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Statistics for the Behavioral Sciences 5th Edition

James Jaccard, Michael A. Becker

  • Published
  • Previous Editions 2002, 1997, 1990
  • 736 Pages

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).

James Jaccard, State University of New York, Albany

Michael A. Becker, Pennsylvania State University, Harrisburg

  • 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).
  • 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.
  • Expanded Summaries: Summary sections have been expanded to more comprehensively summarize the information in the corresponding 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.
  • Each chapter that describes a parametric inferential statistic (chapters 1, 3, 9, 12, 14, and 17) now includes a section on confidence intervals.
  • Tukey HSD Test Examples: The Tukey HSD test examples in the ANOVA chapters are more fully worked out so that these now explicitly address all of the steps involved in every multiple comparison procedure that is discussed in the text.
  • The Three Questions Relevant to the Analysis of Bivariate Relationships: Whereas they were sometimes implicit in earlier editions of this book, the three questions relevant to the analysis of bivariate relationships are now explicitly stated in all relevant chapters.
  • Degrees of Freedom: All degrees of freedom are now presented as numbered equations.
  • 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.
  • Method of Presentation: Method of Presentation sections have been updated to be consistent with current American Psychological Association format.
  • 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.
PART I.
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.