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Rüttenauer, Tobias; Ludwig, Volker – Sociological Methods & Research, 2023
Fixed effects (FE) panel models have been used extensively in the past, as those models control for all stable heterogeneity between units. Still, the conventional FE estimator relies on the assumption of parallel trends between treated and untreated groups. It returns biased results in the presence of heterogeneous slopes or growth curves that…
Descriptors: Hierarchical Linear Modeling, Monte Carlo Methods, Statistical Bias, Computation
Clintin P. Davis-Stober; Jason Dana; David Kellen; Sara D. McMullin; Wes Bonifay – Grantee Submission, 2023
Conducting research with human subjects can be difficult because of limited sample sizes and small empirical effects. We demonstrate that this problem can yield patterns of results that are practically indistinguishable from flipping a coin to determine the direction of treatment effects. We use this idea of random conclusions to establish a…
Descriptors: Research Methodology, Sample Size, Effect Size, Hypothesis Testing
Ninaus, Manuel; Cortez, Rodolpho; Hazin, Izabel; Kiili, Kristian; Wortha, Silke M.; Klein, Elise; Weiss, Elisabeth M.; Moeller, Korbinian – Educational Technology Research and Development, 2023
Even though game elements can increase motivation and engagement, they also might distract learners and thereby decrease performance and learning outcomes. In the current study, we investigated the effects of intrinsically integrated game elements on performance and learning outcomes. In a pre-post training study, 85 adult participants were…
Descriptors: Adults, Game Based Learning, Computation, Outcomes of Education
Pearson, Christopher; Penna, Nigel – Assessment & Evaluation in Higher Education, 2023
E-assessments are becoming increasingly common and progressively more complex. Consequently, how these longer, more complex questions are designed and marked is imperative. This article uses the NUMBAS e-assessment tool to investigate the best practice for creating longer questions and their mark schemes on surveying modules taken by engineering…
Descriptors: Automation, Scoring, Engineering Education, Foreign Countries
Emel Çilingir Altiner; M. Cihangir Dogan – Journal of Educational Research, 2023
In this study, the visual estimation skills of fourth grade elementary school students based on their mathematical thinking processes were investigated. The research questions focus on understanding how students' mathematical thinking processes influence their visual estimation skills. A total of 445 students participated in the study. The…
Descriptors: Mathematical Logic, Problem Solving, Thinking Skills, Influences
Çiftçi, Ayse; Topçu, Mustafa Sami – Research in Science & Technological Education, 2023
Background: In order for computational thinking (CT) to be successfully implemented in educational environments, teachers' CT teaching self-efficacy beliefs should be developed. The existing research on this topic is generally focused on training in-service teachers on CT to develop their self-efficacy. Conversely, the current study aims to…
Descriptors: Early Childhood Education, Preservice Teachers, Computation, Thinking Skills
Daniel Jurich; Chunyan Liu – Applied Measurement in Education, 2023
Screening items for parameter drift helps protect against serious validity threats and ensure score comparability when equating forms. Although many high-stakes credentialing examinations operate with small sample sizes, few studies have investigated methods to detect drift in small sample equating. This study demonstrates that several newly…
Descriptors: High Stakes Tests, Sample Size, Item Response Theory, Equated Scores
Thomas Cook; Mansi Wadhwa; Jingwen Zheng – Society for Research on Educational Effectiveness, 2023
Context: A perennial problem in applied statistics is the inability to justify strong claims about cause-and-effect relationships without full knowledge of the mechanism determining selection into treatment. Few research designs other than the well-implemented random assignment study meet this requirement. Researchers have proposed partial…
Descriptors: Observation, Research Design, Causal Models, Computation
Leah Isseroff Bendavid – Journal of Chemical Education, 2023
This article presents computational chemistry exercises that are designed to be incorporated into an undergraduate physical chemistry course. This activity teaches computational chemistry as it is performed in higher-level research (in a command-line environment and executed on a high-performance computing cluster) to provide students with a…
Descriptors: Undergraduate Study, Chemistry, Computation, College Science
Joaqui´n Gonza´lez; Eduardo Laborda; A´ngela Molina – Journal of Chemical Education, 2023
Theoretical and practical foundations of basic electrochemical concepts of heterogeneous charge transfer reactions that underline electrochemical processes are presented for their detailed study by undergraduate and postgraduate students. Several simple methods for calculating key variables, such as the half-wave potential, limiting current, and…
Descriptors: Chemistry, College Science, Science Instruction, Computer Simulation
Yuqi Gu; Elena A. Erosheva; Gongjun Xu; David B. Dunson – Grantee Submission, 2023
Mixed Membership Models (MMMs) are a popular family of latent structure models for complex multivariate data. Instead of forcing each subject to belong to a single cluster, MMMs incorporate a vector of subject-specific weights characterizing partial membership across clusters. With this flexibility come challenges in uniquely identifying,…
Descriptors: Multivariate Analysis, Item Response Theory, Bayesian Statistics, Models
Tunahan Yilmaz; Serkan Izmirli – Journal of Educational Technology and Online Learning, 2023
The objective of this research was to investigate the influence of both unplugged and plugged coding activities on the computational thinking skills of secondary school students. Using an experimental design with a pretest-posttest control group, the study indicated that students enhanced their computational thinking skills through engagement in…
Descriptors: Coding, Computation, Thinking Skills, Computer Software
Hartmann, Julia; Herzog, Moritz; Fritz, Annemarie – International Electronic Journal of Elementary Education, 2022
The conceptual development of natural number in preschoolers is well-researched. However, less is known about the conceptual development of zero. Recent studies suggest that children develop an understanding of zero after learning to count. It remains unclear, when a conceptual understanding of "zero" as number word for an empty set…
Descriptors: Preschool Children, Number Concepts, Computation, Concept Formation
Cheung, Pierina; Toomey, Mary; Jiang, Yahao Harry; Stoop, Tawni B.; Shusterman, Anna – Developmental Science, 2022
Studies on children's understanding of counting examine when and how children acquire the cardinal principle: the idea that the last word in a counted set reflects the cardinal value of the set. Using Wynn's (1990) Give-N Task, researchers classify children who can count to generate large sets as having acquired the cardinal principle…
Descriptors: Computation, Performance, Number Concepts, Numeracy
Rachmatullah, Arif; Wiebe, Eric N. – Journal of Research in Science Teaching, 2022
Integral to fostering computational thinking (CT) skills, which are increasingly essential in today's digital era, has been the shift of paper-based pictorial modeling activities to computational modeling. Research has indicated that modeling activities can advance students' understanding of a system's mechanism (i.e., systems thinking), such as…
Descriptors: Middle School Students, Computation, Thinking Skills, Models