Latent variable models
This book is intended as an introduction to an exciting growth area in social science methodology--the use of multiple-latent-variable models. Psychologists and other social scientists have long been familiar with one subvariety of such modeling, factor analysis--more properly, exploratory factor an...
Permalink: | http://skupni.nsk.hr/Record/ffzg.KOHA-OAI-FFZG:218761/TOC |
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Glavni autor: | Loehlin, John C. (-) |
Vrsta građe: | Knjiga |
Jezik: | eng |
Impresum: |
Hillsdale, NJ :
Lawrence Erlbaum Associates,
1987.
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Predmet: |
Sadržaj:
- Path models in factor, path, and structural analysisFitting path modelsVarieties of path and structural models
- IVarieties of path and structural models
- IIModels with reciprocal influences and correlated errorsModels of events over timeModels comparing different groupsExploratory factor analysis
- I: Extracting the factorsExploring factor analysis
- II: Transforming the factors to simpler structureOrthogonal transformation
- quartimax and varimaxOblique transformationsFactor rotation programs
- SPSS, BMDP, and SASExtensions of latent variable analysisAppendicesA. Simple matrix operationsB. IPSOLC. Derivation of matrix version of path equationsD. Alpha and canonical factor extraction
- a worked exampleE. Examples of input for factor extraction by SPSS, BMDP, and SASF. Data matrix for Thurstone's box problemG. Table of chi square