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This essay studies disconnections between the macrolevel societal problems of a state and more microlevel political alignments.

Using a dataset composed of macrolevel measures of state problems and microlevel responses to a 2008 election survey, this essay applies multilevel statistical models to explain the state-to-state variance between the states on anti-abortion and pro-gun sentiments. This analysis uncovers the macro- and microlevel factors that disconnect a state’s neglect-of-children indicators from its citizens’ sentiments about abortion, and the factors that disconnect a state’s crime indicators from its citizens’ sentiments about guns.

The initial associations between a state’s indicators of neglect of children and anti-abortion sentiments are explained by the state’s lower human development (HD) and social attributes, especially religious beliefs, which predict social conservatism. The initial associations between a state’s indicators of crime and incarcerations are also explained by a state’s lower HD and the social attributes, especially religious beliefs, which predict social conservatism. Considering both abortion and guns as key indicators of social conservatism, the voters’ political choices exhibit a moralistic axiological rationality rather than a more pragmatic instrumental rationality.

The moral absolutism associated with sentiments about abortion and guns suggests that social conservatism and authoritarianism are intertwined but separate conceptions, which have similar consequences and determinants. Both may be influenced by the same changes in social and educational policies, especially the quality of education.

This study contributes to the cognitive processes and expertise research in judgment and decision-making in auditing. It uses the levels-of-processing theory (Craik & Lockhart, 1972) to investigate the amount of auditor attention given to information during internal control documentation procedures, and the effect of this attention on internal control information acquisition and risk assessment. Based on levels-of-processing, the attention required to complete an internal control questionnaire (ICQ) is predicted to result in the acquisition of more internal control information than when a completed ICQ is reviewed. In addition, auditors who complete an ICQ should assess control risk more like experts’ than auditors, who review an ICQ completed by another individual. Results suggest that the audit seniors who completed an ICQ retained significantly more internal control information than audit seniors who reviewed an ICQ completed by another individual. This result held when separately examining the internal control strengths and weaknesses. In addition, audit seniors who completed an ICQ-assessed control risk at a level comparable to the control risk assessments of audit managers in the same firm.

Pew and Mavor (1998) called for an integrative representation of human behavior for use in models of individual combatants and organizations. Models with integrated representation of behavior have only been achieved at rudimentary levels according to those performing the studies (e.g. Pew & Mavor, 1998; Tulving, 2002) and those building the models (e.g. Warwick et al., 2002). This chapter will address aspects of cognitive performance that are important to incorporate into models of combat based on acceptance of theory, strength of empirical data, or for other reasons such as to bridge gaps where incomplete knowledge exists about cognitive behavior and performance. As a starting point, this chapter will assess which of Pew and Mavor’s recommendations are still appropriate as determined by a review of selected literature on cognition and its representation. We will also provide some review and extensions of key literature on cognition and modeling and suggest a way ahead to close the remaining gaps. Different aspects of cognition are described with recent findings, and most are followed by an example of how they have been represented in computer models or a discussion of challenges to their representation in modeling.