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Alex Gibson; Paul Bywaters; John Stephenson; Jude Ranasinghe – UK Department for Education, 2025
LG Futures, The University of Huddersfield and the University of Plymouth were commissioned by the Ministry of Housing, Communities and Local Government (MHCLG) and the Department for Education (DfE) to develop a new model to show relative need to spend on Children and Young People's Services across local authorities in England. This formed part…
Descriptors: Foreign Countries, Social Services, Children, Funding Formulas
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Ann A. O'Connell; Nivedita Bhaktha; Jing Zhang – Society for Research on Educational Effectiveness, 2021
Background: Counts are familiar outcomes in education research settings, including those involving tests of interventions. Clustered data commonly occur in education research studies, given that data are often collected from students within classrooms or schools. There is a wide array of distributions and models that can be used for clustered…
Descriptors: Hierarchical Linear Modeling, Educational Research, Statistical Distributions, Multivariate Analysis
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Shen, Ting; Konstantopoulos, Spyros – Practical Assessment, Research & Evaluation, 2022
Large-scale assessment survey (LSAS) data are collected via complex sampling designs with special features (e.g., clustering and unequal probability of selection). Multilevel models have been utilized to account for clustering effects whereas the probability weighting approach (PWA) has been used to deal with design informativeness derived from…
Descriptors: Sampling, Weighted Scores, Hierarchical Linear Modeling, Educational Research
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Wang, Weimeng; Liao, Manqian; Stapleton, Laura – Educational Psychology Review, 2019
Many national and international educational data collection programs offer researchers opportunities to investigate contextual effects related to student performance. In those programs, schools are often used in the first-stage sampling process and students are randomly drawn from selected schools. However, the "incidental" dependence of…
Descriptors: Educational Research, Context Effect, Sampling, Children
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Park, Sunyoung; Natasha Beretvas, S. – Journal of Experimental Education, 2021
When selecting a multilevel model to fit to a dataset, it is important to choose both a model that best matches characteristics of the data's structure, but also to include the appropriate fixed and random effects parameters. For example, when researchers analyze clustered data (e.g., students nested within schools), the multilevel model can be…
Descriptors: Hierarchical Linear Modeling, Statistical Significance, Multivariate Analysis, Monte Carlo Methods
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Leroux, Audrey J. – Journal of Experimental Education, 2019
This study proposes a new model, termed the multiple membership piecewise growth model (MM-PGM), to handle individual mobility across clusters frequently encountered in longitudinal studies, especially in educational research wherein some students could attend multiple schools during the course of the study. A real data set containing some…
Descriptors: Student Mobility, Longitudinal Studies, Hierarchical Linear Modeling, Grade 1
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Hong, Yihua; Hong, Guanglei – AERA Open, 2021
This study is focused on the threat of retention associated with test-based promotion in Grade 3. Through analyzing the Early Childhood Longitudinal Study Kindergarten Class of 1998-1999 data, we found that schools having such a policy apparently increased math instructional time but not reading instructional time in Grade 3. On average, the…
Descriptors: Student Promotion, Tests, Time on Task, Grade 3
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Dray, Amy J. – Elementary School Journal, 2018
This study examines associations between reading comprehension and perspective taking for children who read 2 fictional stories. One story is rich in social and emotional content, describing a girl making new friends and experiencing an intergroup conflict. The other story contains less social content. The study uses hierarchical linear modeling…
Descriptors: Perspective Taking, Fiction, Comparative Analysis, Reading Comprehension
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Hartley, Sigan L.; DaWalt, Leann Smith; Schultz, Haley M. – Journal of Autism and Developmental Disorders, 2017
We examined daily couple experiences in 174 couples who had a child with autism spectrum disorder (ASD) relative to 179 couples who had a child without disabilities and their same-day association with parent affect. Parents completed a 14-day daily diary in which they reported time with partner, partner support, partner closeness, and positive and…
Descriptors: Spouses, Interpersonal Relationship, Children, Autism
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Ellis, Wendy; Zarbatany, Lynne; Chen, Xinyin; Kinal, Megan; Boyko, Lisa – Child Development, 2018
Peer group interactional style was examined as a moderator of the relation between peer group school misconduct and group members' school misconduct. Participants were 705 students (M[subscript age] = 11.59 years, SD = 1.37) in 148 peer groups. Children reported on their school misconduct in fall and spring. In the winter, group members were…
Descriptors: Behavior Problems, Task Analysis, Group Membership, Hierarchical Linear Modeling
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Pauls, Laura J.; Archibald, Lisa M. D. – Journal of Speech, Language, and Hearing Research, 2016
Purpose: Mounting evidence demonstrates deficits in children with specific language impairment (SLI) beyond the linguistic domain. Using meta-analysis, this study examined differences in children with and without SLI on tasks measuring inhibition and cognitive flexibility. Method: Databases were searched for articles comparing children (4-14…
Descriptors: Children, Executive Function, Language Impairments, Meta Analysis
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Dombrowski, Stefan C.; McGill, Ryan J.; Canivez, Gary L. – School Psychology Quarterly, 2018
The Woodcock-Johnson (fourth edition; WJ IV; Schrank, McGrew, & Mather, 2014a) was recently redeveloped and retains its linkage to Cattell-Horn-Carroll theory (CHC). Independent reviews (e.g., Canivez, 2017) and investigations (Dombrowski, McGill, & Canivez, 2017) of the structure of the WJ IV full test battery and WJ IV Cognitive have…
Descriptors: Factor Analysis, Achievement Tests, Cognitive Tests, Cognitive Ability
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Stapleton, Laura M.; Yang, Ji Seung; Hancock, Gregory R. – Journal of Educational and Behavioral Statistics, 2016
We present types of constructs, individual- and cluster-level, and their confirmatory factor analytic validation models when data are from individuals nested within clusters. When a construct is theoretically individual level, spurious construct-irrelevant dependency in the data may appear to signal cluster-level dependency; in such cases,…
Descriptors: Multivariate Analysis, Factor Analysis, Validity, Models
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McGill, Ryan J.; Canivez, Gary L. – Journal of Psychoeducational Assessment, 2016
As recommended by Carroll, the present study examined the factor structure of the Wechsler Intelligence Scale for Children-Fourth Edition Spanish (WISC-IV Spanish) normative sample using higher order exploratory factor analytic techniques not included in the WISC-IV Spanish Technical Manual. Results indicated that the WISC-IV Spanish subtests were…
Descriptors: Children, Intelligence Tests, Spanish, Factor Analysis
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Dicke, Theresa; Marsh, Herbert W.; Parker, Philip D.; Pekrun, Reinhard; Guo, Jiesi; Televantou, Ioulia – Journal of Educational Psychology, 2018
School-average achievement is often reported to have positive effects on individual achievement (peer spillover effect). However, it is well established that school-average achievement has negative effects on academic self-concept (big-fish-little-pond effect [BFLPE]) and that academic self-concept and achievement are positively correlated and…
Descriptors: Academic Achievement, Self Concept, Peer Influence, Children
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