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Statistics for the Behavioral Sciences book cover
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Statistics for the Behavioral Sciences

By James Jaccard, Michael A. Becker

5th Edition © 2010
Discipline:Psychology
Course:Research Methods and Statistics
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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).

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About this product

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).

"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.

Table of contents

Chapters

Cover
Brief Contents
Contents
Preface
To the Student
Part 1: Statistical Preliminaries
Part 2: The Analysis of Bivariate Relationships
Part 3: Additional Topics
Appendix A: Table of Random Numbers
Appendix B: Proportions of Scores in a Normal Distribution
Appendix C: Factorials
Appendix D: Critical Values for the t Distribution
Appendix E: Power and Sample Size
Appendix F: Critical Values for the F Distribution
Appendix G: Studentized Range Values (q)
Appendix H: Critical Values for the Pearson Correlation Coefficient (r)
Appendix I: Fisher's Transformation of Pearson r (r')
Appendix J: Critical Values for the Chi-Square Distribution
Appendix K: Critical Values for the Mann-Whitney U Test
Appendix L: Critical Values for the Wilcoxon Signed-Rank Test
Appendix M: Critical Values for the Spearman Correlation Coefficient (rs)
Appendix N: Formulas for Unbiased Estimators of the Strength of the Relationship between Two Variables for Selected Tests
Answers to Selected Exercises
Glossary of Major Symbols
References
Index
Show more

Part 1: Statistical Preliminaries

Chapter 1: Introduction and Mathematical Preliminaries
Preview this section ↗
1.1 The Study of Statistics ↗
1.2 Research in the Behavioral Sciences ↗
1.3 Variables ↗
1.4 Measurement ↗
1.5 Discrete and Continuous Variables ↗
1.6 Populations and Samples ↗
1.7 Descriptive and Inferential Statistics ↗
1.8 The Concept of Probability ↗
1.9 Mathematical Preliminaries: A Review ↗
1.10 Statistics and Computers ↗
1.11 The Role of Statistical Formulas ↗
1.12 Links between Computer Results and Book Content ↗
1.13 Links between Chapters ↗
Applications to the Analysis of a Social Problem Using SPSS for Windows ↗
Summary ↗
Exercises ↗
Chapter 2: Frequency and Probability Distributions
2.1 Frequency Distributions for Quantitative Variables: Ungrouped Scores
2.2 Frequency Distributions for Quantitative Variables: Grouped Scores
2.3 Frequency Distributions for Qualitative Variables
2.4 Outliers
2.5 Frequency Graphs
2.6 Misleading Graphs
2.7 Graphs of Relative Frequencies, Percentages, Cumulative Frequencies, and Cumulative Relative Frequencies
2.8 Probability Distributions
2.9 Empirical and Theoretical Distributions
2.10 Method of Presentation
2.11 Examples from the Literature
2.12 Links between Computer Analysis and Book Content
2.13 Links between Chapters
Applications to the Analysis of a Social Problem Using SPSS for Windows
Summary
Exercises
Chapter 3: Measures of Central Tendency and Variability
3.1 Measures of Central Tendency for Quantitative Variables
3.2 Measures of Variability for Quantitative Variables
3.3 Computational Formula for the Sum of Squares
3.4 Conceptual Explanation of Variability
3.5 Relationship between Central Tendency and Variability
3.6 Graphs of Central Tendency and Variability
3.7 Measures of Central Tendency and Variability for Qualitative Variables
3.8 Skewness and Kurtosis
3.9 Sample versus Population Notation and Formulas
3.10 Method of Presentation
3.11 Example from the Literature
3.12 Links between Computer Results and Book Content
3.13 Links between Chapters
Applications to the Analysis of a Social Problem Using SPSS for Windows
Summary
Exercises
Chapter 4: Percentiles, Percentile Ranks, Standard Scores, and the Normal Distribution
4.1 Percentiles and Percentile Ranks
4.2 Standard Scores
4.3 The Effects of Standardizing Scores on the Characteristics of a Distribution
4.4 Standard Scores and the Normal Distribution
4.5 Method of Presentation
4.6 Links between Computer Results and Book Content
4.7 Links between Chapters
Applications to the Analysis of a Social Problem Using SPSS for Windows
Summary
Appendix 4.1 The Normal Distribution Formula
Exercises
Chapter 5: Pearson Correlation and Regression: Descriptive Aspects
5.1 The Linear Model
5.2 The Pearson Correlation Coefficient
5.3 Computational Formula for the Pearson Correlation Coefficient
5.4 Correlation and Causation
5.5 Interpreting the Magnitude of a Correlation Coefficient
5.6 Regression
5.7 Additional Issues Associated with the Use of Correlation and Regression
5.8 Links between Computer Results and Book Content
5.9 Links between Chapters
Summary
Exercises
Chapter 6: Probability
6.1 Probability of a Simple Event
6.2 Conditional Probability
6.3 Joint Probability
6.4 Adding Probabilities
6.5 Relationships among Probabilities
6.6 Sampling with versus without Replacement
6.7 Counting Rules
6.8 The Binomial Expression
6.9 Links between Chapters
Applications to the Analysis of a Social Problem Using SPSS for Windows
Summary
Exercises
Chapter 7: Estimation and Sampling Distributions
7.1 Finite versus Infinite Populations
7.2 Estimation of the Population Mean
7.3 Estimation of the Population Variance and Standard Deviation
7.4 Summary of Notation and Formulas for the Mean and Measures of Variability
7.5 Degrees of Freedom
7.6 Summary of Basic Estimation Concepts
7.7 The Sampling Distribution of the Mean and the Central Limit Theorem
7.8 The Estimated Standard Error of the Mean
7.9 Types of Sampling Distributions
7.10 Links between Computer Results and Book Content
7.11 Links between Chapters
Applications to the Analysis of a Social Problem Using SPSS for Windows
Summary
Exercises
Chapter 8: Hypothesis Testing: Inferences about a Single Mean
8.1 A Simple Analogy for Principles of Hypothesis Testing
8.2 Statistical Inference and the Normal Distribution: The One-Sample z Test
8.3 Defining Expected and Unexpected Results
8.4 Failing to Reject versus Accepting the Null Hypothesis
8.5 Decisions about the Alternative Hypothesis
8.6 Type I and Type II Errors
8.7 Effects of the Alpha Level and the Sample Size on the Power of Statistical Tests
8.8 Statistical and Real-World Significance
8.9 Directional versus Nondirectional Tests
8.10 Statistical Inference Using the Estimated Standard Error: The One-Sample t Test
8.11 Confidence Intervals
8.12 Method of Presentation
8.13 Examples from the Literature
8.14 Links between Computer Results and Book Content
8.15 Links between Chapters
Applications to the Analysis of a Social Problem Using SPSS for Windows
Summary
Exercises

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