Among the many work (and life) characteristics of relevance to adult development and aging, various forms of control are some of the most extensively and diversely studied. Indeed, "control," whether objectively held (i.e., "actual" control), perceived, or enacted through self-regulation, is a concept central to our understanding of person-environment interactions, development, and well-being within and across life domains. However, variability in conceptualization and analysis in the literature on control presents challenges to integration. To partially address these gaps, the present study sought to explore the effects of conceptual and analytical specification decisions (e.g., construct types, time, covariates) on observed control-well-being relationships in a large, age-diverse, longitudinal sample (Midlife in the United States I, II, and III datasets), providing a specification curve analysis (SCA) tutorial and guidance in the process. Results suggest that construct types and operationalizations, particularly predictor variables, have bearing on observed results, with certain types of control serving as better predictors of various forms of well-being than others. These findings and identified gaps are summarized to provide direction for theoretical clarification and reconciliation in the control and lifespan development literatures, construct selection and operationalization in future aging and work research, and inclusive, well-specified interventions to improve employee well-being.
Keywords: Aging; Control; Lifespan development; Specification curve; Well-being.
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