Wyattcates2109

The present article highlights several ethical issues that arise when providing psychological services to UIC, with particular consideration paid to the embeddedness of UIC in various organizational entities with which psychologists will likely need to interface when working with this population. Implications and recommendations for practicing psychologists and training programs are discussed.

The aims of this study are to describe an adaptation process of a research-supported treatment (RST) for children with oppositional defiant disorder and to examine provider attitudes toward RSTs prior to and following this process.

Providers from 14 agencies in New York State delivered the adapted RST, following training. Attitudes toward RSTs were measured by the Evidence-Based Practice Attitude Scale at baseline and posttest.

Openness toward RSTs decreased from baseline to posttest. The majority of providers reported modifications to the structure and process of the intervention.

To improve the uptake and usability of RSTs in practice, future research must further address adaptation processes and their relationships to attitudes toward RSTs.

To improve the uptake and usability of RSTs in practice, future research must further address adaptation processes and their relationships to attitudes toward RSTs.

This study aimed to determine the extent to which a concept-based physical education curriculum, specifically the Science of Healthful Living (SHL) curriculum, influenced middle school students' knowledge, motivation for physical education (PE) and physical activity (PA), and out-of-school PA.

A static group comparison design was adopted to analyze the differences on fitness knowledge, autonomous motivation for PE and PA, and out-of-school PA between eighth-grade students who studied the SHL curriculum (the experimental condition,

= 168) and their peers who studied a multiactivity PE (the control condition,

= 226) 1 year earlier.

The students who studied the SHL curriculum demonstrated significantly higher levels of knowledge (

< .05, Cohen

= 0.81), autonomous motivation toward PA (

< .05, Cohen

= 0.20), and out-of-school PA (

< .05, Mann-Whitney

effect size = 0.01) than students who had experienced the multiactivity PE. The students in both conditions were equally motivated in their respective PE courses.

The SHL curriculum is effective in promoting students' PA behavior outside of the school.

The SHL curriculum is effective in promoting students' PA behavior outside of the school.We tested a prevention approach aimed at reducing growth in alcohol use in middle school using four waves (2 years) of data from a cluster randomized trial (N = 15 middle schools, 1,890 students, 47.1% female, 75.2% White). Our approach exposed students to a broad cross-section of peers through collaborative, group-based learning activities in school (i.e., cooperative learning). We hypothesized that the increased social contact created by cooperative learning would promote greater peer relatedness, interrupting the process of deviant peer clustering and, in turn, reduce escalations in alcohol use. Our results supported these hypotheses, suggesting that the social nature of cooperative learning, and the emphasis on group work and collaboration, can provide social and behavioral as well as academic benefits for students.Increased accuracy and affordability of depth sensors such as Kinect has created a great depth-data source for various 3D oriented applications. Dabrafenib Specifically, 3D model retrieval is attracting attention in the field of computer vision and pattern recognition due to its numerous applications. A cross-domain retrieval approach such as depth image based 3D model retrieval has the challenges of occlusion, noise and view variability present in both query and training data. In this paper, we propose a new supervised deep autoencoder approach followed by semantic modeling to retrieve 3D shapes based on depth images. The key novelty is the two-fold feature abstraction to cope with the incompleteness and ambiguity present in the depth images. First, we develop a supervised autoencoder to extract robust features from both real depth images and synthetic ones rendered from 3D models, which are intended to balance reconstruction and classification capabilities of mix-domain data. Then semantic modeling of the supervised autoencoder features offers the next level of abstraction to cope with the incompleteness and ambiguity of the depth data. It is interesting that unlike any other pairwise model structures, we argue that cross-domain retrieval is still possible using only one single deep network trained on real and synthetic data. The experimental results on the NYUD2 and ModelNet10 datasets demonstrate that the proposed supervised method outperforms the recent approaches for cross-modal 3D model retrieval.We investigated by means of a simulation study how well methods for factor rotation can identify a two-facet simple structure. Samples were generated from orthogonal and oblique two-facet population factor models with 4 (2 factors per facet) to 12 factors (6 factors per facet). Samples drawn from orthogonal populations were submitted to factor analysis with subsequent Varimax, Equamax, Parsimax, Factor Parsimony, Tandem I, Tandem II, Infomax, and McCammon's minimum entropy rotation. Samples drawn from oblique populations were submitted to factor analysis with subsequent Geomin rotation and a Promax-based Tandem II rotation. As a benchmark, we investigated a target rotation of the sample loadings toward the corresponding faceted population loadings. The three conditions were sample size (n = 400, 1,000), number of factors (q = 4-12), and main loading size (l = .40, .50, .60). For less than six orthogonal factors Infomax and McCammon's minimum entropy rotation and for six and more factors Tandem II rotation yielded the highest congruence of sample loading matrices with faceted population loading matrices. For six and more oblique factors Geomin rotation and a Promax-based Tandem II rotation yielded the highest congruence with faceted population loadings. Analysis of data of 393 participants that performed a test for the Berlin Model of Intelligence Structure revealed that the faceted structure of this model could be identified by means of a Promax-based Tandem II rotation of task aggregates corresponding to the cross-products of the facets. Implications for the identification of faceted models by means of factor rotation are discussed.