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Philip E. Kearney; Niamh Curran; Frank J. Nugent – Journal of Motor Learning and Development, 2025
Manipulation checks are an essential component of quality experimental design in motor learning. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework, this methodological systematic review examined the utilization of manipulation checks in focus of attention research. Seventy-eight protocols from four…
Descriptors: Attention Control, Attention Span, Motor Development, Psychomotor Skills
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von Hippel, Paul T. – Sociological Methods & Research, 2020
When using multiple imputation, users often want to know how many imputations they need. An old answer is that 2-10 imputations usually suffice, but this recommendation only addresses the efficiency of point estimates. You may need more imputations if, in addition to efficient point estimates, you also want standard error (SE) estimates that would…
Descriptors: Computation, Error of Measurement, Data Analysis, Children
Sullivan, Amanda L.; Weeks, Mollie R.; Kulkarni, Tara; Nguyen, Thuy – Communique, 2020
Large-scale analyses are a powerful and increasingly common tool for investigating a range of public health and social concerns (Pienta, O'Rourke, & Franks, 2011). This series will provide a primer on large-scale secondary analysis in school psychology, with this article focusing on considerations for researchers interested in applying and…
Descriptors: Data Analysis, School Psychology, Research Problems, Research Utilization
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Yucesoy-Ozkan, Serife; Rakap, Salih; Gulboy, Emrah – British Journal of Special Education, 2020
The purpose of this study was to compare 12 commonly-used nonoverlap methods with each other and with the results of visual analysis. Data were obtained from 25 studies focused on embedded instruction and schema-based instruction and included a total of 101 graphs. Treatment effect estimates using 12 nonoverlap methods were calculated for each…
Descriptors: Effect Size, Graphs, Data Analysis, Computation
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Mavridis, Dimitris; White, Ian R. – Research Synthesis Methods, 2020
Missing data result in less precise and possibly biased effect estimates in single studies. Bias arising from studies with incomplete outcome data is naturally propagated in a meta-analysis. Conventional analysis using only individuals with available data is adequate when the meta-analyst can be confident that the data are missing at random (MAR)…
Descriptors: Meta Analysis, Data Analysis, Statistical Bias, Outcome Measures
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Rüttenauer, Tobias – Sociological Methods & Research, 2022
Spatial regression models provide the opportunity to analyze spatial data and spatial processes. Yet, several model specifications can be used, all assuming different types of spatial dependence. This study summarizes the most commonly used spatial regression models and offers a comparison of their performance by using Monte Carlo experiments. In…
Descriptors: Models, Monte Carlo Methods, Social Science Research, Data Analysis
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Yagci, Mustafa – Smart Learning Environments, 2022
Educational data mining has become an effective tool for exploring the hidden relationships in educational data and predicting students' academic achievements. This study proposes a new model based on machine learning algorithms to predict the final exam grades of undergraduate students, taking their midterm exam grades as the source data. The…
Descriptors: Data Analysis, Academic Achievement, Prediction, Undergraduate Students
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Isbell, Daniel R.; Brown, Dan; Chen, Meishan; Derrick, Deidre J.; Ghanem, Romy; Arvizu, María Nelly Gutiérrez; Schnur, Erin; Zhang, Meixiu; Plonsky, Luke – Modern Language Journal, 2022
Scientific progress depends on the integrity of data and research findings. Intentionally distorting research data and findings constitutes scientific misconduct and introduces falsehoods into the scientific record. Unintentional distortions arising from questionable research practices (QRPs), such as unsystematically deleting outliers, pose…
Descriptors: Data Analysis, Applied Linguistics, Research Problems, Integrity
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Arfaee, Mohammad; Bahari, Arman; Khalilzadeh, Mohammad – Education and Information Technologies, 2022
Human resources training is considered an effective solution in empowering human resources. Organizations try to have effective educational planning for this precious resource by identifying shortcomings through a need assessment. This study provides a model based on organizational data analysis to achieve a unique and appropriate training…
Descriptors: Prediction, Models, Educational Planning, Data Analysis
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Shepley, Collin; Grisham-Brown, Jennifer; Lane, Justin D.; Ault, Melinda J. – Topics in Early Childhood Special Education, 2022
Progress-monitoring data collection is an essential skill for teachers serving children for whom the general curriculum is insufficient. As the field of early childhood education moves toward tiered service provision models, the importance of routine data collection is heightened. Therefore, we evaluated the effects of a training package on…
Descriptors: Early Childhood Education, Preschool Teachers, Teacher Behavior, Data Collection
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Sivia, Awneet; MacMath, Sheryl; Britton, Vandy – Studying Teacher Education, 2022
This article documents a year-long collaborative self-study of three teacher educators engaged in a practicum innovation in a teacher education program. This study, which is part of a larger study examining practicum-based seminars called "Particulars of Practice" (POP), focuses on exploring our own practices and identities within this…
Descriptors: Practicums, Teacher Educators, Teacher Education Programs, Mentors
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Brusco, Michael J. – INFORMS Transactions on Education, 2022
There are a variety of discrete facility location models that have practical relevance for operations management and management science courses. Integer linear programming (ILP) is the standard technique for solving such problems. An alternative approach that is often conceptually appealing to students is to pose the problem as one of finding the…
Descriptors: Problem Solving, Spreadsheets, Facilities, Geographic Location
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Heikkilä, Mia; Schaeffer, Jennie Andersson – International Journal of Research & Method in Education, 2022
Preschool, understood as being both a physical and psychological environment, is, according to objectives in national curriculum, required to be inclusive for all those who attend it. Previous studies have identified the stereotypical norms of several everyday activities of preschools, including both interactions and premises. The aim of this…
Descriptors: Educational Research, Research Methodology, Preschool Education, Data Analysis
Bocala, Candice; Boudett, Kathryn Parker – Educational Leadership, 2022
Collaborative data inquiry can help schools serve their students better and improve student outcomes--but only if equity is prioritized. Researchers from Harvard's Data Wise Project discuss the importance of using an equity lens when engaging in collaborative data inquiry and what this can mean in terms of disrupting system inequities.
Descriptors: Data Use, Data Analysis, Inquiry, Equal Education
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Siggard, Reagan; Dupin-Bryant, Pamela A.; Mills, Robert J.; Olsen, David H. – Journal of Information Systems Education, 2022
The SQL-Explore Learning Module detailed in this teaching tip provides an opportunity for students to apply database course knowledge beyond solving traditional pre-determined Structured Query Language (SQL) coding questions. In this unique constructivist activity using the apropos 5E Instructional Model, students explore tables to locate data…
Descriptors: Programming Languages, Databases, Coding, Tables (Data)
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