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Chan, Wendy; Oh, Jimin – Journal of Experimental Education, 2023
Many generalization studies in education are typically based on a sample of 30-70 schools while the inference population is at least twenty times larger. This small sample to population size ratio limits the precision of design-based estimators of the population average treatment effect. Prior work has shown the potential of small area estimation…
Descriptors: Generalization, Computation, Probability, Sample Size
Du, Han; Enders, Craig; Keller, Brian; Bradbury, Thomas N.; Karney, Benjamin R. – Grantee Submission, 2022
Missing data are exceedingly common across a variety of disciplines, such as educational, social, and behavioral science areas. Missing not at random (MNAR) mechanism where missingness is related to unobserved data is widespread in real data and has detrimental consequence. However, the existing MNAR-based methods have potential problems such as…
Descriptors: Bayesian Statistics, Data Analysis, Computer Simulation, Sample Size
Bahçeci, Ferhat; Yaratan, Ali Sercan – International Journal of Progressive Education, 2020
Augmented reality is a technology used in almost every stage of our daily life. It has become widespread in several fields such as engineering, healthcare, advertising, defense industry, and entertainment. The use of augmented reality technology that combines virtual and real environments is increasing every day. Augmented reality technology,…
Descriptors: Computer Simulation, Technology Integration, Educational Technology, Educational Research
Culbertson, Michael J. – Regional Educational Laboratory Central, 2016
States in the Regional Educational Laboratory (REL) Central region serve a largely rural population with many states enrolling fewer than 350,000 students. A common challenge identified among REL Central educators is identifying appropriate methods for analyzing data with small samples of students. In particular, members of the REL Central…
Descriptors: Student Development, Sample Size, Academic Achievement, Scores
Sirakaya, Mustafa; Alsancak Sirakaya, Didem – Malaysian Online Journal of Educational Technology, 2018
This study aimed to identify the trends in the studies conducted on Educational Augmented Reality (AR). 105 articles found in ERIC, EBSCOhost and ScienceDirect databases were reviewed with this purpose in mind. Analyses displayed that the number of educational AR studies has increased over the years. Quantitative methods were mostly preferred in…
Descriptors: Simulated Environment, Teaching Methods, Literature Reviews, Research Methodology
Bonett, Douglas G. – Journal of Educational and Behavioral Statistics, 2015
Paired-samples designs are used frequently in educational and behavioral research. In applications where the response variable is quantitative, researchers are encouraged to supplement the results of a paired-samples t-test with a confidence interval (CI) for a mean difference or a standardized mean difference. Six CIs for standardized mean…
Descriptors: Educational Research, Sample Size, Statistical Analysis, Effect Size
Ozdemir, Muzaffer; Sahin, Cavus; Arcagok, Serdar; Demir, M. Kaan – Eurasian Journal of Educational Research, 2018
Purpose: The aim of this research is to investigate the effect of Augmented Reality (AR) applications in the learning process. Problem: Research that determines the effectiveness of Augmented Reality (AR) applications in the learning process with different variables has not been encountered in national or international literature. Research…
Descriptors: Meta Analysis, Learning Processes, Journal Articles, Technology Uses in Education
Temel, Gülhan Orekici; Erdogan, Semra; Selvi, Hüseyin; Kaya, Irem Ersöz – Educational Sciences: Theory and Practice, 2016
Studies based on longitudinal data focus on the change and development of the situation being investigated and allow for examining cases regarding education, individual development, cultural change, and socioeconomic improvement in time. However, as these studies require taking repeated measures in different time periods, they may include various…
Descriptors: Investigations, Sample Size, Longitudinal Studies, Interrater Reliability
Demirer, Veysel; Erbas, Cagdas – Turkish Online Journal of Distance Education, 2016
This study aims to review studies on virtual learning environments in Turkey through the content analysis method. 63 studies consisting of thesis, articles and proceedings published in Turkish and English between 1996-2014 years were analyzed. It was observed that "Second Life" was mostly preferred as the virtual learning environment.…
Descriptors: Foreign Countries, Virtual Classrooms, Electronic Learning, Educational Trends
Wang, Feihong; Burton, John K. – British Journal of Educational Technology, 2013
The purpose of this review was to explore how Second Life (SL) has been discussed, investigated and applied in education from its launch to present. Two research questions guided the review: (1) what are the annual publication number and its percentage of empirical studies?; (2) what are the characteristics of the empirical studies regarding the…
Descriptors: Literature Reviews, Educational Technology, Bibliometrics, Virtual Classrooms
Gray, David – International Journal of Learning and Change, 2012
To help increase the effectiveness of self-directed teams, this paper studies the attitudes and behaviour of self-directed team members during the course of a computer simulated marketing strategy game. Self-directed teams are used widely throughout organisations yet receive little scrutiny when they undertake a task which is subject to conditions…
Descriptors: Emotional Intelligence, Teamwork, Marketing, Learning
Ray, Darrell L. – American Biology Teacher, 2013
Students often enter biology programs deficient in the math and computational skills that would enhance their attainment of a deeper understanding of the discipline. To address some of these concerns, I developed a series of spreadsheet simulation exercises that focus on some of the mathematical foundations of scientific inquiry and the benefits…
Descriptors: Science Instruction, Mathematics Skills, Educational Technology, Spreadsheets
Kubinger, Klaus D.; Rasch, Dieter; Yanagida, Takuya – Educational Research and Evaluation, 2011
Though calibration of an achievement test within psychological and educational context is very often carried out by the Rasch model, data sampling is hardly designed according to statistical foundations. However, Kubinger, Rasch, and Yanagida (2009) recently suggested an approach for the determination of sample size according to a given Type I and…
Descriptors: Sample Size, Simulation, Testing, Achievement Tests
Slocum-Gori, Suzanne L.; Zumbo, Bruno D. – Social Indicators Research, 2011
Whenever one uses a composite scale score from item responses, one is tacitly assuming that the scale is dominantly unidimensional. Investigating the unidimensionality of item response data is an essential component of construct validity. Yet, there is no universally accepted technique or set of rules to determine the number of factors to retain…
Descriptors: Sample Size, Construct Validity, Measures (Individuals), Hypothesis Testing
Lee, Hollylynne Stohl; Angotti, Robin L.; Tarr, James E. – Statistics Education Research Journal, 2010
We examined how middle school students reason about results from a computer-simulated die-tossing experiment, including various representations of data, to support or refute an assumption that the outcomes on a die are equiprobable. We used students' actions with the software and their social interactions to infer their expectations and whether or…
Descriptors: Middle School Students, Grade 6, Comparative Analysis, Hypothesis Testing

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