Between- and within-person level motivational precursors associated with career exploration

Career exploration is a critical process for child and adolescent development leading people toward suitable work and developing a vocational identity. The present study examined the role of motivational precursors, namely work valences and personal agency beliefs, in explaining in-breadth and in-depth career exploration. Given the dynamic nature of motivation, we teased apart the between-person differences and within-person variabilities in motivational precursors to examine how they are independently associated with career exploration. Two hundred one high school students comprised the sample and were surveyed three consecutive years. Results revealed that work valences and agency beliefs were associated with career exploration at both the between- and within-person level. Further, when individuals exhibited greater level of agency beliefs and positive valences, they were more likely to exhibit more in-depth exploration one year later. Implications for career guidance are discussed.     

Do incompatible arguments cause extensive processing in the evaluation of arguments? The role of congruence between argument compatibility and argument quality

Previous studies have demonstrated that arguments incompatible with prior beliefs are subjected to more extensive refutational processing, scrutinized longer, and judged to be weaker than arguments compatible with prior beliefs. However, this study suggests whether extensive processing is implemented when evaluating arguments is not decided by argument compatibility, but by congruence between two evaluating tendencies elicited by both argument compatibility and argument quality. Consistent with this perspective, the results of two experiments show that relative to congruent arguments, participants judged arguments eliciting incongruent evaluating tendencies as less extreme in strength, spent more time, and felt more hesitant generating strength judgments for them. The results also show that it is mainly incongruent arguments, not congruent arguments, whose strength ratings were more closely associated with the perceived personal importance of the issue, which intensified the tendency to evaluate arguments depending on argument compatibility. These results suggest that it is the incongruity between argument compatibility and argument quality, and not simply the argument compatibility, that plays a more important role in activating an extensive processing in the evaluation of arguments.     

Suppressor Effects of Positive and Negative Religious Coping on Academic Burnout Among Korean Middle School Students

Statistical suppressor effects in prediction models can provide evidence of the interdependent relationship of independent variables. In this study, the suppressor effects of positive and negative religious coping on academic burnout were examined using longitudinal data. First, 388 middle school students reported their type of religion and use of positive and negative religious coping strategies. Four months later, they also reported their level of academic burnout. From structural equation modeling, significant suppressor effects were found among religious students. That is, the coefficients became larger when both positive and negative religious coping predicted academic burnout simultaneously, compared to when each religious coping predicted academic burnout alone. However, suppressor effects were not found among non-religious students.     

Moving in Parallel Toward a Modern Modeling Epistemology: Bayes Factors and Frequentist Modeling Methods

The Bayesian-frequentist debate typically portrays these statistical perspectives as opposing views. However, both Bayesian and frequentist statisticians have expanded their epistemological basis away from a singular focus on the null hypothesis, to a broader perspective involving the development and comparison of competing statistical/mathematical models. For frequentists, statistical developments such as structural equation modeling and multilevel modeling have facilitated this transition. For Bayesians, the Bayes factor has facilitated this transition. The Bayes factor is treated in articles within this issue of Multivariate Behavioral Research. The current presentation provides brief commentary on those articles and more extended discussion of the transition toward a modern modeling epistemology. In certain respects, Bayesians and frequentists share common goals.     

Regression Mixture Models: Does Modeling the Covariance Between Independent Variables and Latent Classes Improve the Results?

Regression mixture models are increasingly used as an exploratory approach to identify heterogeneity in the effects of a predictor on an outcome. In this simulation study, we tested the effects of violating an implicit assumption often made in these models; that is, independent variables in the model are not directly related to latent classes. Results indicate that the major risk of failing to model the relationship between predictor and latent class was an increase in the probability of selecting additional latent classes and biased class proportions. In addition, we tested whether regression mixture models can detect a piecewise relationship between a predictor and outcome. Results suggest that these models are able to detect piecewise relations but only when the relationship between the latent class and the predictor is included in model estimation. We illustrate the implications of making this assumption through a reanalysis of applied data examining heterogeneity in the effects of family resources on academic achievement. We compare previous results (which assumed no relation between independent variables and latent class) to the model where this assumption is lifted. Implications and analytic suggestions for conducting regression mixture based on these findings are noted.