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Thompson, Bruce; Dennings, Bruce – 1993
Q-technique factor analysis identifies clusters or factors of people, rather than of variables, and has proven very popular, especially with regard to testing typology theories. The present study investigated the utility of three different protocols for obtaining data for Q-technique studies. These three protocols were: (1) a conventional ipsative…
Descriptors: Classification, Comparative Analysis, Data Collection, Factor Analysis
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Huedo-Medina, Tania B.; Sanchez-Meca, Julio; Marin-Martinez, Fulgencio; Botella, Juan – Psychological Methods, 2006
In meta-analysis, the usual way of assessing whether a set of single studies is homogeneous is by means of the Q test. However, the Q test only informs meta-analysts about the presence versus the absence of heterogeneity, but it does not report on the extent of such heterogeneity. Recently, the I[squared] index has been proposed to quantify the…
Descriptors: Meta Analysis, Intervals, Monte Carlo Methods, Comparative Analysis
Daniel, Larry G. – 1993
This paper demonstrates how Q-methodology combines artistic and scientific procedures to allow social science researchers to develop and test theories about differences in persons. Q-methodology is based on factor analysis. In R-technique factor analysis, the most commonly used technique, variables define the columns and persons define the rows of…
Descriptors: Art, Behavioral Science Research, Comparative Analysis, Educational Research