The protective effects of religiosity on maladjustment among maltreated and nonmaltreated children

OBJECTIVE: The aim of this study was to investigate the role of child religiosity in the development of maladaptation among maltreated children. METHODS: Data were collected on 188 maltreated and 196 nonmaltreated children from low-income families (ages 6-12 years). Children were assessed on religiosity and depressive symptoms, and were evaluated by camp counselors on internalizing symptomatology and externalizing symptomatology. RESULTS: Significant interactions indicated protective effects of religiosity. Child reports of the importance of faith were related to lower levels of internalizing symptomatology among maltreated girls (t=-2.81, p<.05). Child reports of attendance at religious services were associated with lower levels of externalizing symptomatology among nonmaltreated boys (t=1.94, p=.05). CONCLUSION: These results suggest that child religiosity may largely contribute to stress coping process among maltreated and nonmaltreated children from low-income families. The results also indicate that the protective roles of religiosity varied by risk status and gender. PRACTICAL IMPLICATIONS: The results indicate that a range of child religiosity behaviors and practices can be assessed in translational prevention research. It is recommended that healthcare professionals, psychologists, and social workers working with maltreated children and their families assess for salience of religiosity and may encourage them to consider the role religiosity plays in the development of prevention and intervention programs to alleviate distress and enhance stress coping.     

Primary assessment activity and learner perceptions of attitude change in four MOOCs

This study seeks to examine perceptions of attitudinal change in relation to the primary assessment activity within four Massive Open Online Courses (MOOCs) that were designed for attitudinal learning. The purpose of this study was twofold. First, we sought to understand if by focusing on assessing cognitive learning (quizzes) as opposed to behavioral learning (personal projects), the courses would result in greater reported attitude change in the respective areas. The second component of the study examined whether learners who identified cognitive learning (quizzes) as opposed to behavioral learning (personal projects) as the most impactful learning activity (or vice versa) reported stronger learning in the respective attitudinal component. Using an author-created survey that included learner reported attitudinal learning, perceptions of attitude change were collected. Results revealed that learners who utilized assessment activities focusing on behavioral learning did not report higher perceptions of behavioral learning. In contrast, learners utilizing assessment activities that focused on cognitive learning did report higher perceptions of cognitive learning. We conclude with a discussion of instructional design and facilitation of learning in MOOCs, as well as instruction for attitudinal learning within open-learning environments.     

The effects of a data use intervention on educators’ satisfaction and data literacy

Schools in many different countries are increasingly expected to use data for school improvement. However, schools struggle with the implementation of data use, because building human capacity around data use in education has not received enough attention. Educators urgently need to develop data literacy skills for being able to use data. For supporting schools with the endeavor of developing data literacy skills, we developed and implemented a data use intervention in secondary schools based in the Netherlands. This study therefore focuses on the effects of this intervention on educator satisfaction with the intervention and their data literacy skills and attitude toward data use. This study uses a quasi-experimental research design and employs a mixed-methods approach with a data use questionnaire filled in by data team schools (N = 9) and comparison schools (N = 42), a satisfaction questionnaire filled in by data team participants (N = 55), pre- and posttest knowledge tests filled in by data team participants (N = 36), and interview data (N = 11) from three case study schools. The results show that the participants were, for example, very satisfied with the support received during the intervention. Also, respondents developed new data literacy skills and showed a more positive attitude toward data use. The results show how teachers can be supported systematically in data use in their educational practice. In the conclusions, we discuss some important implications for practice regarding the intensity and duration of support and implications for further research.     

A cluster analysis of high school science classroom environments and attitude toward science

This study provides a test of a theory which suggests that student perceptions of their classroom environment affect their attitudes toward science. Using the statistical technique of cluster analysis, 27 high school science classes were divided into three distinct clusters which were most distinguishable by the amount of involvement, affiliation with students, teacher support, order and organizations, and innovative teaching strategies. One of the clusters provided a classroom environment which was significantly different from the other two and the students in that environment had more positive attitudes toward science. The dimensions of the classroom environment which make a difference are those which teachers may develop and change in order to enhance the science attitudes and, possibly, the science achievement of their students.     

Chemosensory conditioning in molluscs: II. A critical review

We critically review chemosensory conditioning studies with molluscs and find that, in many studies, the influence of nonassociative processes complicates, obscures, and renders ambiguous the unique contribution of associative learning. These nonassociative processes include sensory adaptation, habituation, sensitization, and changes in feeding motivation. They arise from both the food extracts that have often been used as conditioned stimuli and the aversive stimuli that have been used as unconditioned stimuli.     

Measurement Invariance Testing Across Between-Level Latent Classes Using Multilevel Factor Mixture Modeling

This simulation study examines the efficacy of multilevel factor mixture modeling (ML FMM) for measurement invariance testing across unobserved groups when the groups are at the between level of multilevel data. To this end, latent classes are generated with class-specific item parameters (i.e., factor loading and intercept) across the between-level classes. The efficacy of ML FMM is evaluated in terms of class enumeration, class assignment, and the detection of noninvariance. Various classification criteria such as Akaike’s information criterion, Bayesian information criterion, and bootstrap likelihood ratio tests are examined for the correct enumeration of between-level latent classes. For the detection of measurement noninvariance, free and constrained baseline approaches are compared with respect to true positive and false positive rates. This study evidences the adequacy of ML FMM. However, its performance heavily depends on the simulation factors such as the classification criteria, sample size, and the magnitude of noninvariance. Practical guidelines for applied researchers are provided.     

Topology evolutions of silhouettes

We give the topology changing of the silhouette in 3D space while others study the projections in an image. Silhou- ettes play a crucial role in visualization, graphics and vision. This work focuses on the global behaviors of silhouettes, especially their topological evolutions, such as splitting, merging, appearing and disappearing. The dynamics of silhouettes are governed by the topology, the curvature of the surface, and the view point. In this paper, we work on a more theoretical level to give enu- merative properties of the silhouette including: the integration of signed geodesic curvature along a silhouette is equal to the view cone angle; in elliptic regions, no silhouette can be contained in another one; in hyperbolic regions, if a silhouette is homotopic to a point, then it has at least 4 cusps; finally, critical events can only happen when the view point is on the aspect surfaces (ruled surface of the asymptotic lines of parabolic points with surface itself). We also introduce a method to visualize the evolution of silhouettes, especially all the critical events where the topologies of the silhouettes change. The results have broad applications in computer vision for recognition, graphics for rendering and visualization.     

Using Multilevel Regression Mixture Models to Identify Level-1 Heterogeneity in Level-2 Effects

This article proposes a novel exploratory approach for assessing how the effects of Level-2 predictors differ across Level-1 units. Multilevel regression mixture models are used to identify latent classes at Level 1 that differ in the effect of 1 or more Level-2 predictors. Monte Carlo simulations are used to demonstrate the approach with different sample sizes and to demonstrate the consequences of constraining 1 of the random effects to 0. An application of the method to evaluate heterogeneity in the effects of classroom practices on students is used to show the types of research questions that can be answered with this method and the issues faced when estimating multilevel regression mixtures.     

Patterns of image comparison using compare and contrast feature in Urinalysis Tutor™

This study examined how students interacted with a computer-based feature, Compare and Contrast , which facilitated image comparisons. Unlike previous research, which explored the use of images ordered and presented by investigators, this study examined emerging patterns of image comparison as students selected the presentation mode. Three main image-viewing modes emerged including one successive mode and two simultaneous modes: (1) single image viewing in which only one image was viewed at a time; (2) paired viewing in which different pairs of images were displayed; and (3) anchored viewing in which a single image in one image panel served as an anchor against which multiple image comparisons were made using the second panel. Overall, anchored viewing was the most predominant image-viewing mode used by the students (41%) compared to single viewing (22%) and paired viewing (11%). Students who viewed images in the anchored-viewing mode attained the highest scores on the post-test exam. Our study suggests that a computer instructional program with a user-controlled interactivity feature can provide insights on how learners form different types of visual comparison strategies. Future experimental studies involving interface design that explicitly supports single, paired, and anchored viewing modes could confirm or challenge the results of our study and therefore, contribute to on-going research on the effective mode of image presentation for visual concept acquisition.