Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

By Freda Kemp. 2003

2,884 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b626f7e7a10fc430915ed06d4c18feeceb1279b7

How researchers see this paper

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

In Artificial Intelligence

In Food Science

In Statistics and Probability

Citations in the corpus

A Study of Exchange and Emotions in Team Member Relationships (2008, methodology): “However, correlations higher than .40 at 1% significance level are valid for general interpretation (Cohen & Cohen, 1983; Jobson, 1991).”
Family, Classroom, and School Effects on Childrens Educational Outcomes in Latin America (2001, background): “This was necessary because of the extent of missing data on this variable, and its inclusion enabled us to replace the missing data on the daycare variable with its mean score, without biasing the estimate of the daycare effect (Cohen & Cohen, 1983).”
Predicting Burnout and Career Choice Satisfaction in Counseling Psychology Graduate Students (2009, methodology): “Cohen and Wills (1985), hierarchical multiple regression is the preferred analysis when studying social support as a moderator, a variable that alters the strength and/or direction of the relation between a predictor and an outcome variable (Baron & Kenny, 1986).”
Computational Tools for Probing Interactions in Multiple Linear Regression, Multilevel Modeling, and Latent Curve Analysis (2006, background): “Cohen and Cohen (1983) recommend choosing values at the mean of z and at 1 SD above and below the mean of z.”
How Hot Is Your Bottom Line? Linking Carbon and Financial Performance (2011, methodology): “We follow the approach suggested by Cohen and Cohen (1983) and illustrate the hypothesis for values (b) for the process-based CEP at one standard deviation below the mean (inferior process-based CEP; b = m – d), at the mean (b = m), and one standard deviation above the mean (superior process-based…”
Interaction of Cognitive Avoidance Coping and Stress in Predicting Depression/Anxiety (2000, methodology): “Following the recommendations of Cohen and Cohen (1983), we conducted a square-root transformation of these variables.”
Ecocentrism and anthropocentrism: Moral reasoning about ecological commons dilemmas (2001, methodology): “In order to examine the joint in£uences of internal environmental attitudes and the manipulated environmental information on the use of di¡erent moral reasoning types, hierarchical multiple linear regression was used (Cohen & Cohen, 1983).”
Effort, Performance, and Conscientiousness: An Agency Theory Perspective (2007, methodology): “We use hierarchical regression analysis (Cohen & Cohen, 1975) to test the hypotheses.”
A Prospective Test of the Hopelessness Theory of Depression in Adolescence (2001, methodology): “…symptoms from the BDi; APES, Adolescent Perceived Events Scale; HS, Hopelessness Scale. p .05 for correlations .12; p .001 for correlations .18. used a setwise hierarchical multiple regression procedure, analysis of partial variance (APV; Cohen & Cohen, 1983, pp. 402–422; Metalsky & Joiner, 1992).”
The benefits of being present: mindfulness and its role in psychological well-being. (2003, methodology): “To analyze change across the two time points, residualized change scores were calculated on each predictor and outcome variable (see Cohen & Cohen, 1983; Judd & Kenny, 1981).”
I Am, I Think I Can, and I Do: The Role of Personal Identity, Self-Efficacy, and Cross-Application of Experiences in Creativity at Work (2007, methodology): “We centered the data in order to minimize the possibility of multicollinearity that can occur when an interaction term is included in an equation (Cohen & Cohen, 1983).”
The neural correlates of placebo effects: a disruption account (2004, neutral): “4 This change is in the range of large effect sizes (r = 0.54) according to Cohen and Cohen (1983).”
Models of accuracy in repeated-measures designs (2008, methodology): “Another approach is to transform the accuracy data using an arcsine transformation to increase normality (e.g., Cohen & Cohen, 1983).”
The role of acceptance and job control in mental health, job satisfaction, and work performance. (2003, methodology): “Following Cohen and Cohen (1983), acceptance and job control scores were standardized, and the main effects for these variables were partialled from their product to create the interaction term.”
‘Similarity breeds liking’ revisited: The moderating role of commitment (2005, background): “Liking at time 1 was held constant to control for the possibility of regression to the mean (Cohen & Cohen, 1983).”
Decision Comprehensiveness and Corporate Entrepreneurship: The Moderating Role of Managerial Uncertainty Preferences and Environmental Dynamism (2009, methodology): “Given that the condition number is significantly less than 30, the rule of thumb described by Cohen et al. (2003), this further suggests that the pattern of correlations is unaffected by multicollinearity.”