Multiple regression in psychological research and practice.

By Richard B. Darlington. 1968

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

To Log or Not to Log: Bootstrap as an Alternative to the Parametric Estimation of Moderation Effects in the Presence of Skewed Dependent Variables (2000, methodology): “All tests of interaction effects used moderated regression analysis (Bobko, 1995; Darlington, 1968; Saunders, 1955, 1956).”
The Interpersonal Power of Feminism: Is Feminism Good for Romantic Relationships? (2007, background): “…zero-order correlations between it and the criterion variable are weak (in this case, feminism and relationship health variables), but strengthened after accounting for a predictor variable that is related to both it and the criterion variable—in this case, partner’s feminism (Darlington 1968).”
RWA Web: A Free, Comprehensive, Web-Based, and User-Friendly Tool for Relative Weight Analyses (2014, background): “Alas, it is widely recognized (Darlington 1968) that multicollinearity makes the partitioning of variance among multiple correlated predictors difﬁcult.”
A Heuristic Method for Estimating the Relative Weight of Predictor Variables in Multiple Regression (2000, background): “Examples are the zero-order correlation between a predictor and the dependent variable, the product of the zero-order correlation and its associated standardized regression coefficient (Hoffman, 1960, 1962; Pratt, 1987), the increase in the squared multiple correlation that is associated with adding”
The Relationship of Group Process Variables and Team Performance (2002, methodology): “In addition, a usefulness analysis (Darlington, 1968) was performed on the three group process variables studied in Hypothesis 4 to determine whether each explained unique variance in the team performance measures (mental task performance, physical task performance, and commander team performance…”
A psychological contract perspective on organizational citizenship behavior (2002, methodology): “A usefulness analysis (Darlington, 1968) was conducted to examine the unique contribution of perceived employer obligations and employer inducements to predicting variance in the dependent variable.”
Effect Size Estimation: Factors to Consider and Mistakes to Avoid (2003, methodology): “For our purposes, it suffices to say that, although it would be desirable if a technique such as regression analysis enabled one to partition unique variance in the criterion variable to the various independent variables, most experts agree that there is no way to accurately do this (“It would be be”
The relative roles of engagement and embeddedness in predicting job performance and intention to leave (2008, methodology): “We conducted usefulness analysis (Darlington, 1968) to examine the unique contribution of engagement and embeddedness on performance and turnover intention.”
Fungible Weights in Multiple Regression (2008, background): “Numerous researchers have reminded us that coefficient size is an unreliable index of parameter importance in multiple regression (e.g., Budescu, 1993; Darlington, 1968; Green, Carroll, & DeSarbo, 1978; Gromping, 2007; Johnson, 2000).”
Perceived external prestige and internal respect: New insights into the organizational identification process (2006, methodology): “In order to facilitate a comparison with prior research (i.e. Tyler, 1999; Tyler & Blader, 2002), we utilized a form of regression analysis known as usefulness analysis (Darlington, 1968) to assess the relationships of the study variables with prestige and respect.”
A Review and Analysis of the Policy-Capturing Methodology in Organizational Research: Guidelines for Research and Practice (2002, background): “Indeed, a number of researchers have suggested that the precise measurement of cue importance (beta weights) is very difficult in the absence of orthogonality (Darlington, 1968).”
Use of Structure Coefficients in Published Multiple Regression Articles: β is not Enough (2001, background): “…(or alternatively rs of predictors with Y; see Pedhazur, 1997, pp. 899-900) must be interpreted in conjunction with the standardized weights when predictors are correlated (see Cooley & Lohnes, 1971, p. 55; Darlington, 1968; Thompson, 1997b; Thompson & Borrello, 1985; Thorndike, 1978, pp. 170-172).”
Risk perceptions of COVID-19 around the world (2020, background): “Although results from multiple regression models are informative on their own, scholars now frequently recommend to supplement regression analyses with additional indicators of variable importance (Darlington 1968; Tonidandel and LeBreton 2011).”
The dominance analysis approach for comparing predictors in multiple regression. (2003, methodology): “, Darlington, 1968) measure i XiY, which is the product of the standardized regression coefficient of the predictor and the predictor’s correlation with the criterion. The sum of this measure across all predictors is the multiple correlation coefficient; that is, ∑i 1 i XiY 2 YŶ. Recently, this meas”
Factors Affecting Relative Weights: The Influence of Sampling and Measurement Error (2004, methodology): “Rather than making assumptions about an underlying population distribution, the standard error is estimated on the basis of repeated random samples (with replacement) from a sample (Efron, 1979). Typically, between 500 and 1,000 such subsamples are taken, with the statistic of interest calculated wi”