Statistics for the Behavioral and Social Sciences: A Brief course, 3/E
Arthur Aron, Ph.D., State University of New York at Stony Brook
Elaine N. Aron, Ph.D., State University of New York at Stony Brook
Elliot Coups, Ph.D., Memorial Sloan-Kettering Cancer Center

ISBN-10: 0131505084
ISBN-13: 9780131505087

Publisher: Prentice Hall
Copyright: 2005
Format: Paper; 496 pp
Status: Out of Print

Suggested retail price: $105.40
This item is out of print and is no longer available for purchase.

For one-quarter/semester courses that focus on the basics or combine statistics with research methods.

This unique text capitalizes on a successful approach of using definitional formulas to emphasize concepts of statistics, rather than rote memorization. This conceptual approach constantly reminds students of the logic behind what they are learning. Procedures are taught verbally, numerically, and visually, which appeals to students with different learning styles. Focusing on understanding, the text emphasizes the intuitive, de-emphasizes the mathematical, and explains everything in clear, simple language. Thoroughly revised with new content, new pedagogical features, and triple the number of practice problems, this text not only teaches statistics, but prepares students to read and understand research articles.

  • NEW - Triple the number of practice problems.

    • Practice problems are now divided into two sets—Set I offers answers in the Appendix, so students can check their work; Set II answers appear only in the Instructor's Manual and can be assigned by instructors as homework problems.

  • NEW - “How Are You Doing?” sections—Brief questions at the end of each main section of each chapter.

    • Enable students to check that they have learned a section's key points before going on to the next.

  • NEW - Verbal explanation boxes attached to each formula.

    • Allows students who are more at ease with words than numbers to grasp important concepts.

  • NEW - Example Worked-Out Problems—Added to the end of each chapter before the practice problems.

    • Helps ease students' anxiety about doing the practice problems by giving them step-by-step guidance through a model problem before they attempt the practice problems on their own.

  • NEW - “Tips for Success” in margins.

    • Point out common errors and provide brief hints and encouragement on key points in the text.

 

  • NEW - “Stat Links” in margins—These provide Internet addresses of relevant statistics websites.

    • These serve as links to resources for students to check, and extend, their understanding of the course material.

  • NEW - Exciting Website—Includes Powerpoint presentation materials, on-line student study guide, flash card exercises, all formulas in symbols and in words, and more! 

    • Gives students incredible support to the text; provides instructors with many new teaching resources.

  • Definitional formulas emphasized.

    • Unlike the “computational formulas” emphasized in other texts, definitional formulas provide students with a concise summary of the logic of each procedure. By using these definitional formulas in all explanations, examples, and exercises, these underlying ideas are consistently reinforced.

  • Verbal, numerical, and visual presentation of each procedure.

    • Reaches students with different learning styles and ingrains key ideas from multiple perspectives.

  • Power and effect size—Integrated and emphasized throughout.

    • Keeping with the widespread recent recognition of their importance.

  • Unique concluding chapter on advanced procedures—e.g., hierarchical and stepwise multiple regression; factor analysis; structural equation modeling; analysis of covariance; and multivariate analysis of variance.

    • Provides students with a rudimentary understanding of advanced procedures.

 

  • Student Study Guide and Computer Workbook available.

    • Provides a thorough guide to mastering concepts and a workbook for using SPSS 12.0 with this book.

 

  • Triple the number of practice problems.

    • Practice problems are now divided into two sets—Set I offers answers in the Appendix, so students can check their work; Set II answers appear only in the Instructor's Manual and can be assigned by instructors as homework problems.

  • “How Are You Doing?” sections—Brief questions at the end of each main section of each chapter.

    • Enable students to check that they have learned a section's key points before going on to the next.

  • Verbal explanation boxes attached to each formula.

    • Allows students who are more at ease with words than numbers to grasp important concepts.

  • Example Worked-Out Problems—Added to the end of each chapter before the practice problems.

    • Helps ease students' anxiety about doing the practice problems by giving them step-by-step guidance through a model problem before they attempt the practice problems on their own.

  • “Tips for Success” in margins.

    • Point out common errors and provide brief hints and encouragement on key points in the text.

 

  • “Stat Links” in margins–These provide Internet addresses of relevant statistics websites.

    • These serve as links to resources for students to check, and extend, their understanding of the course material.

  • Exciting Website–Includes Powerpoint presentation materials, on-line student study guide, flash card exercises, all formulas in symbols and in words, and more! 

    • Gives students incredible support to the text; provides instructors with many new teaching resources.



 1. Displaying the Order in a Group of Numbers.

The Two Branches of Statistical Methods. Some Basic Concepts. Kinds of Variables. Frequency Tables. Histograms. Frequency Graphs. Shapes of Frequency Distributions. Frequency Tables, Histograms, and Frequency Polygons in Research Articles. Summary. Key Terms. Example Worked-Out Problems. Practice Problems.



 2. The Mean, Variance, Standard Deviation, and Z Scores.

The Mean. The Variance and the Standard Deviation. Z Scores. Mean, Variance, Standard Deviation, and Z Scores in Research Articles. Summary. Key Terms. Example Worked-Out Problems. Practice Problems.



 3. Correlation and Prediction.

Graphing Correlations: The Scatter Diagram. Patterns of Correlation. The Degree of Linear Correlation: The Correlation Coefficient. Issues in Interpreting the Correlation Coefficient. Prediction. Multiple Regression and Multiple Correlation. The Correlation Coefficient and the Proportion of Variance Accounted for. Correlation and Prediction in Research Articles. Summary. Key Terms. Exampled Worked-Out Problems. Practice Problems. Chapter Appendix: Hypothesis Tests and Power for the Correlation Coefficient.



 4. Some Key Ingredients for Inferential Statistics: The Normal Curve, Probability, and Population Versus Sample.

The Normal Distribution. Probability. Sample and Population. Normal Curves, Probabilities, Samples, and Populations in Research Articles. Summary. Key Terms. Example Worked-Out Problems. Practice Problems.



 5. Introduction to Hypothesis Testing.

A Hypothesis-Testing Example. The Core Logic of Hypothesis Testing. The Hypothesis-Testing Process. One-Tailed and Two-Tailed Hypothesis Tests. Hypothesis Tests in Research Articles. Summary. Key Terms. Example Worked-Out Problem. Practice Problems.



 6. Hypothesis Testing and the Means of Samples.

The Distribution of Means. Hypothesis Testing with a Distribution of Means. Estimation and Confidence Intervals. Hypothesis Tests about Means of Samples and Confidence Intervals in Research Articles. Summary. Key Terms. Example Worked-Out Problems. Practice Problems.



 7. Making Sense of Statistical Significance: Decision Errors, Effect Size, and Statistical Power.

Decision Errors. Effect Size. Statistical Power. What Determines the Power of a Study? The Role of Power When Planning a Study. The Role of Power When Interpreting the Results of a Study. Decision Errors, Effect Size, and Power in Research Articles. Summary. Key Terms. Example Worked-Out Problem. Practice Problems.



 8. Introduction to the t Test.

The t Test for a Single Sample. The t Test for Dependent Means. Assumptions of the t Test. Effect Size and Power for the t Test for Dependent Means. t Tests in Research Articles. Summary. Key Terms. Example Worked-Out Problems. Practice Problems.



 9. The t Test for Independent means.

The Distribution of Differences Between Means. Hypothesis Testing with a t Test for Independent Means. Assumptions of the t Test for Independent Means. Effect Size and Power for the t Test for Independent Means. The t Test for Independent Means in Research Articles. Summary. Key Terms. Example Worked-Out Problems. Practice Problems.



10. Introduction to the Analysis of Variance.

Basic Logic of the Analysis of Variance. Carrying Out an Analysis of Variance. Hypothesis Testing with the Analysis of Variance. Assumptions in the Analysis of Variance. Comparing Each Group to Each Other Group. Effect Size and Power for the Analysis of Variance. Factorial Analysis of Variance. Analyses of Variance in Research Articles. Summary. Key Terms. Example Worked-Out Problems. Practice Problems.



11. Chi-Square Tests and Strategies When Population Distributions Are Not Normal.

Chi-Square Tests. The Chi-Square Statistic and the Chi-Square Test for Goodness of Fit. The Chi-Square Test for Independence. Strategies for Hypothesis Testing When Population Distributions Are Not Normal. Data Transformations. Rank-Order Tests. Chi-Square Tests, Data Transformations, and Rank-Order Tests in Research Articles. Summary. Key Terms. Example Worked-Out Problems. Practice Problems.



12. Making Sense of Advanced Statistical Procedures and Research Articles.

Brief Review of Multiple Regression. Hierarchical and Stepwise Multiple Regression. Partial Correlation. Reliability. Factor Analysis. Causal Modeling. Procedures that Compare Groups. Analysis of Covariance (ANCOVA). Multivariate Analysis of Variance (MANOVA) and Multivariate Analysis of Covariance (MANCOVA). Overview of Statistical Techniques. How to Read Results Involving Unfamiliar Statistical Techniques. Summary. Key Terms. Practice Problems.

    For one-quarter/semester courses that focus on the basics or combine statistics with research methods.

     

    By using definitional formulas to emphasize the concepts of statistics, rather than rote memorization, students work problems in a way that keeps them constantly aware of the underlying logic of what they are doing. 

     

    Here, in the fourth edition of Statistics for the Behavioral and Social Sciences, the authors have refined their text by building off an already well-established approach - emphasizing the intuitive, deemphasizing the mathematical, and explaining everything in direct, simple language - but also going beyond these principles to both further student understanding and stimulate the long-suffering community of statistics instructors. By using definitional formulas to emphasize the concepts of statistics, rather than rote memorization, students work problems in a way that keeps them constantly aware of the underlying logic of what they are doing. 

     

  • 0131562789Statistics for the Behavioral and Social Sciences, 4/E
    Aron, Aron & Coups
    © 2008 | Prentice Hall | Paper; 504 pages | Instock
    ISBN-10: 0131562789 | ISBN-13: 9780131562783
    Brief Description | Buy from myPearsonStore

For Research Methods in Anthropology


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