1
PhD student in Statistics, Amirkabir University of Technology
2
Professor of Statistics, Payam Noor University
Abstract
Today, factor analysis has grown and developed a lot, and one of its applications is the analysis of attributes that cannot be measured directly. When the response variable has a Bernoulli distribution, the use of factor analysis methods for continuous quantities has invalid and misleading results. In this article, factor analysis for the Bernoulli response variable is developed based on the logit model, and then its application to real data from a research project on Iranian high school mathematics textbooks is presented.
Shah Sanam, S. & Yarmohammadi, M. (2016). Factor analysis for Bernoulli variables and its application in reviewing high school mathematics textbooks in Iran. Andishe_ye Amari, 20(2), 39-46.
MLA
Shah Sanam, S., & Yarmohammadi, M. "Factor analysis for Bernoulli variables and its application in reviewing high school mathematics textbooks in Iran", Andishe_ye Amari, 20, 2, 2016, 39-46.
HARVARD
Shah Sanam S., Yarmohammadi M. (2016). 'Factor analysis for Bernoulli variables and its application in reviewing high school mathematics textbooks in Iran', Andishe_ye Amari, 20(2), pp. 39-46.
CHICAGO
S. Shah Sanam & M. Yarmohammadi, "Factor analysis for Bernoulli variables and its application in reviewing high school mathematics textbooks in Iran," Andishe_ye Amari, 20 2 (2016): 39-46,
VANCOUVER
Shah Sanam S., Yarmohammadi M. Factor analysis for Bernoulli variables and its application in reviewing high school mathematics textbooks in Iran. Andishe_ye Amari. 2016;20(2):39-46 (In Persian).
