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      Handbook of Univariate and Multivariate Data Analysis with IBM SPSS
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      Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

      DOI link for Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

      Handbook of Univariate and Multivariate Data Analysis with IBM SPSS book

      Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

      DOI link for Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

      Handbook of Univariate and Multivariate Data Analysis with IBM SPSS book

      ByRobert Ho
      Edition 2nd Edition
      First Published 2013
      eBook Published 23 October 2013
      Pub. Location New York
      Imprint Chapman and Hall/CRC
      DOI https://doi.org/10.1201/b15605
      Pages 600
      eBook ISBN 9780429112294
      Subjects Behavioral Sciences, Mathematics & Statistics
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      Ho, R. (2013). Handbook of Univariate and Multivariate Data Analysis with IBM SPSS (2nd ed.). Chapman and Hall/CRC. https://doi.org/10.1201/b15605

      ABSTRACT

      Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. This second edition now covers more topics

      TABLE OF CONTENTS

      chapter 1|10 pages

      Inferential Statistics and Test Selection

      chapter 2|22 pages

      Introduction to SPSS

      chapter 3|18 pages

      Multiple Response

      chapter 4|12 pages

      t Test for Independent Groups

      chapter 5|10 pages

      Paired-Samples t Test

      chapter 6|10 pages

      One-Way Analysis of Variance, with Post Hoc Comparisons

      chapter 7|32 pages

      Factorial Analysis of Variance

      chapter 8|40 pages

      General Linear Model (GLM) Multivariate Analysis

      chapter 9|64 pages

      General Linear Model: Repeated Measures Analysis

      chapter 10|14 pages

      Correlation

      chapter 11|6 pages

      Linear Regression

      chapter 12|48 pages

      Factor Analysis

      chapter 13|6 pages

      Reliability

      chapter 14|42 pages

      Multiple Regression

      chapter 15|48 pages

      Multiple Discriminant Analysis

      chapter 16|12 pages

      Logistic Regression

      chapter 17|26 pages

      Canonical Correlation Analysis

      chapter 18|86 pages

      Structural Equation Modeling

      chapter 19|24 pages

      Nonparametric Tests

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