Psychometric characteristics of Chicano and non-Hispanic White children's performance on the preschool inventory

Two studies are reported that independently examined the psychometric characteristics of children's performance on the Preschool Inventory. The sample in Study I consisted of 100 Chicano children tested longitudinally at ages $\text{3}\text{1}\text{2}$ and 4 years. The sample in Study II consisted of 200 Chicano and non-Hispanic White children matched on mothers' schooling level in a cross-sectional design involving two age levels—prekindergarten-age children and children enrolled in kindergarten. Comparisons were made by ethnic group, sex, and age level with regard to item characteristics, internal-consistency reliabilities, test—retest stability, standard errors of measurement, validity, and performance level. Comparisons also were made between the psychometric characteristics of the Chicano children's performance on the Preschool Inventory and the psychometric characteristics reportedly by other investigators for the same instrument administered to children of other ethnic, socioeconomic, and sociolinguistic backgrounds. The results provide impressive evidence of the Preschool Inventory's psychometric strengths and demonstrate that the examined psychometric characteristics of the Preschool Inventory are as exemplary when the test is administered to Chicano children as they are exemplary when it is administered to children of other ethnic backgrounds. Certain limitations of the Preschool Inventory are identified. Recommendations are made regarding possible avenues for future test development efforts.     

Values,preferences, needs,work ethics,and orientations to work: Toward a conceptual and empirical integration

There have been comparatively few attempts on either the conceptual or empirical level to integrate values, preferences, needs, work ethics, and orientations to work. A rationale outlining the way these concepts can be related to each other, is presented. It is maintained that these concepts are categories of relations between humans and work. These categories are qualitatively similar and differ principally in the level of generality of the characteristics of work considered. Complete-link cluster analysis is suggested as a method of analysis compatible with the proffered rationale. Two studies are presented with data gathered during the development of two versions of Work Aspect Preference Scale (WAPS). The samples for the two studies both comprised senior high school students, controlled for sex and age, who were administered the WAPS. Study 1 had a sample of 532 while Study 2 had a sample size of 482. Both sets of data were cluster analyzed. Results indicated a very substantial amount of agreement between the two samples, particularly at the more general levels of clustering. The bipartite and tripartite groupings of vocational needs suggested by L. H. Lofquist and R. V. Dawis (Journal of Vocational Behavior, 1978, 12, 12–19) were confirmed as were the findings of J. Mortimer (Sociology of Work and Occupations, 1975, 2, 29–53). Other clusters were also identified with findings from previous research. It is concluded that the investigation of preferences at different levels of generality and the interrelation between these levels shows great promise for both the researcher and the counselor and therefore merits more research effort.     

Visual and verbal modes of information processing and their relation to the effectiveness of cognitively-based anxiety-reduction techniques

This study examined the interaction between preferred modes of information processing (visual and verbal) and two cognitively-based anxiety-reduction techniques. One technique was based on the use of images as a coping strategy while the other employed a self-instructional approach. Thirty-six subjects reporting high levels of dental fear were assigned to one of three groups (two types of treatment and a no-treatment control). One-half of the subjects in each group had been identified as preferring the visual mode of information processing while for the other half the verbal mode was preferred. After treatment, subjects viewed an anxiety-inducing videotape depicting a visit to the dentist. Results indicated that, while both treatments were significantly effective in reducing self-reports of discomfort while viewing the videotape, there was no significant interaction between the type of treatment and preferred cognitive mode. The results were interpreted as indicating that treatment may override individual cognitive styles. Furthermore, the data suggested that the normal individual has the ability to adapt to divergent and non-preferred forms of information processing.     

A negativity bias in interpersonal evaluation

Two studies were conducted to demonstrate a bias toward negativity in evaluations of persons or their work in particular social circumstances. In Study 1, subjects evaluated materials written by peers. Those working under conditions that placed them in low status relative to the audience for their evaluations, or conditions that made their intellectual position within a group insecure, showed a clear bias toward negativity in those evaluations. Only individuals who believed their audience to be of relatively low status and at the same time believed their intellectual position to be secure did not show this bias. In Study 2, subjects viewed a videotape of a stimulus person and rated him on several intellectual and social dimensions. Again, subjects believed their audience to be of either relatively high or relatively low status. As a cross dimension, they were given instructions to focus on either the intellectual or the social abilities of the stimulus person while viewing the videotape. A strong main effect of audience status was demonstrated, but only in ratings of intellectual traits; subjects who believed their audience to be of relatively high status rated the stimulus person's intellectual qualities significantly more negatively. Moreover, this effect was independent of the instructional focus subjects had been given. The negativity bias is discussed in the context of previous demonstrations of biases toward weighting negative information more heavily than positive information, as well as previous demonstrations of seemingly pervasive positivity biases in memory and judgment.     

The advantages of mathematical modeling over traditional methods in the analysis of category clustering

A mathematical model for the analysis of category clustering is developed and testd. The model, which can be applied to categories of any size, is an extension of a two-item statistical model developed by Batchelder and Riefer (Psychological Review, 1980, 87, 375–397), and is equivalent to their model when categories consist of two items. The model is based on a current theory of clustering which postulates that the learning of a list of category items occurs on different hierarchical levels. Two category list-learning experiments are presented, and the data from these experiments are analyzed using the general statistical model. The first experiment reveals that the probabilities of storing and retrieving a cluster increase with category size, while the learning of items as singletons decreases. The effects of within-category spacing indicate that the storage of clusters decreases while cluster retrievability increases with an increase in input spacing. In the second experiment, the storage and retrieval of clusters are shown to be unaffected by whether the presentation of items is uncued or cued with the name of the category. However, the association of items decreases and the learning of items as singletons increases with uncued presentation. In the final sections, the general statistical model is compared to other methods for the measurement of category clustering. The model is shown to be superior to numerical indices of clustering, since these measures are not based on any theory of clustering, and because unitary measures cannot capture the multiprocess nature of categorized recall. The model is also argued to have certain advantages over other mathematical models that have been applied to category clustering, since these models cannot account for situations in which a portion of the items are clustered while others are learned singularly.     

Counting eliminates the repetition effect in judgments of temporal duration.

College student subjects estimated the duration of time intervals (8–54 sec) by counting or not (N=35 per group). Counting eliminated the repetition effect (a decline in the magnitude of estimations across trials), and resulted in a truncation of the psychophysical function. The former result was interpreted as contrary to Treisman's (1963) model. The latter result was attributed to the effortfulness of counting, which was established in a subsequent experiment.