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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
Cochran, Jill A. – International Journal of Research & Method in Education, 2015
Forced-choice ipsative data are common in personality, philosophy and other preference-based studies. However, this type of data inherently contains dependencies that are challenging for usual statistical analysis. In order to utilize the structure of the data as a guide for analysis rather than as a challenge to manage, a visualisation tool was…
Descriptors: Data, Statistical Analysis, Visual Aids, Secondary School Teachers
Gabriel, Florence; Signolet, Jason; Westwell, Martin – International Journal of Research & Method in Education, 2018
Mathematics competency is fast becoming an essential requirement in ever greater parts of day-to-day work and life. Thus, creating strategies for improving mathematics learning in students is a major goal of education research. However, doing so requires an ability to look at many aspects of mathematics learning, such as demographics and…
Descriptors: Artificial Intelligence, Mathematics Instruction, Numeracy, Models
Frederick, Karen; Barnard-Brak, Lucy; Sulak, Tracey – International Journal of Research & Method in Education, 2012
There has been a significant increase in the use of secondary data sets. Many such data sets purport to be nationally representative. Secondary data sets include research commissioned by the National Center for Education Statistics, the Centers for Disease Control, and other public entities. Research increasingly utilizes these secondary data in…
Descriptors: Autism, Statistical Analysis, Pervasive Developmental Disorders, Disproportionate Representation
The Use of National Data Sets to Baseline Science Education Reform: Exploring Value-Added Approaches
Homer, Matt; Ryder, Jim; Donnelly, Jim – International Journal of Research & Method in Education, 2011
This paper uses data from the National Pupil Database to investigate the differences in "performance" across the range of science courses available following the 2006 Key Stage 4 (KS4) science reforms in England. This is a value-added exploration (from Key Stage 3 [KS3] to KS4) aimed not at the student or the school level, but rather at…
Descriptors: Secondary School Science, Courses, Educational Change, Foreign Countries
Hampden-Thompson, Gillian; Lubben, Fred; Bennett, Judith – International Journal of Research & Method in Education, 2011
Quantitative secondary analysis of large-scale data can be combined with in-depth qualitative methods. In this paper, we discuss the role of this combined methods approach in examining the uptake of physics and chemistry in post compulsory schooling for students in England. The secondary data analysis of the National Pupil Database (NPD) served…
Descriptors: Research Methodology, Physics, Chemistry, Measures (Individuals)
Hsu, Tse-chi – International Journal of Research & Method in Education, 2005
To assess the status and the trends of subject matters investigated and research methods/designs and data analysis procedures employed by educational researchers, this study surveyed articles published by the "American Educational Research Journal (AERJ)," "Journal of Experimental Education (JEE)" and "Journal of Educational Research (JER)" from…
Descriptors: Research Methodology, Data Analysis, Statistical Analysis, Educational Research

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