The DOI matches its Crossref record.
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).”
In the citing paper
“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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Mediation in experimental and nonexperimental studies: New procedures and recommendations.
Shrout, P. E., & Bolger, N. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.4.422 · Cited by 11,335
Justice at the millennium: A meta-analytic review of 25 years of organizational justice research.
Colquitt, J. A., Conlon, D. E., Wesson, M. J., Porter, C. O. L. H., & Ng, K. Y. (2001) · Journal of Applied Psychology · doi:10.1037/0021-9010.86.3.425 · Cited by 5,942
Impacts of the COVID-19 pandemic on life of higher education students: A global perspective
Aristovnik, A., Keržič, D., Ravšelj, D., Tomaževič, N., & Umek, L. (2020) · Sustainability · doi:10.3390/su12208438 · Cited by 2,047
Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning
Yarkoni, T., & Westfall, J. (2017) · Perspectives on Psychological Science · doi:10.1177/1745691617693393 · Cited by 2,088
Development and Validation of the Political Skill Inventory
Ferris, G. R., Treadway, D. C., Kolodinsky, R. W., Hochwarter, W. A., Kacmar, C. J., Douglas, C., & Frink, D. D. (2005) · Journal of Management · doi:10.1177/0149206304271386 · Cited by 1,400
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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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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