Statistical Applications for the Behavioral Sciences

Explains the conceptual foundations of statistical analyses (particularly inferential statistics), emphasizing the research context. Teaches students how to ``work the formulas′′ by presenting cleary defined steps for dealing with statistical problems. Covers chi–square and other nonparametric tests, one/two–way and repeated–measures ANOVA, data analytic procedures such as linear correlation and regression. Boxed features highlight the topics under discussion using published and unpublished research and contain biographical sketches of luminaries in the field of statistics. Each chapter concludes with an extended summary, the relevant formulas and numerous work problems.

Spis treści:
Partial table of contents:
BASIC CONCEPTS OF RESEARCH AND DESCRIPTIVE STATISTICS.
Basic Concepts in Research.
Scales of Measurement and Data Display.
Measures of Central Tendency.
The Normal Curve and Transformations: Percentiles, z Scores and T Scores.
INFERENTIAL STATISTICS: PARAMETRIC TESTS.
Hypothesis Testing and Sampling Distributions.
Testing the Significance of a Single Mean: The Single–Sample z and t Tests.
Directional and Nondirectional Testing of the Difference Between Two Means: The Independent–Samples t Test.
Confidence Intervals and Hypothesis Testing.
Two–Way Analysis of Variance.
Repeated–Measures Analysis of Variance.
Linear Correlation.
Linear Regression.
INFERENTIAL STATISTICS: NONPARAMETRIC TESTS.
The Chi–Square Test.
Other Nonparametric Tests.
Appendices.
Glossary.
References.
Index.