Introduction to SPSS in Psychology

Introduction to SPSS in Psychology : For Version 16 and earlier

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Introduction to SPSS in Psychology 4/e, makes using SPSS for the analysis of data quick and simple. This student-friendly text offers the most comprehensive coverage of statistical techniques and how SPSS can handle and manipulate all kinds of data. The fourth edition provides new and extended coverage of what needs to be known about each statistical and data analysis procedure. The user is given a step-by-step guide through what kinds of data to enter and how; the SPSS steps needed to complete the analysis; and how to understand and write-up the results of the analysis. In no time, users will gain confidence that they understand a full range of statistical techniques and how to use them in practice. This book is accompanied by a CD containing datasets, worked examples and exercises to allow practice and revision of techniques covered in the book.
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Product details

  • Mixed media product | 416 pages
  • 188 x 246 x 28mm | 839.14g
  • Prentice Hall
  • Upper Saddle River, United States
  • English
  • 4th edition
  • 0132051648
  • 9780132051644
  • 735,048

Table of contents

Introduction Acknowledgements Key Differences between SPSS 16 and earlier versionsGuided tour of the book Guided tour of the accompanying CD Part 1 Introduction to SPSS1. Basics of SPSS data entry and statistical analysis Part 2 Descriptive statistics2. Describing variables: Tables and diagrams3. Describing variables numerically: Averages, variation and spread4. Shapes of distributions of scores5. Standard deviation: The standard unit of measurement in statistics6. Relationships between two or more variables: Diagrams and tables7. Correlation coefficients: Pearson's correlation and Spearman's rho8. Regression: Prediction with precision Part 3 Significance testing and basic inferential tests9. Standard error10. The t-test: Comparing two samples of correlated/related scores11. The t-test: Comparing two groups of unrelated/uncorrelated scores12. Confidence intervals13. Chi-square: Differences between samples of frequency data14. Ranking tests for two groups: Non-parametric statistics15. Ranking tests for three or more groups: Non-parametric statistics Part 4 Analysis of variance16. The variance ratio test: Using the F-ratio to compare two variances17. Analysis of variance (ANOVA): Introduction to the one-way unrelated or uncorrelated ANOVA18. Analysis of variance for correlated scores or repeated measures19. Two-way analysis of variance for unrelated/uncorrelated scores20. Multiple comparisons in ANOVA21. Two-way mixed analysis of variance (ANOVA) 22. Analysis of covariance (ANCOVA)23. Multivariate analysis of variance (MANOVA)24. Discriminant function analysis (for MANOVA) Part 5 More advanced correlational statistics25. Partial correlation26. Factor analysis27. Item reliability and inter-rater agreement28. Stepwise multiple regression29. Hierarchical multiple regression Part 6 Advanced qualitative or nominal techniques30. Log-linear analysis31. Multinomial logistic regression32. Binomial logistic regression Part 7 Data handling procedures33. Reading ASCII or text files into the Data Editor34. Missing values35. Recoding values36. Computing new variables with no values missing 37. Computing new variables with some values missing 38. Selecting cases39. Samples and populations: Generating a random sample40. Inputting a correlation matrix41. Checking accuracy of data input Appendix: Other statistics in SPSS GlossaryIndex
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Review quote

 A much greater emphasis on simplicity of presentation, explanation and clear step-by-step examples makes this new edition an essential student-friendly resource Chad Shepherd, Student, London South Bank University, UK  The text is student friendly and utilises real data sets, providing step-by-step illustrations and screenshots. This textbook makes light work of both the basic features and the more advanced elements of SPSS. Mary Low, St AndrewsUniversity
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