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Statistics for the Behavioral Sciences
Synopses & Reviews
Now you can become intelligent consumers of scientific research, without being overwhelmed by the statistics! Jaccard and Becker's book teaches readers the basic skills for analyzing data and helps them become intelligent consumers of scientific information. Praised for its real-life applications, the book tells readers when to use a particular statistic, why they should use it, and how the statistic should be computed and interpreted. Because many readers, given a set of data, cannot determine where to begin in answering relevant research questions, the authors explicate the issues involved in selecting a statistical test. Each statistical technique is introduced by giving instances where the test is most typically applied followed by an interesting research example (each example is taken from psychology literature).
Book News Annotation:
This textbook for undergraduate students in the behavioral sciences provides an introduction to statistics. The emphasis is on learning to analyze data as it is commonly presented in behavioral science journals. Following the introductory chapters, Jaccard (SUNY Albany) and Becker (Pennsylvania State U., Harrisburg) discuss such topics as one-way repeated measures analysis of variance; nonparametric statistics; and selecting the appropriate statistical test for analyzing bivariate relationships.
Annotation c. Book News, Inc., Portland, OR (booknews.com)
This textbook for undergraduate students in the behavioral sciences provides an introduction to statistics. The emphasis is on learning to analyze data as it is commonly presented in behavioral science journals. Following the introductory chapters, Jaccard (SUNY Albany) and Becker (Pennsylvania Stat
Table of Contents
Part I: STATISTICAL PRELIMINARIES. 1. Introduction and Mathematical Preliminaries. 2. Frequency and Probability Distributions. 3. Measures of Central Tendency and Variability. 4. Percentiles, Percentile Ranks, Standard Scores, and the Normal Distribution. 5. Pearson Correlation and Regression: Descriptive Aspects. 6. Probability. 7. Estimation and Sampling Distributions. 8. Hypothesis Testing: Inferences About a Single Mean. Part II: THE ANALYSIS OF BIVARIATE RELATIONSHIPS. 9. Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships. 10. Independent Groups t Test. 11. Correlated Groups t Test. 12. One-Way Between-Subjects Analysis of Variance. 13. One-Way Repeated Measures Analysis of Variance. 14. Pearson Correlation and Regression: Inferential Aspects. 15. Chi-Square Test. 16. Nonparametric Statistics. Part III: ADDITIONAL TOPICS. 17. Two-Way Between-Subjects Analysis of Variance. 18. Overview and Extension: Selecting the Appropriate Statistical Test for Analyzing Bivariate Relationships and Procedures for More Complex Designs.
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