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Showing all 8 results Save | Export
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Céline Chapelle; Gwénaël Le Teuff; Paul Jacques Zufferey; Silvy Laporte; Edouard Ollier – Research Synthesis Methods, 2024
The number of meta-analyses of aggregate data has dramatically increased due to the facility of obtaining data from publications and the development of free, easy-to-use, and specialised statistical software. Even when meta-analyses include the same studies, their results may vary owing to different methodological choices. Assessment of the…
Descriptors: Meta Analysis, Replication (Evaluation), Data Analysis, Statistical Analysis
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David Grant; Phoebe Rose Levine; Anna Shapiro; Elizabeth D. Steiner; Ashley Woo; Jill S. Cannon; Christopher Joseph Doss; Lynn A. Karoly; Emma B. Kassan – RAND Corporation, 2025
This technical report provides detailed information about the sample, survey instruments, and resultant data for the Fall 2024 Pre-Kindergarten Teacher Survey (PKTS) which was administered via RAND's American Teacher Panel (ATP). The ATP is a nationally representative sample of public school teachers and part of the broader American Educator…
Descriptors: Preschool Teachers, Public School Teachers, Teacher Surveys, Data Collection
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Epameinondas Panagopoulos; Ioannis Kamarianos – Open Journal for Educational Research, 2025
This paper emphasizes the divergences in quantitative and qualitative methodological approaches when exploring trust relationships in school units. We focus on how participants responded and how the results were interpreted. This study, based on such design, questionnaires, and semi-structured interviews to understand trust among teachers and…
Descriptors: Statistical Analysis, Qualitative Research, Research Methodology, Trust (Psychology)
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Benjamin Alcott; Suman Bhattacharjea; Ricardo Sabates; Ankita Jha; Maria Khwaja; Preeti Manchanda; Akanksha Pandey; Purnima Ramanujan; Wilima Wadhwa; Poorva Shekher; Pratik Wadmare – International Journal of Research & Method in Education, 2025
Reflexivity in quantitative research is central to questioning the ways in which the data is designed, collected and interpreted. It requires the researcher to be reflexive about their knowledge, their positionality, and the bias they may bring at each stage of the research. Unfortunately, though, limited evidence exists on the use of reflexive…
Descriptors: Foreign Countries, Research Design, Statistical Analysis, Test Construction
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William Bosshardt; Amanda Jennings; Peter Davies – Journal of Economic Education, 2024
The authors of this article present arguments for why and how qualitative research should be used in economic education. These arguments recognize the nature of economics as a discipline and economics educators' current expertise and preferences. The authors have five goals: (i) clarifying how and why the use of qualitative research in economic…
Descriptors: Economics Education, Educational Research, Qualitative Research, Statistical Analysis
John W. Creswell; Timothy C. Guetterman – Pearson, 2024
Balancing coverage of qualitative, quantitative and combined methods, "Educational Research" offers a truly inclusive and integrated overview of the processes involved in planning, conducting and evaluating research. It first examines the general steps in the research process and then details the procedures for conducting specific types…
Descriptors: Educational Research, Statistical Analysis, Qualitative Research, Mixed Methods Research
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Yuan Hsiao; Lee Fiorio; Jonathan Wakefield; Emilio Zagheni – Sociological Methods & Research, 2024
Obtaining reliable and timely estimates of migration flows is critical for advancing the migration theory and guiding policy decisions, but it remains a challenge. Digital data provide granular information on time and space, but do not draw from representative samples of the population, leading to biased estimates. We propose a method for…
Descriptors: Migration, Migration Patterns, Data Collection, Data Analysis
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Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools