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Yu Bao; Jin Liu; Christine DiStefano; Ruyi Ding – Psychology in the Schools, 2025
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…
Descriptors: Identification, Behavior Problems, Emotional Disturbances, Goodness of Fit
Gao, Ruiqin – ProQuest LLC, 2023
This multiple-manuscript dissertation explored the measurement invariance (MI) testing with multiple-group confirmatory factor analysis (MG-CFA) approach from different perspectives. Study 1 explored MI from a theoretical perspective by conducting a systematic review study on MI practices in education. The findings of this study indicated…
Descriptors: Error of Measurement, Factor Analysis, Simulation, Elementary School Students
Toseeb, Umar; Oginni, Olakunle Ayokunmi; Dale, Philip S. – Journal of Learning Disabilities, 2022
There is considerable variability in the extent to which young people with developmental language disorder (DLD) experience mental health difficulties. What drives these individual differences remains unclear. In the current article, data from the Twin Early Development Study were used to investigate the genetic and environmental influences on…
Descriptors: Language Impairments, Correlation, Psychopathology, Mental Health
Moore, Stephanie A.; Dowdy, Erin; Nylund-Gibson, Karen; Furlong, Michael J. – Grantee Submission, 2019
Dual-factor models of mental health are increasingly supported but little is known about longitudinal trends in dual-factor mental health. The current study used latent profile analysis (LPA) to empirically identify dual-factor mental health classes at each of Grades 9 through 12 and latent transition analysis (LTA) to examine stability of classes…
Descriptors: Mental Health, Models, High School Students, Adolescents
Gniewosz, Burkhard; Gniewosz, Gabriela – International Journal of Behavioral Development, 2018
The present article aims to show how to model longitudinal change in cohort sequential data applying latent true change models using Mplus' multi-group approach. The underlying modeling ideas are described and explained in this article. As an example, change in internalizing problem behaviors between the age of 8 and 13 years is modeled and…
Descriptors: Models, Data, Behavior Problems, Children
Farmer, Elizabeth M. Z.; Seifert, Heather; Wagner, H. Ryan; Burns, Barbara J.; Murray, Maureen – Journal of Emotional and Behavioral Disorders, 2017
Group homes are a frequently used but controversial treatment setting for youth with mental health problems. Within the relatively sparse literature on group homes, there is some evidence that some models of treatment may be associated with more positive outcomes for youth. This article explores this possibility by examining differences across…
Descriptors: Outcomes of Treatment, Mental Health, Intervention, Youth
Chauvin, Bruno; Leonova, Tamara – Journal of Psychoeducational Assessment, 2016
Key concerns about the psychometric properties of the 25-item version of the Strengths and Difficulties Questionnaire (SDQ) have consistently been raised in the literature. The present study aimed at examining the meaningfulness of an alternative model to the SDQ in which 7 problematic items are excluded. French-speaking parents of 262 boys and…
Descriptors: French, Psychometrics, Behavior Problems, Emotional Disturbances
Niclasen, Janni; Dammeyer, Jesper – Journal of Deaf Studies and Deaf Education, 2016
More knowledge is needed about the characteristics of mental health problems among deaf or hard of hearing (D/HH) children. This study investigates the factor structure of one of the most widely used screening tools, the Strengths and Difficulties Questionnaire (SDQ), and the prevalence of mental health problems among D/HH children. Our data were…
Descriptors: Psychometrics, Questionnaires, Mental Health, Mental Disorders
Haynes, Allison; Gilmore, Linda; Shochet, Ian; Campbell, Marilyn; Roberts, Clare – Research in Developmental Disabilities: A Multidisciplinary Journal, 2013
The rate of emotional and behavioural disturbance in children with intellectual disability (ID) is up to four times higher than that of their typically developing peers. It is important to identify these difficulties in children with ID as early as possible to prevent the chronic co-morbidity of ID and psychopathology. Children with ID have…
Descriptors: Factor Analysis, Psychopathology, Emotional Intelligence, Measures (Individuals)
Niclasen, Janni; Skovgaard, Anne Mette; Andersen, Anne-Marie Nybo; Somhovd, Mikael Julius; Obel, Carsten – Journal of Abnormal Child Psychology, 2013
The aim of this study was to examine the factor structure of the Strengths and Difficulties Questionnaire (SDQ) using a Structural Confirmatory Factor Analytic approach. The Danish translation of the SDQ was distributed to 71,840 parents and teachers of 5-7 and 10-12-year-old boys and girls from four large scale cohorts. Three theoretical models…
Descriptors: Questionnaires, Measures (Individuals), Factor Analysis, Models
Poulou, Maria – International Journal of Educational Psychology, 2015
In this study, the role of teacher-student relationships and students' social and emotional skills as potential predictors of students' emotional and behavioural difficulties was investigated by tapping into 962 primary school students' perceptions via questionnaires. While significant correlations were found linking teachers' interpersonal…
Descriptors: Foreign Countries, Elementary School Students, Elementary School Teachers, Teacher Student Relationship
Camilleri, Liberato; Cefai, Carmel – World Journal of Education, 2013
Multiple linear regression and ANOVA models are widely used in applications since they provide effective statistical tools for assessing the relationship between a continuous dependent variable and several predictors. However these models rely heavily on linearity and normality assumptions and they do not accommodate categorical dependent…
Descriptors: Regression (Statistics), Models, Predictor Variables, Predictive Measurement