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Short-term and long-term within-person variability in performance: An integrative model.

Authors: Amirali, Minbashian; Daniella, Luppino;

Short-term and long-term within-person variability in performance: An integrative model.

Abstract

Previous research on within-person variability in performance has largely examined short-term fluctuations and long-term changes in performance separately. The present study proposes a model-based on the cognitive-affective personality system meta--theory (Mischel & Shoda, 1995)--that integrates short-term and long-term performance variability within the 1 framework. Key propositions of the model include that short-term performance fluctuations are contingent on variability in situational cues and that situational cue-performance contingencies change over time. To test the propositions, performance data for 393 professional male tennis players were analyzed using hierarchical linear modeling. The results showed that 2 types of situational cues--resource allocation cues and task complexity--interact in complex ways to account for short-term performance variability. Moreover, as predicted, the contingency of performance on the situational cues changed over time, highlighting the importance of an integrated approach to short-term and long-term performance variability. The implications of these findings are discussed for studies of performance at work and practical applications that managers can employ to increase work performance. Furthermore, parallels are drawn with previous studies from the broader literature on dynamic job performance.

Related Organizations
Keywords

Adult, Male, Young Adult, Time Factors, Tennis, Task Performance and Analysis, Humans, Athletic Performance, Models, Psychological

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Top 10%
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