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    Introduction to Statistics in Psychology (Mixed media product) By (author) Dennis Howitt, By (author) Duncan Cramer


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    DescriptionIntroduction to Statistics in Psychology 4th edition is the complete guide to statistics for psychology students. Its range is exceptional in order to meet student needs throughout their undergraduate degree and beyond. By keeping to simple mathematics, step by step explanations of all the important statistical concepts, tests and procedures ensure that students understand data analysis properly. Pedagogical features such as research design issues', calculations' and the advice boxes help structure study into manageable sections whilst the overview and key points help with revision. Plus this 4th edition includes even more examples to bring to life how different statistical tests can be used in different areas of psychology.

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    Introduction to Statistics in Psychology
    Authors and contributors
    By (author) Dennis Howitt, By (author) Duncan Cramer
    Physical properties
    Format: Mixed media product
    Number of pages: 560
    Width: 188 mm
    Height: 242 mm
    Thickness: 40 mm
    Weight: 1,102 g
    ISBN 13: 9780132051613
    ISBN 10: 0132051613

    BIC E4L: PSY
    B&T Book Type: NF
    B&T Merchandise Category: TXT
    Nielsen BookScan Product Class 3: S2.3
    B&T Modifier: Region of Publication: 03
    B&T Modifier: Academic Level: 01
    LC classification: BF
    B&T General Subject: 670
    BIC subject category V2: JMBT
    B&T Modifier: Text Format: 06
    BISAC V2.8: PSY032000
    LC subject heading:
    BISAC V2.8: PSY000000
    DC22: 150.15195
    Thema V1.0: JMBT
    4, Revised
    Edition statement
    4th Revised edition
    Pearson Education (US)
    Imprint name
    Prentice Hall
    Publication date
    29 November 2007
    Publication City/Country
    Upper Saddle River
    Review quote
    ' With a thorough appreciation for a range of topics, the text really is a priceless aid to my revision. This new edition is a student-friendly goldmine, packed full of working examples and theoretical considerations for all of the statistics I study at university'. Joshua Baker, Psychology Student, Nottingham Trent University 'Essential reading for all undergraduate psychology students'. Dr. Andrew J. Stewart, University of Manchester
    Table of contents
    Contents Introduction Part 1: Descriptive statistics 1. Why you need statistics: Types of data 2. Describing variables: Tables and diagrams 3. Describing variables numerically: Averages, variation and spread 4. Shapes of Distributions of Scores 5. Standard deviation and z-scores: The standard unit of measurement in statistics 6. Relationships between two or more variables: Diagrams and tables 7. Correlation coefficients: Pearson correlation and Spearman's rho 8. Regression: Prediction with precision Part 2: Significance testing 9. Samples and populations: Generalising and inferring 10. Statistical significance for the correlation coefficient: A practical introduction to statistical inference 11. Standard error: The standard deviation of the means of samples 12. The t-test: Comparing two samples of correlated/related scores 13. The t-test: Comparing two samples of unrelated/uncorrelated scores 14. Chi-square: Differences between samples of frequency data 15. Probability 16. Reporting significance levels succinctly 17. One-tailed versus two-tailed significance testing 18. Ranking tests: Nonparametric statistics Part 3: Introduction to analysis of variance 19. The variance ratio test: The F-ratio to compare two variances 20. Analysis of variance (ANOVA): Introduction to the one-way unrelated or uncorrelated ANOVA 21. Analysis of variance for correlated scores or repeated measures 22. Two-way analysis of variance for unrelated/uncorrelated scores: Two experiments for 23. Multiple comparisons in ANOVA: Just where do the differences lie? 24. Mixed-design ANOVA: Related and Unrelated Variables together 25. Analysis of covariance: Controlling for additional variables 26. Multivariate Analysis of Variance (MANOVA) 27. Discriminant (Function) analysis especially in MANOVA 28. Statistics and the analysis of experiments Part 4: More advanced correlational statistics 29. Partial correlation: Spurious correlation, third or confounding variables, suppressor 30. Factor analysis: Simplifying complex data 31. Multiple regression and multiple correlation 32. Path analysis 33. The analysis of a questionnaire/survey project Part 5:Assorted advanced techniques 34. Statistical power analysis: Do my findings matter? 35. Meta-analysis: Combining and exploring statistical findings from previous research 36. Reliability in scales and measurement: Consistency and agreement 37. Confidence intervals Part 6: Advanced qualitative or nominal techniques 38. Log-Linear Methods: The analysis of complex contingency tables 39. Multinomial logistic regression: Distinguishing between several different categories 40. Binomial Logistic Regression Appendices Appendix A: Testing for excessively skewed distributions Appendix B1: Large sample formulae for the nonparametric tests Appendix B2: Nonparametric tests for three or more groups Appendix C: Extended table of significance for the Pearson correlation coefficient Appendix D: Table of significance for the Spearman correlation coefficient Appendix E: Extended table of significance for the t-test Appendix F: Table of significance for Chi-square Appendix G: Extended table of significance for the sign test Appendix H: Table of significance for the Wilcoxon Matched Pairs Test Appendix I: Table of significance for the Mann-Whitney U-test Appendix J: Table of significance values for the F-distribution Appendix K: Table of significant values of t when making multiple t-tests References Index