Statistical applications for the behavioral sciences

Author(s)

Bibliographic Information

Statistical applications for the behavioral sciences

Laurence G. Grimm

J. Wiley, c1993

  • : hard
  • : pbk

Available at  / 36 libraries

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Note

Includes bibliographical references (p. 577-585) and index

Description and Table of Contents

Volume

: hard ISBN 9780471509820

Description

Explains the conceptual foundations of statistical analyses (particularly inferential statistics), emphasizing the research context. Teaches students how to "work the formulasa a by presenting cleary defined steps for dealing with statistical problems. Covers chi--square and other nonparametric tests, one/two--way and repeated--measures ANOVA, data analytic procedures such as linear correlation and regression. Boxed features highlight the topics under discussion using published and unpublished research and contain biographical sketches of luminaries in the field of statistics. Each chapter concludes with an extended summary, the relevant formulas and numerous work problems.

Table of Contents

Partial table of contents: BASIC CONCEPTS OF RESEARCH AND DESCRIPTIVE STATISTICS. Basic Concepts in Research. Scales of Measurement and Data Display. Measures of Central Tendency. The Normal Curve and Transformations: Percentiles, z Scores and T Scores. INFERENTIAL STATISTICS: PARAMETRIC TESTS. Hypothesis Testing and Sampling Distributions. Testing the Significance of a Single Mean: The Single--Sample z and t Tests. Directional and Nondirectional Testing of the Difference Between Two Means: The Independent--Samples t Test. Confidence Intervals and Hypothesis Testing. Two--Way Analysis of Variance. Repeated--Measures Analysis of Variance. Linear Correlation. Linear Regression. INFERENTIAL STATISTICS: NONPARAMETRIC TESTS. The Chi--Square Test. Other Nonparametric Tests. Appendices. Glossary. References. Index.
Volume

: pbk ISBN 9780471599579

Description

Designed for students of psychology, this textbook explores the application of statistical theories and formulae. Each chapter opens by establishing the specific research context for the statistical analysis being presented.

Table of Contents

  • Partial table of contents:
  • BASIC CONCEPTS OF RESEARCH AND DESCRIPTIVE STATISTICS
  • Basic Concepts in Research
  • Scales of Measurement and Data Display
  • Measures of Central Tendency
  • The Normal Curve and Transformations: Percentiles, z Scores and T Scores
  • INFERENTIAL STATISTICS: PARAMETRIC TESTS
  • Hypothesis Testing and Sampling Distributions
  • Testing the Significance of a Single Mean: The Single-Sample z and t Tests
  • Directional and Nondirectional Testing of the Difference Between Two Means: The Independent-Samples t Test
  • Confidence Intervals and Hypothesis Testing
  • Two-Way Analysis of Variance
  • Repeated-Measures Analysis of Variance
  • Linear Correlation
  • Linear Regression
  • INFERENTIAL STATISTICS: NONPARAMETRIC TESTS
  • The Chi-Square Test
  • Other Nonparametric Tests
  • Appendices
  • Glossary
  • References
  • Index.

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