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Direct linkShaw, Mairead; Flake, Jessica K. – Educational Measurement: Issues and Practice, 2023
Clustered data structures are common in many areas of educational and psychological research (e.g., students clustered in schools, patients clustered by clinician). In the course of conducting research, questions are often administered to obtain scores reflecting latent constructs. Multilevel measurement models (MLMMs) allow for modeling…
Descriptors: Hierarchical Linear Modeling, Research Methodology, Data Analysis, Structural Equation Models
Casabianca, Jodi M. – Educational Measurement: Issues and Practice, 2021
Module Overview: In this digital ITEMS module, Dr. Jodi M. Casabianca provides a primer on the "hierarchical rater model" (HRM) framework and the recent expansions to the model for analyzing raters and ratings of constructed responses. In the first part of the module, she establishes an understanding of the nature of constructed…
Descriptors: Hierarchical Linear Modeling, Rating Scales, Error of Measurement, Item Response Theory
Schweig, Jonathan D.; Yuan, Kun – Educational Measurement: Issues and Practice, 2019
School climate surveys are central to school improvement and principal evaluation policies. The quality of school climate has been linked both to student achievement and to teacher retention. Oftentimes, policymakers and practitioners are concerned with monitoring change in school climate quality in each academic year. Such applications assume…
Descriptors: Educational Environment, Surveys, Hierarchical Linear Modeling, Longitudinal Studies
Wolf, Mikyung Kim; Faulkner-Bond, Molly – Educational Measurement: Issues and Practice, 2016
States use standards-based English language proficiency (ELP) assessments to inform relatively high-stakes decisions for English learner (EL) students. Results from these assessments are one of the primary criteria used to determine EL students' level of ELP and readiness for reclassification. The results are also used to evaluate the…
Descriptors: High Stakes Tests, Language Proficiency, Hierarchical Linear Modeling, Scores
Kosh, Audra E.; Greene, Jeffrey A.; Murphy, P. Karen; Burdick, Hal; Firetto, Carla M.; Elmore, Jeff – Educational Measurement: Issues and Practice, 2018
We explored the feasibility of using automated scoring to assess upper-elementary students' reading ability through analysis of transcripts of students' small-group discussions about texts. Participants included 35 fourth-grade students across two classrooms that engaged in a literacy intervention called Quality Talk. During the course of one…
Descriptors: Computer Assisted Testing, Small Group Instruction, Group Discussion, Student Evaluation
The Effects of Read-Aloud Accommodations for Students with and without Disabilities: A Meta-Analysis
Li, Hongli – Educational Measurement: Issues and Practice, 2014
Read-aloud accommodations have been proposed as a way to help remove barriers faced by students with disabilities in reading comprehension. Many empirical studies have examined the effects of read-aloud accommodations; however, the results are mixed. With a variance-known hierarchical linear modeling approach, based on 114 effect sizes from 23…
Descriptors: Reading Instruction, Reading Strategies, Reading Comprehension, Barriers
