The plausibility of alternative data-generating mechanisms: Comment on and attempt at replication of Dishop (2022).

Dishop (see record 2022-78260-001) identifies the consensus emergence model (CEM) as a useful tool for future research on emergence but argues that autoregressive models with positive autoregressive effects are an important alternative data-generating mechanism that researchers need to rule out. Here, we acknowledge that alternative data-generating mechanisms are possibility for most, if not all, nonexperimental designs and appreciate Dishop's attempts to identify cases where the CEM could provide misleading results. However, in a series of independent simulations, we were unable to replicate two of three key analyses, and the results for the third analysis did not support the earlier conclusions. The discrepancies appear to originate from Dishop's simulation code and what appear to be inconsistent model specifications that neither simulate the models described in the article nor include notable positive autoregressive effects. We contribute to the wider literature by suggesting four key criteria that researchers can apply to evaluate the possibility of alternative data-generating mechanisms: Theory, parameter recovery, fit to real data, and context. Applied to autoregressive effects and emergence data, these criteria reveal that (a) theory in psychology would generally suggest negative instead of positive autoregressive effects for behavior, (b) it is challenging to recover true autoregressive parameters from simulated data, and (c) that real data sets across a number of different contexts show little to no evidence for autoregressive effects. Instead, our analyses suggest that CEM results are congruent with the temporal changes occurring within groups and that autoregressive effects do not lead to spurious CEM results. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Understanding the Leaders of Tomorrow: The Need to Study Leadership in Adolescence.

Leadership traits and behaviors are observed early in human development, and although an improved understanding of youth leadership would usefully inform many real-world contexts (e.g., education, parenting, policy), most empirical work on leadership has been limited to adult populations. The purpose of the current article is to add a developmental perspective to leadership research that has so far been absent. Here, we (a) highlight adolescence as a critical developmental period for leadership emergence and development, (b) argue that leadership among youths is poorly understood and critically understudied, (c) provide exemplars of synergy between research on leadership and adolescent development that are ripe for focused inquiry, and (d) underscore some of the positive consequences of accelerating empirical research on leadership in adolescence, including implications for a deeper understanding of leadership in adult working populations.

Stressor reflections, sleep, and psychological well-being: A pre-registered experimental test of self-distanced versus self-immersed reflections.

Evidence supports the effectiveness of cuing people to analyse negative autobiographical experiences from self-distanced rather than self-immersed perspectives. However, the evidence on which this expectation resides is limited largely to static snapshots of mean levels of cognitive and emotional factors. Via a pre-registered, randomised controlled trial (N = 257), we examined the differential effectiveness of self-distanced relative to self-immersed reflections on mean levels and within-person variability of sleep duration and quality as well as psychological well-being over a 5-day working week. Except for sleep quality, we found that reflecting from a psychologically distanced perspective, overall, was no more effective for mean levels and within-person variability of sleep duration, well-being, and stress-related factors than when the current self is fully immersed in the experiential reality of the event. We consider several substantive and methodological considerations (e.g., dosage, salience of stressor event) that require interrogation in future research via experimental and longitudinal observational methods.

Go-around accidents and general aviation safety.

INTRODUCTION: Changes in General Aviation (GA) accident rates, specifically in the go-around phase, are examined by comparing the number of accidents, the proportion of fatal accidents, and the proportion of certain causes of accidents over time. METHODS: Two sets of accidents from 2000 to 2004 and from 2013 to 2017 were extracted from the National Transportation Safety Board (NTSB) online database. RESULTS: Although the total number of GA accidents per landing significantly decreased over time, the proportion of fatal accidents in the go-around phase increased. Fatalities most often occurred in instrument meteorological conditions. CONCLUSION: Advances in technology and training show improvements in GA accident rates, but not for accidents in the go-around phase. PRACTICAL APPLICATIONS: Scenario-based learning is recommended to include specific instruction concerning the timing of go-around procedures in unstable flights.

Best research practices for using the Implicit Association Test.

Interest in unintended discrimination that can result from implicit attitudes and stereotypes (implicit biases) has stimulated many research investigations. Much of this research has used the Implicit Association Test (IAT) to measure association strengths that are presumed to underlie implicit biases. It had been more than a decade since the last published treatment of recommended best practices for research using IAT measures. After an initial draft by the first author, and continuing through three subsequent drafts, the 22 authors and 14 commenters contributed extensively to refining the selection and description of recommendation-worthy research practices. Individual judgments of agreement or disagreement were provided by 29 of the 36 authors and commenters. Of the 21 recommended practices for conducting research with IAT measures presented in this article, all but two were endorsed by 90% or more of those who felt knowledgeable enough to express agreement or disagreement; only 4% of the totality of judgments expressed disagreement. For two practices that were retained despite more than two judgments of disagreement (four for one, five for the other), the bases for those disagreements are described in presenting the recommendations. The article additionally provides recommendations for how to report procedures of IAT measures in empirical articles.

Work event experiences: Implications of an expanded taxonomy for understanding daily well-being.

This article builds on earlier research on work events and uses a recently developed taxonomy of situation perceptions-the CAPTION taxonomy-to study daily work events. The authors specifically test the ideas that the specific affective event dimensions A (Adversity) and O (humOr), and cognitive and typicality dimensions-I (Importance), C (Complexity), and T (Typicality)-contribute to explaining daily well-being beyond P (Positive valence) and N (Negative valence). Study 1 included N = 242 employees who filled in a diary over 5 workdays, and Study 2 included a total of 295 employees in an experience sampling design. Results from multilevel confirmatory factor analyses with events nested in persons and days nested in persons suggested that a seven-dimension model-in line with the CAPTION taxonomy-improved model fit. Multilevel structural equation modeling further revealed that the additional dimensions contributed to explaining well-being after work (Study 1) and well-being at work (Study 2) at both the between- and the within-person level. These effects were in particular driven by the A (Adversity) and O (humOr) dimensions. The authors discuss to what degree a multidimensional perspective on situation perceptions can improve occupational health researchers' understanding of work events as drivers of well-being at work. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

From microscopic to macroscopic perspectives and back: The study of leadership and health/well-being.

This special issue introduces a set of papers that contribute to research on leadership and health/well-being from multiple perspectives. To situate these papers in current research debates, this introduction to the special issue provides an overview of research on leadership and health/well-being by using a microscope-macroscope perspective as an organizing framework. The microscope-macroscope organizing framework highlights that a comprehensive understanding of leadership and well-being requires researchers to consider multiple perspectives, including those of leaders and followers, embedded in their context and time. It encourages researchers to transcend more narrow input-process-output perspectives that are typically adopted when studying leadership and health/well-being. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Cognitive control strategies and adaptive performance in a complex work task.

Adapting to task changes in work settings frequently calls not only for shifting one's thoughts and behaviors to the new demands, but also for dealing with outdated knowledge and skills. This article focuses on the role of control strategies in task adaptation and reports two experimental studies using an air traffic control simulation task. In both studies (N = 66 and 105 with k = 1,320 and 1,680 observations, respectively), all participants first learned and performed an initial version of the task then received instruction about control strategies, performed an altered version of the task with new execution rules, and finally worked on a memory test. Participants were instructed to either deliberately forget the old rules, remember the old rules, or simply learn the new task (Study 2 only). Results from discontinuous growth curve modeling revealed that the directed forgetting in both studies and the control group in Study 2 showed higher performance in the simulation after the change relative to their performance before the change (transition adaptation). There were no relearning differences between the groups suggesting that these differences persisted throughout the task. However, the memory test at the end of the study revealed that the directed forgetting groups and the learning control group remembered less outdated task execution rules in the memory test after the simulation than the remembering group. The findings suggest that different types of cognitive strategies have costs and benefits. Conceptual and practical implications of these findings are discussed. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Stop Thinking: An Experience Sampling Study on Suppressing Distractive Thoughts at Work.

In modern work environments, it can be difficult for workers to avoid becoming distracted from their current task. This study investigates person-situation interactions to predict thought control activities (kind of self-control), which aim to stop distracting thoughts that enter the mind. Specifically, it was examined (1) how challenging work demands (time pressure, task complexity) activate workers' thought control to stop distractive thoughts (n level 2 = 143) and relate to the effort to do so (n level 2 = 91) in daily working life and (2) how these relationships differ according workers' general cognitive ability to suppress unwanted thoughts. To understand these person-situation interactions, an experience sampling study was combined with a laboratory task assessing the ability to suppress unwanted thoughts (think/no-think task). Multilevel modeling revealed that workers' engage more often and more intensively in thought control activities at a moderate level of time pressure but only when they had a higher general ability to suppress unwanted thoughts. For workers with a lower ability to suppress unwanted thoughts, increasing time pressure was negatively related to thought control activities, even at very low levels of time pressure. Thus, whether time pressure activates or hinders thought control depends on individuals' ability to suppress distractive thoughts.

General mental ability and specific abilities: Their relative importance for extrinsic career success.

Recent research on the role of general mental ability (GMA) and specific abilities in work-related outcomes has shown that the results differ depending on the theoretical and conceptual approach that researchers use. While earlier research has typically assumed that GMA causes the specific abilities and has thus used incremental validity analysis, more recent research has explored the implications of treating GMA and specific abilities as equals (differing only in breadth and not subordination) and has used relative importance analysis. In this article, we extend this work to the prediction of extrinsic career success operationalized as pay, income, and the attainment of jobs with high prestige. Results, based on a large national sample, revealed that GMA and specific abilities measured in school were good predictors of job prestige measured after 11 years, pay measured after 11 years, and income 51 years later toward the end of the participants' work lives. With 1 exception, GMA was a dominant predictor in incremental validity analyses. However, in relative importance analyses, the majority of the explained variance was explained by specific abilities, and GMA was not more important than single specific abilities in relative importance analyses. Visuospatial, verbal, and mathematical abilities all had substantial variance shares and were also more important than GMA in some of the analyses. Implications for the interpretation of cognitive ability data and facilitating people's success in their careers are discussed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Situational judgement tests for selection: Traditional vs construct-driven approaches.

CONTEXT: Historically, situational judgement tests (SJTs) have been widely used for personnel selection. Their use in medical selection in Europe is growing, with plans for further expansion into North America and Australasia, in an attempt to measure and select on 'non-academic' personal attributes. However, there is a lack of clarity regarding what such tests actually measure and how they should be designed, scored and implemented within the medical and health education selection process. In particular, the theoretical basis from which such tests are developed will determine the scoring options available, influencing their psychometric properties and, ultimately, their validity. METHODS: The aim of this article is to create an awareness of the previous theory and practice that has informed SJT development. We describe the emerging interest in the use of the SJT format to measure specific constructs (eg 'resilience', 'dependability', etc.), drawing on the tradition of 'individual differences' psychology. We compare and contrast this newer 'construct-driven' method with the traditional, pragmatic approach to SJT creation, often employed by organisational psychologists. Making reference to measurement theory, we highlight how the anticipated psychometric properties of traditional vs construct-driven SJTs are likely to differ. CONCLUSIONS: Compared to traditional SJTs, construct-driven SJTs have a strong theoretical basis, are uni- rather than multidimensional, and may behave more like personality self-report instruments. Emerging evidence also suggests that construct-driven SJTs have comparable predictive validity for workplace performance, although they may be more prone to 'faking' effects. It is possible that construct-driven approaches prove more appropriate at early stages of medical selection, where candidates have little or no health care work experience. Conversely, traditional SJTs may be more suitable for specialty recruitment, where a range of hypothetical workplace scenarios can be sampled in assessments.

Commenting on the "Great Debate": General Abilities, Specific Abilities, and the Tools of the Trade.

We review papers in the special issue regarding the great debate on general and specific abilities. Papers in the special issue either provided an empirical examination of the debate using a uniform dataset or they provided a debate commentary. Themes that run through the papers and that are discussed further here are that: (1) the importance of general and specific ability predictors will largely depend on the outcome to be predicted, (2) the effectiveness of both general and specific predictors will largely depend on the quality and breadth of how the manifest indicators are measured, and (3) research on general and specific ability predictors is alive and well and more research is warranted. We conclude by providing a review of potentially fruitful areas of future research.

Can people recognize their implicit thoughts? The motive self-categorization test.

Psychologists have long been interested in studying individual differences in implicit motives. Implicit motives are typically measured asking respondents to write fantasy-stories based on a series of pictures showing one or several persons. The stories are then coded for implicit motivational content by trained experts because researchers have long assumed that respondents have no conscious access to the motivational themes in the stories they write. However, empirical research on self-evaluation of implicit motives is scarce. In this article, we provide new insights into this topic with a new measurement procedure-the motive self-categorization (MSC) test. In the MSC, respondents first fill out an implicit motive measure and then self-code their stories using lists of picture-specific statements that are typical concrete manifestations of implicit motives in the specific picture. We studied the MSC in a sample of 247 respondents by analyzing convergence with expert codings using a latent multitrait-multimethod item response theory (IRT) model. Results showed respondents could evaluate the motivational content of their stories (latent motive-motive rs = .37-.62), IRT latent motive scores based on self-categorization showed evidence of reliability (rs = .42-.67), and we found small method effects. The discussion focuses on implications for theory on measuring implicit motives and the possibility that self-insight occasionally goes beyond expert insight. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Assessing meaningful within-person variability in Likert-scale rated personality descriptions: An IRT tree approach.

Personality researchers and clinical psychologists have long been interested in within-person variability in a given personality trait. Two critical methodological challenges that stymie current research on within-person variability are separating meaningful within-person variability from (a) true differences in trait level; and (b) careless responding (or person unreliability). To partly avoid these issues, personality researchers commonly only study within-person variability in personality states over time using the standard deviation (SD) across repeated measurements of the same items (typically across days)-a relatively resource-intensive approach. In this article, we detail an approach that allows researchers to measure another type of within-person variability. The described approach utilizes item-response theory (IRT) on the basis of Böckenholt's (2012) three-process model, and extracts a meaningful variability score from Likert-ratings of personality descriptions that is distinct from directional (trait) responding. Two studies (N = 577; N = 120-235) suggest that IRT variability generalizes across traits, has high split-half reliability, is not highly correlated with established indices of IRT person unreliability for directional trait responding, and correlates with within-person SDs from personality inventories and within-person SDs in a diary study with repeated measurements across days 20 months later. The implications and usefulness of IRT variability from personality descriptions as a conceptually clarified, efficient, and feasible assessment of within-person variability in personality ratings are discussed. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

A correlated traits, correlated methods model for thin-slice child personality assessment.

Recent research has illustrated the utility and accuracy of a thin-slice (TS) approach to child personality assessment, whereby unacquainted observers provide personality ratings of children after exposure to brief behavioral episodes. The current study sought to expand on this approach by exploring formal multitrait-multimethod (MTMM) models for child TS data comprising ratings from a comprehensive set of TS situations. Results using data from a sample of 326 community children 9-10 years of age indicated that a correlated traits, correlated methods (CTCM) model can be used to represent individual differences in children's behavior as manifest across different situations. Indicator variables derived from a CTCM differentially correlated with traditional parental ratings of behavior, moreover, and provide predictive and incremental validity regarding child competencies and behavior. Results illustrate the utility of a TS approach in the assessment of childhood personality and inform understanding of issues encountered in applying different MTMM models to these types of empirical data. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Improving the Assessment of Implicit Motives Using IRT: Cultural Differences and Differential Item Functioning.

Researchers have long been interested in studying differences in implicit motive between different groups. Implicit motives are typically measured by scoring text that respondents have written in response to picture cues. Recently, research on the measurement of implicit motives has made progress through the application of a dynamic Thurstonian item-response theory model (DTM; Lang, 2014 ) that captures 2 basic motivational processes in motivational research: motive competition and dynamic reduction of motive strength after a motive has been acted out. In this article, the authors use the DTM to investigate differential item functioning (DIF) in implicit motive measures. The article first discusses DIF in the context of the DTM. The authors then conduct a DIF analysis of data from a study that used a picture set of the Operant Motive Test (OMT; Kuhl & Scheffer, 2002) with participants from Cameroon, Germany, and Costa Rica. Results showed no evidence of DIF in 9 pictures and some evidence for DIF in 3 pictures. The authors show a partial invariance model can be specified and use this partial invariance model to study latent mean differences between Cameroon, Germany, and Costa Rica. The discussion focuses on the use of IRT DIF methods in future research on implicit motives.

Leaders' achievement goals predict employee burnout above and beyond employees' own achievement goals.

OBJECTIVE: Burnout has primarily been examined from an individual's perspective without taking the broader environmental context into account. The authors applied an integrative, multilevel perspective and investigated the influence of leaders' motivational strivings on employee burnout. In two multisource studies, we investigated relationships between leaders' achievement goals and employee burnout while controlling for employees' own achievement goals. METHOD: Study 1 consisted of 362 members and 72 leaders of the corresponding working groups. Study 2 consisted of 177 employees and 46 leaders of the corresponding working groups, and measurements were spaced apart in time. We also ran a model including the data of both Study 1 and Study 2. RESULTS: Multilevel analyses indicated that leaders' mastery-approach goals were negatively related to employee burnout above and beyond employees' own achievement goals. Leaders' performance-approach goals were positively related to employee burnout in Study 1 and in the overall analysis combining Study 1 and Study 2. CONCLUSIONS: We advance our understanding of the motivational etiology of burnout by examining the top-down effects of leaders' achievement goals on employee burnout over and above employees' own achievement goals. In order to reduce burnout, organizations should take leaders' achievement goals into account as an important contextual factor.

The predictive power of people's intraindividual variability across situations: Implementing whole trait theory in assessment.

In the last decade, there has been increased recognition that traits refer not only to between-person differences but also to meaningful within-person variability across situations (i.e., whole trait theory). So far, this broader more contemporary trait conceptualization has made few inroads into assessment practices. Therefore, this study focuses on the assessment and predictive power of people's intraindividual variability across situations. In three studies (either in student or employee samples), both test-takers' mean trait scores and the variability of their responses across multiple written job-related situations of a situational judgment test (SJT) were assessed. Results revealed that people's intraindividual variability (a) was related to their self-rated functional flexibility, (b) predicted performance above their mean scores, and (c) predicted their actual personality state variability over 10 days. These results open opportunities for complementing traditional selection procedures with more dynamic indices in assessment. (PsycINFO Database Record

The Great Debate: General Ability and Specific Abilities in the Prediction of Important Outcomes.

The relative value of specific versus general cognitive abilities for the prediction of practical outcomes has been debated since the inception of modern intelligence theorizing and testing. This editorial introduces a special issue dedicated to exploring this ongoing "great debate". It provides an overview of the debate, explains the motivation for the special issue and two types of submissions solicited, and briefly illustrates how differing conceptualizations of cognitive abilities demand different analytic strategies for predicting criteria, and that these different strategies can yield conflicting findings about the real-world importance of general versus specific abilities.

Specific Abilities in the Workplace: More Important Than g?

A frequently reported finding is that general mental ability (GMA) is the best single psychological predictor of job performance. Furthermore, specific abilities often add little incremental validity beyond GMA, suggesting that they are not useful for predicting job performance criteria once general intelligence is accounted for. We review these findings and their historical background, along with different approaches to studying the relative influence of g and narrower abilities. Then, we discuss several recent studies that used relative importance analysis to study this relative influence and that found that specific abilities are equally good, and sometimes better, predictors of work performance than GMA. We conclude by discussing the implications of these findings and sketching future areas for research.