The Application Of Exploratory Factor Analysis In Agricultural Education Research
Author(s) -
Matt R. Raven
Publication year - 1994
Publication title -
journal of agricultural education
Language(s) - English
Resource type - Journals
eISSN - 2162-5212
pISSN - 1042-0541
DOI - 10.5032/jae.1994.04009
Subject(s) - agricultural education , exploratory factor analysis , agriculture , factor (programming language) , psychology , exploratory research , mathematics education , sociology , computer science , psychometrics , social science , geography , developmental psychology , archaeology , programming language
Factor analysis is not a new method of data analysis. It has been used extensively as a data analytic technique for the better part of the 20th century (Spearman, 1904). Social scientists have used it extensively for examining patterns of interrelationships, data reduction, instrument development, classification and description of data, data transformation, hypothesis testing, exploring relationships in new domains of interest, and mapping construct space (Rummel, 1970). Factor analysis provides a geometrical representation that allows for a visual portrayal of behavioral relationships, a very common research objective in agricultural education.
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