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Bolt, Daniel M.; Wang, Yang Caroline; Meyer, Robert H.; Pier, Libby – Policy Analysis for California Education, PACE, 2019
We illustrate the application of mixture IRT [item response theory] models to evaluate the possibility of respondent confusion due to the negative wording of certain items on a social-emotional learning (SEL) assessment. Using actual student self-report ratings on four social-emotional learning scales collected from students in grades 3-12 from…
Descriptors: Item Response Theory, Rating Scales, Test Items, Social Development
Diergarten, Anna Katharina; Nieding, Gerhild – Journal of Cognition and Development, 2015
Two studies examined inferences drawn about the protagonist's emotional state in movies (Study 1) or audiobooks (Study 2). Children aged 5, 8, and 10 years old and adults took part. Participants saw or heard 20 movie scenes or sections of audiobooks taken or adapted from the TV show Lassie. An online measure of emotional inference was designed…
Descriptors: Children, Adults, Inferences, Psychological Patterns
Aram, Dorit; Bergman Deitcher, Deborah; Adar, Gali – Reading Horizons, 2017
Experts in children's literature and child development value complexity in the language, socio-emotional content, and structure of books, yet little is known regarding parents' attitudes towards these aspects. The study thus examined how parents' gender, education, and profession, children's age and gender, and frequency of parent-child reading…
Descriptors: Parent Attitudes, Childrens Literature, Books, Age Differences
Turley, Joanne; Baker, Sally-Ann; Lewis, Christopher Alan – Pastoral Care in Education, 2014
There is growing interest in examining the use of mobile technology among children. The present study extended this literature among a sample of 9-11-year olds in Wales, UK in three ways. First, to examine the level of mobile phone ownership; second, to consider how mobile phones are used, investigate timescales and expectations when communicating…
Descriptors: Telecommunications, Handheld Devices, Educational Technology, Technology Uses in Education
Holmes, Venita – Houston Independent School District, 2015
The SELF Foundation engaged 287 students at Key, Revere, and Welch middle schools in afterschool tutorials and enrichment activities to support their academic, social, and emotional development. Program impact was measured using reading and math performance, attendance, and disciplinary actions of SELF Foundation students compared to…
Descriptors: At Risk Students, Middle School Students, Academic Ability, Student Development
El-Zraigat, Ibrahim A. – International Education Studies, 2013
The main purpose of the present study was to assess special needs for students with hearing impairment. The sample of the study consisted of 231 students enrolled at schools for deaf children in Jordan, 113 males and 118 females. A special needs scale was developed and used in assessing special needs for students. The reliability and validity of…
Descriptors: Foreign Countries, Hearing Impairments, Student Needs, Deafness
Zweig, Jacqueline; Irwin, Clare W.; Kook, Janna Fuccillo; Cox, Josh – Regional Educational Laboratory Northeast & Islands, 2015
The purpose of this study is to describe what data preschools in a mid-sized city in the Northeast collect, how they use that data, and the challenges they face. The study focuses on three types of data: early learning outcomes, dosage (i.e., the amount of exposure to early childhood education), and classroom quality. The report further…
Descriptors: Preschool Education, Data Collection, Early Childhood Education, Educational Quality

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