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Brunner, Martin; Keller, Lena; Stallasch, Sophie E.; Kretschmann, Julia; Hasl, Andrea; Preckel, Franzis; Lüdtke, Oliver; Hedges, Larry V. – Research Synthesis Methods, 2023
Descriptive analyses of socially important or theoretically interesting phenomena and trends are a vital component of research in the behavioral, social, economic, and health sciences. Such analyses yield reliable results when using representative individual participant data (IPD) from studies with complex survey designs, including educational…
Descriptors: Meta Analysis, Surveys, Research Design, Educational Research
Research Trends on the Use of Augmented Reality Technology in Teaching English as a Foreign Language
Takkaç Tulgar, Aysegül; Yilmaz, Rabia Meryem; Topu, Fatma Burcu – Participatory Educational Research, 2022
The main aim of this research is to display research trends in studies on augmented reality (AR) in teaching English as a foreign language by using bibliometric mapping and content analysis. For this purpose, 64 studies in total published up to 2019 were accessed for bibliometric analysis. In addition, 49 articles published between 2007 and 2019…
Descriptors: Technology Uses in Education, Computer Simulation, Educational Technology, Second Language Instruction
Wong, Vivian C.; Valentine, Jeffrey C.; Miller-Bains, Kate – Journal of Research on Educational Effectiveness, 2017
This article summarizes results from 12 empirical evaluations of observational methods in education contexts. We look at the performance of three common covariate-types in observational studies where the outcome is a standardized reading or math test. They are: pretest measures, local geographic matching, and rich covariate sets with a strong…
Descriptors: Observation, Educational Research, Standardized Tests, Reading Tests
Miciak, Jeremy; Taylor, W. Pat; Stuebing, Karla K.; Fletcher, Jack M.; Vaughn, Sharon – Journal of Research on Educational Effectiveness, 2016
An appropriate estimate of statistical power is critical for the design of intervention studies. Although the inclusion of a pretest covariate in the test of the primary outcome can increase statistical power, samples selected on the basis of pretest performance may demonstrate range restriction on the selection measure and other correlated…
Descriptors: Educational Research, Research Design, Intervention, Statistical Analysis
Lai, Mark H. C.; Kwok, Oi-Man – Journal of Educational and Behavioral Statistics, 2014
Multilevel modeling techniques are becoming more popular in handling data with multilevel structure in educational and behavioral research. Recently, researchers have paid more attention to cross-classified data structure that naturally arises in educational settings. However, unlike traditional single-level research, methodological studies about…
Descriptors: Hierarchical Linear Modeling, Differences, Effect Size, Computation
Al-Maamari, Faisal S. – i.e.: inquiry in education, 2016
It is generally acknowledged that novice researchers may not be adequately prepared to engage in/with research and that an increasingly widening divide exists between researchers and teachers, and therefore between research and practice. To explore this gap, this paper addresses ten of the most popular misconceptions novice researchers hold in…
Descriptors: Misconceptions, Correlation, Sampling, Ethics
Huang, Denise; Leon, Seth; La Torre, Deborah – International Journal for Research on Extended Education, 2017
Every since the enactment of the No Child Left Behind Act (2001) in the United States, achievement gains resulting from afterschool participation have been of particular interest. However, findings have been inconsistent. The challenge for researchers is partly due to the wide variation of program goals, difficulty in obtaining valid control…
Descriptors: After School Programs, Student Participation, Academic Achievement, Correlation
Lai, Mark H. C.; Kwok, Oi-man – Journal of Experimental Education, 2015
Educational researchers commonly use the rule of thumb of "design effect smaller than 2" as the justification of not accounting for the multilevel or clustered structure in their data. The rule, however, has not yet been systematically studied in previous research. In the present study, we generated data from three different models…
Descriptors: Educational Research, Research Design, Cluster Grouping, Statistical Data
Uchendu, C. C.; Osim, R. O.; Odigwe, F. N.; Alade, F. N. – African Higher Education Review, 2014
This study examined lecturers' perception of research activities for knowledge production in universities in Cross River State, Nigeria. Two hypotheses were isolated to give direction to this investigation. 240 university lecturers were sampled from a population of 1,868 from the two universities in Cross River State, using stratified random…
Descriptors: Foreign Countries, College Faculty, Teacher Attitudes, Research Projects
Richter, David; Lehrl, Simone; Weinert, Sabine – Early Child Development and Care, 2016
The present paper was written under the auspices of the interdisciplinary research group "Educational Processes, Competence Development, and Selection Decisions at Preschool and Primary School Age (BiKS)" (FOR 543), funded by the German Research Foundation (DFG). The surveys were conceptualised and supervised as part of the developmental…
Descriptors: Elementary School Students, Developmental Psychology, Financial Support, Interdisciplinary Approach
Hedges, Larry V.; Rhoads, Christopher – National Center for Special Education Research, 2010
This paper provides a guide to calculating statistical power for the complex multilevel designs that are used in most field studies in education research. For multilevel evaluation studies in the field of education, it is important to account for the impact of clustering on the standard errors of estimates of treatment effects. Using ideas from…
Descriptors: Research Design, Field Studies, Computers, Effect Size
Reardon, Sean F. – Society for Research on Educational Effectiveness, 2010
Instrumental variable estimators hold the promise of enabling researchers to estimate the effects of educational treatments that are not (or cannot be) randomly assigned but that may be affected by randomly assigned interventions. Examples of the use of instrumental variables in such cases are increasingly common in educational and social science…
Descriptors: Social Science Research, Least Squares Statistics, Computation, Correlation
Roskos, Kathleen A.; Christie, James F.; Widman, Sarah; Holding, Allison – Journal of Early Childhood Literacy, 2010
In this literature review, we examined 30 years of play-literacy inquiry through a quantitative lens in order to identify, assemble and summarize studies of sufficient methodological strength to form a corpus of research that encourages meta-analytic thinking. First, a multi-phase search of the literature was conducting yielding 192 studies that…
Descriptors: Play, Effect Size, Emergent Literacy, Teaching Methods
Harwell, Michael; Maeda, Yukiko – Journal of Experimental Education, 2008
There is general agreement that meta-analysis is an important tool for synthesizing study results in quantitative educational research. Yet, a shared feature of many meta-analyses is a failure to report sufficient information for readers to fully judge the reported findings, such as the populations to which generalizations are to be made,…
Descriptors: Educational Research, Meta Analysis, Research Methodology, Statistical Analysis
National Institute for Literacy, 2010
Included here are two appendixes to "Adult Education Literacy Instruction: A Review of the Research." Appendix A, "Adult Studies," contains: (1) Assessment Profiles; (2) Alphabetics; (3) Fluency; (4) Vocabulary; and (5) Comprehension. Appendix B, "Adolescent Studies," contains: (1) Alphabetics; (2) Fluency; (3) Vocabulary; and (4) Comprehension.…
Descriptors: Literacy Education, Adult Education, Literacy, Educational Research
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