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Chen, Jing; Lin, Tzu-Jung; Ku, Yu-Min; Zhang, Jie; O'Connell, Ann – Scientific Studies of Reading, 2018
Concept of word--the awareness of how words differ from nonwords or other linguistic properties--is important to learning to read Chinese because words in Chinese texts are not separated by space, and most characters can be productively compounded with other characters to form new words. The current study examined the effects of reader, word, and…
Descriptors: Vocabulary Development, Reading Comprehension, Chinese, Grade 5
Choi, Kilchan; Kim, Jinok – Journal of Educational and Behavioral Statistics, 2019
This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Longitudinal Studies, Cohort Analysis
Sulis, Isabella; Toland, Michael D. – Journal of Early Adolescence, 2017
Item response theory (IRT) models are the main psychometric approach for the development, evaluation, and refinement of multi-item instruments and scaling of latent traits, whereas multilevel models are the primary statistical method when considering the dependence between person responses when primary units (e.g., students) are nested within…
Descriptors: Hierarchical Linear Modeling, Item Response Theory, Psychometrics, Evaluation Methods
Van Laere, E.; Braak, J. – Journal of Computer Assisted Learning, 2017
Text-to-speech technology can act as an important support tool in computer-based learning environments (CBLEs) as it provides auditory input, next to on-screen text. Particularly for students who use a language at home other than the language of instruction (LOI) applied at school, text-to-speech can be useful. The CBLE E-Validiv offers content in…
Descriptors: Assistive Technology, Bilingualism, Computer Assisted Instruction, Language of Instruction
Downer, Jason T.; Stuhlman, Megan; Schweig, Jonathan; Martínez, José Felipe; Ruzek, Erik – Journal of Early Adolescence, 2015
This study applies multi-level analysis to student reports of effective teacher-student interactions in 50 upper elementary school classrooms (N = 594 fourth- and fifth-grade students). Observational studies suggest that teacher-student interactions fall into three domains: Emotional Support, Classroom Organization, and Instructional Support.…
Descriptors: Teacher Student Relationship, Elementary School Students, Elementary School Teachers, Grade 4
Elementary Student Perceptions of School Climate and Associations with Individual and School Factors
La Salle, Tamika P.; Zabek, Faith; Meyers, Joel – School Psychology Forum, 2016
School climate has increasingly been recognized as an essential component of school improvement owing to the established associations between a positive school climate and academic outcomes for students. Our study examines associations among a brief measure of school climate assessing elementary student perceptions and the College and Career Ready…
Descriptors: Educational Environment, College Readiness, Career Readiness, Correlation
Stevens, Joseph J.; Schulte, Ann C. – Journal of Learning Disabilities, 2017
This study examined mathematics achievement growth of students without disabilities (SWoD) and students with learning disabilities (LD) and tested whether growth and LD status interacted with student demographic characteristics. Growth was estimated in a statewide sample of 79,554 students over Grades 3 to 7. The LD group was significantly lower…
Descriptors: Learning Disabilities, Mathematics Instruction, Student Characteristics, Mathematics Achievement
Leos-Urbel, Jacob – Youth & Society, 2015
This article examines the relationship between after-school program quality, program attendance, and academic outcomes for a sample of low-income after-school program participants. Regression and hierarchical linear modeling analyses use a unique longitudinal data set including 29 after-school programs that served 5,108 students in Grades 4 to 8…
Descriptors: After School Programs, Program Effectiveness, Attendance, Academic Achievement
Cavalluzzo, Linda; Geraghty, Thomas M.; Steele, Jennifer L.; Holian, Laura; Jenkins, Frank; Alexander, Jane M.; Yamasaki, Kelsey Y. – CNA Corporation, 2014
The purpose of this study is to evaluate, using a randomized experimental design, the efficacy of TERC's "Using Data" program to change teacher behavior and improve student learning outcomes. The "Using Data" intervention provides professional development and technical assistance to teachers to help them use data…
Descriptors: Data, Program Effectiveness, Faculty Development, Intervention
Takanishi, Stacey M. – Journal on Educational Psychology, 2012
NCLB policies in the United States focus schools' efforts on implementing effective instructional processes to improve student outcomes. This study looks more specifically at how schools are perceived to be implementing state required curricula and benchmarks and developing teaching and learning processes that support the teaching of state…
Descriptors: Instructional Improvement, Mathematics Achievement, Achievement Gains, Hierarchical Linear Modeling
Wu, Xiaoying; Anderson, Richard C.; Nguyen-Jahiel, Kim; Miller, Brian – Journal of Educational Psychology, 2013
Fourth- and fifth-grade students' motivation and engagement during classroom discussions were investigated in 2 studies. Study 1 examined students' moment-by-moment engagement during collaborative peer-managed small-group discussions in comparison to conventional teacher-managed whole-class discussions. Study 2 evaluated the long term effects of…
Descriptors: Grade 4, Grade 5, Student Motivation, Learner Engagement