An examination of the self-referent executive processing model of test anxiety: control, emotional regulation, self-handicapping, and examination performance

According to the self-referent executive processing (S-REF) model, test anxiety develops from interactions between three systems: executive self-regulation processes, self-beliefs, and maladaptive situational interactions. Studies have tended to examine one system at a time, often in conjunction with how test anxiety relates to achievement outcomes. The aim of this study was to enable a more thorough test of the S-REF model by examining one key construct from each of these systems simultaneously. These were control (a self-belief construct), emotional regulation through suppression and reappraisal (an executive process), and self-handicapping (a maladaptive situational interaction). Relations were examined from control, emotional regulation, and self-handicapping to cognitive test anxiety (worry), and subsequent examination performance on a high-stakes test. Data were collected from 273 participants in their final year of secondary education. A structural equation model showed that higher control was indirectly related to better examination performance through lower worry, higher reappraisal was indirectly related to worse examination performance through higher worry, and higher self-handicapping was related to worse examination performance through lower control and higher worry. These findings suggest that increasing control and reducing self-handicapping would be key foci for test anxiety interventions to incorporate. © 2018 The Author(s

Confirmation of models for interpretation and use of the Social and Academic Behavior Risk Screener (SABRS).

The purpose of this investigation was to evaluate the models for interpretation and use that serve as the foundation of an interpretation/use argument for the Social and Academic Behavior Risk Screener (SABRS). The SABRS was completed by 34 teachers with regard to 488 students in a Midwestern high school during the winter portion of the academic year. Confirmatory factor analysis supported interpretation of SABRS data, suggesting the fit of a bifactor model specifying 1 broad factor (General Behavior) and 2 narrow factors (Social Behavior [SB] and Academic Behavior [AB]). The interpretive model was further supported by analyses indicative of the internal consistency and interrater reliability of scores from each factor. In addition, latent profile analyses indicated the adequate fit of the proposed 4-profile SABRS model for use. When cross-referenced with SABRS cut scores identified via previous work, results revealed students could be categorized as (a) not at-risk on both SB and AB, (b) at-risk on SB but not on AB, (c) at-risk on AB but not on SB, or (d) at-risk on both SB and AB. Taken together, results contribute to growing evidence supporting the SABRS within universal screening. Limitations, implications for practice, and future directions for research are discussed herein