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Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
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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“To study the interaction effects, we centered the independent variables to avoid potential problems with respect to multicollinearity (53).”
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“since decreases in DD rates can also be caused by other factors than the training itself, such as learning effects, regression to the mean, or expectations (Boot, Simons, Stothart, & Stutts, 2013; Cohen, Cohen, West, & Aiken, 2013).”
From Behavioral trainings and manipulations to reduce delay discounting: A systematic review (2019) · cites this paper as Cohen, Cohen, West, & Aiken, 2013
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Metadata
- Authors
- Cohen
- Corresponding author
- Cohen
- Venue
- Routledge eBooks
- Publisher
- Routledge
- Published
- 2013-06-17
- 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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