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Overview
Now your students can become intelligent consumers of scientific research, without being overwhelmed by the statistics! Jaccard and Becker's Statistics for the Behavioral Sciences, Fifth Edition, teaches students the basic skills for analyzing data and helps them become intelligent consumers of scientific information. Praised for its real-life applications, this student-friendly text tells readers when to use a particular statistic, why they should use it, and how the statistic should be computed and interpreted. Because many students, 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).
- The authors have increased emphasis and discussion on "effect size" estimation and confidence intervals in research in the social sciences (found in Chapters 8, 10, 11, 12, 13, 14, and 17).
- Each chapter that describes a parametric inferential statistic (chapters 1, 3, 9, 12, 14, and 17) now includes a section on confidence intervals.
- This edition offers more in-depth discussion on issues surrounding null hypothesis testing (chapters 8, 12, 13, 14, 15, 16, 17).
- "Examples from the Literature" features provide additional coverage of recent statistical emphases found in the scientific journals.
- Links Between Chapters: Links Between Chapters sections tie the content of the book together by relating information in current chapters to information presented in other chapters.
- Reorganization/Expansion of Selected Sections: Selected sections have been reorganized and/or expanded to help students grasp the most difficult topics. Several tables have also been added.
- "Applications to the Analysis of a Social Problem" sections present vivid accounts of how data are analyzed in the real world.
- "Method of Presentation" sections provide examples of how statistical analysis are typically presented in real research reports.
- Multiple-choice questions appear at the end of each chapter, in addition extensive short-answer and computational problems.
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.
1. Research Design and Statistical Preliminaries for Analyzing Bivariate Relationships.
2. Independent Groups t Test.
3. Correlated Groups t Test.
4. One-Way Between-Subjects Analysis of Variance.
5. One-Way Repeated Measures Analysis of Variance.
6. Pearson Correlation and Regression: Inferential Aspects.
7. Chi-Square Test.
8. Nonparametric Statistics.
Part III: ADDITIONAL TOPICS.
1. Two-Way Between-Subjects Analysis of Variance.
2. Overview and Extension: Selecting the Appropriate Statistical Test for Analyzing Bivariate Relationships and Procedures for More Complex Designs.
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- ISBN-10: 0357375815
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