2001Unpublished venueRequires access

Correlation and Regression: Applications for Industrial Organizational Psychology and Management

Philip Bobko

Open publisher page 122 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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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 122 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, Statistics, Polynomial regression, Regression analysis, Standardized coefficient, Simple linear regression

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