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Heikkilä, Mia; Schaeffer, Jennie Andersson – International Journal of Research & Method in Education, 2022
Preschool, understood as being both a physical and psychological environment, is, according to objectives in national curriculum, required to be inclusive for all those who attend it. Previous studies have identified the stereotypical norms of several everyday activities of preschools, including both interactions and premises. The aim of this…
Descriptors: Educational Research, Research Methodology, Preschool Education, Data Analysis
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Hall, Jori; Fassbender, William; Jones, Sheree – International Journal of Research & Method in Education, 2021
Despite the varied approaches to qualitative data analysis software (QDAS) instruction, teaching QDAS remains a challenge as students' skills with digital tools and understanding of qualitative research vary. In this paper, we report on our experiences providing QDAS instruction via an introductory NVivo 11 workshop to graduate students. To report…
Descriptors: Reflection, Case Studies, Computer Software, Data Analysis
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Paulus, Trena M.; Bennett, Ann M. – International Journal of Research & Method in Education, 2017
While research on teaching qualitative methods in education has increased, few studies explore teaching qualitative data analysis software within graduate-level methods courses. During 2013, we required students in several such courses to use ATLAS.ti™ as a project management tool for their assignments. By supporting students' early experiences…
Descriptors: Qualitative Research, Data Analysis, Computer Software, Graduate Students
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Pampaka, Maria; Hutcheson, Graeme; Williams, Julian – International Journal of Research & Method in Education, 2016
Missing data is endemic in much educational research. However, practices such as step-wise regression common in the educational research literature have been shown to be dangerous when significant data are missing, and multiple imputation (MI) is generally recommended by statisticians. In this paper, we provide a review of these advances and their…
Descriptors: Data Analysis, Statistical Inference, Error of Measurement, Computation
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O'Brien, Mark; Varga-Atkins, Tunde; Umoquit, Muriah; Tso, Peggy – International Journal of Research & Method in Education, 2012
This article addresses the under-theorization of visual techniques for social science research applications through the cultural-historical activity theory (CHAT). The "problem" of "the visual" in research is given an ontological framing by highlighting the ways in which the use of visual techniques as research tools--designed…
Descriptors: Foreign Countries, Participatory Research, Social Science Research, Theories
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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)
Gorard, Stephen – International Journal of Research & Method in Education, 2007
This paper presents an argument against the wider adoption of complex forms of data analysis, using multi-level modeling (MLM) as an extended case study. MLM was devised to overcome some deficiencies in existing datasets, such as the bias caused by clustering. The paper suggests that MLM has an unclear theoretical and empirical basis, has not led…
Descriptors: Data Analysis, Research Methodology, Error of Measurement, Error Correction