The purpose of this investigation was to evaluate the models for interpretation and use that serve as the foundation of an interpretation/use argument for the Social and Academic Behavior Risk Screener (SABRS). The SABRS was completed by 34 teachers with regard to 488 students in a Midwestern high school during the winter portion of the academic year. Confirmatory factor analysis supported interpretation of SABRS data, suggesting the fit of a bifactor model specifying 1 broad factor (General Behavior) and 2 narrow factors (Social Behavior [SB] and Academic Behavior [AB]). The interpretive model was further supported by analyses indicative of the internal consistency and interrater reliability of scores from each factor. In addition, latent profile analyses indicated the adequate fit of the proposed 4-profile SABRS model for use. When cross-referenced with SABRS cut scores identified via previous work, results revealed students could be categorized as (a) not at-risk on both SB and AB, (b) at-risk on SB but not on AB, (c) at-risk on AB but not on SB, or (d) at-risk on both SB and AB. Taken together, results contribute to growing evidence supporting the SABRS within universal screening. Limitations, implications for practice, and future directions for research are discussed herein.

Download full-text PDF

Source
http://dx.doi.org/10.1037/spq0000087DOI Listing

Publication Analysis

Top Keywords

academic behavior
12
at-risk at-risk
12
models interpretation
8
social academic
8
behavior risk
8
risk screener
8
screener sabrs
8
sabrs
7
behavior
5
confirmation models
4

Similar Publications

Background/objectives: This study aims to assess the effects of combined hormonal contraceptives (CHCs) on bone metabolism markers. It primarily measures osteocalcin and additionally examines other bone health markers, seeking to determine their responses to estrogen-progestogen treatments.

Methods: This study involved a comprehensive evaluation of the pertinent literature and a meta-analysis explicitly conducted on data describing women of reproductive age.

View Article and Find Full Text PDF

Nighttime Cough Characteristics in Chronic Obstructive Pulmonary Disease Patients.

Sensors (Basel)

January 2025

Department of Academic Respiratory Medicine, Centre for Cardiovascular and Metabolic Research, Hull York Medical School, Cottingham HU16 5JQ, UK.

Coughing is a symptom of many respiratory diseases. An increased amount of coughs may signal an (upcoming) health issue, while a decreasing amount of coughs may indicate an improved health status. The presence of a cough can be identified by a cough classifier.

View Article and Find Full Text PDF

To reveal the microstructural evolution and stress-strain distribution of 780 MPa-grade ferrite/martensite dual-phase steel during a uniaxial tensile deformation process, the plastic deformation behavior under uniaxial tension was studied using in situ EBSD and crystal plastic finite element method (CPFEM). The results showed that the geometrically necessary dislocations (GND) in ferrite accumulated continuously, which is conducive to the formation of grain boundaries, but the texture distribution did not change significantly. The average misorientation angle decreased and the proportion of low-angle grain boundaries increased with the increase of strain.

View Article and Find Full Text PDF

Deep eutectic solvents (DES) have emerged as versatile, sustainable media for the synthesis of nanomaterials due to their low toxicity, tunability, and biocompatibility. This study develops a one-step method to modify commercially available screen-printed electrodes (SPE) using laser-induced pyrolysis of DES, consisting of choline chloride and tartaric acid with dissolved nickel acetate and dispersed graphene. The electrodes were patterned using a 532 nm continuous-wave laser for the in situ formation of Ni nanoparticles decorated on graphene sheets directly on the SPE surface (Ni-G/SPE).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!