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Smare, Zaina; Elfatihi, Mohamed – Issues in Educational Research, 2023
This article reviews the methodologies used in 76 empirical studies conducted on creative thinking in primary school education and published between 2011 and 2021. The studies were analysed for their context, foci of investigation and the methodologies used. Each study was coded and analysed quantitatively and qualitatively. The findings are…
Descriptors: Research Methodology, Creative Thinking, Foreign Countries, Elementary Education
Alexandru Cernat; Vera Toepoel – International Journal of Social Research Methodology, 2024
Most of the social science research is based on the implied assumption that measurement error is the same across key socio-demographic groups and all differences in key statistics of interest are real. Nevertheless, there is evidence that this is not the case. In this paper, the authors tackle this important topic by investigating if data quality…
Descriptors: Error of Measurement, Low Income Groups, Probability, Foreign Countries
Dirk Tempelaar; Bart Rienties; Bas Giesbers; Quan Nguyen – Journal of Learning Analytics, 2023
Learning analytics needs to pay more attention to the temporal aspect of learning processes, especially in self-regulated learning (SRL) research. In doing so, learning analytics models should incorporate both the duration and frequency of learning activities, the passage of time, and the temporal order of learning activities. However, where this…
Descriptors: Time Factors (Learning), Learning Analytics, Models, Statistical Analysis
de Jong, Peter F. – Journal of Psychoeducational Assessment, 2023
The Wechsler Intelligence Scale for Children--Fifth Edition (WISC-V; Wechsler, 2014) provides a general intelligence score, representing "g," and five index scores, reflecting underlying broad factors. Within person differences between the overall performance across subtests and index scores, denoted as index difference scores, are often…
Descriptors: Test Validity, Children, Intelligence Tests, Indo European Languages
Bash, Kirstie L.; Howell Smith, Michelle C.; Trantham, Pam S. – Journal of Mixed Methods Research, 2021
The use of advanced quantitative methods within mixed methods research has been investigated in a limited capacity. In particular, hierarchical linear models are a popular approach to account for multilevel data, such as students within schools, but its use and value as the quantitative strand in a mixed methods study remains unknown. This article…
Descriptors: Hierarchical Linear Modeling, Mixed Methods Research, Research Design, Statistical Analysis