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.

A 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.

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.

A one-day, hands-on, advanced qualitative interviewing workshop where you will learn how to acquire high-quality, multi-dimensional data that can meaningfully impact evidence-informed decisions.

A practical, hands-on approach to the key writing challenges qualitative PhD researchers face at every stage of the journey, from crafting a coherent methodology chapter to writing up qualitative data in a way that does justice to your findings. 

This master-class has two objectives – to teach the design principles required to make plots that really have an impact on the reader, and to teach the practical skills required to create these plots within the R software package.

Designed for the applied users of R, this master-class will show you how to access spatial data from a number of sources, match this with geographic shape files, analyse spatial patterns, link these data to information from surveys, and create interactive maps to highlight important findings.

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.

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. 

Guidance for early career researchers on how to use the latest constructionist approaches, which treat our data as instances of complex behaviours and hence complementary to quantitative research.

From conversations to focus groups, this two-day intensive will help professionals, researchers and evaluators create careful and impactful interviews.

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 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

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