Reciprocal associations between executive function and academic achievement: A conceptual replication of Schmitt et al. (2017)

The goal of the current study was to conduct a conceptual replication of the reciprocal associations between executive function (EF) and academic achievement reported in Schmitt et al. (2017, https://doi.org/10.1037/edu0000193). Using two independent samples (N (STAR) = 279, and N (Pathways) = 277), we examined whether the patterns of associations between EF and achievement across preschool and kindergarten reported in Schmitt et al. (2017) replicated using the same model specifications, similar EF and achievement measures, and across a similar developmental age period. Consistent with original findings, EF predicted subsequent math achievement in both samples. Specifically, in the STAR sample, EF predicted math achievement from preschool to kindergarten, and kindergarten to first grade. In the Pathways sample, EF at kindergarten predicted both math and literacy achievement in first grade. However, contrary to the original findings, we were unable to replicate the bidirectional associations between math achievement and EF in either of the replication samples. Overall, the current conceptual replication has revealed that bidirectional associations between EF and academic skills might not be robust to slight differences in EF measures and number of measurement occasions, which has implications for our understanding of the development EF and academic skills across early childhood. The present findings underscore the need for more standardization in both measurement and modeling approaches – without which the inconsistency of findings in published studies may continue across this area of research.

A Two-Wave Study On The Associations Of Burnout With Depression And Anxiety: The Mediating And Moderating Role Of Perceived Family Support

Studies have shown strong associations between burnout and depression and burnout and anxiety but their exact interrelationships still remain unclear. Few studies have examined the psychosocial mechanisms that might underlie these two relationships. Non-work social factors such as perceived family support can affect mental health. The present study investigated the distinctiveness and the reciprocal associations between burnout and depression, and burnout and anxiety by collecting data twice over an 8 month interval. Perceived family support was examined as a mediating and a moderating factor underlying the two relationships. The Maslach Burnout Inventory-General Survey, the Hospital Depression and Anxiety Scale, and the Julkunen Family Support Scale were administered to employees of the general working population ( N = 52). First, our results revealed moderate associations between burnout and depression, and burnout and anxiety, supporting the distinctiveness of burnout from the two psychological phenomena. Second, the exhaustion and cynicism burnout dimensions showed reciprocal associations with depression. Moreover, anxiety was found to be a consequence of cynicism while it presented reciprocal associations with the exhaustion dimension of burnout. Perceived family support did not mediate the burnout-depression and burnout-anxiety relationships. However, it moderated the depression-exhaustion relationship in a direction opposite from our hypothesis.

Changes in Size and Interpretation of Parameter Estimates in Within-Person Models in the Presence of Time-Invariant and Time-Varying Covariates

For several decades, cross-lagged panel models (CLPM) have been the dominant statistical model in relationship research for investigating reciprocal associations between two (or more) constructs over time. However, recent methodological research has questioned the frequent usage of the CLPM because, amongst other things, the model commingles within-person associations with between-person associations, while most developmental research questions pertain to within-person processes. Furthermore, the model presumes that there are no third variables that confound the relationships between the longitudinally assessed variables. Therefore, the usage of alternative models such as the Random-Intercept Cross-Lagged Panel Model (RI-CLPM) or the Latent Curve Model with Structured Residuals (LCM-SR) has been suggested. These models separate between-person from within-person variation and they also control for time constant covariates. However, there might also be third variables that are not stable but rather change across time and that can confound the relationships between the variables studied in these models. In the present article, we explain the differences between the two types of confounders and investigate how they affect the parameter estimates of within-person models such as the RI-CLPM and the LCM-SR.

Bullying Perpetration, Moral Disengagement and Need for Popularity: Examining Reciprocal Associations in Adolescence

Precursors and consequences of bullying have been widely explored, but much remains unclear about the association of moral and motivational factors. This study examined longitudinal associations between need for popularity, moral disengagement, and bullying perpetration. A total of 3017 participants, aged 11 to 16 years in wave 1 (49% girls; Mage = 13.15, SD = 1.09), were surveyed across four waves with six-month intervals. At the between-person level, cross-lagged modeling revealed a positive bidirectional association between moral disengagement and need for popularity; bullying perpetration was predicted by both need for popularity and moral disengagement. From the within-person level, random intercept cross-lagged analyses revealed that need for popularity predicted both moral disengagement and bullying perpetration. The results highlight the interplay between motivational and moral mechanisms that underlies bullying behavior.

Reciprocal associations between executive function and academic achievement: A conceptual replication of Schmitt et al. (2017)

The goal of the current study was to conduct a conceptual replication of the reciprocal associations between executive function (EF) and academic achievement reported in Schmitt et al. (2017). Using two independent samples (N (STAR) = 279, and N (Pathways) = 277), we examined whether the patterns of associations between EF and achievement across preschool and kindergarten reported in Schmitt et al. (2017) replicated using the same model specifications, similar EF and achievement measures, and across a similar developmental age period. Consistent with original findings, EF predicted subsequent math achievement in both samples. Specifically, in the STAR sample, EF predicted math achievement from preschool to kindergarten, and kindergarten to first grade. In the Pathways sample, EF at kindergarten predicted both math and literacy achievement in first grade. However, contrary to the original findings, we were unable to replicate the bidirectional associations between math achievement and EF in either of the replication samples. Overall, the current conceptual replication has revealed that bidirectional associations between EF and academic skills might not be robust to slight differences in EF measures and number of measurement occasions, which has implications for our understanding of the development EF and academic skills across early childhood. The present findings underscore the need for more standardization in both measurement and modeling approaches – without which the inconsistency of findings in published studies may continue across this area of research.