Correlation and Regression: Principles and Applications for Industrial/Organizational Psychology and Management
Philip Bobko
Abstract
Philip Bobko
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.
Key concepts: Bivariate analysis, Segmented regression, Regression diagnostic, Polynomial regression, Regression analysis, Statistics, Simple linear regression, Standardized coefficient