Title:
Introduction to statistics in psychology
Personal Author:
Edition:
4th ed.
Publication Information:
New York : Pearson Education, 2008
Physical Description:
xxx, 527 p. ; 25 cm.+ 1 CD-ROM
ISBN:
9780132051613
General Note:
Accompanied by CD-ROM of the same title : CP 015743
Subject Term:
Added Author:
Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010175692 | BF39 H684 2008 | Open Access Book | Book | Searching... |
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Summary
Summary
Introduction 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.
Table of 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 |
