Overview

Introduction to Statistics in Psychology, 6th edition is a comprehensive, modern student guide to understanding and using statistics in psychological research. This edition has been significantly revised to incorporate the essential SPSS steps required for carrying out statistical analysis.

Full Product Details

Author:   Dennis Howitt ,  Duncan Cramer
Publisher:   Pearson Education Limited
Imprint:   Pearson Education Limited
Edition:   6th New edition
Dimensions:   Width: 19.80cm , Height: 2.70cm , Length: 25.80cm
Weight:   1.354kg
ISBN:  

9781292000749

ISBN 10:   1292000740
Pages:   744
Publication Date:   17 December 2013
Audience:   College/higher education ,  Professional and scholarly ,  Undergraduate ,  Professional & Vocational
Replaced By:   9781292134215
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1. Why statistics?Part 1: Descriptive statistics 2. Some basics: Variability and measurement3. Describing variables: Tables and diagrams 4. Describing variables numerically: Averages, variation and spread 5. Shapes of Distributions of Scores6. Standard deviation and z-scores: The standard unit of measurement in statistics7. Relationships between two or more variables: Diagrams and tables8. Correlation coefficients: Pearson correlation and Spearman's rho9. Regression: Prediction with precisionPart 2: Significance testing 10. Samples and populations: Generalising and inferring11. Statistical significance for the correlation coefficient: A practical introduction to statistical inference12. Standard error: The standard deviation of the means of samples13. The t-test: Comparing two samples of correlated/related scores14. The t-test: Comparing two samples of unrelated/uncorrelated scores15. Chi-square: Differences between samples of frequency data16. Probability17. Reporting significance levels succinctly18. One-tailed versus two-tailed significance testing19. Ranking tests: Nonparametric statisticsPart 3: Introduction to analysis of variance 20. The variance ratio test: The F-ratio to compare two variances21. Analysis of variance (ANOVA): Introduction to the one-way unrelated or uncorrelated ANOVA22. Analysis of variance for correlated scores or repeated measures23. Two-way analysis of variance for unrelated/uncorrelated scores: Two studies for the price of one? 24. Multiple comparisons in ANOVA: Just where do the differences lie?25. Mixed-design ANOVA: Related and unrelated variables together26. Analysis of covariance (ANCOVA): Controlling for additional variables27. Multivariate Analysis of Variance (MANOVA)28. Discriminant (Function) analysis especially in MANOVA29. Statistics and the analysis of experimentsPart 4: More advanced correlational statistics 30. Partial correlation: Spurious correlation, third or confounding variables, suppressor variables 31. Factor analysis: Simplifying complex data32. Multiple regression and multiple correlation33. Path analysis34. The analysis of a questionnaire/survey projectPart 5: Assorted advanced techniques 35. The size of effects in statistical analysis: Do my findings matter?36. Meta-analysis: Combining and exploring statistical findings from previous research37. Reliability in scales and measurement: Consistency and agreement38. Confidence intervals39. The influence of moderator variables on relationships between two variables40. Statistical power analysis: getting the sample size rightPart 6: Advanced qualitative or nominal techniques41. Log-Linear Methods: The analysis of complex contingency tables42. Multinomial logistic regression: Distinguishing between several different categories or groups43. Binomial Logistic Regression AppendicesAppendix A: Testing for excessively skewed distributionsAppendix B1: Large sample formulae for the nonparametric testsAppendix B2: Nonparametric tests for three or more groupsAppendix C: Extended table of significance for the Pearson correlation coefficientAppendix D: Table of significance for the Spearman correlation coefficientAppendix E: Extended table of significance for the t-testAppendix F: Table of significance for Chi-squareAppendix G: Extended table of significance for the sign testAppendix H: Table of significance for the Wilcoxon Matched Pairs TestAppendix I: Table of significance for the Mann-Whitney U-testAppendix J: Table of significance values for the F-distributionAppendix K: Table of significant values oft when making multiple t-testsGlossaryReferencesIndex

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