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Cited by 3,228Statistical Methods and ApplicationsAdvanced Statistical Methods and ModelsMultidisciplinary Science and Engineering Research

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Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

Cohen·2013·Routledge eBooks
DOI 10.4324/9780203774441
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Abstract

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 . Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.

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Metadata

Authors
Cohen
Corresponding author
Cohen
Venue
Routledge eBooks
Publisher
Routledge
Published
2013-06-17
DOI
10.4324/9780203774441
OpenAlex
W4239677523
Cited by
3,228
References
0
Citations by year
2026: 413 · 2025: 551 · 2024: 379 · 2023: 262 · 2022: 247 · 2021: 294 · 2020: 171 · 2019: 170 · 2018: 212 · 2017: 189 · 2016: 142 · 2015: 70 · 2014: 16 · 2013: 3
FWCI
17.60
Type
book
Language
en
Open access
closed
Locations
Routledge eBooks (publishedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Multidisciplinary Science and Engineering Research
Keywords
multiple linear regression, bivariate correlation, regression model specification, confidence intervals, effect size measures, behavioral science, SPSS, SAS, SYSTAT

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