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Mixing Qualitative and Quantitative Research in Developmental Science: Uses and Methodological Choices
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Yoshikawa, Hirokazu; Weisner, Thomas S.; Kalil, Ariel; Way, Niobe – Developmental Psychology, 2008
Multiple methods are vital to understanding development as a dynamic, transactional process. This article focuses on the ways in which quantitative and qualitative methodologies can be combined to enrich developmental science and the study of human development, focusing on the practical questions of "when" and "how." Research situations that may…
Descriptors: Research Methodology, Statistical Analysis, Qualitative Research, Individual Development
Pooling Data from Multiple Longitudinal Studies: The Role of Item Response Theory in Integrative Data Analysis
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Curran, Patrick J.; Hussong, Andrea M.; Cai, Li; Huang, Wenjing; Chassin, Laurie; Sher, Kenneth J.; Zucker, Robert A. – Developmental Psychology, 2008
There are a number of significant challenges researchers encounter when studying development over an extended period of time, including subject attrition, the changing of measurement structures across groups and developmental periods, and the need to invest substantial time and money. Integrative data analysis is an emerging set of methodologies…
Descriptors: Research Methodology, Data Analysis, Longitudinal Studies, Researchers
Factors and Clusters for the Brazelton Scale: An Investigation of the Dimensions of Neonatal Behavior.
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Jacobson, Joseph L.; And Others – Developmental Psychology, 1984
Examines the psychometric properties of two procedures for reducing data from the Brazelton Neonatal Behavioral Assessment Scale: factor and cluster analysis. The sample consisted of 85 male and 77 female newborns. (RH)
Descriptors: Cluster Analysis, Comparative Analysis, Data Analysis, Factor Analysis