Identifying Children at Risk for Emotional and Behavioral Problems: A Diagnostic Classification Model Approach.
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| Title: | Identifying Children at Risk for Emotional and Behavioral Problems: A Diagnostic Classification Model Approach. |
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| Authors: | Bao, Yu (AUTHOR), Liu, Jin (AUTHOR), DiStefano, Christine (AUTHOR), Ding, Ruyi (AUTHOR) |
| Source: | Psychology in the Schools. May2025, Vol. 62 Issue 5, p1355-1368. 14p. |
| Subjects: | Report cards, Children's health, Child support, Adults, Classification |
| Abstract: | Behavioral and emotional disorders in childhood can have lasting impacts in areas such as education and future employment, often extending into adulthood. Identifying the potential disorders in children's early grades is beneficial to provide proactive assistance. In this study, we employed a well‐validated scale ‐ the Strengths and Difficulties Questionnaire (SDQ) to investigate the profiles of five‐dimensional behavioral and emotional problems for 639 elementary school children from a southern U.S. state. Using a diagnostic classification model (DCM), we classified children into a set of predetermined profiles that capture the full range of possible behavioral and emotional patterns. The results indicated that the DCM yielded a good model‐data fit and can provide individualized feedback about the children for their teachers specifying which behavioral or emotional area(s) is/are at risk and deserve(s) special attention. We developed a sample student report card with accompanying user guidance. Applying DCM modeling in identifying children at risk for behavioral and emotional problems offers a new alternative to provide targeted support for children in need. Summary: The teacher‐rated Strengths and Difficulties Questionnaire (SDQ) is crucial for early prescreening of children's behavioral and emotional problems, helping to reduce potential long‐term negative impacts into adulthood.The Diagnostic Classification Model (DCM) is a novel psychometric approach that offers accurate and reliable diagnoses for children's mental health issues.DCM overcomes interpretation challenges commonly encountered with other profiling methods and provides individualized feedback, enhancing its practical applicability.The study results suggest that diagnostic classification models can be a novel and useful method to classify children into profiles based on their characteristics in different attributes. This method can be applied to other scales in the areas of clinical psychology. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | Behavioral and emotional disorders in childhood can have lasting impacts in areas such as education and future employment, often extending into adulthood. Identifying the potential disorders in children's early grades is beneficial to provide proactive assistance. In this study, we employed a well‐validated scale ‐ the Strengths and Difficulties Questionnaire (SDQ) to investigate the profiles of five‐dimensional behavioral and emotional problems for 639 elementary school children from a southern U.S. state. Using a diagnostic classification model (DCM), we classified children into a set of predetermined profiles that capture the full range of possible behavioral and emotional patterns. The results indicated that the DCM yielded a good model‐data fit and can provide individualized feedback about the children for their teachers specifying which behavioral or emotional area(s) is/are at risk and deserve(s) special attention. We developed a sample student report card with accompanying user guidance. Applying DCM modeling in identifying children at risk for behavioral and emotional problems offers a new alternative to provide targeted support for children in need. Summary: The teacher‐rated Strengths and Difficulties Questionnaire (SDQ) is crucial for early prescreening of children's behavioral and emotional problems, helping to reduce potential long‐term negative impacts into adulthood.The Diagnostic Classification Model (DCM) is a novel psychometric approach that offers accurate and reliable diagnoses for children's mental health issues.DCM overcomes interpretation challenges commonly encountered with other profiling methods and provides individualized feedback, enhancing its practical applicability.The study results suggest that diagnostic classification models can be a novel and useful method to classify children into profiles based on their characteristics in different attributes. This method can be applied to other scales in the areas of clinical psychology. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 00333085 |
| DOI: | 10.1002/pits.23394 |
