How to do Principal Components Analysis PCA and Exploratory Factor Analysis EFA in SPSS

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  • Опубликовано: 11 сен 2024
  • Factor analysis, constructs, components, factors, reduction, method, technique, mathematical, items, questions, questionnaire, survey, Likert scale, group, rotation, oblique, orthogonal, varimax, promax, Explore, exploratory, scale, instrument, assessment, loading, measure, descriptive, univariate, correlation matrix, coefficients, determinant, KMO Bartlett’s test, unrotated, scree plot, extract, eigenvalue, rotation, variables, scores, variance, loading factor, statistics, quantitative data, significance P-value, principal axis factoring, Exploratory factor analysis, confirmatory factor analysis, PCA, EFA, CFA, iterations convergence, methods, direct oblimin, quatrimax, varimax, delta, size, multicollinearity, communalities, analyze, dimension reduction, relationship, regression, Structure matrix, pattern matrix, component matrix, component correlation matrix

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