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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

Wilson, Ronald S. – Developmental Psychology, 1975
To examine the ability of the correction factor epsilon to counteract statistical bias in univariate analysis, an analysis of variance (adjusted by epsilon) and a multivariate analysis of variance were performed on the same data. The results indicated that univariate analysis is a fully protected design when used with epsilon. (JMB)
Descriptors: Analysis of Variance, Data Analysis, Research Design, Statistical Analysis

Widaman, Keith F. – Developmental Psychology, 1998
This commentary details a number of problems with the study design and data analysis reported by Finkel et al. The commentary also provides suggestions for more fruitful approaches for analyzing data from such studies in the future. (Author/BC)
Descriptors: Aging (Individuals), Cognitive Ability, Cognitive Measurement, Cohort Analysis

McCall, Robert B.; Appelbaum, Mark I. – Developmental Psychology, 1991
Discusses procedures and considerations involved with secondary analyses of longitudinal databases. Procedures involve (1) formulating questions; (2) creating a feasibility matrix; (3) reformulating questions; (4) creating derived variables; (5) performing data reduction; (6) analyzing data; and (7) interpreting results. Problems associated with…
Descriptors: Data Analysis, Developmental Psychology, Longitudinal Studies, Predictor Variables