2021
DOI: 10.1007/s10862-021-09869-0
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Profiles of Rater Dis/Agreement within Universal Screening in Predicting Distal Outcomes

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Cited by 7 publications
(9 citation statements)
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References 57 publications
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“…These results were corroborated by the combined models where a similar percentage (17%) were in consequential "disagreeing" profiles that may impact identification for additional SEL support. Results differ from von der Embse et al (2021) where rating incongruence was only found for 21% of the sample and was more likely to occur in the lower profiles where there is higher risk and more potential for intervention discrepancies.…”
Section: Patterns Of Social and Emotional Learning Functioning And Le...contrasting
confidence: 90%
See 2 more Smart Citations
“…These results were corroborated by the combined models where a similar percentage (17%) were in consequential "disagreeing" profiles that may impact identification for additional SEL support. Results differ from von der Embse et al (2021) where rating incongruence was only found for 21% of the sample and was more likely to occur in the lower profiles where there is higher risk and more potential for intervention discrepancies.…”
Section: Patterns Of Social and Emotional Learning Functioning And Le...contrasting
confidence: 90%
“…Further, informant SEL profiles can assist in evaluating the value of using both teacher and student informants for SEL ratings and clarify potential discrepancies that may pose a challenge with a multi-informant approach. For instance, von der Embse et al (2021) illustrated how combined screening with both teachers and students for social, emotional, and behavioral risk provides an enhanced understanding of functioning to identify students for intervention and found rating incongruence of 21%, which was most likely to occur in the lower profiles. Further, researchers can identify factors that predict profile membership and evaluate how profiles predict student outcomes.…”
Section: Interpreting Multi-informant Social and Emotional Learning S...mentioning
confidence: 99%
See 1 more Smart Citation
“…Combining academic, attendance, and discipline data with SEB risk data on internalizing, externalizing, and adaptive domains can assist in understanding patterns by which students are prioritized for intervention before and after screening and which students are more likely to be overlooked. Previous studies used LPA to examine SEB screening rater agreement profiles (von der Embse et al, 2021), examine long-term stability of behavioral and emotional risk on universal screening (Dowdy et al, 2014), and symptom profiles related to mental health services received (Splett et al, 2018).…”
Section: Universal Seb Screeningmentioning
confidence: 99%
“…A person-centered approach utilizes data aggregation techniques such as latent profile (LPA) or latent class analysis (LCA) to identify the profiles of respondents (Herman et al, 2018 ). Research using these techniques has identified unique profiles of rater groups (e.g., student-low risk and teacher-low risk, student-high risk and teacher-low risk) that differentially predict distal outcomes (von der Embse et al, 2021 ). Makol and colleagues ( 2020 ) used variable-centered analyses with a Trait score approach.…”
Section: Multi-informant Universal Screeningmentioning
confidence: 99%