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ACSPRI

Contact: Gordana Bacic

The Australian Consortium for Social and Political Research Incorporated (ACSPRI) is a not-for-profit organisation, broadly aimed at the promotion and enhancement of social science research and methods in Australia.

Our consortium of institutional members, include universities, public sector research institutions and not-for-profits. We work to provide benefits and services to our members including: education and professional development in Social Science Research Methods and Research Technology courses.

ACSPRI https://dresa.org.au/content_providers/acspri The Australian Consortium for Social and Political Research Incorporated (ACSPRI) is a not-for-profit organisation, broadly aimed at the promotion and enhancement of social science research and methods in Australia. Our consortium of institutional members, include universities, public sector research institutions and not-for-profits. We work to provide benefits and services to our members including: education and professional development in Social Science Research Methods and Research Technology courses. /system/content_providers/images/000/000/021/original/ACSPRI_Logo_Horizonal.jpg?1661921514
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  • Introduction to Qualitative Research: Online (3 days)

    19 - 21 January 2026

    Introduction to Qualitative Research: Online (3 days) https://dresa.org.au/events/introduction-to-qualitative-research-online-10ec66b3-8ffe-42a8-90ca-48c02cbac9ee 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. 2026-01-19 10:00:00 UTC 2026-01-21 16:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au [] PhD studentsresearcherresearch students 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductoryqualitative data

  • Introduction to Social Network Research and Analysis: Online

    2 - 6 February 2026

    Introduction to Social Network Research and Analysis: Online https://dresa.org.au/events/introduction-to-social-network-research-and-analysis-online-19dc2bb5-fedf-48b6-8706-db32a01f3b75 This course covers data collection and research design, visualisation and basic analytic methods used in social network research. Designed for mixed methods and qualitative researchers, 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. 2026-02-02 09:30:00 UTC 2026-02-06 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

  • Data Analysis in R: Online

    2 - 10 February 2026

    Data Analysis in R: Online https://dresa.org.au/events/data-analysis-in-r-online-36a29fe2-8fd2-4d26-b560-7f218be14530 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. 2026-02-02 10:00:00 UTC 2026-02-10 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

  • NVivo Essentials: Online

    25 - 27 November 2025

    NVivo Essentials: Online https://dresa.org.au/events/nvivo-essentials-online-41d0542e-aae3-4d1e-abec-6e04374432ef 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. 2025-11-25 09:30:00 UTC 2025-11-27 13:30:00 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

  • Fundamentals of Statistics: Online

    19 - 23 January 2026

    Fundamentals of Statistics: Online https://dresa.org.au/events/fundamentals-of-statistics-online-39357bbf-86c2-4101-ae39-9ec3b1938694 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. 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. The course will be using the free and open-source software jamovi. there will be an opportunity to use IBM SPSS Statistics as an alternative. Instructions will be provided for both packages and students can choose either jamovi or IBM SPSS Statistics. 2026-01-19 10:00:00 UTC 2026-01-23 13:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all StatisticsFundamentals of StatisticsJamovi SPSSStatistical Methodsapplied statistics

  • Introduction to Computer-assisted Qualitative Data Analysis using Nvivo: Online

    19 - 23 January 2026

    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-57f06b45-a4bb-4efb-899c-c0a4263a531b 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. 2026-01-19 10:00:00 UTC 2026-01-23 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au +61 3 8376 6496 [] researchersPhD studentsHDR students 12 workshop open_to_all Qualitative Researchqualitative interviewingQualitative methodsQualitative PhDIntroductory NVivo

  • The Art of Survey Writing

    16 - 17 October 2025

    The Art of Survey Writing https://dresa.org.au/events/the-art-of-survey-writing-b0058dc5-7e80-436d-b519-be72eca89402 We are in the middle of a data revolution. This has impacted the academic, private, not for profit and public sectors. Data collection is a significant part of this, and surveys are an important tool for gathering information on how individuals think and behave. 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 pollster, campaign consultant, survey researcher and data scientist, this masterclass will focus on what makes good (and bad) survey design. 2025-10-16 10:00:00 UTC 2025-10-17 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] All researchersPhD studentsHDR students 12 workshop open_to_all survey designsurvey research

  • Writing Qualitatively

    23 - 24 October 2025

    Writing Qualitatively https://dresa.org.au/events/writing-qualitatively This is a practical masterclass is aimed at researchers with some qualitative writing experience who are looking to extend their knowledge and learn some practical tips for managing the process more efficiently. This masterclass is designed for researchers with some experience in qualitative writing who are looking to take their skills to the next level. Whether you're grappling with how to clearly represent your participants’ voices, unsure how to structure your findings, or simply want to write more efficiently and with greater impact, this workshop offers a hands-on, supportive environment to refine your practice. 2025-10-23 09:30:00 UTC 2025-10-24 13:30:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] PhD studentsResearchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 12 workshop open_to_all Qualitative ResearchQualitative methodsQualitative Writing

  • Introduction to R: Online

    7 - 14 November 2025

    Introduction to R: Online https://dresa.org.au/events/introduction-to-r-online One of the key skills in data science is making effective use of software for manipulating data and generating results. R is an established software environment used in the world of data science. In this course, you will be introduced to basic data wrangling, descriptive statistics, visualisation and reporting of results. Key R data science libraries such as dplyr and ggplot will be introduced. 2025-11-07 09:30:00 UTC 2025-11-14 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R softwareIntroductoryR statistical software

  • Qualitative Research: Design, Analysis and Representation: Online

    9 - 13 February 2026

    Qualitative Research: Design, Analysis and Representation: Online https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-online-bc11d5ee-e83f-47dd-97ad-9ba7d906959e 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. 2026-02-09 10:00:00 UTC 2026-02-13 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 Qualitative Comparative Analysis (QCA): Online

    2 - 6 February 2026

    Applied Qualitative Comparative Analysis (QCA): Online https://dresa.org.au/events/applied-qualitative-comparative-analysis-qca-online Qualitative Comparative Analysis (QCA) provides a bridge between case-oriented and variable-oriented research methods. It is rapidly making inroads in the social sciences. This course is designed for participants who have experience in qualitative or quantitative research and who are interested in applying qualitative comparative analysis (QCA) in their current or future studies. We will go through the 10 steps of a full QCA project: 1. Explaining the theoretical motivations for choosing QCA for your project 2. Selection of outcomes and conditions 3. Explaining the limitations that come with the number of conditions chosen 4. Calibration of data 5. Develop a raw data matrix 6. Analysis of necessary conditions 7. Analysis of sufficient conditions: truth table 8. Analysis of sufficient conditions: choice of solution term 9. Presentation of results 10. Testing robustness and interpretation of results 2026-02-02 15:00:00 UTC 2026-02-06 21:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au [] researchersPhD studentsHDR students 12 workshop open_to_all social data scienceStatistical MethodsQCAQualitative methodsQualitative Comparative Analysisresearch design

  • Advanced Structural Equation Modelling: Online

    2 - 6 February 2026

    Advanced Structural Equation Modelling: Online https://dresa.org.au/events/advanced-structural-equation-modelling-online-4716d162-ee1f-40be-8201-989cf99635b2 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. 2026-02-02 10:00:00 UTC 2026-02-06 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au +61 3 8376 6496 [] [] 12 workshop open_to_all Structural equation modellingAdvancedSEMMplusAMOS

  • An Introduction to Mixed Method Research Design

    2 - 3 February 2026

    Parkville, Australia

    An Introduction to Mixed Method Research Design https://dresa.org.au/events/an-introduction-to-mixed-method-research-design-59eee66c-718c-4166-83ea-2c2e2e1bebb8 In this Master-class we will examine the key features of mixed methods research designs. We will explore the different types of mixed method design. Critically analyse the benefits and challenges associated with the design and implementation of each design type. Examine approaches to integrating qualitative and quantitative data effectively and and look at the write-up of mixed method studies. 2026-02-02 09:00:00 UTC 2026-02-03 17:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3010 ACSPRI info@acspri.org.au +61 3 8376 6496 [] [] 12 workshop open_to_all Mixed Methodssocial data sciencesocial science methodsStatistical Methods

  • Focus Group Design and Moderation

    2 - 3 February 2026

    Parkville, Australia

    Focus Group Design and Moderation https://dresa.org.au/events/focus-group-design-and-moderation 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. 2026-02-02 09:00:00 UTC 2026-02-03 17:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3010 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Focus groupsfocus group designfocus group moderationqualitative dataqualitative interviewing

  • Questionnaire Design

    2 - 3 February 2026

    Parkville, Australia

    Questionnaire Design https://dresa.org.au/events/questionnaire-design 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. 2026-02-02 09:00:00 UTC 2026-02-03 17:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3010 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 12 workshop open_to_all Questionnaire designsurvey designsurvey instrumentssurvey research

  • Introduction to Qualitative Research (5 days)

    2 - 6 February 2026

    Parkville, Australia

    Introduction to Qualitative Research (5 days) https://dresa.org.au/events/introduction-to-qualitative-research-5-days 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. 2026-02-02 09:00:00 UTC 2026-02-06 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3010 ACSPRI info@acspri.org.au [] researcherHDR students 12 workshop open_to_all Qualitative ResearchQualitative methodsIntroductoryqualitative data

  • Qualitative Research: Design, Analysis and Representation

    2 - 6 February 2026

    Parkville, Australia

    Qualitative Research: Design, Analysis and Representation https://dresa.org.au/events/qualitative-research-design-analysis-and-representation-341b7b22-5b7a-4759-a7a2-8e12673ec101 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. 2026-02-02 09:00:00 UTC 2026-02-06 15:00:00 UTC ACSPRI The University of Melbourne, Parkville, Australia The University of Melbourne Parkville Australia 3010 ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] [] 20 [] open_to_all Qualitative ResearchQualitative methodsqualitative data

  • Storytelling with Data Visualisation: Online

    9 - 11 September 2026

    Storytelling with Data Visualisation: Online https://dresa.org.au/events/storytelling-with-data-visualisation-97d43780-866d-49e1-a821-fd9b15d34004 Studies have shown that readers will only spend 3 to 8 seconds looking at each plot in a report before deciding whether to invest more time examining that plot or to move on to the next part of the report (Storytelling with Data, Cole). This requires careful thought about the visualization design, and clever manipulation of the visualization software (such as the ggplot function in R). Additional thought is required if the data is not just shown in a static report or webpage, but is shown within a dashboard environment (such as using Shiny in R). This workshop has two objectives – to teach the design principles required to make plots that really stand out for the reader, and to teach the practical skills required to create these plots within R 2026-09-09 10:00:00 UTC 2026-09-11 17:00:00 UTC ACSPRI online online ACSPRI info@acspri.org.au [] Data scientistsPhD studentsResearchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 12 workshop open_to_all data visualisationdata storytellingR softwareData analysis

  • Introduction to Computer-assisted Qualitative Data Analysis using Nvivo: Online

    19 - 23 January 2026

    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-30224190-05df-4bb0-8b13-2c5473a7cc57 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. 2026-01-19 10:00:00 UTC 2026-01-23 16:30:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au +61 3 8376 6496 [] researchersPhD studentsHDR students 12 workshop open_to_all Qualitative Researchqualitative interviewingQualitative methodsQualitative PhDIntroductory NVivo

  • Data Analysis Using Stata: Online

    19 - 23 January 2026

    Data Analysis Using Stata: Online https://dresa.org.au/events/data-analysis-using-stata-online-c5b79f5e-9e03-4a61-8c34-f553de3b9658 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. 2026-01-19 09:30:00 UTC 2026-01-23 17:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R.PhD students 12 workshop open_to_all STATAapplied statisticsStatistical MethodsStatistics

  • Fundamentals of Program Evaluation in Public Policy: Online

    19 - 21 January 2026

    Fundamentals of Program Evaluation in Public Policy: Online https://dresa.org.au/events/fundamentals-of-program-evaluation-in-public-policy-online-20127f7d-7c7c-4ac3-ba6b-90d7f487e17a 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. 2026-01-19 10:00:00 UTC 2026-01-21 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

  • Applied Statistical Procedures: Online

    9 - 13 February 2026

    Applied Statistical Procedures: Online https://dresa.org.au/events/applied-statistical-procedures-online-de54f3ee-0138-4596-85c4-2f21925b6f34 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. 2026-02-09 10:00:00 UTC 2026-02-13 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

  • Advanced Statistical Analysis Using R: Online

    9 - 13 February 2026

    Advanced Statistical Analysis Using R: Online https://dresa.org.au/events/advanced-statistical-analysis-using-r-online-0e0552ad-fec3-4426-bd56-1ee0376b72db The focus of this course is on learning advanced statistical methods using R. This course is intended for those who have basic knowledge and experience with R, and would like to further advance or develop their experiences with advanced statistical methods in R. The course would also be suitable for people familiar with these statistical methods in other packages, but with no prior experience using R. 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. 2026-02-09 10:00:00 UTC 2026-02-13 17:00:00 UTC ACSPRI Online Online ACSPRI info@acspri.org.au [] [] 12 workshop open_to_all R statisticsStatistical MethodsStatisticsR statistical software

  • Introduction to Large Language Models (LLMs) in the Social Sciences: Online

    9 - 11 February 2026

    Introduction to Large Language Models (LLMs) in the Social Sciences: Online https://dresa.org.au/events/introduction-to-large-language-models-llms-in-the-social-sciences-online Are you working with text and looking for new ways to tackle language-related tasks? Large Language Models (LLMs) might be just the tool you need! This master-class introduces LLMs in the context of social sciences, offering hands-on, practical experience - no coding expertise or advanced maths skills required. You'll explore the basics of Natural Language Processing (NLP) and LLMs, diving into real-world applications like text classification, topic modeling, and text generation. We’ll be using Python and Google Colab, but don’t worry if you have no prior programming experience—we’ve got you covered every step of the way. Our focus is on equipping you with practical skills that you can directly apply to your research. Need to analyze a large body of diverse literature, bulk social media discussions, interview responses, or news articles? Want to detect emerging trends, automate qualitative coding in interviews, or generate synthetic survey responses to test hypotheses? LLMs are revolutionizing how we understand and process text-based data in the social sciences—and this is just the beginning. Don’t miss out! 2026-02-09 09:30:00 UTC 2026-02-11 16:00:00 UTC ACSPRI online, Australia online Australia ACSPRI info@acspri.org.au +61 3 8376 6496 [] [] 12 workshop open_to_all LLMs, Large Language Models, Natural Language Processing, NLPs, AI

  • Applied Longitudinal Data Analysis: Online

    19 - 23 January 2026

    Applied Longitudinal Data Analysis: Online https://dresa.org.au/events/applied-longitudinal-data-analysis-online-35b23626-8dc9-41c7-bde0-a684ce88763c 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. 2026-01-19 10:00:00 UTC 2026-01-23 17:00:00 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

  • Structural Equation Modelling (SEM) Fundamentals: Online

    19 - 21 January 2026

    Structural Equation Modelling (SEM) Fundamentals: Online https://dresa.org.au/events/structural-equation-modelling-sem-fundamentals-online This course is designed to cover the fundamental principles of Structural Equation Modeling (SEM) and introduce the AMOS and/or Mplus software packages to estimate structural equation models. Structural Equation Modeling (SEM) is used widely by researchers in a diverse array of fields to find and test complex relationships amongst observed variables that measure latent (unobserved) variables and amongst the latent variables themselves. SEM subsumes other analytical techniques (such as factor analysis, regression analysis and path analysis) into one omnibus approach to modeling relationships amongst observed and latent variables. This course is designed to introduce the basic concepts of SEM and to introduce the use of the AMOS and/or Mplus software packages to estimate SEM models. Detailed notes with worked examples and references will be provided as a basis for both the lecture and hands-on computing aspect of the course. The target audience for this course is post graduate students, academic staff and other researchers needing to learn the basic concepts of SEM and how to run structural equation models using the AMOS and/or Mplus software packages. The instructor will offer individual consultation sessions for 15 - 20 minutes for each participant by appointment. 2026-01-19 10:00:00 UTC 2026-01-21 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au ph: +61 3 8376 6496 [] Researchers and research students, or anyone who wants to learn intermediate statistical concepts to apply in R. 12 workshop open_to_all Structural equation modellingStatistical Methodsapplied statisticsquantitative