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The New Zealand Social Statistics Network (NZSSN) assists in the development of quantitative social science research in the academic, government, and private sectors.
The New Zealand Social Statistics Network (NZSSN) runs short courses in social science research methods. View our course schedule here.
Applied Statistical Procedures
This course by Dr Gordon Emmerson covers a range of the most commonly used statistical procedures from Chi-Square to Factor Analysis.
Video Editing for Visual Messaging
This certified five day course suits both new and self-taught users of Adobe Premiere Pro and After Effects.
Introduction to Structural Equation Modelling with Mplus
This course by Professor Gordon Cheung covers basic structural equation modelling (SEM) concepts and hands-on data analysis.
Multiple-Group Analysis and Measurement Invariance
This course by Professor Gordon Cheung covers measurement invariance concepts, testing methods, Mplus syntax and hands-on data analysis.
Mediation and Moderation in SEM
This course by Professor Gordon Cheung covers concepts behind mediation, moderation, and moderated-mediation with hands-on analysis and examples.
Multi-Level Analysis with SEM
This course by Professor Gordon Cheung presents analytical methods for multi-level studies with latent variables.
Latent Variable Growth Curve Modelling
This workshop by Professor Gordon Cheung presents Latent Variable Growth Curve Modelling (LGM) for analysing longitudinal studies with latent variables.
Mixed Methods in Social Research
This course by Dr Gordon Emmerson covers practical approaches to undertaking mixed method research that combines qualitative and quantitative methodologies.
VHIN Introduction to Health Research in the IDI
This course provides an orientation to the IDI and covers the opportunities and issues around its use for health research.
Introduction to SQL
This course by Daniel Fryer covers coding, queries and functions of SQL to extract and export datasets to R, SAS and Stata.
Introduction to R
This course by Dr Kevin Chang introduces the basics of R functions in data sets and optimal visual displays for presenting information.
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