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Ottley, Jennifer Riggie; Ferron, John M.; Hanline, Mary Frances – Grantee Submission, 2016
The purpose of this study was to explain the variability in data collected from a single-case design study and to identify predictors of communicative outcomes for children with developmental delays or disabilities (n = 4). Using SAS® University Edition, we fit multilevel models with time nested within children. Children's level of baseline…
Descriptors: Communication (Thought Transfer), Hierarchical Linear Modeling, Research Design, Predictor Variables
Phillips, Cecil John – ProQuest LLC, 2016
The purpose of this collective case study is to examine the decisional ethic Christian school administrators employ when evaluating textbooks for adoption in Christian schools. The study affirms the truism that Christian schools ought to be decidedly Christian and focuses upon textbook adoption practices in Christian schools. A multisite,…
Descriptors: Christianity, Decision Making, Models, Case Studies
Doabler, Christian T.; Clarke, Ben; Kosty, Derek B.; Baker, Scott K.; Smolkowski, Keith; Fien, Hank – Grantee Submission, 2016
There is a dearth of research on Tier 1 instruction designed to improve the mathematics achievement of English learners. This study examined the impact of a core kindergarten mathematics curriculum on the mathematics achievement of Spanish-speaking English learners (SS-ELs). Secondary aims tested for differential response to the curriculum among…
Descriptors: Kindergarten, Core Curriculum, Mathematics Curriculum, Mathematics Achievement
Roschelle, Jeremy; Feng, Mingyu; Murphy, Robert F.; Mason, Craig A. – Grantee Submission, 2016
In a randomized field trial with 2,850 seventh-grade mathematics students, we evaluated whether an educational technology intervention increased mathematics learning. Assigning homework is common yet sometimes controversial. Building on prior research on formative assessment and adaptive teaching, we predicted that combining an online homework…
Descriptors: Mathematics Instruction, Homework, Electronic Learning, Mathematics Achievement
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Christian T. Doabler; Ben Clarke; Derek B. Kosty; Scott K. Baker; Keith Smolkowski; Hank Fien – School Psychology Review, 2016
There is a dearth of research on Tier 1 instruction designed to improve the mathematics achievement of English learners. This study examined the impact of a core kindergarten mathematics curriculum on the mathematics achievement of Spanish-speaking English learners (SS-ELs). Secondary aims tested for differential response to the curriculum among…
Descriptors: Kindergarten, Core Curriculum, Mathematics Curriculum, Mathematics Achievement
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Malmberg, Lars-Erik; Hagger, Hazel; Webster, Sophie – European Journal of Psychology of Education, 2014
Following a model on the cyclical nature of teacher ("trait") self-efficacy and context-, task- and situation-specific ("state") "mastery experiences" (TSSME), we investigated the variability and effects of lesson characteristics (e.g. lesson sequence), student group characteristics (e.g. proportion of students…
Descriptors: Teachers, Self Efficacy, Teaching Experience, Teacher Characteristics
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Vaughan, Angela L.; Lalonde, Trent L.; Jenkins-Guarnieri, Michael A. – Research in Higher Education, 2014
Many researchers assessing the efficacy of educational programs face challenges due to issues with non-randomization and the likelihood of dependence between nested subjects. The purpose of the study was to demonstrate a rigorous research methodology using a hierarchical propensity score matching method that can be utilized in contexts where…
Descriptors: Higher Education, Academic Achievement, Educational Assessment, Hierarchical Linear Modeling
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Wagler, Amy E. – Journal of Educational and Behavioral Statistics, 2014
Generalized linear mixed models are frequently applied to data with clustered categorical outcomes. The effect of clustering on the response is often difficult to practically assess partly because it is reported on a scale on which comparisons with regression parameters are difficult to make. This article proposes confidence intervals for…
Descriptors: Hierarchical Linear Modeling, Cluster Grouping, Heterogeneous Grouping, Monte Carlo Methods
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Wu, Jiun-Yu; Kwok, Oi-Man; Willson, Victor L. – Journal of Experimental Education, 2014
The authors compared the effects of using the true Multilevel Latent Growth Curve Model (MLGCM) with single-level regular and design-based Latent Growth Curve Models (LGCM) with or without the higher-level predictor on various criterion variables for multilevel longitudinal data. They found that random effect estimates were biased when the…
Descriptors: Longitudinal Studies, Hierarchical Linear Modeling, Prediction, Regression (Statistics)
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Cheong, Yuk Fai; Kamata, Akihito – Applied Measurement in Education, 2013
In this article, we discuss and illustrate two centering and anchoring options available in differential item functioning (DIF) detection studies based on the hierarchical generalized linear and generalized linear mixed modeling frameworks. We compared and contrasted the assumptions of the two options, and examined the properties of their DIF…
Descriptors: Test Bias, Hierarchical Linear Modeling, Comparative Analysis, Test Items
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Ekas, Naomi V.; Haltigan, John D.; Messinger, Daniel S. – Developmental Psychology, 2013
The still-face paradigm (SFP) was designed to assess infant expectations that parents will respond to infant communicative signals. During the still-face (SF) episode, the parent ceases interaction and maintains a neutral expression. Original, qualitative descriptions of infant behavior suggested changes within the SF episode: infants decrease…
Descriptors: Infant Behavior, Behavior Change, Infants, Parents
Zhu, Xiaoshu – ProQuest LLC, 2013
The current study introduced a general modeling framework, multilevel mixture IRT (MMIRT) which detects and describes characteristics of population heterogeneity, while accommodating the hierarchical data structure. In addition to introducing both continuous and discrete approaches to MMIRT, the main focus of the current study was to distinguish…
Descriptors: Item Response Theory, Models, Comparative Analysis, Goodness of Fit
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Hecht, Martin; Weirich, Sebastian; Siegle, Thilo; Frey, Andreas – Educational and Psychological Measurement, 2015
The selection of an appropriate booklet design is an important element of large-scale assessments of student achievement. Two design properties that are typically optimized are the "balance" with respect to the positions the items are presented and with respect to the mutual occurrence of pairs of items in the same booklet. The purpose…
Descriptors: Measurement, Computation, Test Format, Test Items
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Ilies, Remus; Huth, Megan; Ryan, Ann Marie; Dimotakis, Nikolaos – Journal of Educational Psychology, 2015
This study examined the intraindividual relationships among workload and affective distress; cognitive, physical, and emotional fatigue; and work-family conflict among school employees. Using a repeated-measure, within-person research design, the authors found that work demands and affective distress, as well as cognitive, emotional, and physical…
Descriptors: Faculty Workload, Family Work Relationship, Conflict, Spouses
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Rambo-Hernandez, Karen E.; McCoach, D. Betsy – Journal of Educational Research, 2015
Much is unknown about how initially high-achieving students grow academically, especially given the measurement issues inherent in assessing growth for the highest performing students. This study compared initially high-achieving and average students' growth in reading (in a cohort of third-grade students from 2,000 schools) over 3 years.…
Descriptors: Reading Achievement, Reading Improvement, High Achievement, Longitudinal Studies
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