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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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Showing 14 upcoming event. Found 112 past event. View all results.

  • 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

  • Storytelling with Data Visualisation

    13 - 15 October 2025

    Storytelling with Data Visualisation 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 2025-10-13 10:00:00 UTC 2025-10-15 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

  • 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

  • Introduction to Deep Learning for Social Sciences

    22 - 24 September 2025

    Introduction to Deep Learning for Social Sciences https://dresa.org.au/events/introduction-to-deep-learning-for-social-sciences-4398e79d-d628-4802-a424-13a51186fab2 This masterclass is an introduction to deep learning applications in the social sciences. It offers a step-by-step guide to working with basic classification tasks, image recognition using convolutional neural networks (CNNs), and natural language processing (NLP) with recurrent neural networks (RNNs). The course utilizes Python, TensorFlow, and Google Colab but does not require prior coding experience. These foundational tools provide practical experience in applying essential deep learning techniques to the social sciences domain. This masterclass is part of the ACSPRI suite of courses in social data science and does not require prior knowledge of machine learning or Python programming. 2025-09-22 09:30:00 UTC 2025-09-24 16:00:00 UTC ACSPRI Online, Australia Online Australia ACSPRI info@acspri.org.au [] researchersHDR studentsPhD studentsSocial Scientists 12 workshop open_to_all Deep learning PythonCNNNLPRNNNeural networks

  • 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

  • Introduction to Qualitative Research: Online

    19 - 21 January 2026

    Introduction to Qualitative Research: Online 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

  • 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 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