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Sijia Huang; Dubravka Svetina Valdivia – Educational and Psychological Measurement, 2024
Identifying items with differential item functioning (DIF) in an assessment is a crucial step for achieving equitable measurement. One critical issue that has not been fully addressed with existing studies is how DIF items can be detected when data are multilevel. In the present study, we introduced a Lord's Wald X[superscript 2] test-based…
Descriptors: Item Analysis, Item Response Theory, Algorithms, Accuracy
Cox, Kyle; Kelcey, Benjamin – Educational and Psychological Measurement, 2023
Multilevel structural equation models (MSEMs) are well suited for educational research because they accommodate complex systems involving latent variables in multilevel settings. Estimation using Croon's bias-corrected factor score (BCFS) path estimation has recently been extended to MSEMs and demonstrated promise with limited sample sizes. This…
Descriptors: Structural Equation Models, Educational Research, Hierarchical Linear Modeling, Sample Size
Resolving Dimensionality in a Child Assessment Tool: An Application of the Multilevel Bifactor Model
Akaeze, Hope O.; Lawrence, Frank R.; Wu, Jamie Heng-Chieh – Educational and Psychological Measurement, 2023
Multidimensionality and hierarchical data structure are common in assessment data. These design features, if not accounted for, can threaten the validity of the results and inferences generated from factor analysis, a method frequently employed to assess test dimensionality. In this article, we describe and demonstrate the application of the…
Descriptors: Measures (Individuals), Multidimensional Scaling, Tests, Hierarchical Linear Modeling
Lee LeBoeuf; Jacob Goldstein-Greenwood; Angeline S. Lillard – Journal of Research on Educational Effectiveness, 2024
Common methods of measuring discipline disproportionality can produce contradictory results and obscure base-rate information. In this paper, we show how using multilevel modeling to analyze discipline disparities resolves ambiguities inherent in traditional measures of disparities: relative rate ratios and risk differences. One previous study…
Descriptors: Discipline, Disproportionate Representation, Measurement Techniques, Hierarchical Linear Modeling
McCoach, D. Betsy; Rifenbark, Graham G.; Newton, Sarah D.; Li, Xiaoran; Kooken, Janice; Yomtov, Dani; Gambino, Anthony J.; Bellara, Aarti – Journal of Educational and Behavioral Statistics, 2018
This study compared five common multilevel software packages via Monte Carlo simulation: HLM 7, M"plus" 7.4, R (lme4 V1.1-12), Stata 14.1, and SAS 9.4 to determine how the programs differ in estimation accuracy and speed, as well as convergence, when modeling multiple randomly varying slopes of different magnitudes. Simulated data…
Descriptors: Hierarchical Linear Modeling, Computer Software, Comparative Analysis, Monte Carlo Methods
Zacher, Hannes; Robinson, Alecia J.; Rosing, Kathrin – Journal of Creative Behavior, 2016
The ambidexterity theory of leadership for innovation proposes that leaders' opening and closing behaviors positively predict employees' exploration and exploitation behaviors, respectively. The interaction of exploration and exploitation behaviors, in turn, is assumed to influence employee innovative performance, such that innovative performance…
Descriptors: Handedness, Leadership, Employees, Leaders
Lang, Sarah N.; Schoppe-Sullivan, Sarah J.; Jeon, Lieny – Early Education and Development, 2017
By adapting a self-administered assessment of coparenting, we sought to provide a new tool, the Cocaring Relationship Questionnaire, to measure parent-teacher, or cocaring relationships, and provide additional construct validity for the multidimensional concept of cocaring. Next, recognizing the importance of parental involvement for young…
Descriptors: Measurement Techniques, Parent Participation, Questionnaires, Interpersonal Relationship
Ferreira, P. Costa; Simão, A. M. Veiga; da Silva, A. Lopes – European Journal of Psychology of Education, 2017
This study aimed to understand how children reflect about learning, report their regulation of learning activity, and develop their performance in contemporary English as a Foreign Language instructional settings. A quasi-experimental design was used with one experimental group working in a self-regulated learning computer-supported instructional…
Descriptors: English (Second Language), Second Language Instruction, Second Language Learning, Learning Strategies
Cho, Sun-Joo; Preacher, Kristopher J. – Educational and Psychological Measurement, 2016
Multilevel modeling (MLM) is frequently used to detect cluster-level group differences in cluster randomized trial and observational studies. Group differences on the outcomes (posttest scores) are detected by controlling for the covariate (pretest scores) as a proxy variable for unobserved factors that predict future attributes. The pretest and…
Descriptors: Error of Measurement, Error Correction, Multivariate Analysis, Hierarchical Linear Modeling
Stapleton, Laura M.; Pituch, Keenan A.; Dion, Eric – Journal of Experimental Education, 2015
This article presents 3 standardized effect size measures to use when sharing results of an analysis of mediation of treatment effects for cluster-randomized trials. The authors discuss 3 examples of mediation analysis (upper-level mediation, cross-level mediation, and cross-level mediation with a contextual effect) with demonstration of the…
Descriptors: Effect Size, Measurement Techniques, Statistical Analysis, Research Design
Tanaka, Ayumi; Murayama, Kou – Journal of Educational Psychology, 2014
Despite the increasing number of studies examining the correlates of interest and boredom, surprisingly little research has focused on within-person fluctuations in these emotions, making it difficult to describe their situational nature. To address this gap in the literature, this study conducted repeated measurements (12 times) on a sample of…
Descriptors: Foreign Countries, Undergraduate Students, Interests, Psychological Patterns
Crick, Ruth Deakin; Barr, Steven; Green, Howard; Pedder, David – Educational Management Administration & Leadership, 2017
A continuing challenge for the education system is how to evaluate the wider outcomes of schools. Wider measures of success--such as citizenship or lifelong learning--influence each other and emerge over time from complex interactions between students, teachers and leaders, and the wider community. Unless methods are found to evaluate these…
Descriptors: Outcomes of Education, School Effectiveness, Academic Achievement, Computer Software
Owens, Julie Sarno; Schwartz, Madeleine E.; Erchul, William P.; Himawan, Lina K.; Evans, Steven W.; Coles, Erika K.; Schulte, Ann C. – Journal of Educational & Psychological Consultation, 2017
The goals were to (a) replicate the findings of previous research with regard to the Consultee/Teacher Version of the Interpersonal Power Inventory (IPI), and (b) advance the literature by examining IPI scores about a current consultation relationship. Sample 1 included 99 elementary school teachers (44.4% Hispanic) who completed the IPI. Results…
Descriptors: Replication (Evaluation), Teacher Attitudes, Consultants, Social Influences
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
McCoach, D. Betsy; Rambo, Karen E.; Welsh, Megan – Gifted Child Quarterly, 2013
This Methodological Brief gives an overview of statistical methods used to gauge academic growth and discusses issues surrounding the measurement of growth in gifted populations. To illustrate some of these issues, we describe a growth model that examines differences in summer lag between gifted and nongifted students. We also provide…
Descriptors: Academically Gifted, Measurement Objectives, Measurement Techniques, Achievement Gains
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