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Sahin, Harun; Akinci, Muhammed – Malaysian Online Journal of Educational Sciences, 2020
This research aims to determine the trends of the studies about in-service teacher training in Turkey. It is a descriptive study using document analysis based on qualitative research method. Various databases were searched and 56 articles about in-service teacher training between 2012 and 2019 were used and included in the study. The data of the…
Descriptors: Foreign Countries, Educational Research, Educational Trends, Inservice Teacher Education
von Oertzen, Timo; Schmiedek, Florian; Voelkle, Manuel C. – Journal of Intelligence, 2020
Properties of psychological variables at the mean or variance level can differ between persons and within persons across multiple time points. For example, cross-sectional findings between persons of different ages do not necessarily reflect the development of a single person over time. Recently, there has been an increased interest in the…
Descriptors: Cognitive Ability, Individual Differences, Statistical Analysis, Factor Analysis
Kopp, Jason P.; Jones, Andrew T. – Applied Measurement in Education, 2020
Traditional psychometric guidelines suggest that at least several hundred respondents are needed to obtain accurate parameter estimates under the Rasch model. However, recent research indicates that Rasch equating results in accurate parameter estimates with sample sizes as small as 25. Item parameter drift under the Rasch model has been…
Descriptors: Item Response Theory, Psychometrics, Sample Size, Sampling
Cox, Kyle; Kelcey, Benjamin – Journal of Experimental Education, 2019
We derive sample-allocation formulas that maximize the power of several mediation tests in two-level-group-randomized studies under a linear cost structure and fixed budget. The results suggest that the optimal individual sample size is typically smaller than that associated with the detection of a main effect and is frequently less than 10 under…
Descriptors: Sample Size, Statistical Analysis, Costs, Monte Carlo Methods
Gummer, Tobias; Blumenberg, Manuela S.; Roßmann, Joss – International Journal of Social Research Methodology, 2019
From the perspective of study management, research is surprisingly lacking on two of the major challenges for planning and performing content analysis: determining the sample size (i.e. number of objects to code) and the required number of coders to hire. The optimization of both of these numbers will ultimately determine how efficiently available…
Descriptors: Content Analysis, Sample Size, Coding, Research Administration
Hartmann, Christian; Rummel, Nikol; Bannert, Maria – Journal of Learning Analytics, 2022
This paper presents a fine-grained process analysis of 22 students in a classroom-based learning setting. The students engaged (and failed) in problem-solving attempts prior to instruction (i.e., the Productive-Failure approach). We used the HeuristicsMiner algorithm to analyze the data of a quasi-experimental study. The applied algorithm allowed…
Descriptors: Heuristics, Problem Solving, Computer Software, Comparative Analysis
Leung-Gagné, Melanie; Levin, Stephanie; Wechsler, Marjorie E. – Learning Policy Institute, 2022
This technical supplement provides details on the survey methodology and results presented in the report "Developing Effective Principals: What Kind of Learning Matters?" The full report shows that principals' access to high-quality learning opportunities varies across states and by school poverty level. To draw these conclusions, the…
Descriptors: Principals, Administrator Effectiveness, Administrator Education, Management Development
Abul Pitre; Jasmine Williams; Jocelyn Smith-Gray; Doñela Wright – Sage Research Methods Cases, 2022
The COVID-19 pandemic caused qualitative researchers to use virtual platforms more extensively than they had done in the past. This case study discusses how doctoral students who were completing their dissertations used the Zoom platform to conduct research that focused on social justice issues in education. It provides a historical backdrop of…
Descriptors: Social Justice, Research Methodology, Personal Narratives, COVID-19
Agbo, Friday Joseph; Sanusi, Ismaila Temitayo; Oyelere, Solomon Sunday; Suhonen, Jarkko – Education Sciences, 2021
This study investigated the role of virtual reality (VR) in computer science (CS) education over the last 10 years by conducting a bibliometric and content analysis of articles related to the use of VR in CS education. A total of 971 articles published in peer-reviewed journals and conferences were collected from Web of Science and Scopus…
Descriptors: Computer Simulation, Computer Science Education, Educational Research, Research Methodology
McNeish, Daniel; Peña, Armando; Vander Wyst, Kiley B.; Ayers, Stephanie L.; Olson, Micha L.; Shaibi, Gabriel Q. – Grantee Submission, 2021
Growth mixture models (GMMs) are applied to intervention studies with repeated measures to explore heterogeneity in the intervention effect. However, traditional GMMs are known to be difficult to estimate, especially at sample sizes common in single-center interventions. Common strategies to coerce GMMs to converge involve post-hoc adjustments to…
Descriptors: Prevention, Intervention, Growth Models, Program Effectiveness
Zhou, Sherry; Huggins-Manley, Anne Corinne – Educational and Psychological Measurement, 2020
The semi-generalized partial credit model (Semi-GPCM) has been proposed as a unidimensional modeling method for handling not applicable scale responses and neutral scale responses, and it has been suggested that the model may be of use in handling missing data in scale items. The purpose of this study is to evaluate the ability of the…
Descriptors: Models, Statistical Analysis, Response Style (Tests), Test Items
Erps, Ryan C.; Noguchi, Kimihiro – Journal of Educational and Behavioral Statistics, 2020
A new two-sample test for comparing variability measures is proposed. To make the test robust and powerful, a new modified structural zero removal method is applied to the Brown-Forsythe transformation. The t-test-based statistic allows results to be expressed as the ratio of mean absolute deviations from median. Extensive simulation study…
Descriptors: Statistical Analysis, Comparative Analysis, Robustness (Statistics), Sample Size
Kelcey, Ben; Spybrook, Jessaca; Dong, Nianbo; Bai, Fangxing – Journal of Research on Educational Effectiveness, 2020
Professional development for teachers is regarded as one of the principal pathways through which we can understand and cultivate effective teaching and improve student outcomes. A critical component of studies that seek to improve teaching through professional development is the detailed assessment of the intermediate teacher development processes…
Descriptors: Faculty Development, Educational Research, Randomized Controlled Trials, Research Design
No, Unkyung; Hong, Sehee – Educational and Psychological Measurement, 2018
The purpose of the present study is to compare performances of mixture modeling approaches (i.e., one-step approach, three-step maximum-likelihood approach, three-step BCH approach, and LTB approach) based on diverse sample size conditions. To carry out this research, two simulation studies were conducted with two different models, a latent class…
Descriptors: Sample Size, Classification, Comparative Analysis, Statistical Analysis
Sim, Julius; Saunders, Benjamin; Waterfield, Jackie; Kingstone, Tom – International Journal of Social Research Methodology, 2018
In his detailed response to our paper on sample size in qualitative research, Norman Blaikie raises important issues concerning conceptual definitions and taxonomy. In particular, he points out the problems associated with a loose, generic application of adjectives such as 'qualitative' or 'inductive'. We endorse this concern, though we suggest…
Descriptors: Sample Size, Sampling, Qualitative Research, Research Methodology

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