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Lee, HyeSun – Applied Measurement in Education, 2018
The current simulation study examined the effects of Item Parameter Drift (IPD) occurring in a short scale on parameter estimates in multilevel models where scores from a scale were employed as a time-varying predictor to account for outcome scores. Five factors, including three decisions about IPD, were considered for simulation conditions. It…
Descriptors: Test Items, Hierarchical Linear Modeling, Predictor Variables, Scores
Yang, Guang; Badri, Masood; Al Rashedi, Asma; Almazroui, Karima – Journal of Research in International Education, 2018
The employment of expatriate teachers is explored here through the perspective of their organisational commitment. Drawing on the results of a public school teacher survey conducted in the Emirate of Abu Dhabi in 2014, this study used a multilevel framework to investigate the effects of teacher characteristics, school environment, and district…
Descriptors: Foreign Nationals, Public School Teachers, Hierarchical Linear Modeling, Foreign Countries
Lorah, Julie – Large-scale Assessments in Education, 2018
Effect size reporting is crucial for interpretation of applied research results and for conducting meta-analysis. However, clear guidelines for reporting effect size in multilevel models have not been provided. This report suggests and demonstrates appropriate effect size measures including the ICC for random effects and standardized regression…
Descriptors: Effect Size, Hierarchical Linear Modeling, Definitions, Regression (Statistics)
Holt, Laura J.; Fifer, James E. – Journal of College Student Retention: Research, Theory & Practice, 2018
Peer mentoring programs frequently are implemented on college campuses to enhance first-year college student retention; however, few studies have examined characteristics of peer mentors that are associated with more supportive mentor-mentee relationships, leaving college personnel with a limited understanding of how to improve these vital…
Descriptors: Mentors, Peer Relationship, College Freshmen, Academic Persistence
Wu, Jason Hsinchieh; Lin, Chunn-Ying – Asia Pacific Education Review, 2018
Research on teacher and school academic optimism has abounded ever since these two constructs were confirmed and shown to have positive effects on student achievement. However, one overlooked research question is the nested association between teacher and school academic optimism. This study intends to fill this gap by using hierarchical linear…
Descriptors: Hierarchical Linear Modeling, Elementary School Students, Elementary School Teachers, Foreign Countries
Theobald, Elli – CBE - Life Sciences Education, 2018
Discipline-based education researchers have a natural laboratory--classrooms, programs, colleges, and universities. Studies that administer treatments to multiple sections, in multiple years, or at multiple institutions are particularly compelling for two reasons: first, the sample sizes increase, and second, the implementation of the treatments…
Descriptors: Educational Research, Hierarchical Linear Modeling, Program Implementation, Predictor Variables
Kiat, John Emmanuel; Ong, Ai Rene; Ganesan, Asha – Educational Psychology, 2018
Multiple-choice questions (MCQs) play a key role in standardised testing and in-class assessment. Research into the influence of within-item response order on MCQ characteristics has been mixed. While some researchers have shown preferential selection of response options presented earlier in the answer list, others have failed to replicate these…
Descriptors: Undergraduate Students, Multiple Choice Tests, Attention Control, Item Response Theory
Niehaus, Elizabeth; Campbell, Corbin M.; Inkelas, Karen Kurotsuchi – Research in Higher Education, 2014
Hierarchical linear modeling (HLM) has become increasingly popular in the higher education literature, but there is significant variability in the current approaches to the conducting and reporting of HLM. The field currently lacks a general consensus around important issues such as the number of levels of analysis that are important to include…
Descriptors: Hierarchical Linear Modeling, Educational Research, Higher Education
Cook, Michael; Ross, Steven M. – Center for Research and Reform in Education, 2022
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction that met Curriculum Associates' recommended usage levels on ELA achievement, as measured by the Massachusetts Comprehensive Assessment System (MCAS) ELA assessment. This study compared the ELA achievement growth in the 2020-21 school year of students who…
Descriptors: English, Language Arts, Computer Assisted Instruction, Computer Assisted Testing
Adelson, Jill L.; Cash, Kathleen M.; Pittard, Caroline M.; Sherretz, Christine E.; Pössel, Patrick; Blackburn, Allison D. – Journal of Advanced Academics, 2019
The Reading and Me Survey (R&MS) measures reading self-perceptions and enjoyment of reading of intermediate elementary students and parallels the Math & Me Survey (M&MS). We examined its psychometric properties through content validation, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and reliability and…
Descriptors: Self Concept, Literature Appreciation, Reading Attitudes, Student Attitudes
Hewitt, Krissi M.; Bouwma-Gearhart, Jana; Kitada, Heather; Mason, Robert; Kayes, Lori J. – CBE - Life Sciences Education, 2019
We investigated the effects of a laboratory curriculum developed using the socio-scientific issues (SSI) framework to contextualize scientific and socially relevant issues for students. Using self-determination theory and hierarchical linear modeling, we examined the effects of the SSI curriculum relative to a control curriculum on student…
Descriptors: Introductory Courses, Biology, Science Instruction, Science Laboratories
Sweet, Tracy M.; Junker, Brian W. – Journal of Educational and Behavioral Statistics, 2016
The hierarchical network model (HNM) is a framework introduced by Sweet, Thomas, and Junker for modeling interventions and other covariate effects on ensembles of social networks, such as what would be found in randomized controlled trials in education research. In this article, we develop calculations for the power to detect an intervention…
Descriptors: Intervention, Social Networks, Statistical Analysis, Computation
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
Grigg, Jeffrey; Connolly, Faith; D'Souza, Stephanie; Mitchell, Charlie – Baltimore Education Research Consortium, 2016
This brief examines kindergarten readiness and attendance in kindergarten for children enrolled in publicly provided early education programs as well as similar children who entered kindergarten without enrolling in these programs. Key findings detail the effects for children if they were enrolled for at least 90 calendar days as a three- or…
Descriptors: Kindergarten, School Readiness, Attendance, Early Childhood Education
Sannicandro, Tom – ProQuest LLC, 2016
The low employment rates of individuals with intellectual disabilities (ID) are a major concern. In 2011 only 34% of adults with ID were employed compared to 76% of adults without disabilities (Siperstein, Parker, & Drascher, 2013). Higher educational attainment is associated with higher employment rates for students with ID (Smith, Grigal,…
Descriptors: Intellectual Disability, Postsecondary Education, Education Work Relationship, Employment

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