Illusion in a three-dimensional Hering figure in relation to viewing distance

Two groups of 34 Ss each judged the amount of illusion in a three-dimensional Hering figure at three viewing distances (9, 18, and 36 ft). The horizontal bars could be located in the foremost frontal plane of the three-dimensional display or could be recessed within it. Group C-F began at the close distance and Group F-C at the furthest distance. Amount of illusion increased with viewing distance and was greater with the bars recessed within the display. At the furthest distance, but not at the other distances, amount of illusion was greater for Group F-C. The results confirm predictions from Gregory’s theory of primary constancy scaling but are also interpretable in terms of local effects at the intersections of parallel bars and background lines.     

Socially desirable responding and the factorial stability of the NEO PI-R

The goal of the present investigation is to compare the factor structure of the revised NEO Personality Inventory (NEO PI-R; P. T. Costa & R. R. McCrae, 1992) in samples of respondents differentially motivated to respond in a socially desirable manner. In the French sample, the authors compared the NEO PI-R structure of job applicants (N=12,631) subgrouped by relative degree of socially desirable responding with that of a normative sample (N=801). In the Belgian sample, the authors compared the NEO PI-R structure in naturally occurring groups, including job applicants (N=3,028), individuals receiving career counseling (N=221), and a normative sample (N=549). Results indicate that the NEO PI-R factor structure remained stable across all samples.     

Trait aggressiveness and situational provocation: a test of the traits as situational sensitivities (TASS) model

In this article, the authors propose and test an interactionist model of personality functioning. The model maintains that many traits function in a threshold-like manner, such that less situational strength is needed to evoke a trait-relevant response in people who are high on the trait than in those who are low on the trait. Because of these different sensitivities, people who are high on a trait are more reactive to moderate provocation than are those who are low on a trait, but the opposite is true when strong provocation is compared to moderate provocation. Three studies are reported showing how the model can be used to understand the nature of aggression.     

Lacking <Emphasis Type="Italic">lack</Emphasis>: a reply to Joldersma

First I would like to thank Clarence Joldersma for his review of our Poststructuralism, Philosophy, Pedagogy (Marshall, 2004-PPP). In particular, I would thank him for his opening sentence: “[t]his book is a response to a lack.” It is the notion of a lack, noted again later in his review, which I wish to take up mainly in this response. Rather than defending or elaborating our particular contributions to PPP—the latter would be a great indignity to my colleagues as I would not write over them—I will take the opportunity to develop the theme of a lack, as I believe that Joldersma has raised a very important issue. But first I will respond briefly to some of Joldersma’s general and opening statements about the book, and my philosophical position in particular.

Affect optimization and affect complexity: modes and styles of regulation in adulthood

In this research, the authors hypothesize that affect regulation involves 2 independent strategies: affect optimization, the tendency to constrain affect to positive values, and affect complexity, the amplification of affect in the search for differentiation and objectivity. Community residents age 15 to 86 were assessed by using 2 convergent measurement domains: 1 based on measures of positive-negative affect and cognitive-affective complexity and 1 based on measures of coping and defense. Both domains yielded the hypothesized affect optimization and affect complexity dimensions. As predicted, the affect optimization dimensions are primarily related to relationship quality variables, and the affect complexity dimensions to socioeconomic status and education. Hence, positive affect and its maximization have different significance in the context of high- or low-affect complexity.