Normal and Exceptional Children's Attitudes Toward Themselves and one Another

In this study 65 junior high school boys and girls (54 normal and 11 exceptional children) evaluated themselves most favorably, normal children as a group less favorably, and exceptional children as a group least favorably of all on the Personal Attribute Inventory for Children. This was so regardless of whether the respondents were normal or exceptional children. Since data were collected from mainstreamed classrooms, it appears that mainstreaming may not be directly deleterious to exceptional children's self-concepts, but has associated with it a negative stigma for exceptional children as a group for both exceptional and normal children. These findings, plus others reported previously, fail to demonstrate that mainstreaming in its present form may be an elixir for exceptional children's social-emotional difficulties.     

Modeling Time-Dependent Association in Longitudinal Data: A Lag as Moderator Approach

We describe a straightforward, yet novel, approach to examine time-dependent association between variables. The approach relies on a measurement-lag research design in conjunction with statistical interaction models. We base arguments in favor of this approach on the potential for better understanding the associations between variables by describing how the association changes with time. We introduce a number of different functional forms for describing these lag-moderated associations, each with a different substantive meaning. Finally, we use empirical data to demonstrate methods for exploring functional forms and model fitting based on this approach.     

Ignoring Clustering in Confirmatory Factor Analysis: Some Consequences for Model Fit and Standardized Parameter Estimates

In many situations, researchers collect multilevel (clustered or nested) data yet analyze the data either ignoring the clustering (disaggregation) or averaging the micro-level units within each cluster and analyzing the aggregated data at the macro level (aggregation). In this study we investigate the effects of ignoring the nested nature of data in confirmatory factor analysis (CFA). The bias incurred by ignoring clustering is examined in terms of model fit and standardized parameter estimates, which are usually of interest to researchers who use CFA. We find that the disaggregation approach increases model misfit, especially when the intraclass correlation (ICC) is high, whereas the aggregation approach results in accurate detection of model misfit in the macro level. Standardized parameter estimates from the disaggregation and aggregation approaches are deviated toward the values of the macro- and micro-level standardized parameter estimates, respectively. The degree of deviation depends on ICC and cluster size, particularly for the aggregation method. The standard errors of standardized parameter estimates from the disaggregation approach depend on the macro-level item communalities. Those from the aggregation approach underestimate the standard errors in multilevel CFA (MCFA), especially when ICC is low. Thus, we conclude that MCFA or an alternative approach should be used if possible.     

Comments on the Meehl-Waller (2002) procedure for appraisal of path analysis models

P. E. Meehl and N. G. Waller (2002) proposed an innovative method for assessing path analysis models wherein they subjected a given model, along with a set of alternatives, to risky tests using selected elements of a sample correlation matrix. Although the authors find much common ground with the perspective underlying the Meehl-Waller approach, they suggest that there are aspects of the proposed procedure that require close examination and further development. These include the selection of only one subset of correlations to estimate parameters when multiple solutions are generally available, the fact that the risky tests may test only a subset of parameters rather than the full model of interest, and the potential for different results to be obtained from analysis of equivalent models.     

Use of the extreme groups approach: a critical reexamination and new recommendations

Analysis of continuous variables sometimes proceeds by selecting individuals on the basis of extreme scores of a sample distribution and submitting only those extreme scores to further analysis. This sampling method is known as the extreme groups approach (EGA). EGA is often used to achieve greater statistical power in subsequent hypothesis tests. However, there are several largely unrecognized costs associated with EGA that must be considered. The authors illustrate the effects EGA can have on power, standardized effect size, reliability, model specification, and the interpretability of results. Finally, the authors discuss alternative procedures, as well as possible legitimate uses of EGA. The authors urge researchers, editors, reviewers, and consumers to carefully assess the extent to which EGA is an appropriate tool in their own research and in that of others.     

Mind wandering during film comprehension: The role of prior knowledge and situational interest

This study assessed the occurrence and factors that influence mind wandering (MW) in the domain of film comprehension. The cascading model of inattention assumes that a stronger mental representation (i.e., a situation model) during comprehension results in less MW. Accordingly, a suppression hypothesis suggests that MW would decrease as a function of having the knowledge of the plot of a film prior to viewing, because the prior-knowledge would help to strengthen the situation model during comprehension. Furthermore, an interest-moderation hypothesis would predict that the suppression effect of prior-knowledge would only emerge when there was interest in viewing the film. In the current experiment, 108 participants either read a short story that depicted the plot (i.e., prior-knowledge condition) or read an unrelated story of equal length (control condition) prior to viewing the short film (32.5 minutes) entitled The Red Balloon. Participants self-reported their interest in viewing the film immediately before the film was presented. MW was tracked using a self-report method targeting instances of MW with metacognitive awareness. Participants in the prior-knowledge condition reported less MW compared with the control condition, thereby supporting the suppression hypothesis. MW also decreased over the duration of the film, but only for those with prior-knowledge of the film. Finally, prior-knowledge effects on MW were only observed when interest was average or high, but not when interest was low.     

Adjustment to Acute Leukemia: The Impact of Social Support and Marital Satisfaction on Distress and Quality of Life Among Newly Diagnosed Patients and Their Caregivers

Little is known about the specific patterns of adjustment among newly diagnosed acute leukemia patients and their caregivers. This study examined the trajectories of patient and caregiver distress over time as well as the extent to which marital satisfaction and social support moderated these trajectories among those with significant-other caregivers. Forty six patient-caregiver dyads provided ratings at four time points: within 1 week of diagnosis (T1), 2 week follow-up (T2), 6 week follow-up (T3) and 12 week follow-up (T4). As anticipated, patients and caregivers reported higher levels of distress around the time of diagnosis than they did during subsequent time points. Marital satisfaction was a significant predictor of distress among patients, whereas among caregivers, social support predicted distress and quality of life. Results support the inclusion of relational variables such as social support and relationship satisfaction in the assessment of newly diagnosed patients and families in order to best identify those at risk for distress over time.     

Formation for public life: Bonhoeffer's approach to theological education

This essay addresses the role of theological education in shaping how Christian leaders and institutions respond to public debate, conflict, and crisis by analyzing Bonhoeffer's approach to theological education in times of conflict and crisis. It argues that his pedagogical approach of education as formation for public life should inform our pedagogical practice, as the church increasingly engages in a diverse pluralistic public and political life.     

Human genetic markers associated with variation in intellectual abilities and personality

Eight commonly-used genetic markers were correlated with the Verbal Reasoning (VR), Space Relations (SR) and Clerical Speed and Accuracy (CSA) tests of the Differential Aptitude Tests (DAT) and the Psychoticism (P), Extraversion (E), Neuroticism (N) and Lie (L), scales of the Eysenck Personality Questionnaire (EPQ). In a sample of 122 undergraduate students tongue-curling ability, light eye color and inability to taste PTC were related to high intelligence, with dominant right eye, disconnected ear lobes and near-sightedness being associated with specific DAT scales. P showed a male-female sex difference. Dark eyes were related to E and N.