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Jocelyn Wen-Ting Chang; Shruthi Venkatesh; Christine Ha; Stacey N. Doan – Merrill-Palmer Quarterly: A Peer Relations Journal, 2024
Sleep is vital for well-being. During the COVID-19 pandemic, significant disturbances in family life impacted both stress and sleep, particularly in parents of young children. In the context of parent-child relations, both maternal sleep and child sleep are likely to have inordinate impacts on maternal physiological functioning. This study…
Descriptors: Sleep, Longitudinal Studies, Well Being, Mothers
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Qian, Jiahe; Li, Shuhong – ETS Research Report Series, 2021
In recent years, harmonic regression models have been applied to implement quality control for educational assessment data consisting of multiple administrations and displaying seasonality. As with other types of regression models, it is imperative that model adequacy checking and model fit be appropriately conducted. However, there has been no…
Descriptors: Models, Regression (Statistics), Language Tests, Quality Control
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Buzick, Heather – ETS Research Report Series, 2021
The "Praxis"® Core Academic Skills for Educators (Core) tests are used in the teacher preparation program admissions process and as part of initial teacher licensure. The purpose of this study was to estimate the relationship between scores on Praxis Core tests and Praxis Subject Assessments and to test for differential prediction by…
Descriptors: Teacher Certification, Licensing Examinations (Professions), Prediction, Teacher Education Programs
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Kong, Xuejun; Liu, Jun; Liu, Kevin; Koh, Madelyn; Tian, Ruiyi; Hobbie, Clara; Fong, Michelle; Chen, Qiuyi; Zhao, Minxuan; Budjan, Christoph; Kong, Jian – Journal of Autism and Developmental Disorders, 2021
Autism spectrum disorder (ASD) is a complex neurological and developmental disorder, and a growing body of literature suggests the presence of autonomic nervous system (ANS) dysfunction in individuals with ASD. ANS is part of the "gut brain axis", which consists of an intricate interplay between the gut microbiome, mucosal immune system,…
Descriptors: Autism, Pervasive Developmental Disorders, Neurological Impairments, Human Body
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Trembath, David; Sutherland, Rebecca; Caithness, Teena; Dissanayake, Cheryl; Eapen, Valsamma; Fordyce, Kathryn; Frost, Grace; Iacono, Teresa; Mahler, Nicole; Masi, Anne; Paynter, Jessica; Pye, Katherine; Reilly, Sheena; Rose, Veronica; Sievers, Stephanie; Thirumanickam, Abirami; Westerveld, Marleen; Tucker, Madonna – Journal of Autism and Developmental Disorders, 2021
Our aim was to explore insights from clinical practice that may inform efforts to understand and account for factors that predict spoken language outcomes for children with Autism Spectrum Disorder who use minimal verbal language. We used a qualitative design involving three focus groups with 14 speech pathologists to explore their views and…
Descriptors: Autism, Pervasive Developmental Disorders, Children, Verbal Communication
Maher, Zachary K.; Erskine, Michelle E.; Byrd, Arynn S.; Harring, Jeffrey R.; Edwards, Jan R. – Language, Speech, and Hearing Services in Schools, 2021
Purpose: Many studies have found a correlation between overall usage rates of nonmainstream forms and reading scores, but less is known about which dialect differences are most predictive. Here, we consider different methods of characterizing African American English use from existing assessments and examine which methods best predict literacy…
Descriptors: Black Dialects, Emergent Literacy, Kindergarten, Grade 1
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Yildiz, Emre; Akdag, Sinan – International Journal of Progressive Education, 2021
This study aims to investigate the effect of cooperative story writing and cooperative writing on the academic achievement of prospective social studies teachers in contemporary world history and the relationship between learning writing and course success. The method of the study is a quasiexperimental design with pre-test and post-test…
Descriptors: Cooperative Learning, Content Area Writing, Teaching Methods, Academic Achievement
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Lo Presti, Alessandro; De Rosa, Assunta; Viceconte, Enrico – Journal of Workplace Learning, 2021
Purpose: Constant and frequent technological changes within organizations call for further scholarly attention, as behavioural intentions need to be coupled also with future learning intentions to predict the present and prospective individual adaptations and performance. This study, grounded on the technology acceptance model, aims to examine the…
Descriptors: Technology Integration, Behavior Change, Prediction, Training
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Lee, Jinhee – Early Child Development and Care, 2021
This study examined the effect of maternal employment status during the first year of a child's life on the trajectory of fathers' engagement with preschool-aged children, using the Fragile Families and Child Wellbeing Study (N = 969). Further, the role of resources was examined regarding the relationship between first-year maternal employment and…
Descriptors: Mothers, Employment Level, Parent Participation, Preschool Children
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Barbieri, Christina Areizaga; Young, Laura K.; Newton, Kristie J.; Booth, Julie L. – Child Development, 2021
Fraction knowledge and algebraic skill are closely linked. Algebra is a gatekeeper for advanced courses (Booth & Newton, 2012; Brown & Quinn, 2007). This study uses the person-centered approach of latent profile analysis to examine individual differences in middle schoolers' (N = 350) algebra performance at the end of the year (EOY). The…
Descriptors: Prediction, Middle School Students, Algebra, Mathematics Instruction
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Ursache, Alexandra; Robbins, Rebecca; Chung, Alicia; Dawson-McClure, Spring; Kamboukos, Dimitra; Calzada, Esther J.; Jean-Louis, Girardin; Brotman, Laurie Miller – Child Development, 2021
Children of color are more likely to have poor sleep health than White children, placing them at risk for behavioral problems in the classroom and lower academic performance. Few studies, however, have utilized standardized measures of both classroom behavior and achievement. This study examined whether children's sleep (parent and teacher report)…
Descriptors: Sleep, Student Behavior, Academic Achievement, Minority Group Students
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Kwok, Andrew; Rios, Ambyr Ruth; Keese, Jeffrey; Suárez, Mario; Worley, Cristina; Patterson, Megan; Mitchell, Douglas; Huston, Debbee – Teachers and Teaching: Theory and Practice, 2021
This mixed methods study investigates novice teacher and coach survey responses from a two-year induction programme to learn more about what makes a good match. We qualitatively analyse comments from all novice teachers and coaches who were paired across years and find shared themes of structural, professional, and personality similarities as well…
Descriptors: Interpersonal Relationship, Beginning Teachers, Beginning Teacher Induction, Coaching (Performance)
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Lowry, R. Stephan; Wagner, Dale R.; Bigler, Megan – Measurement in Physical Education and Exercise Science, 2021
BodyMetrix BX2000 A-mode ultrasound software offers nine options for estimating body fat percentage (%BF) from fat thickness measurements. These formulas were evaluated against %BF estimated from air displacement plethysmography in a sample of 42 men. Compared to the Bod Pod, three of the nine equations -- Jackson and Pollock 3 site (JP3), Jackson…
Descriptors: Body Composition, Measurement Equipment, Measurement Techniques, Error of Measurement
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Christmann, Edwin P.; Busi, Rich; Badgett, John L. – Research Issues in Contemporary Education, 2021
This study employed a multiple regression analysis to examine the relationship between academic aptitude and high school achievement factors to predict preservice mathematics teachers' college academic achievement. Specifically, an analysis of correlations and descriptive statistics was performed on predetermined academic factors of 67…
Descriptors: Grade Prediction, Preservice Teachers, Mathematics Teachers, Academic Achievement
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Grimm, Kevin J.; Helm, Jonathan; Rodgers, Danielle; O'Rourke, Holly – New Directions for Child and Adolescent Development, 2021
Developmental researchers often have research questions about cross-lag effects--the effect of one variable predicting a second variable at a subsequent time point. The cross-lag panel model (CLPM) is often fit to longitudinal panel data to examine cross-lag effects; however, its utility has recently been called into question because of its…
Descriptors: Comparative Analysis, Developmental Psychology, Prediction, Research Methodology
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