Self-Interest, Symbolic Attitudes, and Support for Public Policy: A Multilevel Analysis

This paper examines the role of self-interest and symbolic attitudes as predictors of support for two domestic policy issues—guaranteed jobs and incomes and national health insurance—in the American National Election Survey (ANES) between 1972 and 2004. As was the case in 1976 when Sears, Lau, Tyler, and Allen (1980 ) first explored this topic, symbolic attitudes continue to be much more important predictors of policy attitudes than various indicators of self-interest over the 30 years we analyze. We explore this finding further to determine whether any individual/internal and external/contextual variables affect the magnitude of self-interest effects on policy support. Five possible internal moderators of self-interest effects are examined: (1) political knowledge, (2) issue publics, (3) political values, (4) social identifications, and (5) emotions, but none are found to boost the magnitude of the self-interest effect. However, we do find some evidence that contextual variables representing the social/information environment moderate the impact of self-interest on public opinion.     

Hierarchical single- and dual-process models of recognition memory

Recognition memory is commonly modeled as either a single, continuous process within the theory of signal detection, or with two-process models such as Yonelinas’ dual-process model. Previous attempts to determine which model provides a better account of the data have relied on fitting the models to data that are averaged over items. Because such averaging distorts conclusions, we develop and compare hierarchical versions of competing single and dual-process models that account for item variability. The dual-process model provides a superior account of a typical data set when models are compared with the deviance information criterion. Parameters of the dual-process model are highly correlated, however, suggesting that a single-process model may exist that can provide a better account of the data.     

Hierarchical Model of Generalized and Specific Vulnerabilities in Anxiety

This study evaluated a theoretical hierarchical relationship among the general anxiety vulnerability variable of neuroticism, the specific vulnerability variables of anxiety sensitivity and intolerance of uncertainty, and variables reflecting specific anxiety foci including panic symptoms, health anxiety, obsessive-compulsive symptoms and generalized anxiety/worry. Questionnaires assessing these variables were administered to a non-clinical sample of 91 first-year psychology students (64.8% women). Path analysis results were highly consistent with the hypothesized hierarchical model. Neuroticism was found to have a significant direct effect on both anxiety sensitivity and intolerance of uncertainty. Both neuroticism and anxiety sensitivity had direct significant effects on panic symptoms, neuroticism and intolerance of uncertainty both made significant direct contributions to the prediction of worry, and neuroticism made a significant direct contribution to the prediction of obsessive-compulsive symptoms. Contrary to the hypothesized model, anxiety sensitivity but not neuroticism uniquely predicted health anxiety. The results of this study provide initial empirical evidence for a hierarchical relationship among general and specific vulnerabilities, and specific anxiety manifestations.     

The development of functional and equivalence classes in high-functioning autistic children: the role of naming.

The development of functional and equivalence classes was studied in four high-functioning, preschool-aged autistic children. Initially, all subjects failed to demonstrate match-to-sample relations indicative of stimulus equivalence among two three-member classes of visual stimuli. Then, 2 subjects showed emergence of those relations after they were taught to assign the same name to all members in each class. Next, subjects were taught names for new stimuli outside the match-to-sample format. On subsequent match-to-sample tests, 2 subjects demonstrated untrained conditional relations among the stimuli given a common name. New, unnamed stimuli were then related via match-to-sample training to stimuli from sets of named stimuli. Tests for emergent conditional relations between the new unnamed stimuli and the named stimuli yielded positive results for 1 subject and somewhat mixed results for 3 subjects. Finally, without naming, 2 subjects developed stimulus equivalence among two new three-member classes of visual stimuli. These data suggest that naming may remediate failures to develop untrained conditional relations, some of which are indicative of stimulus equivalence.     

Indclas: A three-way hierarchical classes model

A three-way three-mode extension of De Boeck and Rosenberg's (1988) two-way two-mode hierarchical classes model is presented for the analysis of individual differences in binary object × attribute arrays. In line with the two-way hierarchical classes model, the three-way extension represents both the association relation among the three modes and the set-theoretical relations among the elements of each model. An algorithm for fitting the model is presented and evaluated in a simulation study. The model is illustrated with data on psychiatric diagnosis. Finally, the relation between the model and extant models for three-way data is discussed.The research reported in this paper was partially supported by NATO (Grant CRG.921321 to Iven Van Mechelen and Seymour Rosenberg).