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Showing all 8 results Save | Export
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Baek, Eunkyeng; Luo, Wen; Henri, Maria – Journal of Experimental Education, 2022
It is common to include multiple dependent variables (DVs) in single-case experimental design (SCED) meta-analyses. However, statistical issues associated with multiple DVs in the multilevel modeling approach (i.e., possible dependency of error, heterogeneous treatment effects, and heterogeneous error structures) have not been fully investigated.…
Descriptors: Meta Analysis, Hierarchical Linear Modeling, Comparative Analysis, Statistical Inference
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Moeyaert, Mariola; Ugille, Maaike; Natasha Beretvas, S.; Ferron, John; Bunuan, Rommel; Van den Noortgate, Wim – International Journal of Social Research Methodology, 2017
This study investigates three methods to handle dependency among effect size estimates in meta-analysis arising from studies reporting multiple outcome measures taken on the same sample. The three-level approach is compared with the method of robust variance estimation, and with averaging effects within studies. A simulation study is performed,…
Descriptors: Meta Analysis, Effect Size, Robustness (Statistics), Hierarchical Linear Modeling
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Pauls, Laura J.; Archibald, Lisa M. D. – Journal of Speech, Language, and Hearing Research, 2016
Purpose: Mounting evidence demonstrates deficits in children with specific language impairment (SLI) beyond the linguistic domain. Using meta-analysis, this study examined differences in children with and without SLI on tasks measuring inhibition and cognitive flexibility. Method: Databases were searched for articles comparing children (4-14…
Descriptors: Children, Executive Function, Language Impairments, Meta Analysis
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Li, Hongli; Xiong, Yao; Zang, Xiaojiao; Kornhaber, Mindy L.; Lyu, Youngsun; Chung, Kyung Sun; Suen, Hoi K. – Assessment & Evaluation in Higher Education, 2016
Given the wide use of peer assessment, especially in higher education, the relative accuracy of peer ratings compared to teacher ratings is a major concern for both educators and researchers. This concern has grown with the increase of peer assessment in digital platforms. In this meta-analysis, using a variance-known hierarchical linear modelling…
Descriptors: Peer Evaluation, Comparative Analysis, Meta Analysis, Student Evaluation
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Pustejovsky, James E.; Hedges, Larry V.; Shadish, William R. – Journal of Educational and Behavioral Statistics, 2014
In single-case research, the multiple baseline design is a widely used approach for evaluating the effects of interventions on individuals. Multiple baseline designs involve repeated measurement of outcomes over time and the controlled introduction of a treatment at different times for different individuals. This article outlines a general…
Descriptors: Hierarchical Linear Modeling, Effect Size, Maximum Likelihood Statistics, Computation
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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
Wang, Jia; Schweig, Jonathan D.; Herman, Joan L. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2014
Magnet schools are one of the largest sectors of choice schools in the United States. In this study, we explored whether there is heterogeneity in magnet school effects on student achievement by examining the effectiveness of 24 recently funded magnet schools in 5 school districts across 4 states. We used a two-step analysis: First, separate…
Descriptors: Meta Analysis, Success, School Effectiveness, Magnet Schools
Westrick, Paul A. – ACT, Inc., 2015
This study examined the effects of differential grading in science, technology, engineering, and mathematics (STEM) and non-STEM fields over eight consecutive semesters. Using data from 62,122 students at 26 four-year postsecondary institutions, students were subdivided by institutional admission selectivity levels, gender, and student major…
Descriptors: Grading, Student Evaluation, STEM Education, Meta Analysis