Career Assessment and Counseling for STEM: A Critical Review

Career counselors must continually enhance their knowledge and skills to assist clients contemplating careers in science, technology, engineering, and mathematics (STEM). Therefore, the authors review STEM disciplines and theory‐driven strategies for assisting diverse individuals to explore, enter, and persist in STEM careers. Appropriate use of career assessments can contribute greatly to this effort. To identify available measures for STEM‐focused domains and constructs, the authors conducted a journal content analysis of stand‐alone STEM‐related career assessments from 1983 to 2016, identifying 39 articles with 153 measures. Notable results included the emergence of social cognitive theory and social cognitive career theory as prevailing frameworks for instrument development, a wide variety of disciplines and journals represented, an underrepresentation of minority samples, and untapped potential for cross‐discipline and researcher–practitioner collaboration. Useful strategies and resources for counselors and recommendations for enhancing career assessments and interventions are addressed.     

The quality and use of regulatory analysis in 2008

This article assesses the quality and apparent use of regulatory analysis for economically significant regulations proposed by federal agencies in 2008. A nine-member research team used a six-point (0-5) scale to evaluate regulatory analyses according to criteria drawn from Executive Order 12866 and Office of Management and Budget Circular A-4. Principal findings include: (1) the average quality of regulatory analysis, though not high, is somewhat better than previous regulatory scorecards have shown; (2) quality varies widely; (3) biggest strengths are accessibility and clarity; (4) biggest weaknesses are analysis of the systemic problem and retrospective analysis; (5) budget or "transfer" regulations usually receive low-quality analysis; (6) a minority of the regulations contain evidence that the agency used the analysis in significant decisions; (7) quality of analysis is positively correlated with the apparent use of the analysis in regulatory decisions; and (8) greater diffusion of best practices could significantly improve the overall quality of regulatory analysis.     

MODEL-ASSISTED HIGHER-ORDER CALIBRATION OF ESTIMATORS OF VARIANCE

In survey sampling, interest often centres on inference for the population total using information about an auxiliary variable. The variance of the estimator used plays a key role in such inference. This study develops a new set of higher‐order constraints for the calibration of estimators of variance for various estimators of the population total. The proposed strategy requires an appropriate model for describing the relationship between the response and auxiliary variable, and the variance of the auxiliary variable. It is therefore referred to as a model‐assisted approach. Several new estimators of variance, including the higher‐order calibration estimators of the variance of the ratio and regression estimators suggested by Singh, Horn & Yu and Sitter & Wu are special cases of the proposed technique. The paper presents and discusses the results of an empirical study to compare the performance of the proposed estimators and existing counterparts.     

Cognitive therapy and behavioural coping in the management of work-related stress: An intervention study

Transactional models of stress emphasize the importance of cognitive appraisal of potential stressors in the determination of the stress response. This appraisal can be modified by the use of techniques normally associated with cognitive therapy. The contribution of a specifically cognitive component when intervening in work-related stress has not been well evaluated to date. This research seeks to determine the effectiveness of stress management training in the treatment of the work-related effects of stress by comparing the role of modifying dysfunctional cognitions with the teaching of appropriate behavioural coping strategies. Participants were allocated to one of two intervention conditions or to a waiting list control group. Those in the intervention conditions received group stress management either with the focus on delivering cognitive therapy techniques or with the focus on behavioural coping skills. Measures of general health were taken at the beginning and end of intervention and at 3-month follow-up. Participants in the cognitive therapy groups who were reporting symptoms of general ill-health at the start of the intervention showed a significant improvement at follow-up. Cognitive therapy appears to have been an effective intervention in work-related stress. Those in the behavioural group showed a smaller but still clinically effective improvement. Results are discussed in terms of methodological issues and implications for future research. It is suggested that changes in cognitive appraisal may need to be developed.     

Outcome Expectancies and Risk Behaviors in Maltreated Adolescents

This study examined positive and negative outcome expectancies for risk behaviors, and their association with engagement in risk behaviors, in a sample of 149 maltreated adolescents. “Outcome Expectancies” are evaluative social cognitions about what will occur as a consequence of one's actions. Risk behaviors and outcome expectancies for substance use, sexual behavior, and delinquency were assessed. In all regression models, positive expectancies were significantly related to risk behaviors while negative expectancies, with one exception, were not significantly related. In three of four regression models, significant interactions were found between positive and negative expectancies in predicting risk behaviors. The nature of the interaction differed by type of risk behavior. Beyond demonstrating associations between outcome expectancies and risk behaviors in a maltreated sample, this paper contributes to the study of social information processing by demonstrating significant interactions between positive and negative expectancies.