Statistical Applications for the Behavioral Sciences
Published on 6. July 1993
Book
Hardback
608 pages
978-0-471-50982-0 (ISBN)
Description
This exciting applications-oriented text features a meticulous step-by-step presentation of statistical theories and formulas. An entire chapter on research design provides students with an overall context for all of the statistical theories and formulas which follow and each chapter opens by establishing the specific research context for one of the statistical analyses presented.
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K. Paul Nesselroade | Laurence G. Grimm
Statistical Applications for the Behavioral and Social Sciences
Book
01/2019
2nd Edition
Wiley
€142.55
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Person
Laurence G. Grimm, PhD, - deceased - was a clinical psychologist and Emeritus Associate Professor, University of Illinois at Chicago.
Content
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 TScores.
INFERENTIAL STATISTICS: PARAMETRIC TESTS.
Hypothesis Testing and Sampling Distributions.
Testing the Significance of a Single Mean: The Single-Sample z andt Tests.
Directional and Nondirectional Testing of the Difference BetweenTwo 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.
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 TScores.
INFERENTIAL STATISTICS: PARAMETRIC TESTS.
Hypothesis Testing and Sampling Distributions.
Testing the Significance of a Single Mean: The Single-Sample z andt Tests.
Directional and Nondirectional Testing of the Difference BetweenTwo 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.