Basic statistics for behavioral science research
Author(s)
Bibliographic Information
Basic statistics for behavioral science research
Allyn and Bacon, c1998
2nd ed
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Note
Includes bibliographical references (p. 503-506) and index
Description and Table of Contents
Description
Basic Statistics for Behavioral Science Research was written especially for students with little mathematical background. Its focus is on teaching students how to select and conduct appropriate statistical tests to answer research questions or analyze student performance, as well as on helping students become good consumers of research through the understanding of the statistical methods used.
Table of Contents
All chapters conclude with "Chapter Summary," and "Chapter Review."
1.Introduction.
Why Study Statistics?
What Are the Uses of Statistics?
What Are the Characteristics of Variables?
What Are Parametric and Nonparametric Tests?
What Symbols and Procedures Are Used in Statistics?
What Is the Role of Calculators and Computers?
What Is the Best Way to Study Statistics?
2.Introduction to Research Design.
What Is Scientific Research?
What Are Some Approaches to Research?
How Are Extraneous Variables Controlled?
What Are Some Guidelines for Using Statistics?
3.Describing Data: Tables and Graphs.
How Should Scores Be Organized?
How Are Tables of Frequency Distributions Used?
What Are Percentiles?
How Are Graphs of Frequency Distributions Used?
What Is the Best Way to Present Data?
4.Describing Data: Central Tendency, Variability, and Standard Scores.
What Is a Measure of Central Tendency?
What Is a Measure of Variability?
What Are Standard Scores?
When Should You Use the Techniques?
5.Probability and the Normal Curve.
What Are Empirical and Theoretical Distributions?
What Is Probability?
What Is the Binomial Distribution?
What Is the Normal Distribution?
What Is a Normal Curve Table?
What Are Some General Guidelines for Solving Normal Curve Problems?
6.Correlation.
What Is Correlation?
What Is the Pearson r Statistic?
What Is a Significant Pearson r?
Are There Other Types of Correlation?
When Are Correlation Techniques Used?
7.Regression.
What Is Regression?
What Are the Formulas for Regression?
How Are Regression Lines Plotted and Used?
What Is Regression Toward the Mean?
What Is a Standard Error of Estimate?
What Is Multiple Regression?
When Is Regression Used?
8.The Logic of Inferential Statistics.
How Are Samples Used in Inferential Statistics?
What Are Sampling Distributions and How Are They Used?
What Are z-Tests and How Are They Used?
What Are the Uses of Inferential Statistics?
How Are Hypotheses Tested?
9.t-Tests and Confidence Intervals About Means.
How Are t-Tests Used to Test Hypotheses About Means?
Why Are There Different Types of t-Tests?
How Are Confidence Intervals Used?
When Should These Techniques Be Used?
10.One-Way Analysis of Variance.
What Is the F-Distribution?
What Is an Analysis of Variance?
How Do You Decide Which Analysis to Use?
11.Comparisons Among Means.
What Is a Comparison?
What Is the Scheffe Comparison Procedure?
What Is the Tukey HSD Procedure?
What Are Some Other Comparison Procedures?
How Do You Select the Appropriate Procedure?
12.Two-Way Analysis of Variance.
What Is a Two-Way Analysis of Variance?
What Are the Formulas for the Two-Way Analysis of Variance?
How Is a Two-Way ANOVA Used?
13.Chi-Square.
What Is a Chi-Square Test?
What Is a X2 Goodness-of-Fit Test?
What Is a X2 Test of Independence?
How Can You Correct for Small Expected Frequencies?
How Are Results of X2 Tests Reported?
When Should X2 Tests Be Used?
14.Selecting Appropriate Statistical Tests.
What Is the Nature of Your Data?
What Is Your Purpose?
How Do Your Questions and Hypotheses Influence the Choice of Analysis?
What Are Some Issues in Reporting Research Results?
What Next?
References.
Appendix Tables.
Glossary.
Answers and Solutions.
Index.
by "Nielsen BookData"