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Using multivariate statistics / Barbara G. Tabachnick, Linda S. Fidell.

By: Contributor(s): Material type: TextTextPublication details: Boston, [Mass.] ; London : Pearson, c2013.Edition: 6th ed., International edDescription: xxxi, 983 p. : ill. ; 24 cmISBN:
  • 9780205890811 (pbk.) :
  • 0205890814
  • 9780205849574
  • 0205849571
  • 9780205890811
Subject(s): DDC classification:
  • 519.535 TAB
LOC classification:
  • QA278 .T3 2013
Contents:
Chapter 1. Introduction--Chapter 2. A Guide to Statistical Techniques: Using the Book-- Chapter 3. Review of Univariate and Bivariate Statistics-- Chapter 4. Cleaning Up Your Act: Screening Data Prior to Analysis-- Chapter 5. Multiple Regression--Chapter 6. Analysis of Covariance-- Chapter 7. Multivariate Analysis of Variance and Covariance-- Chapter 8. Profile Analysis: The Multivariate Approach to Repeated Measures-- Chapter 9. Discriminant Analysis-- Chapter 10. Logistic Regression-- Chapter 11. Survival/Failure Analysis-- Chapter 12. Canonical Correlation--Chapter 13. Principal Components and Factor Analysis-- Chapter 14. Structural Equation Modeling-- Chapter 15. Multilevel Linear Modeling-- Chapter 16. Multiway Frequency Analysis-- 2. FULL TABLE OF CONTENTS:- Chapter 1. Introduction Multivariate Statistics-- Why? Some Useful Definitions Linear Combinations of Variables Number and Nature of Variables to Include Statistical Power Data Appropriate for Multivariate Statistics Organization of the Book --Chapter 2: A Guide to Statistical Techniques-- Using the Book Research Questions and Associated Techniques Some Further Comparisons A Decision Tree Technique Chapters Preliminary Check of the Data Chapter 3: Review of Univariate and Bivariate Statistics Hypothesis Testing Analysis of Variance Parameter Estimation Effect Size Bivariate Statistics: Correlation and Regression. Chi-Square Analysis Chapter 4: Cleaning Up Your Act: Screening Data Prior to Analysis Important Issues in Data Screening Complete Examples of Data Screening Chapter 5: Multiple Regression General Purpose and Description Kinds of Research Questions Limitations to Regression Analyses Fundamental Equations for Multiple Regression Major Types of Multiple Regression Some Important Issues. Complete Examples of Regression Analysis Comparison of Programs Chapter 6: Analysis of Covariance General Purpose and Description Kinds of Research Questions Limitations to Analysis of Covariance Fundamental Equations for Analysis of Covariance Some Important Issues Complete Example of Analysis of Covariance Comparison of Programs Chapter 7: Multivariate Analysis of Variance and Covariance General Purpose and Description Kinds of Research Questions Limitations to Multivariate Analysis of Variance and Covariance Fundamental Equations for Multivariate Analysis of Variance and Covariance Some Important Issues Complete Examples of Multivariate Analysis of Variance and Covariance Comparison of Programs Chapter 8: Profile Analysis: The Multivariate Approach to Repeated Measures General Purpose and Description Kinds of Research Questions Limitations to Profile Analysis Fundamental Equations for Profile Analysis Some Important Issues Complete Examples of Profile Analysis Comparison of Programs Chapter 9: Discriminant Analysis General Purpose and Description Kinds of Research Questions Limitations to Discriminant Analysis Fundamental Equations for Discriminant Analysis Types of Discriminant Analysis Some Important Issues Comparison of Programs Chapter 10: Logistic Regression General Purpose and Description Kinds of Research Questions Limitations to Logistic Regression Analysis Fundamental Equations for Logistic Regression Types of Logistic Regression Some Important Issues Complete Examples of Logistic Regression Comparison of Programs Chapter 11: Survival/Failure Analysis General Purpose and Description Kinds of Research Questions Limitations to Survival Analysis Fundamental Equations for Survival Analysis Types of Survival Analysis Some Important Issues Complete Example of Survival Analysis Comparison of Programs Chapter 12: Canonical Correlation General Purpose and Description Kinds of Research Questions Limitations Fundamental Equations for Canonical Correlation Some Important Issues Complete Example of Canonica
Summary: This title provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
Long Loan TUS: Midlands, Main Library Athlone Nursing Collection 519.535 TAB (Browse shelf(Opens below)) 1 Available 217396
Long Loan TUS: Midlands, Main Library Athlone Nursing Collection 519.535 TAB (Browse shelf(Opens below)) 1 Checked out 25/09/2020 217395
Short Loan TUS: Midlands, Main Library Athlone General Lending 519.535 TAB (Browse shelf(Opens below)) 1 Available 217394

Previous ed.: 2007.

Includes bibliographical references and index.

Chapter 1. Introduction--Chapter 2. A Guide to Statistical Techniques: Using the Book-- Chapter 3. Review of Univariate and Bivariate Statistics-- Chapter 4. Cleaning Up Your Act: Screening Data Prior to Analysis-- Chapter 5. Multiple Regression--Chapter 6. Analysis of Covariance-- Chapter 7. Multivariate Analysis of Variance and Covariance-- Chapter 8. Profile Analysis: The Multivariate Approach to Repeated Measures-- Chapter 9. Discriminant Analysis-- Chapter 10. Logistic Regression-- Chapter 11. Survival/Failure Analysis-- Chapter 12. Canonical Correlation--Chapter 13. Principal Components and Factor Analysis-- Chapter 14. Structural Equation Modeling-- Chapter 15. Multilevel Linear Modeling-- Chapter 16. Multiway Frequency Analysis-- 2. FULL TABLE OF CONTENTS:- Chapter 1. Introduction Multivariate Statistics-- Why? Some Useful Definitions Linear Combinations of Variables Number and Nature of Variables to Include Statistical Power Data Appropriate for Multivariate Statistics Organization of the Book --Chapter 2: A Guide to Statistical Techniques-- Using the Book Research Questions and Associated Techniques Some Further Comparisons A Decision Tree Technique Chapters Preliminary Check of the Data Chapter 3: Review of Univariate and Bivariate Statistics Hypothesis Testing Analysis of Variance Parameter Estimation Effect Size Bivariate Statistics: Correlation and Regression. Chi-Square Analysis Chapter 4: Cleaning Up Your Act: Screening Data Prior to Analysis Important Issues in Data Screening Complete Examples of Data Screening Chapter 5: Multiple Regression General Purpose and Description Kinds of Research Questions Limitations to Regression Analyses Fundamental Equations for Multiple Regression Major Types of Multiple Regression Some Important Issues. Complete Examples of Regression Analysis Comparison of Programs Chapter 6: Analysis of Covariance General Purpose and Description Kinds of Research Questions Limitations to Analysis of Covariance Fundamental Equations for Analysis of Covariance Some Important Issues Complete Example of Analysis of Covariance Comparison of Programs Chapter 7: Multivariate Analysis of Variance and Covariance General Purpose and Description Kinds of Research Questions Limitations to Multivariate Analysis of Variance and Covariance Fundamental Equations for Multivariate Analysis of Variance and Covariance Some Important Issues Complete Examples of Multivariate Analysis of Variance and Covariance Comparison of Programs Chapter 8: Profile Analysis: The Multivariate Approach to Repeated Measures General Purpose and Description Kinds of Research Questions Limitations to Profile Analysis Fundamental Equations for Profile Analysis Some Important Issues Complete Examples of Profile Analysis Comparison of Programs Chapter 9: Discriminant Analysis General Purpose and Description Kinds of Research Questions Limitations to Discriminant Analysis Fundamental Equations for Discriminant Analysis Types of Discriminant Analysis Some Important Issues Comparison of Programs Chapter 10: Logistic Regression General Purpose and Description Kinds of Research Questions Limitations to Logistic Regression Analysis Fundamental Equations for Logistic Regression Types of Logistic Regression Some Important Issues Complete Examples of Logistic Regression Comparison of Programs Chapter 11: Survival/Failure Analysis General Purpose and Description Kinds of Research Questions Limitations to Survival Analysis Fundamental Equations for Survival Analysis Types of Survival Analysis Some Important Issues Complete Example of Survival Analysis Comparison of Programs Chapter 12: Canonical Correlation General Purpose and Description Kinds of Research Questions Limitations Fundamental Equations for Canonical Correlation Some Important Issues Complete Example of Canonica

This title provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.

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