Statistical power analysis for the behavioral sciences
By Cohen, Jacob
"Statistical power analysis for the behavioral sciences" was published by Academic Press in 1977 - New York, it has 474 pages and the language of the book is English.
“Statistical power analysis for the behavioral sciences” Metadata:
- Title: ➤ Statistical power analysis for the behavioral sciences
- Author: Cohen, Jacob
- Language: English
- Number of Pages: 474
- Publisher: Academic Press
- Publish Date: 1977
- Publish Location: New York
“Statistical power analysis for the behavioral sciences” Subjects and Themes:
- Subjects: ➤ Probabilities - Statistical methods - Statistical power analysis - Social sciences - Multivariate analysis - Psychometrics - Statistics - Behavioral Sciences - Biometry - Statistics as Topic - Probability - Sciences sociales - Méthodes statistiques - Probabilités - SOCIAL SCIENCE - Methodology - Statistische toetsen - Methods - Analysis of Variance - Probability Learning - Social sciences--statistical methods - Ha29 .c66 1988 - Bf 199 - 300/.1/5195 - Behaviorism (psychology) - Nurses' Instruction
Edition Specifications:
- Pagination: xv, 474 p. ;
Edition Identifiers:
- The Open Library ID: OL4888322M - OL4623796W
- Online Computer Library Center (OCLC) ID: 2464553
- Library of Congress Control Number (LCCN): 76019438
- ISBN-13: 9780121790608
- ISBN-10: 0121790606
- All ISBNs: 0121790606 - 9780121790608
AI-generated Review of “Statistical power analysis for the behavioral sciences”:
"Statistical power analysis for the behavioral sciences" Description:
Open Data:
Statistical Power Analysis for the Behavioral Sciences, Revised Edition emphasizes the importance of statistical power analysis. This edition discusses the concepts and types of power analysis, t test for means, significance of a product moment rs, and differences between correlation coefficients. The test that a proportion is .50 and sign test, differences between proportions, and chi-square tests for goodness of fit and contingency tables are also elaborated. This text likewise covers the F tests of variance proportions in multiple regression/correlation analysis and computational procedures
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