A Formal, Computational Theory of Multiple-Goal Pursuit: Integrating Goal-Choice and Goal-Striving Processes

• 成果类型: Article
• 署名作者: Vancouver, Jeffrey B.; Weinhardt, Justin M.; Schmidt, Aaron M.
• 署名单位: University System of Ohio; Ohio University; University of Minnesota System; University of Minnesota Twin Cities
• 刊物名称: JOURNAL OF APPLIED PSYCHOLOGY
• ISSN/ISSBN: 0021-9010
• DOI: 10.1037/a0020628
• 发表日期: 2010
• 页码: 985-1008
• 关键词: multiple goals; dynamic self-regulation; computational modeling; expectancy; decision making

摘要

Understanding the processes involved when pursuing multiple goals over time is a central question for motivational theorists. A dynamic, computational model integrating theories of goal striving and goal choice is presented to account for data emerging from Schmidt and DeShon's (2007) multiple-goal-pursuit protocol. The simulated results match the results reported in their study, including the finding that relative discrepancy from the goals positively predicted resource allocation early on but negatively predicted it toward the end of the session. Variance in parameters in the model also accounted for individual differences found in the data. Discussion focuses on the theoretical contribution of formally integrating elements of self-regulation theories, further empirical work needed to test the model, and further theoretical work needed to continue the integration process exemplified here.