Factor analysis spss handboek financiele

Chapter 7 - Factor Analysis - SPSS Factor analysis attempts to identify underlying variables, or factors, that explain the pattern of correlations within a set of observed variables. Factor analysis is often used in data reduction to identify a small number You are here: Home ANOVA SPSS One-Way ANOVA Tutorials SPSS One-Way ANOVA Tutorial SPSS One-Way ANOVA tests if the means on a metric variable for three or more populations are all equal. ANOVA is short for "Analysis of Variance.This is a family of statistical procedures for testing whether means for groups of cases and/or variables are equal. analysis, such as t-tests, ANOVA, chi-square, correlation analysis, and factor analysis (Chapters 7-10). Then we discuss theoretical and practical dimensions of regression analysis (Chapters 11-12) before continuing nto how to actually conduct regression analysisi , including interaction analysis (Chapters 13-17). Factor Analysis Researchers use factor analysis for two main purposes: Development of psychometric measures (Exploratory Factor Analysis - EFA) Validation of psychometric measures (Confirmatory Factor Analysis - CFA - cannot be done in SPSS, you have to use e.g., Amos or Mplus). This presentation will explain EFA in a The Factor procedure that is available in the SPSS Base module is essentially limited to exploratory factor analysis (EFA). The solution you see will be the result of optimizing numeric targets, given the choices that you make about extraction and rotation method, the number of factors to retain, etc. Suppose that you have a particular factor model in mind. I'm trying to perform a confirmatory factor analysis using SPSS 19. I have a 240-item test, and, according to the initial model and other authors, I must obtain 24 factors. But, when I perform the The variables should be quantitative at the interval or ratio level. Categorical data are not suitable for factor analysis. Data for which Pearson correlation coefficients can sensibly be ca