Overestimation of base-rate differences in complex perceptual categories

The optimality of multidimensional perceptual categorization performance was examined for several base-rate ratios, for both integral and separable dimension stimuli, and for complex category structures. In all cases, the optimal decision bound was highly nonlinear. Observers completed several experimental sessions, and all analyses were performed at the single-observer level using a series of nested models derived from decision-bound theory (Maddox, 1995; Maddox & Ashby, 1993). In every condition, all observers were found to be sensitive to the base-rate manipulations, but the majority of observers appeared to overestimate the base-rate difference. These findings converge with those for cases in which the optimal decision bound was linear (Maddox, 1995) and suggest that base-rates are learned in a similar fashion regardless of the complexity of the optimal decision bound. Possible explanations for the consistent overestimate of the base-rate difference are discussed. Several continuous-valued analogues of Kruschke’s (1996) theory of base-rate learning with discrete-valued stimuli were tested. These models found some support, but in all cases were outperformed by a version of decision-bound theory that assumed accurate knowledge of the category structure and an overestimate of the base-rate difference.     

The five factor model of personality: Openness a distinct but related construct

It has been argued that the Openness (O) dimension from the five factor model (FFM) of personality may in fact be an associate of the ability domain more than the personality domain. This paper explores this hypothesis using a sample of 101 managers. Participants completed the NEO-FFI and a measure of ability assessing the construct as typical performance. This measure was an occupational specific measure of typical intellectual engagement (TIE), termed the “problem solving through challenge” PSC scale. A combination of LISREL CFA and hierarchical multiple linear regression (HMLR) indicated that in fact O was a distinct but related construct to the other four dimensions of the FFM (N, E, A and C), but that O was more strongly correlated with PSC than the other dimensions. These results are taken to indicate that O, while associated with personality, assesses something to do with problem solving as a personality trait. Further the results suggest that E linked O to the other personality scales.     

OPEN ENVIRONMENT DESIGN FOR INFANT AND TODDLER DAY CARE

Group care settings for dependent people must be organized to facilitate delivery of responsive care and to prevent inadvertant neglect or deliberate abuse. Accordingly, in an infant and a toddler day-care center, an open environment was examined as a means to increase the visibility of children to staff and of staff-child interactions to the supervisor, and to investigate potential adverse effects of the open environment on infants' and toddlers' activities. These studies demonstrated that: (1) an open environment markedly decreased the amount of time a child could not be seen by any adult and the amount of time staff members' activities were not visible to the supervisor, and markedly reduced the effort required to supervise those who were not immediately visible; (2) an open environment did not adversely affect the sleep of either infants or toddlers; and (3) an open environment is as conducive to small group pre-academic activities with toddlers as is a separate room. These studies convinced us that infant and toddler day care can and should be accomplished in an open environment.     

The concept of parsimony in factor analysis

The concept of parsimony in factor analysis is discussed. Arguments are advanced to show that this concept bears an analogic relationship to entropy in statistical mechanics and information in communication theory. A formal explication of the term parsimony is proposed which suggests approaches to the final resolution of the rotational problem. This paper provides the rationale underlying Carroll's (2) analytical solution for approximating simple structure, and the solutions of Saunders (7) and Neuhaus and Wrigley (5).     

What Triggers Anger in Everyday Life? Links to the Intensity,Control, and Regulation of These Emotions,and Personality Traits

Why do people experience anger? Most of our knowledge on anger‐triggering events is based on the study of reactions at a single time point in a person's life. Little research has examined how people experience anger in their daily life over time. In this study, we conducted a comprehensive examination of the situational determinants of anger over the course of 3 weeks. Using daily diary methodology, people (N = 173; 2,342 anger episodes) reported their most intense daily anger and, with an open‐ended format, described the trigger. Participants also answered questions on anger intensity, control, and regulatory strategies, along with baseline personality trait measures. Using an iterative coding system, five anger trigger categories emerged: other people, psychological and physical distress, intrapersonal demands, environment, and diffuse/undifferentiated/unknown. Compared with other triggers, when anger was provoked by other people or when the source was unknown, there was a stronger positive association with anger intensity and lack of control. Personality traits (i.e., anger, mindfulness, psychological need satisfaction, the Big Five) showed few links to the experience and regulation of daily anger. Although aversive events often spur anger, the correlates and consequences of anger differ depending on the source of aversion; personality traits offer minimal value in predicting anger in daily life.