Basic Statistics for Behavioral Science Research / Edition 2

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There are numerous professionals who are interested in doing research but who may not have had much statistical training as part of their formal education. This book addresses the needs of the "mathematically challenged" in ways no other statistics book does. Most statistics books are written for people who teach statistics, not those who want to learn to use statistics in order to read, understand, and conduct research. KEY TOPICS: Written for those with little mathematical background, this book focuses on teaching students how to select and conduct appropriate statistical tests to answer research questions. This book does not assume a lot of prior knowledge, nor does it assume readers will know what kind of tests to perform. Written in with an engaging tone, this book is for anyone - from teachers to nurses, from social workers to managers - who needs to know the basics of researching and analyzing data.

Incl. research & causality, how numbers are interpreted, misleading graphs, multiple regression etc.

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Editorial Reviews

This is the second edition of a textbook for behavioral science students. It covers research design, describing data, probability, correlation, regression, inferential statistics, confidence intervals, means, two-way analysis of variance, and selecting appropriate statistical tests. Appends answers to study questions, statistical tables, a glossary, and formulae. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9780205268894
  • Publisher: Pearson
  • Publication date: 7/3/1997
  • Edition description: REV
  • Edition number: 2
  • Pages: 576
  • Product dimensions: 6.92 (w) x 9.05 (h) x 1.10 (d)

Table of Contents

All chapters conclude with “Chapter Summary,” and “Chapter Review.”


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?


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?


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 Scheffé 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?


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?


Appendix Tables.


Answers and Solutions.


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  • Anonymous

    Posted May 1, 2002

    This is the best textbook I have ever used!

    This is a great book! I did not want to take statistics. Fortunately, I got Mary Harris for my professor. She is amazing, and I chuckled while I did my homework. Explanations very clear. Situations very interesting. Never boring!

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