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
Organizer
- Lisa L Harlow (United States)
Abstract
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.Papers
| Paper | Title | Presenter(s) / Author(s) |
| 4F1 | Effect sizes and confidence intervals for multivariate analysis: how complete are published accounts of research in psychology? | Fiona Fidler (Australia) Jacenta Abbott (Australia) Geoff Cumming (Australia) Lisa L Harlow (United States) |
| 4F2 | A sampling of analyses and software use for cluster randomized trials over the last decade | Elly Korendijk (The Netherlands) Joop Hox (The Netherlands) |
| 4F3 | Applying idiographic research methods: two examples | Wayne Velicer (United States) |
| 4F4 | Exploratory factor analysis in Mplus, R and SPSS | Sigbert Klinke (Germany) Wolfgang Härdle (Germany) Andrija Mihoci (Germany) |