as an opportunity to have it programmed in the Limesurvey system. 2025-05-01 09:30:00 UTC 2025-05-01 16:30:00 UTC ACSPRI online online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all survey designsurvey researchsurvey instrumentsLimeSurveyweb survey

  • Focus Group Design and Moderation: Online

    12 - 15 May 2025

    Focus Group Design and Moderation: Online https://dresa.org.au/events/focus-group-design-and-moderation-online-1d1eade5-aae4-47ea-b6c8-5e37102691fb This master-class runs over three half days and equips participants with practical techniques and a solid understanding of focus group methods for social research. The course covers the theoretical foundations of conducting focus groups, including their value, limitations, and ethical considerations. With a trauma-informed lens, participants will learn how to translate research questions into effective discussion guides and apply them in practice, using group activities for both face-to-face and online settings. The masterclass also includes opportunities to develop moderation skills and create materials for participants' own research projects (or someone else’s). Practical guidance will be provided on setting up a safe, engaging group environment (in-person or virtual), managing challenging group dynamics, handling logistical considerations, and preparing for the next steps in data analysis. 2025-05-12 09:30:00 UTC 2025-05-15 13:45:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Focus groupsfocus group designfocus group moderationqualitative dataqualitative interviewing

  • NVivo for a Literature Review

    29 - 30 July 2025

    NVivo for a Literature Review https://dresa.org.au/events/nvivo-for-a-literature-review-906a8ae0-fcd1-4235-b940-dd76481d8e9c NVivo can be a powerful tool to help you conduct your literature review in an effective and efficient way. This workshop introduces NVivo, and takes researchers through the process of sorting and organising literature and notes from readings in a systematic way. By the end of the workshop attendees will: Have a basic understanding on how to use NVivo How to get the most out of their literature using NVivo The workshop is relevant to researchers at all stages and across all disciplines. No prior knowledge of NVivo is necessary in order to attend the class. It starts from the very basics of the software. 2025-07-29 09:30:00 UTC 2025-07-30 12:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all NVivoqualitative dataQualitative methodsData analysisliterature review

  • Applied Longitudinal Data Analysis: Online

    20 - 24 January 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://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://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 in R: Online

    20 January - 4 February 2025

    Data Analysis in 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://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

  • Applied Longitudinal Data Analysis

    3 - 7 February 2025

    Parkville, Australia

    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

  • Applied Statistical Procedures

    3 - 7 February 2025

    Parkville, Australia

    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://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

  • Applied Choice Modelling using Apollo

    5 - 6 February 2025

    Parkville, Australia

    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://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://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://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 Statistical Analysis Using R: Online

    10 - 14 February 2025

    Advanced Statistical Analysis Using R: Online https://dresa.org.au/events/advanced-statistical-analysis-using-r-online-708c5af9-2c57-4a76-b8a0-4b681a594ba1 The focus of this course is on learning advanced statistical methods using R. R is a free software environment for scientific and statistical computing and graphics that runs on all common computing platforms. An active and highly skilled developer community works on development and improvement. It has become an environment of choice for the implementation of new methodology. It is at the same time attracting wide attention from statistical application area specialists. The powerful and innovative graphics abilities available in R include the provision of well-designed publication-quality plots. The first day of this course will focus on the R software environment, the remaining days of this workshop will focus on learning advanced statistical methods with R. We will spend an almost equal amount of time in PowerPoint sessions and computer exercises. During the PowerPoint sessions the focus will be on the statistical methods with minimal discussion of computer software. During the computer exercise time you will be using R to apply the statistical methods taught in the lectures. At the start of each session of computer exercises Mark will perform the first exercise in each set on his own computer demonstrating to the class the use of the software and the statistical results obtained. 2025-02-10 10:00:00 UTC 2025-02-14 17:00:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R statisticsStatistical MethodsStatisticsR statistical software

  • Advanced Structural Equation Modelling: Online

    10 - 14 February 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://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://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://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

  • NVivo Essentials: Online

    25 - 27 March 2025

    NVivo Essentials: Online https://dresa.org.au/events/nvivo-essentials-online-fc34269c-4eea-497a-a6a7-ec46a01a248d NVivo is computer software package produced by QSR International that supports qualitative and mixed methods research. It has been designed for researchers working with very rich text-based and/or multimedia information, (including interviews, open-ended survey responses, picture/audio/video data, articles, social media and web content), where deep levels of analysis on small or large volumes of data are required. This workshop is aimed at providing researchers with essential skills in using NVivo software. Those choosing to enrol in this course will be working on or about to embark on a research project. The course assumes no prior skills with using NVivo, however will cater for all levels of participants, from novice to advanced users. 2025-03-25 10:00:00 UTC 2025-03-27 14:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Qualitative ResearchMixed MethodsText Analyticsmultimedia analysis NVivo

  • Predictive Analytics for Data Science: Linear and Non-Linear Modelling

    28 - 29 March 2025

    Predictive Analytics for Data Science: Linear and Non-Linear Modelling https://dresa.org.au/events/predictive-analytics-for-data-science-linear-and-non-linear-modelling-e8d89bd0-1e2e-44ba-b3bf-5f3094a2130f This masterclass is an introduction to linear and non-linear predictive models. It will provide an interactive step-by-step guide to running these models and key diagnostics using the R software platform. Regression modelling is a foundation in data science and a must for anyone wanting to venture into this space. Understanding when and how to use linear and non-linear regression models in everyday research is an essential skill for any analyst. Linear and non-linear regression models are commonly used to quantify the relationship between two or more variables by predicting a key outcome of interest. These models are used as effective and powerful tools to control for the potential confounding effect of extraneous variables and/or developing highly predictive models. Linear regression relates to continuous outcomes and is a fundamental regression technique in data science. Logistic regression is used when the outcome of interest is categorical and a fundamental classification technique in data science. When there is no theoretical or mechanistic model to suggest a particular functional form to describe the relationship between two or more variables of interest, Generalized Additive Models (GAMs) can used as they fit a nonparametric curve to the data without requiring pre-defining any particular mathematical model to describe the nonlinearity. Gaining a sound understanding of all these models is essential to understand when it is appropriate to use these techniques. 2025-03-28 09:30:00 UTC 2025-03-29 17:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all Predictive modelsPredictive AnalyticsData Sciencesocial data science

  • Questionnaire Design: Online

    3 - 4 April 2025

    Questionnaire Design: Online https://dresa.org.au/events/questionnaire-design-online-faf39ce5-2cb1-44a5-81f1-b9191d4a50a4 This two day workshop will focus on questionnaire design: types of questions, types of response categories, open versus closed ended questions, questionnaire layout and order of questions and questioning, common mistakes, pilot testing and specific issues such as “The importance of Cover Design.” The workshop includes practice designing the layout of surveys and practice critiquing and writing questions and responses. Topics that are covered include uses of surveys, constructing survey questions that are clear and unbiased, the need to match attitudinal or behavioral data collection with the purpose of the survey, and combining objective and open-ended questioning in order to enhance the usability of results. Types of data that can be collected in surveys will be covered, as well common mistakes made with surveys. The use of an internet survey tool will be demonstrated. 2025-04-03 10:00:00 UTC 2025-04-04 16:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Questionnaire designsurvey designsurvey instrumentssurvey research

  • LimeSurvey Web Surveys: Online

    1 May 2025

    LimeSurvey Web Surveys: Online https://dresa.org.au/events/limesurvey-web-surveys-8e41122a-a411-43e1-b901-3cf0b6b244ad Limesurvey is a powerful web based survey tool, used in many fields for conducting high quality web based surveys. This workshop runs through setting up, conducting and exporting your data for a web based survey in the freely available Limesurvey web survey software system. If you already have a draft questionnaire, you could use this workshop as an opportunity to have it programmed in the Limesurvey system. 2025-05-01 09:30:00 UTC 2025-05-01 16:30:00 UTC ACSPRI online online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all survey designsurvey researchsurvey instrumentsLimeSurveyweb survey

  • Focus Group Design and Moderation: Online

    12 - 15 May 2025

    Focus Group Design and Moderation: Online https://dresa.org.au/events/focus-group-design-and-moderation-online-1d1eade5-aae4-47ea-b6c8-5e37102691fb This master-class runs over three half days and equips participants with practical techniques and a solid understanding of focus group methods for social research. The course covers the theoretical foundations of conducting focus groups, including their value, limitations, and ethical considerations. With a trauma-informed lens, participants will learn how to translate research questions into effective discussion guides and apply them in practice, using group activities for both face-to-face and online settings. The masterclass also includes opportunities to develop moderation skills and create materials for participants' own research projects (or someone else’s). Practical guidance will be provided on setting up a safe, engaging group environment (in-person or virtual), managing challenging group dynamics, handling logistical considerations, and preparing for the next steps in data analysis. 2025-05-12 09:30:00 UTC 2025-05-15 13:45:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Focus groupsfocus group designfocus group moderationqualitative dataqualitative interviewing

  • NVivo for a Literature Review

    29 - 30 July 2025

    NVivo for a Literature Review https://dresa.org.au/events/nvivo-for-a-literature-review-906a8ae0-fcd1-4235-b940-dd76481d8e9c NVivo can be a powerful tool to help you conduct your literature review in an effective and efficient way. This workshop introduces NVivo, and takes researchers through the process of sorting and organising literature and notes from readings in a systematic way. By the end of the workshop attendees will: Have a basic understanding on how to use NVivo How to get the most out of their literature using NVivo The workshop is relevant to researchers at all stages and across all disciplines. No prior knowledge of NVivo is necessary in order to attend the class. It starts from the very basics of the software. 2025-07-29 09:30:00 UTC 2025-07-30 12:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all NVivoqualitative dataQualitative methodsData analysisliterature review

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