2013
DOI: 10.2458/jmm.v4i1.17761
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Revisiting Mediation in the Social and Behavioral Sciences

Abstract: The process of mediation is of critical importance to the social and behavioral sciences and to evolutionary social psychology in particular. As with the concept of evolutionary adaptation, however, one can argue that causal mediation is in need of explicit theoretical justification and empirical support. Mainstream evolutionary social psychology proposes, for example, that organisms are “adaptation executers”, and not “fitness maximizers”. The execution of adaptations is triggered by fitness-relevant ecologic… Show more

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Cited by 9 publications
(6 citation statements)
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“…Type I sums of squares (sequential sums of squares; SAS Institute, Inc., 2002) were estimated for each predictor variable, and then used to test each predictor for statistical significance. Sequential sums of squares give predictor variables a hierarchical order of preference, whereby the first variable is allowed to “predict” the criterion variable, with each successive variable predicting the residual sums of squares left over from the prior variables and only retained if they increase the model sums of squares by a statistically significant amount (see Cohen & Cohen, 1983; Figueredo, Garcia, Cabeza de Baca, Gable, & Weise, 2013 for a brief explanation of Type I sequential sums of squares). In other words, sequential sums of squares estimate the significance of each predictor variable predicting the criterion, after the prior variable has predicted the criterion variable.…”
Section: Resultsmentioning
confidence: 99%
“…Type I sums of squares (sequential sums of squares; SAS Institute, Inc., 2002) were estimated for each predictor variable, and then used to test each predictor for statistical significance. Sequential sums of squares give predictor variables a hierarchical order of preference, whereby the first variable is allowed to “predict” the criterion variable, with each successive variable predicting the residual sums of squares left over from the prior variables and only retained if they increase the model sums of squares by a statistically significant amount (see Cohen & Cohen, 1983; Figueredo, Garcia, Cabeza de Baca, Gable, & Weise, 2013 for a brief explanation of Type I sequential sums of squares). In other words, sequential sums of squares estimate the significance of each predictor variable predicting the criterion, after the prior variable has predicted the criterion variable.…”
Section: Resultsmentioning
confidence: 99%
“… 47 Therefore, we assumed that emotional intelligence could be a potential mediator between dimensions of personality according to the Big Five Model, and gratitude (Hypothesis 3). Although there are well-established dilemmas with the implementation of cross-sectional mediation analyses to gather evidence for causal processes, 48 , 49 mediation models are useful with strong prior theoretical justification and empirical support 50 for the relationships between the independent variables, dependent variable, and mediator. In the following section, we have attempted to provide the main rationale that regards the crucial assumption of the temporal precedence in the mediational scheme.…”
Section: Introductionmentioning
confidence: 99%
“…Nonetheless, this potential issue can be compensated by our sample size. Moreover, the Sobel test can suggest the presence of an indirect effect but does not provide the magnitude of the indirect effect (Figueredo et al, 2013). We used the product of the coefficients method to calculate the magnitude of the indirect effect.…”
Section: Discussionmentioning
confidence: 99%