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The Essence of multivariate thinking: Basic themes and methods / Lisa L. Harlow

By: Material type: TextTextPublication details: New York : Routledge, Taylor & Francis Group, c2014Edition: SECOND EDITIONDescription: xxxvi, 396 pages : illustrations ; 26 cmISBN:
  • 9780415873727
Subject(s): LOC classification:
  • QA 278 .H349 2014
Contents:
PART I. OVERVIEW -- Chapter 1. Introduction and Multivariate Themes -- Chapter 2. Background Considerations -- PART II. INTERMEDIATE MULTIVARIATE METHODS WITH ONE CONTINUOUS OUTCOME -- Chapter 3. Multiple Regression -- Chapter 4. Analysis of Covariance -- PART III. MULTIVARIATE GROUP METHODS WITH CATEGORICAL VARIABLE(S) -- Chapter 5. Multivariate Analysis OF Variance -- Chapter 6. Discriminant Function Analysis -- Chapter 7. Logistic Regression -- PART IV. MULTIVARIATE MODELING METHODS -- Chapter 8. Multilevel Modeling -- Chapter 9: Principal Components and Factor Analysis -- PART V. STRUCTURAL EQUATION MODELING -- Chapter 10. Structural Equation Modeling Overview -- Chapter 11. Path Analysis -- Chapter 12. Confirmatory Factor Analysis -- Chapter 13. Latent Variable Modeling -- PART VI. SUMMARY -- Chapter 14. Integration of Multivariate Methods.
Summary: By focusing on underlying themes, this book helps readers better understand the connections between multivariate methods. For each method the author highlights: the similarities and differences between the methods, when they are used and the questions they address, the key assumptions and equations, and how to interpret the results. The concepts take center stage while formulas are kept to a minimum. Examples using the same data set give readers continuity so they can more easily apply the concepts. Each method is also accompanied by a worked out example, SPSS and SAS input, and an example of how to write up the results. EQS code is used for the book’s SEM applications.
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Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Graduate Studies General Circulation Gen. Ed - CEAS GC QA 278 .H349 2014 (Browse shelf(Opens below)) c.1 Available NULIB000013072

Includes bibliographical references and index.

PART I. OVERVIEW -- Chapter 1. Introduction and Multivariate Themes -- Chapter 2. Background Considerations -- PART II. INTERMEDIATE MULTIVARIATE METHODS WITH ONE CONTINUOUS OUTCOME -- Chapter 3. Multiple Regression -- Chapter 4. Analysis of Covariance -- PART III. MULTIVARIATE GROUP METHODS WITH CATEGORICAL VARIABLE(S) -- Chapter 5. Multivariate Analysis OF Variance -- Chapter 6. Discriminant Function Analysis -- Chapter 7. Logistic Regression -- PART IV. MULTIVARIATE MODELING METHODS -- Chapter 8. Multilevel Modeling -- Chapter 9: Principal Components and Factor Analysis -- PART V. STRUCTURAL EQUATION MODELING -- Chapter 10. Structural Equation Modeling Overview -- Chapter 11. Path Analysis -- Chapter 12. Confirmatory Factor Analysis -- Chapter 13. Latent Variable Modeling -- PART VI. SUMMARY -- Chapter 14. Integration of Multivariate Methods.

By focusing on underlying themes, this book helps readers better understand the connections between multivariate methods. For each method the author highlights: the similarities and differences between the methods, when they are used and the questions they address, the key assumptions and equations, and how to interpret the results. The concepts take center stage while formulas are kept to a minimum. Examples using the same data set give readers continuity so they can more easily apply the concepts. Each method is also accompanied by a worked out example, SPSS and SAS input, and an example of how to write up the results. EQS code is used for the book’s SEM applications.

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