Description

Book Synopsis

Christine P. Dancey is Emeritus Professor of Psychology at the University of East London.

John Reidy is Professor of Psychological Methods and Statistics and Head of Department for the Department of Psychology, Sociology and Politics at Sheffield Hallam University



Table of Contents
  • 1 Variables and research design
  • 2 Introduction to SPSS
  • 3 Descriptive statistics
  • 4 Probability, sampling and distributions
  • 5 Hypothesis testing and statistical significance
  • 6 Correlational analysis: Pearson’s r
  • 7 Analyses of differences between two conditions: the t-test
  • 8 Issues of significance
  • 9 Measures of association
  • 10 Analysis of differences between three or more conditions
  • 11 Analysis of variance with more than one IV
  • 12 Regression analysis
  • 13 Analysis of three or more groups partialling out effects of a covariate
  • 14 Introduction to factor analysis
  • 15 Introduction to multivariate analysis of variance (MANOVA)
  • 16 Non-parametric statistics
  • Answers to activities and SPSS exercises
  • Appendix 1: Table of z-scores and the proportion of the standard normal distribution falling above and below each score
  • Appendix 2: Table r to zr

Statistics without Maths for Psychology

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    Order before 4pm tomorrow for delivery by Tue 16 Jun 2026.

    A Paperback by John Reidy, John Reidy

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      View other formats and editions of Statistics without Maths for Psychology by John Reidy

      Publisher: Pearson Education
      Publication Date: 3/18/2020 12:00:00 AM
      ISBN13: 9781292276434, 978-1292276434
      ISBN10: 1292276436

      Description

      Book Synopsis

      Christine P. Dancey is Emeritus Professor of Psychology at the University of East London.

      John Reidy is Professor of Psychological Methods and Statistics and Head of Department for the Department of Psychology, Sociology and Politics at Sheffield Hallam University



      Table of Contents
      • 1 Variables and research design
      • 2 Introduction to SPSS
      • 3 Descriptive statistics
      • 4 Probability, sampling and distributions
      • 5 Hypothesis testing and statistical significance
      • 6 Correlational analysis: Pearson’s r
      • 7 Analyses of differences between two conditions: the t-test
      • 8 Issues of significance
      • 9 Measures of association
      • 10 Analysis of differences between three or more conditions
      • 11 Analysis of variance with more than one IV
      • 12 Regression analysis
      • 13 Analysis of three or more groups partialling out effects of a covariate
      • 14 Introduction to factor analysis
      • 15 Introduction to multivariate analysis of variance (MANOVA)
      • 16 Non-parametric statistics
      • Answers to activities and SPSS exercises
      • Appendix 1: Table of z-scores and the proportion of the standard normal distribution falling above and below each score
      • Appendix 2: Table r to zr

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