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Cheema, Jehanzeb R. – Review of Educational Research, 2014
Missing data are a common occurrence in survey-based research studies in education, and the way missing values are handled can significantly affect the results of analyses based on such data. Despite known problems with performance of some missing data handling methods, such as mean imputation, many researchers in education continue to use those…
Descriptors: Educational Research, Data, Data Collection, Data Processing
Peer reviewedSmagorinsky, Peter – Review of Educational Research, 1995
The appropriateness of the metaphor of the purity of data is questioned, using a perspective based on L. S. Vygotsky's idea of the zone of proximal development and its emphasis on a genetic method in which development is mediated by cultural tools and signs. (SLD)
Descriptors: Culture, Data Collection, Individual Development, Learning
Peer reviewedDunkin, Michael J. – Review of Educational Research, 1996
Nine types of errors occurring in the process of synthesizing research are described, with examples from a recent synthesis of research on teacher professional growth. Types of errors include excluding relevant literature, wrongly reporting details such as sample size, erroneously attributing findings to studies, and stating unwarranted…
Descriptors: Data Analysis, Data Collection, Educational Research, Error Patterns

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