This 2-day master-class provides a comprehensive introduction to the use of MAXQDA for qualitative analysis, focusing on harnessing its tools appropriately within methodological contexts. 

This master-class introduces NVivo, and takes researchers through the process of sorting and organising literature and notes from readings in a systematic way. 

The workshop aims to provide researchers with essential skills in using the NVivo software. The focus is on developing the essentials skills from NVivo through hands-on experience.

A step-by-step, interactive introduction to Python for participants with no experience with this software package. 

We will explore the key features and different types of mixed method design; critically analyse the benefits and challenges associated with the design and implementation of each design type; and the analysis and write-up of mixed method studies.

ACSPRI is pleased to host the 10th Biennial Social Science Methodology conference, in conjunction with the Australian Social Network Analysis Conference. The ACSPRI conference is multi-disciplinary and brings together researchers and methodologists from a range of environments and contexts. By running the ACSPRI and ASNAC in conjunction in 2026, all attendees will benefit from being able to share their methodology knowledge across domains. SNA related proposals will be reviewed by ASNAC representatives.

Details of the conference are available on the conference website

Conference schedule overview:

Tuesday 24 November

   1:00pm - Registration opens
   1:30pm - Workshops begin (workshops included in registration fee, 4 to choose from)
   3:30pm - Afternoon tea
   5:00pm - Workshops conclude

Wednesday 25 November

   8:00am - Registration continues
   9:00am - Welcome and Michele Barnes keynote
   10:30am - Morning tea
   11:00am - Concurrent sessions
   12:30pm - Lunch
   1:30pm - Short workshops (included in registration)
   3:00pm - Afternoon tea
   3:30pm - Concurrent sessions
   5:00pm - Welcome reception / Poster and short video session

Thursday 26 November

   8:30am - Registration continues
   9:00am - Tanisha Jowsey keynote
   10:30am - Morning tea
   11:00am - Concurrent sessions
   12:30pm - Lunch
   1:30pm - Concurrent sessions
   3:00pm - Conference close

ACSPRI is pleased to host the 10th Biennial Social Science Methodology conference, in conjunction with the Australian Social Network Analysis Conference. The ACSPRI conference is multi-disciplinary and brings together researchers and methodologists from a range of environments and contexts. By running the ACSPRI and ASNAC in conjunction in 2026, all attendees will benefit from being able to share their methodology knowledge across domains. SNA related proposals will be reviewed by ASNAC representatives.

Details of the conference are available on the conference website

Conference schedule overview:

Tuesday 24 November

   1:00pm - Registration opens
   1:30pm - Workshops begin (workshops included in registration fee, 4 to choose from)
   3:30pm - Afternoon tea
   5:00pm - Workshops conclude

Wednesday 25 November

   8:00am - Registration continues
   9:00am - Welcome and Michele Barnes keynote
   10:30am - Morning tea
   11:00am - Concurrent sessions
   12:30pm - Lunch
   1:30pm - Short workshops (included in registration)
   3:00pm - Afternoon tea
   3:30pm - Concurrent sessions
   5:00pm - Welcome reception / Poster and short video session

Thursday 26 November

   8:30am - Registration continues
   9:00am - Tanisha Jowsey keynote
   10:30am - Morning tea
   11:00am - Concurrent sessions
   12:30pm - Lunch
   1:30pm - Concurrent sessions
   3:00pm - Conference close

An introduction to supervised machine learning techniques for data science, providing an interactive step-by-step guide to running some of the standard statistical regression and classification machine learning models that every data scientist should know. 

This 5-day course aims to provide you with the understanding and experience to undertake a basic research project in the social or health sciences using Stata as the statistical tool.

A 3-day introductory course, designed for the individual with limited or no previous experience with qualitative techniques of data collection and analysis.

Whether you're looking to add AI to your research toolkit or just curious about what deep learning can do, this masterclass will give you the foundation you need to start experimenting with confidence.

A 5-day introductory unit in statistical methods with the emphasis on statistical techniques applicable to the social sciences, although these introductory techniques are also relevant to the health sciences.

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.

This 3-day 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.

A course for participants who have experience in qualitative or quantitative research and who are interested in applying QCA in their current or future studies.

A 5-day course designed for participants who have undertaken a qualitative study in their work or study and would like to build their theoretical knowledge and applied skill base in qualitative research.

Collecting survey data can be expensive and time-consuming; therefore it is appropriate to ensure that usable and reliable data are collected. This 2-day course is designed to prepare participants to build hard copy or internet surveys to meet a variety of needs.

Designed for mixed methods and qualitative researchers, this course covers data collection and research design, visualisation and basic analytic methods used in social network research.

This is an online, self paced introduction to core concepts, methods and tools in computational social science focusing on three themes: (1) networks as data; (2) text as data; (3) prediction and simulation.

This course offers hands-on training in R programming for quantitative political analysis, paired with practical and responsible techniques for using AI assistants to write, debug, and verify data analysis code. 

Multiple regression is a statistical workhorse of the social sciences. This three-day short course is designed for participants who want to strengthen their understanding of regression analysis and apply it confidently in academic research.

This course is designed as an advanced course in Structural Equation Modeling (SEM) for existing AMOS and/or Mplus users. 

This is a 3-day introductory unit for individuals with limited or no previous experience with qualitative traditions or techniques of inquiry.

The aim of this course is to provide students with an accessible introduction to the fundamentals of quantitative political science research.

An applied comprehensive understanding of focus group design and moderation, establishing the theory and methods of focus group research and offering techniques for managing challenging groups.

The aim of this course is to introduce and build capacity for Interpretivist Methods in Political Science.

This 5-day intermediate course will help you choose from a range of statistical procedures to analyse your data. It aims to provide participants with an ability to understand, run and interpret these procedures.   

A 5-day course designed for participants who have undertaken a qualitative study in their work or study and would like to build their theoretical knowledge and applied skill base in qualitative research.

The focus of this course is on learning advanced statistical methods using R.

This course covers the foundations of designing, implementing and analysing basic online survey experiments in political science. 

The aim of this course is to introduce students to the foundations of Critical Discourse Analysis and specifically the Fairclough method. 

A practical introduction to the network perspective and social network analysis (SNA), with a focus on applications in political analysis.

This course introduces core qualitative methods for political science, teaching how researchers collect and interpret unstructured evidence through immersive and interpretive approaches. It is structured around 3 types of qualitative data and the methods for collecting them: oral history, political ethnography and qualitative archival analysis.