Full topic list
This is a session of Topic 4: Statistics education at the post secondary (tertiary) level

(Wednesday 14th, 11:00-13:00)

Sensible use of multivariate software



Multivariate statistical methods provide a way of analyzing a large amount of data with an overarching approach, allowing a realistic perspective on the nature of relationships among variables. Several multivariate methods and software are discussed to help teachers, researchers and policy makers effectively understand how a large body of information can be synthesized and integrated into a cohesive and meaningful quantitative summary. Topics and their related software issues include: evaluating the success of quantitative analyses with effect sizes and confidence intervals; analyzing cluster randomized trials; applying idiographic research methods; and factor analysis with Mplus, SPSS and the internationally available freeware, R.


PaperTitlePresenter(s) / Author(s)
4F1Effect sizes and confidence intervals for multivariate analysis: how complete are published accounts of research in psychology?Fiona Fidler (Australia)
Lisa L Harlow (United States)
Geoff Cumming (Australia)
Jacenta Abbott (Australia)
4F2A sampling of analyses and software use for cluster randomized trials over the last decadeElly Korendijk (The Netherlands)
Joop Hox (The Netherlands)
4F3Applying idiographic research methods: two examplesWayne Velicer (United States)
4F4Exploratory factor analysis in Mplus, R and SPSSSigbert Klinke (Germany)
Andrija Mihoci (Germany)
Wolfgang Härdle (Germany)