Patrick Robinson-Link, Danielle Fowler, Brian Daniels, Jill Battal
{"title":"某大城市学区学生的社会、情感和行为筛选概况","authors":"Patrick Robinson-Link, Danielle Fowler, Brian Daniels, Jill Battal","doi":"10.1177/07342829231157474","DOIUrl":null,"url":null,"abstract":"Social, emotional, and behavioral (SEB) screening frequently employs a variable-based approach wherein individual scale scores indicate risk. However, a person-centered approach wherein risk is indicated by profiles, or constellations of scores across all scales, could help schools prioritize students based on the pervasiveness of SEB needs and match students to appropriate interventions. This study used latent profile analysis (LPA) to identify profiles within two diverse student samples (n = 16,270 in year one; n = 4019 in year two) based on teacher ratings on the Behavior Intervention Monitoring Assessment System, Second Edition (BIMAS-2). Results suggested four profiles including one profile with elevated risk across all scales, one profile with low behavioral risk and above average social functioning, one profile with borderline risk across all scales, and one profile with typical scores across most scales. Implications for linking universal screening to intervention are discussed. Impact and Implications: Many school districts employ universal screening to prevent and address wide-ranging student needs. Grouping students based on shared sets of needs has the potential to efficiently identify and prioritize students with pervasive risk in order to match them to comprehensive services. Results from this study capture the first attempt to identify student need profiles using BIMAS-2 scores. Future research should refine this process to derive more usable and consistent student profiles allowing direct links to comprehensive student services.","PeriodicalId":51446,"journal":{"name":"Journal of Psychoeducational Assessment","volume":null,"pages":null},"PeriodicalIF":1.5000,"publicationDate":"2023-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Social, Emotional and Behavioral Screening Profiles Among Students in a Large Urban School District\",\"authors\":\"Patrick Robinson-Link, Danielle Fowler, Brian Daniels, Jill Battal\",\"doi\":\"10.1177/07342829231157474\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Social, emotional, and behavioral (SEB) screening frequently employs a variable-based approach wherein individual scale scores indicate risk. However, a person-centered approach wherein risk is indicated by profiles, or constellations of scores across all scales, could help schools prioritize students based on the pervasiveness of SEB needs and match students to appropriate interventions. This study used latent profile analysis (LPA) to identify profiles within two diverse student samples (n = 16,270 in year one; n = 4019 in year two) based on teacher ratings on the Behavior Intervention Monitoring Assessment System, Second Edition (BIMAS-2). Results suggested four profiles including one profile with elevated risk across all scales, one profile with low behavioral risk and above average social functioning, one profile with borderline risk across all scales, and one profile with typical scores across most scales. Implications for linking universal screening to intervention are discussed. Impact and Implications: Many school districts employ universal screening to prevent and address wide-ranging student needs. Grouping students based on shared sets of needs has the potential to efficiently identify and prioritize students with pervasive risk in order to match them to comprehensive services. Results from this study capture the first attempt to identify student need profiles using BIMAS-2 scores. 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Social, Emotional and Behavioral Screening Profiles Among Students in a Large Urban School District
Social, emotional, and behavioral (SEB) screening frequently employs a variable-based approach wherein individual scale scores indicate risk. However, a person-centered approach wherein risk is indicated by profiles, or constellations of scores across all scales, could help schools prioritize students based on the pervasiveness of SEB needs and match students to appropriate interventions. This study used latent profile analysis (LPA) to identify profiles within two diverse student samples (n = 16,270 in year one; n = 4019 in year two) based on teacher ratings on the Behavior Intervention Monitoring Assessment System, Second Edition (BIMAS-2). Results suggested four profiles including one profile with elevated risk across all scales, one profile with low behavioral risk and above average social functioning, one profile with borderline risk across all scales, and one profile with typical scores across most scales. Implications for linking universal screening to intervention are discussed. Impact and Implications: Many school districts employ universal screening to prevent and address wide-ranging student needs. Grouping students based on shared sets of needs has the potential to efficiently identify and prioritize students with pervasive risk in order to match them to comprehensive services. Results from this study capture the first attempt to identify student need profiles using BIMAS-2 scores. Future research should refine this process to derive more usable and consistent student profiles allowing direct links to comprehensive student services.
期刊介绍:
The Journal of Psychoeducational Assessment (JPA) publishes contemporary and important information focusing on psychological and educational assessment research and evidence-based practices as well as assessment instrumentation. JPA is well known internationally for the quality of published assessment-related research, theory and practice papers, and book and test reviews. The methodologically sound and impiricially-based studies and critical test and book reviews will be of particular interest to all assessment specialists including practicing psychologists, psychoeducational consultants, educational diagnosticians and special educators.