PofoliaShared via Pofolia

· 2013

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

⁄ Cohen

Short summary

This classic text offers a non-mathematical, applied approach to multiple regression analysis, emphasizing verbal-conceptual exposition and practical examples for researchers.

AI-generated from the title and abstract; the full text is not read.

Key points

  • Focuses on a non-mathematical, applied, and data-analytic approach to multiple regression.
  • Utilizes verbal-conceptual exposition and frequent examples for clarity.
  • Illustrates principles with worked examples of possible applications.
  • Third edition emphasizes graphics, confidence intervals, and effect size measures.

AI-generated from the title and abstract; the full text is not read.

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.

The authors' abstract, as published at the source., 2013 · DOI ↗

TakeawaysPremium
Ask the paperFree account

Continue with a free account

Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.

Continue free on the web

Sign in with Google or Apple; no card needed. You come back to this paper.

On your phone:

Field: Computer Networks and Communications

Computer Networks and CommunicationsComputer Science