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Showing 1 to 15 of 26 results Save | Export
Aytürk, Ezgi; Cham, Heining; Jennings, Patricia A.; Brown, Joshua L. – Educational and Psychological Measurement, 2020
Methods to handle ordered-categorical indicators in latent variable interactions have been developed, yet they have not been widely applied. This article compares the performance of two popular latent variable interaction modeling approaches in handling ordered-categorical indicators: unconstrained product indicator (UPI) and latent moderated…
Descriptors: Evaluation Methods, Grade 3, Grade 4, Grade 5
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Dennie, David; Acharya, Parul; Greer, Deirdre; Bryant, Camille – Psychology in the Schools, 2019
The study examined the extent that teacher-student relationships (TSR) influenced basic psychological needs, engagement, and student growth using the self-systems process model as a framework using structural equation modeling. Based on prior research, it was hypothesized that context (TSR) influenced self (basic psychological needs), which…
Descriptors: Teacher Student Relationship, Class Activities, Learner Engagement, Grade 7
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Kalis, Emils; Roke, Liga; Krumina, Indra – Journal of Creative Behavior, 2016
The Test for Creative Thinking-Drawing Production (TCT-DP) is designed as an effective drawing-based instrument for measuring creative potential. Many studies report adaptation efforts in other cultures pointing out good psychometric properties of the instrument nonetheless revealing also some trouble spots. The present study includes adaptation…
Descriptors: Creative Thinking, Foreign Countries, Psychometrics, Gender Differences
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Lai, Emily R.; Wolfe, Edward W.; Vickers, Daisy – Educational and Psychological Measurement, 2015
This report summarizes an empirical study that addresses two related topics within the context of writing assessment--illusory halo and how much unique information is provided by multiple analytic scores. Specifically, we address the issue of whether unique information is provided by analytic scores assigned to student writing, beyond what is…
Descriptors: Writing Tests, Scores, Bias, Holistic Approach
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Tyler, Kenneth M.; Burris, Jennifer L.; Coleman, Sean T. – Journal of Early Adolescence, 2018
Disruptive classroom behaviors are a major schooling dilemma in urban schools. While several contextual and motivational factors have been statistically associated with disruptive classroom behaviors, one overlooked factor has been home-school dissonance. The current study examined the relationship between 260 middle school students' reports of…
Descriptors: Urban Schools, Middle School Students, Goal Orientation, Mastery Learning
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Jansen, Malte; Schroeders, Ulrich; Lüdtke, Oliver; Marsh, Herbert W. – Journal of Educational Psychology, 2015
Students evaluate their achievement in a specific domain in relation to their achievement in other domains and form their self-concepts accordingly. These comparison processes have been termed "dimensional comparisons" and shown to be an important source of academic self-concepts in addition to social and temporal comparisons. Research…
Descriptors: Comparative Analysis, Self Concept, Biology, Chemistry
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Veenendaal, Nathalie J.; Groen, Margriet A.; Verhoeven, Ludo – Scientific Studies of Reading, 2016
The purpose of this study was to examine the directionality of the relationship between text reading prosody and reading comprehension in the upper grades of primary school. We compared 3 theoretical possibilities: Two unidirectional relations from text reading prosody to reading comprehension and from reading comprehension to text reading prosody…
Descriptors: Reading Comprehension, Elementary School Students, Longitudinal Studies, Foreign Countries
Cho, Sun-Joo; Preacher, Kristopher J.; Bottge, Brian A. – Grantee Submission, 2015
Multilevel modeling (MLM) is frequently used to detect group differences, such as an intervention effect in a pre-test--post-test cluster-randomized design. Group differences on the post-test scores are detected by controlling for pre-test scores as a proxy variable for unobserved factors that predict future attributes. The pre-test and post-test…
Descriptors: Structural Equation Models, Hierarchical Linear Modeling, Intervention, Program Effectiveness
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Duggleby, Sandra J.; Tang, Wei; Kuo-Newhouse, Amy – Reading Psychology, 2016
This study examined the relationship between ninth-grade students' use of connectives (temporal, causal, adversative, and additive) in functional writing and performance on standards-based/criterion-referenced measures of reading and writing. Specifically, structural equation modeling (SEM) techniques were used to examine the relationship between…
Descriptors: Prediction, High School Students, Structural Equation Models, Reading Comprehension
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Kupiainen, Sirkku; Vainikainen, Mari-Pauliina; Marjanen, Jukka; Hautamäki, Jarkko – Journal of Educational Psychology, 2014
The role of time on task (TOT) for students' attainment in a low-stakes assessment of cross-curricular skills was examined using the log data collected in the computer-based assessment (CBA). Two structural equation models were compared: Model 1, in which students' test scores were explained by grade point average (GPA) together with mastery and…
Descriptors: Computer Assisted Testing, Time on Task, Grade Point Average, Scores
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Rose, Chad Allen; Espelage, Dorothy L.; Monda-Amaya, Lisa E.; Shogren, Karrie A.; Aragon, Steven R. – Journal of Learning Disabilities, 2015
The current study investigated demographic variables, sense of belonging, and social supports as predictors for involvement in bullying for students with specific learning disabilities (SLD) and students without disabilities. Although these student groups are characteristically different, results suggested involvement in bullying was invariant.…
Descriptors: Bullying, Middle School Students, Social Support Groups, Intervention
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Icoz, Kutay; Sanalan, Vehbi A.; Ozdemir, Esra Benli; Kaya, Sukru; Cakar, Mehmet Akif – Educational Sciences: Theory and Practice, 2015
Ontologies have often been recommended for E-learning systems, but few efforts have successfully incorporated student data to represent knowledge conceptualizations. Defining key concepts and their relations between each other establishes the backbone of our E-learning system. The system guides an individual student through his/her course by…
Descriptors: Electronic Learning, Technology Uses in Education, Educational Technology, Knowledge Level
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Anderson, Daniel; Farley, Dan; Tindal, Gerald – Journal of Special Education, 2015
Students with significant cognitive disabilities present an assessment dilemma that centers on access and validity in large-scale testing programs. Typically, access is improved by eliminating construct-irrelevant barriers, while validity is improved, in part, through test standardization. In this article, one state's alternate assessment data…
Descriptors: Mental Retardation, Evaluation Methods, Student Evaluation, Standardized Tests
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Nilsen, Trude; Gustafsson, Jan-Eric – Educational Research and Evaluation, 2014
We study whether changes in school emphasis on academic success (SEAS) and safe schools (SAFE) may explain the increased science performance in Norway between TIMSS 2007 and 2011. Two-level structural equation modelling (SEM) of merged TIMSS data was used to investigate whether changes in levels of SEAS and SAFE mediate the changes in science…
Descriptors: Academic Achievement, Success, Science Achievement, Performance Based Assessment
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Reed, Deborah K.; Petscher, Yaacov; Truckenmiller, Adrea J. – Reading Research Quarterly, 2017
This study explored the relationship between the reading ability and science achievement of students in grades 5, 8, and 9. Reading ability was assessed with four measures: word recognition, vocabulary, syntactic knowledge, and comprehension (23% of all passages were on science topics). Science achievement was assessed with state…
Descriptors: Reading Ability, Science Achievement, Middle School Students, Elementary School Students
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