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Winton, Bradley G.; Sabol, Misty A. – International Journal of Social Research Methodology, 2022
Convenience sampling dominates social science research. But there is a paucity of studies comparing the impact of sample source type based on composite-based theoretical model relationships. This study empirically tests four different sample sources (e.g. student, crowdsourced, professional panel, and respondent driven social network) to assess…
Descriptors: Sampling, Sample Size, Social Science Research, Measurement
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Egmir, Eray; Erdem, Cahit; Koçyigit, Mehmet – International Journal of Instruction, 2017
The aim of this study is to analyse the studies published in "International Journal of Instruction" ["IJI"] in the last ten years. This study is a qualitative, descriptive literature review study. The data was collected through document analysis, coded using constant comparison and analysed using content analysis. Frequencies…
Descriptors: Content Analysis, Periodicals, Statistical Analysis, Sampling
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Tipton, Elizabeth; Pustejovsky, James E. – Society for Research on Educational Effectiveness, 2015
Randomized experiments are commonly used to evaluate the effectiveness of educational interventions. The goal of the present investigation is to develop small-sample corrections for multiple contrast hypothesis tests (i.e., F-tests) such as the omnibus test of meta-regression fit or a test for equality of three or more levels of a categorical…
Descriptors: Randomized Controlled Trials, Sample Size, Effect Size, Hypothesis Testing
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Ugille, Maaike; Moeyaert, Mariola; Beretvas, S. Natasha; Ferron, John M.; Van den Noortgate, Wim – Journal of Experimental Education, 2014
A multilevel meta-analysis can combine the results of several single-subject experimental design studies. However, the estimated effects are biased if the effect sizes are standardized and the number of measurement occasions is small. In this study, the authors investigated 4 approaches to correct for this bias. First, the standardized effect…
Descriptors: Effect Size, Statistical Bias, Sample Size, Regression (Statistics)
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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
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Maggin, Daniel M.; O'Keeffe, Breda V.; Johnson, Austin H. – Exceptionality, 2011
The purpose of this review was to examine the methods used to conduct meta-analyses of single-subject research involving students with and at-risk for disabilities. Specifically, the procedures used for preparing, aggregating, analyzing, and evaluating single-subject data across 68 primary syntheses were examined. In addition to these…
Descriptors: Research Design, Disabilities, Meta Analysis, Statistical Analysis
Du, Yunfei – 2002
This paper discusses the impact of sampling error on the construction of confidence intervals around effect sizes. Sampling error affects the location and precision of confidence intervals. Meta-analytic resampling demonstrates that confidence intervals can haphazardly bounce around the true population parameter. Special software with graphical…
Descriptors: Computer Software, Effect Size, Error of Measurement, Meta Analysis
Boser, Judith A.; And Others – 1996
The research on response facilitation factors in mail surveys is reviewed, and background is developed to enable the comparison of results obtained by two analytic approaches, a descriptive analysis and a meta-analysis, using the same set of studies. Specific criteria for sample and methodology were applied to studies extracted from four CD-ROM…
Descriptors: Comparative Analysis, Databases, Effect Size, Mail Surveys