Processes and outcomes in prevention-focused time-limited groups for girls

Processes and outcomes in 8-week prevention-focused, school-based groups for preadolescent girls were assessed in a naturalistic study. Specifically, whether such groups would facilitate their social-emotional development and whether affiliative processes in the groups were related to outcome were explored. In addition to expecting the groups to be effective, it was hypothesized that affiliative processes would be directly related to outcome and, more particularly, that increased positive affiliative feelings from the group toward the individual would be more predictive of positive treatment outcome than increased positive feelings from the individual toward the group. While findings did not support these hypotheses linking process to outcome, ancillary analyses revealed that different patterns of affiliation over time (i.e., U-shape pattern versus inverted U-shape pattern) distinguished the high- versus low-outcome participants, respectively.     

Age differences in contingency judgement linked to perceptual segregation

We demonstrate large differences in judging positive and null contingencies between younger and older adults with a task commonly used to explore cue competition in both contingency and causality judgements. The one-phase blocking task uses two cues, with separate contingencies with the same outcome. The age differences persisted even when participants knew in advance which of the two contingencies to judge. The age differences disappeared, however, when the stimulus display contained markers aiding perceptual segregation. We suggest that the age differences elicited in the one-phase blocking task are linked to decrements in perceptual segregation.     

Ecological Design-Based Research for Computer Science Education: Affordances and Effectivities for Elementary School Students

Abstract

This article integrates an ecological approach and design-based research in computer science education research by following the simultaneous development of a computer programming environment and curriculum for elementary school age children over 2-1/2 years. We studied the alignment of the affordances provided by the programming environment and curriculum with the effectivities of students in 4th through 6th grade (9-12 years old). We used the computer science concept of initializing as a tracer idea and both qualitative and quantitative data to identify mismatches between the affordances provided by our programming environment and the learners’ effectivities. These included requisite mathematical skills, confusion between resetting and setting up, and incorrectly assuming that features of the programming environment conveyed information. We then describe how we addressed the mismatches by removing or adding functionality to the programming environment, adding signifiers, adapting the curriculum to include scaffolding related to the effectivities, or removing activities.     

Sorting the Liars from the Truth Tellers: The Benefits of Asking Unanticipated Questions on Lie Detection

We examined the effect of asking unanticipated interview questions on lie detection. We set up a room in which truth tellers (N = 40) performed five tasks. Liars (N = 40) observed the activity room through a window and were asked to generate a story in which they claim to have performed five tasks. The interview schedule included four thematically related pairs of questions. The first question of each pairing was easy for interviewees to anticipate, as it reflected how events are typically recalled. However, the second included a perspective shift (temporal or spatial), which made the question harder to anticipate. We also measured cognitive load via performance on an object sorting secondary task that interviewees undertook during interview. Compared with truth tellers, liars' verbal responses showed a greater decline in details across three out of four question pairs. Liars also sorted significantly fewer objects per minute on the secondary task. Copyright © 2012 John Wiley & Sons, Ltd.     

Long-term effects of religious upbringing

Abstract

The impact of religious experiences on development is often ignored in therapeutic settings. This study examines the effects of rigidity and fear in religious upbringings and of current religious status on conformity to parental expectations, guilt, aversion to religious artifacts, family strife, independence and irrational beliefs. Questionnaires were designed to measure these effects and were completed by 129 adult men and women. Regression analyses revealed that high histories of fear, high current religiosity and older age were predictive of guilt; high current religiosity predicted conformity to parental wishes; high histories of fear and low current religiosity predicted aversion to religious artifacts; and high histories of rigidity were predictive of family strife. Histories of religious rigidity and fear were differentially associated with disaffiliation from parental religions. Family strife was also associated with similarity of beliefs between subjects and their parents. Subjects over 30 years of age were more likely to report higher histories of fear and to be affiliated with their parents’ religion. Subjects under 30 years of age reported higher histories of rigidity. Results support the importance of considering religion, including religious history, as a cultural variable in research and practice.     

Stress and Well-Being Among Parents of Children with Potocki-Lupski Syndrome

Potocki-Lupski syndrome (PTLS) or duplication 17p11.2 syndrome is a newly characterized condition causing a variety of health problems with variable severity, including failure to thrive in infancy and childhood, hypotonia, structural heart anomalies, cognitive impairments, speech and learning difficulties, and autism. Due to its recent clinical characterization little is known about the psychosocial impact of this condition on patients and their families. This study evaluated whether parental psychosocial outcomes were associated with children’s PTLS disease severity. Parents of 58 children with PTLS completed a cross-sectional survey that assessed parental stress, quality of life, and coping skills. Parental functioning was associated with greater severity of feeding difficulty and with lower severity of a cardiovascular defect. Findings from this study highlight potential support needs of parents of children affected by PTLS and suggest ways in which these needs may be addressed.     

Hoping to Live a “Normal” Life Whilst Living with Unpredictable Health and Fear of Death: Impact of Cystic Fibrosis on Young Adults

This study aimed to explore the hopes and fears of young adults with cystic fibrosis (CF). Fifteen young adults with CF, aged 18–29, were interviewed about their hopes and fears using a grounded theory approach. Five themes were identified during the analysis: perceptions of living with unpredictable health and fear of death and dying; hopes for normality; hopes for a normal relationship and/or marriage; hopes for having children; and hopes for a normal work life. Participants feared the unpredictable nature of CF and the suffering that they believed they would have to endure due to ill health before premature death. Despite their fears, participants hoped to live a “normal” life by achieving their hopes of having long-lasting relationships, having children and pursuing a career. The findings highlight the need to help alleviate the fears of young adults with CF and to enable them to plan to achieve their hopes, hence giving them a sense of control over their condition.     

Analytical Problems and Suggestions in the Analysis of Behavioral Economic Demand Curves

Behavioral economic demand curves (Hursh, Raslear, Shurtleff, Bauman, & Simmons, 1988) are innovative approaches to characterize the relationships between consumption of a substance and its price. In this article, we investigate common analytical issues in the use of behavioral economic demand curves, which can cause inconsistent interpretations of demand curves, and then we provide methodological suggestions to address those analytical issues.

We first demonstrate that log transformation with different added values for handling zeros changes model parameter estimates dramatically. Second, demand curves are often analyzed using an overparameterized model that results in an inefficient use of the available data and a lack of assessment of the variability among individuals.

To address these issues, we apply a nonlinear mixed effects model based on multivariate error structures that has not been used previously to analyze behavioral economic demand curves in the literature. We also propose analytical formulas for the relevant standard errors of derived values such as P _max, O _max, and elasticity. The proposed model stabilizes the derived values regardless of using different added increments and provides substantially smaller standard errors. We illustrate the data analysis procedure using data from a relative reinforcement efficacy study of simulated marijuana purchasing.     

Limited‐information goodness‐of‐fit testing of hierarchical item factor models

In applications of item response theory, assessment of model fit is a critical issue. Recently, limited‐information goodness‐of‐fit testing has received increased attention in the psychometrics literature. In contrast to full‐information test statistics such as Pearson’s X² or the likelihood ratio G², these limited‐information tests utilize lower‐order marginal tables rather than the full contingency table. A notable example is Maydeu‐Olivares and colleagues’M₂ family of statistics based on univariate and bivariate margins. When the contingency table is sparse, tests based on M₂ retain better Type I error rate control than the full‐information tests and can be more powerful. While in principle the M₂ statistic can be extended to test hierarchical multidimensional item factor models (e.g., bifactor and testlet models), the computation is non‐trivial. To obtain M₂, a researcher often has to obtain (many thousands of) marginal probabilities, derivatives, and weights. Each of these must be approximated with high‐dimensional numerical integration. We propose a dimension reduction method that can take advantage of the hierarchical factor structure so that the integrals can be approximated far more efficiently. We also propose a new test statistic that can be substantially better calibrated and more powerful than the original M₂ statistic when the test is long and the items are polytomous. We use simulations to demonstrate the performance of our new methods and illustrate their effectiveness with applications to real data.     

Determining the Temporal Limits of a Visual Sample for Visual Regulation

The author examined the minimum amount of time needed for vision to increase aiming accuracy and decrease movement duration. Participants selected when they would receive a visual sample during aiming movements by pressing a switch held with the left hand. The sample was one of the following durations: 40 ms, 30 ms, 20 ms, 10 ms, or 0 ms (no vision). Decreased accuracy in the no-vision condition compared to the vision conditions was observed when the duration of the impending sample was unknown (Experiment 1). Samples 40 ms in duration were sufficient to decrease endpoint variability when the duration of the sample was known before the movement (Experiment 2). These results indicate that short visual samples can be used to decrease movement time and increase accuracy and that knowledge of the impending visual context can impact the individual's subsequent behavior.