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Although social class is an important construct throughout the social sciences, it has received only minimal attention in the industrial-organizational psychology, organizational behavior, and human resource management literatures. As a result, little is known regarding the potential role of social class in the work and career context. The present study examines the role of social class during the job search process. We integrate self-regulation and social class perspectives to hypothesize ways social class may influence job search antecedents, behaviors, and outcomes. Analysis of longitudinal data from new job entrants (N = 516) indicated that job seekers from lower social classes possess lower job search self-efficacy, lower perceived social support, and higher perceived financial hardship compared with those from higher social classes. Further, results suggest that through the mechanism of lower self-efficacy, lower social class job seekers display lower job search intensity. Finally, one indicator of social class-parental income-was positively related to job acceptance rate, a hazard outcome that reflected whether and how quickly participants accepted a job. In contrast, subjective social class was negatively related to job acceptance rate. Overall, the present findings suggest that social class plays a multifaceted role in the job search process and, thus, warrants more attention within this and other areas of organizational research. (PsycInfo Database Record (c) 2021 APA, all rights reserved).Screening measures are used in psychology and medicine to identify respondents who are high or low on a construct. Based on the screening, the evaluator assigns respondents to classes corresponding to different courses of action Make a diagnosis versus reject a diagnosis; provide services versus withhold services; or conduct further assessment versus conclude the assessment process. When measures are used to classify individuals, it is important that the decisions be consistent and equitable across groups. Ideally, if respondents completed the screening measure repeatedly in quick succession, they would be consistently assigned into the same class each time. In addition, the consistency of the classification should be unrelated to the respondents' background characteristics, such as sex, race, or ethnicity (i.e., the measure is free of measurement bias). Reporting estimates of classification consistency is a common practice in educational testing, but there has been limited application of these estimates to screening in psychology and medicine. In this article, we present two procedures based on item response theory that are used (a) to estimate the classification consistency of a screening measure and (b) to evaluate how classification consistency is impacted by measurement bias across respondent groups. We provide R functions to conduct the procedures, illustrate the procedures with real data, and use Monte Carlo simulations to guide their appropriate use. Finally, we discuss how estimates of classification consistency can help assessment specialists make more informed decisions on the use of a screening measure with protected groups (e.g., groups defined by gender, race, or ethnicity). (PsycInfo Database Record (c) 2021 APA, all rights reserved).Measurement limitations lessen the conclusions about the role of the alliance in youth psychosocial treatment. This article examined the score reliability, factor structure, and validity of the 9-item Therapy Process Observational Coding System for Child Psychotherapy-Alliance scale (TPOCS-A). The sample, 51 youth aged 7-15 years (Mage = 10.36 years, SD = 1.90; 86.3% White; 60.8% male, 39.2% female), met diagnostic criteria for a principal anxiety disorder and received cognitive-behavioral therapy. Treatment sessions (N = 463) were coded by independent coders using the TPOCS-A along with observational measures of treatment adherence and therapist competence. check details Youth and therapists also completed self-report alliance measures at the end of each session. Reliability estimates, ICC(2,2), at the item level indicated a mean interrater reliability of .68 (SD = .10) and a mean coder stability of .64 (SD = .11). An exploratory factor analysis identified a one-factor solution with five items. TPOCS-A scores evidenced convergent validity with the therapist and adolescent reports of alliance but did not converge with the child-report alliance measure. TPOCS-A scores evidenced discriminant validity when compared with scores on adherence and competence measures. The reliability and validity profile of the 9- and 5-item versions of the TPOCS-A were similar. Overall, findings support the reliability and validity of the TPOCS-A scores, but questions remain about how best to assess the alliance with children. (PsycInfo Database Record (c) 2021 APA, all rights reserved).When deciding where to invest, individuals choose mutual funds based on recent past performance, despite standard mandated disclaimers that "past performance does not guarantee future results." Investors would receive better long-term returns by choosing funds with lower fees. We explored the impact of fees and past performance on realistic mutual fund selections across three preregistered repeated-choice experiments (N = 1,600), while manipulating the presence of disclaimers between participants. Participants persistently chased past performance despite the opportunity to learn about the futility of this strategy during 60 repeated decisions with feedback. The standard regulatory-mandated disclaimer did not help most participants, compared to giving no advice at all, and was even counter-productive for participants with low levels of financial literacy. An alternative disclaimer that explicitly highlighted the advantages of fee minimization reliably helped participants. We show how individuals who lack both financial literacy and prior investment experience are the most susceptible to making poor mutual fund choices and can benefit the most from behavioral interventions such as the new disclaimer tested here. We discuss how these results generalize into real-world investment decisions, and how to design more efficient disclaimers that can be used beyond investment choices. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
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