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Fields: PSYCHOLOGY AND COGNITIVE SC... 

  • Applied Qualitative Interviewing Methods: Online

    5 October 2022

    Applied Qualitative Interviewing Methods: Online https://dresa.org.au/events/applied-qualitative-interviewing-methods-online This is a one-day immersive workshop. You will have the opportunity to reflect on the data you have collected and will collect, revise the way you frame your questions, redesign your interview protocol, and practise interview behaviours through role-played mock interviews. By the end of this workshop, you will be able to critically review any interview protocol and elicit deep, meaningful data from your participants. The workshop is relevant to research and policy officers in government or the private sector, Higher Degree Research students who want to collect deep, meaningful data. This workshop is particularly helpful even for experienced researchers who want to update and improve their interviewing skills in an ever-evolving research environment. 2022-10-05 09:30:00 UTC 2022-10-05 16:45:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all qualitative interviewinginterviewQualitative Researchqualitative data
  • Trends, Challenges and the Art of Survey Writing for Research: Online

    10 - 11 October 2022

    Trends, Challenges and the Art of Survey Writing for Research: Online https://dresa.org.au/events/trends-challenges-and-the-art-of-survey-writing-for-research-online We are in the middle of a data revolution. Research and decision-making in the private, not for profit and public sectors are not immune from these trends, and have become increasingly data-driven. Data collection is a significant part of this, and the use of surveys has become increasingly important to gather information on public opinion and consumer behaviour. However, there have been some high profile misses in recent years: the 2016 US Presidential election and Brexit being the most significant of these. What caused these errors, and can good survey design save us from making the same mistakes? Taught by an instructor with real-world experience as a campaign consultant, survey researcher and data scientist, this masterclass will focus on teaching you about survey design. We will explore how surveys can be effectively used to collect data for research, target campaigns and messaging, or design policy. You will be shown how modern survey research works, and sometimes doesn’t, how technology and social trends are changing survey research, and the best ways to write effective survey questions. It will provide you with the knowledge and skills to develop the survey instruments needed for data-driven research, decision making and advice. 2022-10-10 10:00:00 UTC 2022-10-11 16:00:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all survey designsurvey researchsurvey instruments
  • Structural Equation Modelling using Stata: Online

    28 - 29 October 2022

    Structural Equation Modelling using Stata: Online https://dresa.org.au/events/structural-equation-modelling-using-stata-online This course is designed for participants with an introductory-level understanding of the statistical methods of regression analysis and exploratory factor analysis. Participants will experience hands-on SEM examples and have the ability to build their own Stata SEM models. This workshop is targeted at those researchers who wish to expand their understanding of this highly powerful technique. SEM has been utilised in many areas of research from psychology to medicine. 2022-10-28 09:00:00 UTC 2022-10-29 17:00:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Structural equation modellingSEMStatisticsSTATA
  • NVivo Essentials: Online

    3 - 4 November 2022

    NVivo Essentials: Online https://dresa.org.au/events/nvivo-essentials-online 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. 2022-11-03 09:30:00 UTC 2022-11-04 16:30:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchMixed MethodsText Analyticsmultimedia analysis NVivo
  • Questionnaire Design: Online

    10 - 11 November 2022

    Questionnaire Design: Online https://dresa.org.au/events/questionnaire-design-online 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. 2022-11-10 10:00:00 UTC 2022-11-11 16:00:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Questionnaire designsurvey designsurvey instrumentssurvey research
  • Focus Group Design and Moderation: Online

    17 - 18 November 2022

    Focus Group Design and Moderation: Online https://dresa.org.au/events/focus-group-design-and-moderation-online This master-class runs over two days and will provide participants with a comprehensive understanding of how to apply focus group methods for social research. The class will step through the theoretical basis for conducting focus groups, their value and limitations. It will detail how to translate your research questions into an effective discussion guide and how to put that guide into practice using group activities for face-to-face and online groups. The master-class will give participants the opportunity to observe or moderate a mock focus group online, will provide techniques to manage challenging group dynamics, and an overview on the next steps for data analysis. The workshop is relevant to anyone intending to conduct focus groups. This could include experienced researchers, Higher Degree Research students, government or not-for-profit professionals involved in community consultations, or private sector professionals involved in market research or evaluations. 2022-11-17 09:30:00 UTC 2022-11-18 16:30:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Focus groupsfocus group designfocus group moderationqualitative dataqualitative interviewing
  • Introduction to Computer-assisted Qualitative Data Analysis using NVivo: Online

    16 - 20 January 2023

    Introduction to Computer-assisted Qualitative Data Analysis using NVivo: Online https://dresa.org.au/events/introduction-to-computer-assisted-qualitative-data-analysis-using-nvivo-online 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. 2023-01-16 09:30:00 UTC 2023-01-20 16:30:00 UTC ACSPRI online online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all NVivoQualitative Researchqualitative dataData analysis
  • Introduction to Social Network Research and Analysis: Online

    16 - 20 January 2023

    Introduction to Social Network Research and Analysis: Online https://dresa.org.au/events/introduction-to-social-network-research-and-analysis-online 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. 2023-01-16 09:30:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all social network researchSocial network analysisMixed MethodsQualitative ResearchQualitative methodssocial media data
  • Introduction to Qualitative Research: Online

    16 - 20 January 2023

    Introduction to Qualitative Research: Online https://dresa.org.au/events/introduction-to-qualitative-research-online In this course you will learn about the foundational elements of qualitative research 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 short 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. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductoryqualitative data
  • Fundamentals of Statistics: Online

    16 - 20 January 2023

    Fundamentals of Statistics: Online https://dresa.org.au/events/fundamentals-of-statistics-online In this course you will obtain a solid foundation in basic statistical concepts and procedures to progress with some confidence into more advanced topics. This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences, although these introductory techniques are also appropriate to the health sciences. Key examples from journal articles will be presented to illustrate the use and reporting of the statistical techniques covered in this unit. Our approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory. Participants familiar with the use of a statistical software package, but lacking statistical training should also start with this course. SOFTWARE The course will be using the free and open-source software jamovi. The software jamovi can be downloaded from https://www.jamovi.org.download.html While jamovi is built on top of the R statistical language, it has a look and feel very similar to IBM SPSS Statistics and in many ways is easier to use. Depending on student preferences, there will be an opportunity to use IBM SPSS Statistics v28. Instructions will be provided for both packages and students can choose either jamovi or IBM Statistics v28. 2023-01-16 10:00:00 UTC 2023-01-20 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Fundamentals of StatisticsStatistical MethodsJamoviquantitativeStatistics
  • Fundamentals of Program Evaluation in Public Policy: Online

    16 - 20 January 2023

    Fundamentals of Program Evaluation in Public Policy: Online https://dresa.org.au/events/fundamentals-of-program-evaluation-in-public-policy-online The course is structured to progress participants through the stages of an evaluation from conceptualisation through to negotiating the design, data collection, synthesis and reporting stages. You will be exposed to key theories and approaches to evaluation and then have the opportunity to apply these to real examples of evaluations. Examples from published studies and the grey literature, and the facilitator’s applied practice in evaluation will be drawn upon to illustrate and reinforce key concepts. This course is designed for public sector workers and academics who are interested in commissioning, managing or conducting evaluations of public policy or programs. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all evaluationpublic policypublic programspolicy evaluation
  • Fundamentals of Structural Equation Modelling: Online

    16 - 20 January 2023

    Fundamentals of Structural Equation Modelling: Online https://dresa.org.au/events/fundamentals-of-structural-equation-modelling-online Structural equation modelling—or structural equations with latent variables—is a very general statistical model and widely used method. For example, SEM is used in fundamental disciplines such as the social, economic and psychological sciences, the biological sciences, and applied disciplines such as education, health and marketing. SEM has become popular for several reasons, apart from its generality: (i) all SEM models can be represented visually, (ii) a standard notation helps researchers to communicate, and (iii) several software packages for estimating SEM models are readily available (e.g., AMOS, LISREL, Mplus, R). This course provides an overview of the fundamentals of SEM. As well as the statistical theory, an overview of the many applications and capabilities of SEM is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of SEM and how it is used by applied researchers. General aims of the course are for students to develop a readiness for using SEM software and to develop the requisite knowledge for applying SEM methods and models in an intelligent way. Note that participants may be invited to briefly present their own research on the last day of class. This exercise, along with the formal lecture material, might help participants to chart a direction forward in their study and application of SEM. 2023-01-16 10:00:00 UTC 2023-01-20 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all SEMStructural equation modellingStatistical Methodsquantitative
  • Multi-level Analysis using Mplus: Online

    16 - 20 January 2023

    Multi-level Analysis using Mplus: Online https://dresa.org.au/events/multi-level-analysis-using-mplus-online 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. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all multilevel modellingSEMStatistical MethodsStatistics
  • Foundations of R for Research: Online

    19 - 20 January 2023

    Foundations of R for Research: Online https://dresa.org.au/events/foundations-of-r-for-research-online This course is a step by step interactive introduction for participants with no experience with R and RStudio. Notes will be provided and a set of exercises, covering a variety of data sets, will be run together during the lecture and also individually at the end of the day. The course content is particularly suited for those involved in research in the business, education, social and health sciences. Participants will first be introduced to the foundations of R such as libraries, matrix manipulation, objects, and data frames. Participants will use R Markdown in RStudio to generate reports, tables and graphics to Word, PDF and HTML files. Once the foundations have been covered a variety of data management skills will introduced (e.g. filtering data, merging data). The production of descriptive statistics tables and graphs will be covered so that participants can easily use RStudio to explore data and produce reports. The last session on each day will finish with a set of exercises for participants to run on their own and practice what they have learned that day. Please note that due to the short 2-day structure, there will not be any time set aside for analysing participant’s own data. 2023-01-19 09:30:00 UTC 2023-01-20 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R softwareIntroductoryR statistical software
  • Foundations of Qualitative Methodologies, Data Collection and Analysis: Online

    6 - 8 February 2023

    Foundations of Qualitative Methodologies, Data Collection and Analysis: Online https://dresa.org.au/events/foundations-of-qualitative-methodologies-data-collection-and-analysis-online This is an introductory course which deals with the major decisions a qualitative researchers needs to make initially: * framing * 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. 2023-02-06 09:30:00 UTC 2023-02-08 15:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductory
  • Social Media Network and Text Analysis : Online

    6 - 8 February 2023

    Social Media Network and Text Analysis : Online https://dresa.org.au/events/social-media-network-and-text-analysis-online This course introduces participants to approaches for collecting and analysing network and text data from social media, (Twitter, YouTube and Reddit) 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, voson.tcn). 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. 2023-02-06 09:30:00 UTC 2023-02-08 17:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all social network researchSocial network analysissocial media dataR statistical softwarequantitative
  • Applied Statistical Procedures: Online

    6 - 10 February 2023

    Applied Statistical Procedures: Online https://dresa.org.au/events/applied-statistical-procedures-online This is an intermediate, applied course covering a range of the most commonly used statistical procedures. Research design, Experimental, Quasi-Experimental and Non-Experimental, will be covered so students can select the best design and statistical procedure for a research project, and to clarify exactly what claims can be made in relation to findings. It aims to provide participants with an ability to understand, run and interpret procedures. This course will further enhance your ability to understand research-based literature. The level falls between ‘Fundamentals of Statistics’, and the more detailed single procedure based courses. This course will provide a good foundation for progression to the more detailed courses in (Multiple) Regression, Factor Analysis, SEM and Latent Variables using Mplus. On completing this course you should be able to read and understand literature where these procedures are reported, select the appropriate statistical procedure for research, run the procedure, and report the results from an informed base of understanding. The course is taught from an applied prospective, with questions encouraged. The statistical package employed will be SPSS. No prior knowledge of SPSS is required. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSS
  • Fundamentals of Multiple Regression: Online

    6 - 10 February 2023

    Fundamentals of Multiple Regression: Online https://dresa.org.au/events/fundamentals-of-multiple-regression-online 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. (See Course Program below.) 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) 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. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Multiple RegressionquantitativeStatisticsStatistical Methodsapplied statistics
  • Data Analysis in R: Online

    6 - 10 February 2023

    Data Analysis in R: Online https://dresa.org.au/events/data-analysis-in-r-online 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. This is a problem-based course for subject matter experts who want to use R to take their quantitative analysis to the next level. By the end of the week you will be able to better conduct descriptive analysis and regression in R, and will be able to create impressive looking data visualisations. R is open source and free. It is flexible, powerful and intuitive and it is excellent for data visualisation. As it is open source, R has thousands of developers in leading universities, corporate research labs and other institutions across the world. This means its capabilities tend to exceed competing software, with new packages added or updated daily. This is particularly the case for data visualisation, in which R tends to lead the pack. As there is no licence, you can take it with you wherever you go. No matter where you work, you don't have to change software packages when you change employers. Consequently, R has becoming increasingly popular for academic research, economics analysis and public policy development. This trend is only likely to continue. Being skilled in R will help build your personal capabilities and employment opportunities by making you a more flexible worker capable of undertaking analysis many other researchers and analysts cannot. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R studioR statisticsR statistical softwareIntroductory
  • Qualitative Research: Design, Analysis and Representation: Online

    6 - 10 February 2023

    Qualitative Research: Design, Analysis and Representation: Online https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-online 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. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsqualitative data
  • Data Analysis Using Stata: Online

    6 - 10 February 2023

    Data Analysis Using Stata: Online https://dresa.org.au/events/data-analysis-using-stata-online 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. 2023-02-06 10:00:00 UTC 2023-02-10 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all STATAapplied statisticsStatistical MethodsStatistics
  • Advanced Statistical Analysis Using R: Online

    6 - 10 February 2023

    Advanced Statistical Analysis Using R: Online https://dresa.org.au/events/advanced-statistical-analysis-using-r-online 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. 2023-02-06 10:00:00 UTC 2023-02-10 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

    6 - 10 February 2023

    Advanced Structural Equation Modelling: Online https://dresa.org.au/events/https-www-acspri-org-au-summer-program-2023-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. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Structural equation modellingAdvancedSEMMplusAMOS
  • Applied Qualitative Interviewing Methods: Online

    5 October 2022

    Applied Qualitative Interviewing Methods: Online https://dresa.org.au/events/applied-qualitative-interviewing-methods-online This is a one-day immersive workshop. You will have the opportunity to reflect on the data you have collected and will collect, revise the way you frame your questions, redesign your interview protocol, and practise interview behaviours through role-played mock interviews. By the end of this workshop, you will be able to critically review any interview protocol and elicit deep, meaningful data from your participants. The workshop is relevant to research and policy officers in government or the private sector, Higher Degree Research students who want to collect deep, meaningful data. This workshop is particularly helpful even for experienced researchers who want to update and improve their interviewing skills in an ever-evolving research environment. 2022-10-05 09:30:00 UTC 2022-10-05 16:45:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all qualitative interviewinginterviewQualitative Researchqualitative data
  • Trends, Challenges and the Art of Survey Writing for Research: Online

    10 - 11 October 2022

    Trends, Challenges and the Art of Survey Writing for Research: Online https://dresa.org.au/events/trends-challenges-and-the-art-of-survey-writing-for-research-online We are in the middle of a data revolution. Research and decision-making in the private, not for profit and public sectors are not immune from these trends, and have become increasingly data-driven. Data collection is a significant part of this, and the use of surveys has become increasingly important to gather information on public opinion and consumer behaviour. However, there have been some high profile misses in recent years: the 2016 US Presidential election and Brexit being the most significant of these. What caused these errors, and can good survey design save us from making the same mistakes? Taught by an instructor with real-world experience as a campaign consultant, survey researcher and data scientist, this masterclass will focus on teaching you about survey design. We will explore how surveys can be effectively used to collect data for research, target campaigns and messaging, or design policy. You will be shown how modern survey research works, and sometimes doesn’t, how technology and social trends are changing survey research, and the best ways to write effective survey questions. It will provide you with the knowledge and skills to develop the survey instruments needed for data-driven research, decision making and advice. 2022-10-10 10:00:00 UTC 2022-10-11 16:00:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all survey designsurvey researchsurvey instruments
  • Structural Equation Modelling using Stata: Online

    28 - 29 October 2022

    Structural Equation Modelling using Stata: Online https://dresa.org.au/events/structural-equation-modelling-using-stata-online This course is designed for participants with an introductory-level understanding of the statistical methods of regression analysis and exploratory factor analysis. Participants will experience hands-on SEM examples and have the ability to build their own Stata SEM models. This workshop is targeted at those researchers who wish to expand their understanding of this highly powerful technique. SEM has been utilised in many areas of research from psychology to medicine. 2022-10-28 09:00:00 UTC 2022-10-29 17:00:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Structural equation modellingSEMStatisticsSTATA
  • NVivo Essentials: Online

    3 - 4 November 2022

    NVivo Essentials: Online https://dresa.org.au/events/nvivo-essentials-online 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. 2022-11-03 09:30:00 UTC 2022-11-04 16:30:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchMixed MethodsText Analyticsmultimedia analysis NVivo
  • Questionnaire Design: Online

    10 - 11 November 2022

    Questionnaire Design: Online https://dresa.org.au/events/questionnaire-design-online 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. 2022-11-10 10:00:00 UTC 2022-11-11 16:00:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Questionnaire designsurvey designsurvey instrumentssurvey research
  • Focus Group Design and Moderation: Online

    17 - 18 November 2022

    Focus Group Design and Moderation: Online https://dresa.org.au/events/focus-group-design-and-moderation-online This master-class runs over two days and will provide participants with a comprehensive understanding of how to apply focus group methods for social research. The class will step through the theoretical basis for conducting focus groups, their value and limitations. It will detail how to translate your research questions into an effective discussion guide and how to put that guide into practice using group activities for face-to-face and online groups. The master-class will give participants the opportunity to observe or moderate a mock focus group online, will provide techniques to manage challenging group dynamics, and an overview on the next steps for data analysis. The workshop is relevant to anyone intending to conduct focus groups. This could include experienced researchers, Higher Degree Research students, government or not-for-profit professionals involved in community consultations, or private sector professionals involved in market research or evaluations. 2022-11-17 09:30:00 UTC 2022-11-18 16:30:00 UTC ACSPRI ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Focus groupsfocus group designfocus group moderationqualitative dataqualitative interviewing
  • Introduction to Computer-assisted Qualitative Data Analysis using NVivo: Online

    16 - 20 January 2023

    Introduction to Computer-assisted Qualitative Data Analysis using NVivo: Online https://dresa.org.au/events/introduction-to-computer-assisted-qualitative-data-analysis-using-nvivo-online 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. 2023-01-16 09:30:00 UTC 2023-01-20 16:30:00 UTC ACSPRI online online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all NVivoQualitative Researchqualitative dataData analysis
  • Introduction to Social Network Research and Analysis: Online

    16 - 20 January 2023

    Introduction to Social Network Research and Analysis: Online https://dresa.org.au/events/introduction-to-social-network-research-and-analysis-online 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. 2023-01-16 09:30:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all social network researchSocial network analysisMixed MethodsQualitative ResearchQualitative methodssocial media data
  • Introduction to Qualitative Research: Online

    16 - 20 January 2023

    Introduction to Qualitative Research: Online https://dresa.org.au/events/introduction-to-qualitative-research-online In this course you will learn about the foundational elements of qualitative research 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 short 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. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductoryqualitative data
  • Fundamentals of Statistics: Online

    16 - 20 January 2023

    Fundamentals of Statistics: Online https://dresa.org.au/events/fundamentals-of-statistics-online In this course you will obtain a solid foundation in basic statistical concepts and procedures to progress with some confidence into more advanced topics. This is an introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences, although these introductory techniques are also appropriate to the health sciences. Key examples from journal articles will be presented to illustrate the use and reporting of the statistical techniques covered in this unit. Our approach to learning will be largely non-mathematical, concentrating on concepts rather than mathematical theory. Participants familiar with the use of a statistical software package, but lacking statistical training should also start with this course. SOFTWARE The course will be using the free and open-source software jamovi. The software jamovi can be downloaded from https://www.jamovi.org.download.html While jamovi is built on top of the R statistical language, it has a look and feel very similar to IBM SPSS Statistics and in many ways is easier to use. Depending on student preferences, there will be an opportunity to use IBM SPSS Statistics v28. Instructions will be provided for both packages and students can choose either jamovi or IBM Statistics v28. 2023-01-16 10:00:00 UTC 2023-01-20 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Fundamentals of StatisticsStatistical MethodsJamoviquantitativeStatistics
  • Fundamentals of Program Evaluation in Public Policy: Online

    16 - 20 January 2023

    Fundamentals of Program Evaluation in Public Policy: Online https://dresa.org.au/events/fundamentals-of-program-evaluation-in-public-policy-online The course is structured to progress participants through the stages of an evaluation from conceptualisation through to negotiating the design, data collection, synthesis and reporting stages. You will be exposed to key theories and approaches to evaluation and then have the opportunity to apply these to real examples of evaluations. Examples from published studies and the grey literature, and the facilitator’s applied practice in evaluation will be drawn upon to illustrate and reinforce key concepts. This course is designed for public sector workers and academics who are interested in commissioning, managing or conducting evaluations of public policy or programs. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all evaluationpublic policypublic programspolicy evaluation
  • Fundamentals of Structural Equation Modelling: Online

    16 - 20 January 2023

    Fundamentals of Structural Equation Modelling: Online https://dresa.org.au/events/fundamentals-of-structural-equation-modelling-online Structural equation modelling—or structural equations with latent variables—is a very general statistical model and widely used method. For example, SEM is used in fundamental disciplines such as the social, economic and psychological sciences, the biological sciences, and applied disciplines such as education, health and marketing. SEM has become popular for several reasons, apart from its generality: (i) all SEM models can be represented visually, (ii) a standard notation helps researchers to communicate, and (iii) several software packages for estimating SEM models are readily available (e.g., AMOS, LISREL, Mplus, R). This course provides an overview of the fundamentals of SEM. As well as the statistical theory, an overview of the many applications and capabilities of SEM is given. The course is not particularly mathematical, but instead places emphasis on the fundamental concepts of SEM and how it is used by applied researchers. General aims of the course are for students to develop a readiness for using SEM software and to develop the requisite knowledge for applying SEM methods and models in an intelligent way. Note that participants may be invited to briefly present their own research on the last day of class. This exercise, along with the formal lecture material, might help participants to chart a direction forward in their study and application of SEM. 2023-01-16 10:00:00 UTC 2023-01-20 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all SEMStructural equation modellingStatistical Methodsquantitative
  • Multi-level Analysis using Mplus: Online

    16 - 20 January 2023

    Multi-level Analysis using Mplus: Online https://dresa.org.au/events/multi-level-analysis-using-mplus-online 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. 2023-01-16 10:00:00 UTC 2023-01-20 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all multilevel modellingSEMStatistical MethodsStatistics
  • Foundations of R for Research: Online

    19 - 20 January 2023

    Foundations of R for Research: Online https://dresa.org.au/events/foundations-of-r-for-research-online This course is a step by step interactive introduction for participants with no experience with R and RStudio. Notes will be provided and a set of exercises, covering a variety of data sets, will be run together during the lecture and also individually at the end of the day. The course content is particularly suited for those involved in research in the business, education, social and health sciences. Participants will first be introduced to the foundations of R such as libraries, matrix manipulation, objects, and data frames. Participants will use R Markdown in RStudio to generate reports, tables and graphics to Word, PDF and HTML files. Once the foundations have been covered a variety of data management skills will introduced (e.g. filtering data, merging data). The production of descriptive statistics tables and graphs will be covered so that participants can easily use RStudio to explore data and produce reports. The last session on each day will finish with a set of exercises for participants to run on their own and practice what they have learned that day. Please note that due to the short 2-day structure, there will not be any time set aside for analysing participant’s own data. 2023-01-19 09:30:00 UTC 2023-01-20 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R softwareIntroductoryR statistical software
  • Foundations of Qualitative Methodologies, Data Collection and Analysis: Online

    6 - 8 February 2023

    Foundations of Qualitative Methodologies, Data Collection and Analysis: Online https://dresa.org.au/events/foundations-of-qualitative-methodologies-data-collection-and-analysis-online This is an introductory course which deals with the major decisions a qualitative researchers needs to make initially: * framing * 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. 2023-02-06 09:30:00 UTC 2023-02-08 15:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductory
  • Social Media Network and Text Analysis : Online

    6 - 8 February 2023

    Social Media Network and Text Analysis : Online https://dresa.org.au/events/social-media-network-and-text-analysis-online This course introduces participants to approaches for collecting and analysing network and text data from social media, (Twitter, YouTube and Reddit) 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, voson.tcn). 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. 2023-02-06 09:30:00 UTC 2023-02-08 17:30:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all social network researchSocial network analysissocial media dataR statistical softwarequantitative
  • Applied Statistical Procedures: Online

    6 - 10 February 2023

    Applied Statistical Procedures: Online https://dresa.org.au/events/applied-statistical-procedures-online This is an intermediate, applied course covering a range of the most commonly used statistical procedures. Research design, Experimental, Quasi-Experimental and Non-Experimental, will be covered so students can select the best design and statistical procedure for a research project, and to clarify exactly what claims can be made in relation to findings. It aims to provide participants with an ability to understand, run and interpret procedures. This course will further enhance your ability to understand research-based literature. The level falls between ‘Fundamentals of Statistics’, and the more detailed single procedure based courses. This course will provide a good foundation for progression to the more detailed courses in (Multiple) Regression, Factor Analysis, SEM and Latent Variables using Mplus. On completing this course you should be able to read and understand literature where these procedures are reported, select the appropriate statistical procedure for research, run the procedure, and report the results from an informed base of understanding. The course is taught from an applied prospective, with questions encouraged. The statistical package employed will be SPSS. No prior knowledge of SPSS is required. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] workshop open_to_all StatisticsStatistical Methodsapplied statistics SPSS
  • Fundamentals of Multiple Regression: Online

    6 - 10 February 2023

    Fundamentals of Multiple Regression: Online https://dresa.org.au/events/fundamentals-of-multiple-regression-online 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. (See Course Program below.) 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) 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. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Multiple RegressionquantitativeStatisticsStatistical Methodsapplied statistics
  • Data Analysis in R: Online

    6 - 10 February 2023

    Data Analysis in R: Online https://dresa.org.au/events/data-analysis-in-r-online 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. This is a problem-based course for subject matter experts who want to use R to take their quantitative analysis to the next level. By the end of the week you will be able to better conduct descriptive analysis and regression in R, and will be able to create impressive looking data visualisations. R is open source and free. It is flexible, powerful and intuitive and it is excellent for data visualisation. As it is open source, R has thousands of developers in leading universities, corporate research labs and other institutions across the world. This means its capabilities tend to exceed competing software, with new packages added or updated daily. This is particularly the case for data visualisation, in which R tends to lead the pack. As there is no licence, you can take it with you wherever you go. No matter where you work, you don't have to change software packages when you change employers. Consequently, R has becoming increasingly popular for academic research, economics analysis and public policy development. This trend is only likely to continue. Being skilled in R will help build your personal capabilities and employment opportunities by making you a more flexible worker capable of undertaking analysis many other researchers and analysts cannot. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R studioR statisticsR statistical softwareIntroductory
  • Qualitative Research: Design, Analysis and Representation: Online

    6 - 10 February 2023

    Qualitative Research: Design, Analysis and Representation: Online https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-online 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. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Qualitative ResearchQualitative methodsqualitative data
  • Data Analysis Using Stata: Online

    6 - 10 February 2023

    Data Analysis Using Stata: Online https://dresa.org.au/events/data-analysis-using-stata-online 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. 2023-02-06 10:00:00 UTC 2023-02-10 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all STATAapplied statisticsStatistical MethodsStatistics
  • Advanced Statistical Analysis Using R: Online

    6 - 10 February 2023

    Advanced Statistical Analysis Using R: Online https://dresa.org.au/events/advanced-statistical-analysis-using-r-online 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. 2023-02-06 10:00:00 UTC 2023-02-10 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

    6 - 10 February 2023

    Advanced Structural Equation Modelling: Online https://dresa.org.au/events/https-www-acspri-org-au-summer-program-2023-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. 2023-02-06 10:00:00 UTC 2023-02-10 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all Structural equation modellingAdvancedSEMMplusAMOS

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