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Applied multivariate research : design and interpretation / Lawrence S. Meyers, Glenn Gamst, A.J. Guarino.

By: Meyers, Lawrence S.
Contributor(s): Gamst, Glenn | Guarino, A. J.
Material type: materialTypeLabelBookCall no.: STAT HA 2013 625371Publication: Los Angeles : SAGE, c2013Edition: 2nd ed.Description: xx, 1078 p. : ill.ISBN: 9781412988117 (cloth); 141298811X (cloth).Subject(s): Multivariate analysis | Social sciences -- Statistical methods
Contents:
PART I THE BASICS OF MULTIVARIATE DESIGN -- Chapter 1 An Introduction to Multivariate Design -- Chapter 2 Some Fundamental Research Design Concepts -- Chapter 3A Data Screening -- Chapter 3B Data Screening Using IBM SPSS -- PART II COMPARISONS OF MEANS -- Chapter 4A Univariate Comparison of Means -- Chapter 4B Univariate Comparison of Means Using IBM SPSS -- Chapter 5A Multivariate Analysis of Variance -- Chapter 5B Multivariate Analysis of Variance Using IBM SPSS -- PART III PREDICTING THE VALUE OF A SINGLE VARIABLE -- Chapter 6A Bivariate Correlation and Simple Linear Regression -- Chapter 6B Bivariate Correlation and Simple Linear Regression Using IBM SPSS -- Chapter 7A Multiple Regression: Statistical Methods -- Chapter 7B Multiple Regression: Statistical Methods Using IBM SPSS -- Chapter 8A Multiple Regression: Beyond Statistical Regression -- Chapter 8B Multiple Regression: Beyond Statistical Regression Using IBM SPSS -- Chapter 9A Multilevel Modeling -- Chapter 9B Multilevel Modeling Using IBM SPSS -- Chapter 10A Binary and Multinomial Logistic Regression and ROC Analysis -- Chapter 10B Binary and Multinomial Logistic Regression and ROC Analysis Using IBM SPSS -- PART IV ANALYSIS OF STRUCTURE -- Chapter 11A Discriminant Function Analysis -- Chapter 11B Discriminant Function Analysis Using IBM SPSS -- Chapter 12A Principal Components Analysis and Exploratory Factor Analysis -- Chapter 12B Principal Components Analysis and Exploratory Factor Analysis Using IBM SPSS -- Chapter 13A Canonical Correlation Analysis -- Chapter 13B Canonical Correlation Analysis Using IBM SPSS -- Chapter 14A Multidimensional Scaling -- Chapter 14B Multidimensional Scaling Using IBM SPSS -- Chapter 15A Cluster Analysis -- Chapter 15B Cluster Analysis Using IBM SPSS -- PART V FITTING MODELS TO DATA -- Chapter 16A Confirmatory Factor Analysis -- Chapter 16B Confirmatory Factor Analysis Using Amos -- Chapter 17A Path Analysis: Multiple Regression -- Chapter 17B Path Analysis: Multiple Regression Using IBM SPSS -- Chapter 18A Path Analysis: Structural Modeling -- Chapter 18B Path Analysis: Structural Modeling Using Amos -- Chapter 19A Structural Equation Modeling -- Chapter 19B Structural Equation Modeling Using Amos -- Chapter 20A Model Invariance: Applying a Model to Different Groups -- Chapter 20B Assessing Model Invariance Using Amos.
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Includes bibliographical references (p. 1032-1055) and index.

PART I THE BASICS OF MULTIVARIATE DESIGN -- Chapter 1 An Introduction to Multivariate Design -- Chapter 2 Some Fundamental Research Design Concepts -- Chapter 3A Data Screening -- Chapter 3B Data Screening Using IBM SPSS -- PART II COMPARISONS OF MEANS -- Chapter 4A Univariate Comparison of Means -- Chapter 4B Univariate Comparison of Means Using IBM SPSS -- Chapter 5A Multivariate Analysis of Variance -- Chapter 5B Multivariate Analysis of Variance Using IBM SPSS -- PART III PREDICTING THE VALUE OF A SINGLE VARIABLE -- Chapter 6A Bivariate Correlation and Simple Linear Regression -- Chapter 6B Bivariate Correlation and Simple Linear Regression Using IBM SPSS -- Chapter 7A Multiple Regression: Statistical Methods -- Chapter 7B Multiple Regression: Statistical Methods Using IBM SPSS -- Chapter 8A Multiple Regression: Beyond Statistical Regression -- Chapter 8B Multiple Regression: Beyond Statistical Regression Using IBM SPSS -- Chapter 9A Multilevel Modeling -- Chapter 9B Multilevel Modeling Using IBM SPSS -- Chapter 10A Binary and Multinomial Logistic Regression and ROC Analysis -- Chapter 10B Binary and Multinomial Logistic Regression and ROC Analysis Using IBM SPSS -- PART IV ANALYSIS OF STRUCTURE -- Chapter 11A Discriminant Function Analysis -- Chapter 11B Discriminant Function Analysis Using IBM SPSS -- Chapter 12A Principal Components Analysis and Exploratory Factor Analysis -- Chapter 12B Principal Components Analysis and Exploratory Factor Analysis Using IBM SPSS -- Chapter 13A Canonical Correlation Analysis -- Chapter 13B Canonical Correlation Analysis Using IBM SPSS -- Chapter 14A Multidimensional Scaling -- Chapter 14B Multidimensional Scaling Using IBM SPSS -- Chapter 15A Cluster Analysis -- Chapter 15B Cluster Analysis Using IBM SPSS -- PART V FITTING MODELS TO DATA -- Chapter 16A Confirmatory Factor Analysis -- Chapter 16B Confirmatory Factor Analysis Using Amos -- Chapter 17A Path Analysis: Multiple Regression -- Chapter 17B Path Analysis: Multiple Regression Using IBM SPSS -- Chapter 18A Path Analysis: Structural Modeling -- Chapter 18B Path Analysis: Structural Modeling Using Amos -- Chapter 19A Structural Equation Modeling -- Chapter 19B Structural Equation Modeling Using Amos -- Chapter 20A Model Invariance: Applying a Model to Different Groups -- Chapter 20B Assessing Model Invariance Using Amos.

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