2012
DOI: 10.1111/j.1744-6570.2012.01255.x
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Members Matter in Team Training: Multilevel and Longitudinal Relationships Between Goal Orientation, Self‐Regulation, and Team Outcomes

Abstract: Longitudinal data from 338 individuals across 64 teams in a simulationbased team-training context were used to examine the effects of dispositional goal orientation on self-regulated learning (self-efficacy and metacognition). Team goal orientation compositions, as reflected by average goal orientations of team members, were examined for moderating effects on these individual-level relationships. Finally, individual-level self-regulation was investigated for its influence on multiple team-level outcomes across… Show more

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Cited by 51 publications
(75 citation statements)
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References 84 publications
(155 reference statements)
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“…There is some validity in the argument that this adds to the neglect of time at the methodological level, but it must also be said that the W&O Psychology field has been rather slow in picking up methods such as time series analysis, survival analysis, or growth analysis, used in adjacent fields of science. In recent years, we are seeing some change, as W&O Psychology researchers are becoming more aware of multilevel issues and are incorporating time as a level in multilevel structures (e.g., Dierdorff & Ellington, 2012;Quigley, 2013). Although encouraging, it should be noted that this approach (within-person data nested in person level) offers only limited possibilities to analyze time.…”
Section: Level In Multilevel Designsmentioning
confidence: 95%
See 1 more Smart Citation
“…There is some validity in the argument that this adds to the neglect of time at the methodological level, but it must also be said that the W&O Psychology field has been rather slow in picking up methods such as time series analysis, survival analysis, or growth analysis, used in adjacent fields of science. In recent years, we are seeing some change, as W&O Psychology researchers are becoming more aware of multilevel issues and are incorporating time as a level in multilevel structures (e.g., Dierdorff & Ellington, 2012;Quigley, 2013). Although encouraging, it should be noted that this approach (within-person data nested in person level) offers only limited possibilities to analyze time.…”
Section: Level In Multilevel Designsmentioning
confidence: 95%
“…Here, time serves as a factor in a before-after experimental design or a longitudinal design that covers multiple measurement time moments (e.g., Beal & Ghandour, 2011;Vancouver, Thompson, Tischner, & Putka, 2002). A pure time variable -measured within individuals -is also used in studies with multi-level or panel designs (Dierdorff & Ellington, 2012), as well as in historic studies describing long-term trends (e.g., Hofmann, Jacobs, & Baratta, 1993).…”
Section: A 'Variable' View Of Timementioning
confidence: 99%
“…Although there is substantial evidence from between-subjects studies indicating that learning goal orientation is related to selfregulation, research examining whether and how LGO relates to within-subject self-regulation over time is scarce (Dierdorff & Ellington, 2012). This is an important gap in the literature as self-regulation is a dynamic, within-individual process.…”
Section: Learning Goal Orientationmentioning
confidence: 97%
“…The limited evidence to date suggests, however, that LGO is not related to performance trajectories over time (Chen & Mathieu, 2008;Yeo & Neal, 2004), but is related to changes in self-regulation over time (Dierdorff & Ellington, 2012). Dierdorff and Ellington (2012) called for additional research examining whether learning goal orientation influences intra-individual self-regulation. We address that call by examining whether and how between-subjects differences in job search learning goal orientation moderate within-subject job search processes.…”
Section: Learning Goal Orientationmentioning
confidence: 98%
“…Independence of the variables is not assumed in multilevel analyses (Dierdorff & Ellington, 2012), making this a more suitable technique than ordinary least squares (Snijders & Bosker, 1994).…”
Section: Strategies Of Analysismentioning
confidence: 99%