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Produktbild: Finch, H: Exploratory Factor Analysis

Finch, H: Exploratory Factor Analysis

Aus der Reihe Quantitative Applications in the Social Sciences

Fr. 73.90

inkl. gesetzl. MwSt., Versandkostenfrei

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.12.2019

Verlag

Sage Publications

Seitenzahl

144

Maße (L/B/H)

21.2/14.2/1.2 cm

Gewicht

181 g

Sprache

Englisch

ISBN

978-1-5443-3988-7

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

03.12.2019

Verlag

Sage Publications

Seitenzahl

144

Maße (L/B/H)

21.2/14.2/1.2 cm

Gewicht

181 g

Sprache

Englisch

ISBN

978-1-5443-3988-7

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  • Produktbild: Finch, H: Exploratory Factor Analysis
  • Chapter One: Introduction to Factor Analysis
    Latent and Observed Variables
    The Importance of Theory in Doing Factor Analysis
    Comparison of Exploratory and Confirmatory Factor Analysis
    EFA and Other Multivariate Data Reduction Techniques
    A Brief Word About Software
    Outline of the Book
    Chapter Two: Mathematical Underpinnings of Factor Analysis
    Correlation and Covariance Matrices
    The Common Factor Model
    Correspondence Between the Factor Model and the Covariance Matrix
    Eigenvalues
    Error Variance and Communalities
    Summary
    Chapter Three: Methods of Factor Extraction in Exploratory Factor Analysis
    Eigenvalues, Factor Loadings, and the Observed Correlation Matrix
    Maximum Likelihood
    Principal Axis Factoring
    Principal Components Analysis
    Principal Components Versus Factor Analysis
    Other Factor Extraction Methods
    Example
    Summary
    Chapter Four: Methods of Factor Rotation
    Simple Structure
    Orthogonal Versus Oblique Rotation Methods
    Common Orthogonal Rotations
    Common Oblique Rotations
    Target Factor Rotation
    Bifactor Rotation
    Example
    Deciding Which Rotation to Use
    Summary
    Appendix
    Chapter Five: Methods for Determining the Number of Factors to Retain in Exploratory Factor Analysis
    Scree Plot and Eigenvalue Greater Than 1 Rule
    Objective Methods Based on the Scree Plot
    Eigenvalues and the Proportion of Variance Explained
    Residual Correlation Matrix
    Chi-Square Goodness of Fit Test for Maximum Likelihood
    Parallel Analysis
    Minimum Average Partial
    Very Simple Structure
    Example
    Summary
    Chapter Six: Final Issues in Factor Analysis
    Proper Reporting Practices for Factor Analysis
    Factor Scores
    Power Analysis and A Priori Sample Size Determination
    Dealing With Missing Data
    Exploratory Structural Equation Modeling
    Multilevel EFA
    Summary