Fundamental statistics for the behavioral sciences

Fundamental statistics for the behavioral sciences focuses on providing the context of statistics in behavioral research, while emphasizing the importance of looking at data before jumping into a test. This practical approach provides students with an understanding of the logic behind the statistics, so they understand why and how certain methods are used -- rather than simply carry out techniques by rote. Students move beyond number crunching to discover the meaning of statistical results and appreciate how the statistical test to be employed relates to the research questions posed by an experiment. Written in an informal style, the text includes an abundance of real data and research studies that provide a real-life perspective and help students learn and understand concepts. In alignment with current trends in statistics in the behavioral sciences, the text emphasizes effect sizes and meta-analysis, and integrates frequent demonstrations of computer analyses through SPSS and R.

Introduction -- Basic concepts -- Displaying data -- Measures of central tendency -- Measures of variability -- The normal distribution -- Basic concepts of probability -- Sampling distributions and hypothesis testing -- Correlation -- Regression -- Multiple regression -- Hypothesis tests applied to means : one sample -- Hypothesis tests applied to means : two related samples -- Hypothesis tests applied to means : two independent samples -- Power -- One-way analysis of variance -- Factorial analysis of variance -- Repeated-measures analysis of variance -- Chi-square -- Nonparametric and distribution-free statistical tests -- Meta-analysis -- Appendix A. Arithmetic review -- Appendix B. Symbols and notation -- Appendix C. Basic statistical formulae -- Appendix D. Data set -- Appendix E. Statistical tables.