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Stats & Probability for Behavioral/Social Sciences Textbooks

by James Jaccard and Michael A. Becke

Edition: 4TH 02Copyright: 2002

Publisher: Wadsworth, Inc

Published: 2002

International: No

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Now your students can become intelligent consumers of scientific research, without being overwhelmed by the statistics! Jaccard and Becker's text teaches students the basic skills for analyzing data and helps them become intelligent consumers of scientific information. Praised for its real-life applications, the text tells students 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).

**Benefits: **

- "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.
- "Exercises to Apply Concepts," found at the end of each chapter, let students work through exercises that use interesting, literature-based examples.
- The book features multiple-choice questions at the end of each chapter, in addition to its extensive short-answer and computational problems.
- In-chapter and end-of-chapter exercises and solutions have been "double checked" for accuracy.
- NEW! 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) has been increased.
- NEW! Each chapter that describes a parametric inferential statistic now includes a section on confidence intervals. Good examples of this appear in chapters 1, 3, 9, 12, 14, and 17.
- NEW! This edition offers more in-depth discussion on issues surrounding null hypothesis testing (chapters 8, 12, 13, 14, 15, 16, 17).
- NEW! "Examples from the Literature" feature additional coverage of recent statistical emphases found in the scientific journals.

**Jaccard, James : State University of New York, Albany Becke, Michael A. : Pennsylvania State University, Harrisburg **

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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Summary

Now your students can become intelligent consumers of scientific research, without being overwhelmed by the statistics! Jaccard and Becker's text teaches students the basic skills for analyzing data and helps them become intelligent consumers of scientific information. Praised for its real-life applications, the text tells students 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).

**Benefits: **

- "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.
- "Exercises to Apply Concepts," found at the end of each chapter, let students work through exercises that use interesting, literature-based examples.
- The book features multiple-choice questions at the end of each chapter, in addition to its extensive short-answer and computational problems.
- In-chapter and end-of-chapter exercises and solutions have been "double checked" for accuracy.
- NEW! 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) has been increased.
- NEW! Each chapter that describes a parametric inferential statistic now includes a section on confidence intervals. Good examples of this appear in chapters 1, 3, 9, 12, 14, and 17.
- NEW! This edition offers more in-depth discussion on issues surrounding null hypothesis testing (chapters 8, 12, 13, 14, 15, 16, 17).
- NEW! "Examples from the Literature" feature additional coverage of recent statistical emphases found in the scientific journals.

Author Bio

**Jaccard, James : State University of New York, Albany Becke, Michael A. : Pennsylvania State University, Harrisburg **

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.

Publisher Info

Publisher: Wadsworth, Inc

Published: 2002

International: No

Published: 2002

International: No

Now your students can become intelligent consumers of scientific research, without being overwhelmed by the statistics! Jaccard and Becker's text teaches students the basic skills for analyzing data and helps them become intelligent consumers of scientific information. Praised for its real-life applications, the text tells students 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).

**Benefits: **

- "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.
- "Exercises to Apply Concepts," found at the end of each chapter, let students work through exercises that use interesting, literature-based examples.
- The book features multiple-choice questions at the end of each chapter, in addition to its extensive short-answer and computational problems.
- In-chapter and end-of-chapter exercises and solutions have been "double checked" for accuracy.
- NEW! 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) has been increased.
- NEW! Each chapter that describes a parametric inferential statistic now includes a section on confidence intervals. Good examples of this appear in chapters 1, 3, 9, 12, 14, and 17.
- NEW! This edition offers more in-depth discussion on issues surrounding null hypothesis testing (chapters 8, 12, 13, 14, 15, 16, 17).
- NEW! "Examples from the Literature" feature additional coverage of recent statistical emphases found in the scientific journals.

Becke, Michael A. : Pennsylvania State University, Harrisburg

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.