Turning up by Turning Over: The Change of Scenery Effect in Major League Baseball

Purpose

This study examined a “change of scenery” effect on performance in major league baseball (MLB). We also tested this effect for voluntary versus involuntary employee departures, as well as employees returning to a past employer.

Design/Methodology/Approach

This study uses publicly available MLB performance data from 2004 to 2015. The data comprise 712 team changes for players following two consecutive years with the same organization. Data were analyzed using MANCOVA to assess the impact of changing teams on player performance.

Findings

Results indicate players with declining performance benefited significantly from a change of scenery. Following a team change, these players experienced a significant increase in their performance that remained stable through a subsequent season. The effect was not different for players who changed teams via trade and free agency and was modest for those returning to a past organization. Analysis also showed that players leaving while their performance was improving suffered a subsequent performance drop-off in the new organization.

Implications

As the war for talent escalates and employees change jobs more frequently, extending our understanding of how performance can be influenced by work context may provide new insight into organization staffing policies.

Originality/Value

Results extend field theory by highlighting how past performance interacts with new work contexts to influence performance. This is one of the few studies evaluating the job change-performance relationship, and perhaps the first to account for the effects of performance trends prior to exit.

     

Beyond Positivist Ecology: Toward an Integrated Ecological Ethics

A post-positivist understanding of ecological science and the call for an “ecological ethic” indicate the need for a radically new approach to evaluating environmental change. The positivist view of science cannot capture the essence of environmental sciences because the recent work of “reflexive” ecological modelers shows that this requires a reconceptualization of the way in which values and ecological models interact in scientific process. Reflexive modelers are ecological modelers who believe it is appropriate for ecologists to examine the motives for their choices in developing models; this self-reflexive approach opens the door to a new way of integrating values into public discourse and to a more comprehensive approach to evaluating ecological change. This reflexive building of ecological models is introduced through the transformative simile of Aldo Leopold, which shows that learning to “think like a mountain” involves a shift in both ecological modeling and in values and responsibility. An adequate, interdisciplinary approach to ecological valuation, requires a re-framing of the evaluation questions in entirely new ways, i.e., a review of the current status of interdisciplinary value theory with respect to ecological values reveals that neither of the widely accepted theories of environmental value—neither economic utilitarianism nor intrinsic value theory (environmental ethics)—provides a foundation for an ecologically sensitive evaluation process. Thus, a new, ecologically sensitive, and more comprehensive approach to evaluating ecological change would include an examination of the metaphors that motivate the models used to describe environmental change.

Development and validation of discriminant functions for the Strong Interest Inventory

This study compared the relative accuracy of (a) single Occupational Scale (OS) scores on the Strong Interest Inventory (SII) and (b) multiple-predictor scoring functions for discriminating members of nine occupations from people-in-general. The functions were constructed using discriminant function analysis with 4797 adults drawn from criterion samples for the 1985 SII. The analyses included Basic Interest Scale (BIS) scores only or combinations of OSs and BISs. Two subsequent analyses, one of which was cross-validation using 1302 young adults with little work experience, also were conducted. Results indicated that BIS-only functions yielded hit rates comparable to single OSs, and functions that combined OSs and BISs generally produced slight improvements in accuracy. These findings are potentially relevant for future SII scale development decisions.     

Preliminary Evidence for Associations of CHRM2 with Substance Use and Disinhibition in Adolescence

Evidence for shared heritable influences across domains of substance use suggests that some genetic variants influence broad risk for externalizing behaviors. Theories of externalizing psychopathology also suggest that genetic liability for substance use manifests as temperamental risk factors, particularly those related to behavioral disinhibition, during adolescence. The cholinergic muscarinic receptor 2 gene (CHRM2) is a promising candidate for studying genetic influences on broad-based risk for externalizing traits. This study examined a candidate CHRM2 polymorphism (rs1455858) in relation to substance use and personality measures of disinhibition in a sample of high-risk adolescents (n?=?124). Bivariate analyses and structural equation modeling (SEM) evaluated associations of rs1455858 with measures of drug involvement (alcohol, tobacco and marijuana) and disinhibition (indexed by impulsivity and sensation seeking scores). Bivariate analyses showed significant associations of CHRM2 with several behavioral phenotypes. In SEM analyses CHRM2 related significantly to latent measures of substance use and disinhibition; additionally, disinhibition mediated the association of CHRM2 with substance use. These results suggest that CHRM2 variants are potentially relevant for adolescent substance use and that temperamental risk factors could contribute to these associations.     

Calling and work-related outcomes: Career commitment as a mediator

The current study tested the hypothesis that experiencing a calling to a particular career would relate positively to work-related outcomes, and that these relations would be mediated by career commitment. Using a sample of 370 employees representing diverse occupations at a Western research university, results supported these hypotheses as calling moderately correlated with career commitment, job satisfaction, and organizational commitment and weakly correlated with withdrawal intentions. Career commitment was found to fully mediate the calling–job satisfaction relation, partially mediate the calling–organizational commitment relation, and act as a suppressor in the relation between calling and withdrawal intentions; calling was associated with somewhat greater withdrawal intentions once a person's level of career commitment was taken into consideration. These results suggest that career commitment may represent a critical link between calling and work-related well-being. Implications for research and practice are explored.     

Cognitive load modulates attentional capture by color singletons during effortful visual search

Color singletons that are irrelevant to locating a visual target do not typically capture attention if visual search is effortful. In contrast, when search is efficient color singletons are often found to capture attention. Such distraction by a color singleton can be modulated by single-task vs. dual-task manipulations when visual search is efficient. This is due, presumably, to the increased cognitive load in the dual-task condition, which interferes with top-down attentional control. This study investigated whether capture by a color singleton is also modulated by single-task vs. dual-task manipulations when visual search was effortful. The results of three experiments revealed that attentional capture effects were absent in a single-task condition and were present in a dual-task condition, but only when the identity of the color singleton is not associated with the target response-set. When the identity of the color singleton was relevant to the response-set it captured attention in both the single-task and in dual-task conditions.     

Editorial overview: Analytic and methodological innovations for suicide‐focused research

This editorial overview provides an introduction to the Suicide and Life‐Threatening Behaviors Special Issue: “Analytic and Methodological Innovations for Suicide‐Focused Research.” We outline several challenges faced by modern suicidologists, such as the need to integrate different analytical and methodological techniques from other fields with the unique data problems in suicide research. Therefore, the overall aim of this issue was to provide up‐to‐date methodological and analytical guidelines, recommendations, and considerations when conducting suicide‐focused research. The articles herein present this information in an accessible way for researchers/clinicians and do not require a comprehensive background in quantitative methods. We introduce the topics covered in this special issue, which include how to conduct power analyses using simulations, work with large data sets, use experimental therapeutics, and choose covariates, as well as open science considerations, decision‐making models, ordinal regression, machine learning, network analysis, and measurement considerations. Many of the topics covered in this issue provide step‐by‐step walkthroughs using worked examples with the accompanied code in free statistical programs (i.e., R). It is our hope that these articles provide suicidologists with valuable information and strategies that can help overcome some of the past limitations of suicide research, and improve the methodological rigor of our field.