2016
DOI: 10.17265/1537-1514/2016.01.001
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The Use of Longitudinal Mediation Models for Testing Causal Effects and Measuring Direct and Indirect Effects

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Cited by 9 publications
(6 citation statements)
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“…The mediation of perceived self-efficacy shows that the effect of daily stress on mental health is modified through selfappraisal and interpretation processes. Considering an important prerequisite for mediation analyses (Turnes & Ernst, 2016), we assessed the variables across a period of two years in three measurements. This extends previous cross-sectional research on the mediation effect of self-efficacy (Scho¨nfeld et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
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“…The mediation of perceived self-efficacy shows that the effect of daily stress on mental health is modified through selfappraisal and interpretation processes. Considering an important prerequisite for mediation analyses (Turnes & Ernst, 2016), we assessed the variables across a period of two years in three measurements. This extends previous cross-sectional research on the mediation effect of self-efficacy (Scho¨nfeld et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…This allows the assumption whether the measures of the constructs, that is, the hypothesized model, are consistent with the data in order to ensure that the instruments we used assess the same constructs at three different points in time. As recommended by Turnes and Ernst (2016) we, second, estimated total, direct, and indirect effects in longitudinal mediation models using three waves of measurement and two time intervals in order to elucidate of how the process of effects causes future outcomes. Reducing the unbiased estimations in the parameters of cross-sectional data, this analysis enables the estimation of changes at the interindividual level (Selig & Preacher, 2009).…”
Section: Present Studymentioning
confidence: 99%
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“…When we selected subcortical structural regions to be included in the mediation analyses, we set the cutoff for significance with p < 0.05. To examine the mediation effect of subcortical structure on the association of PiB or lacunes with cognitive function, we performed linear mixed effects modeling instead of structural equation models or path analysis because mediators (subcortical structure), independent variables (PiB SUVR/number of lacune), and outcome (cognitive scores) were longitudinal data ( 34 , 35 ). The model was composed of 3 steps.…”
Section: Methodsmentioning
confidence: 99%
“…Other researchers may, therefore, consider the mediating effect between PU, PEU, the selected independent variables and dependent variables of this study in a longitudinal study. As argued by Turnes and Ernst (2016) and Jose (2016), a mediating effect is better hypothesized in a longitudinal study to avoid the ambiguity that may be associated with results of running mediation with concurrent data as the longitudinal study would enable the researchers to track changes that occur in the intention and behavior of users over time. To achieve robust analyses of the implementation of e-learning at the national level, future studies should randomly select private universities from the six geopolitical zones in Nigeria.…”
Section: Conclusion Limitations and Future Researchmentioning
confidence: 99%