1995Unpublished venueRequires access

Correlation and Regression: Principles and Applications for Industrial/Organizational Psychology and Management

Philip Bobko

Open publisher page 88 citations

Abstract

An introduction, an overview and some reminders a review of the correlation coefficient and its properties testing correlations for statistical significance applications of Pearson correlation to measurement theory range restriction simple, two-variable regression three applications of bivariate regression - utility analysis, regression to the mean, partial correlation multiple (mostly trivariate) regression expanding the regression repertoire - polynomial and interaction terms more about regression, and beyond.

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What this paper is about

An introduction, an overview and some reminders a review of the correlation coefficient and its properties testing correlations for statistical significance applications of Pearson correlation to measurement theory range restriction simple, two-variable regression three applications of bivariate regression - utility analysis, regression to the mean, partial correlation multiple (mostly trivariate) regression expanding the regression repertoire - polynomial and interaction terms more about regression, and beyond.

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OpenAlex reports 88 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

An introduction, an overview and some reminders a review of the correlation coefficient and its properties testing correlations for statistical significance applications of Pearson correlation to measurement theory range restriction simple, two-variable regression three applications of bivariate regression - utility analysis, regression to the mean, partial correlation multiple (mostly trivariate) regression expanding the regression repertoire - polynomial and interaction terms more about regression, and beyond.

Key concepts: Bivariate analysis, Segmented regression, Regression diagnostic, Polynomial regression, Regression analysis, Statistics, Simple linear regression, Standardized coefficient

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