Use Research Methodologies That Can Assess and Model the Relationships of Psychological Variables

As conveyed in this chapter and in emerging scholarship, the PMT model has demonstrated promise in providing a more refined account of adaptive behaviour (Grothmann and Reusswig 2006). Scholarship in this area can be furthered by efforts to assess the PMT variables with psychological measures. The strength of psychological measures lies in their ability to assess individual perspectives, attitudes, and emotions with in ways that are not possible with demographic or broader sociological variables. Understanding adaptive behaviour more fully requires getting inside the heads of the people who are faced with adaptive or risky choices; psychological measures uniquely afford this perspective. Finally, analytical approaches such as structural equation modeling or growth curve analysis that can represent the simultaneous contributions of variables and the relationships among them, as shown in the PMT and the risk-as-feelings approach, holds promise in moving the field ahead in further understanding adaptive behaviour.

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