Practical Implementation of the Factorial Design with R
DOI:
https://doi.org/10.29038/2306-3971-2015-02-58-66Keywords:
statistical programming language R, metadata experimental design in the survey, vignette, construction of questionnaire, D-effectiveness samplingAbstract
In the article considered the methodological and practical features of the implementation of experimental design (factorial design) in the survey. This type of survey design is come from social psychology and looks very similar to conjoint analysis but gives possibility to use this method in mass surveys. We focused on the implementation of this method in R statistical program. This program was selected as one of the most popular (10th place in common rating of programming languages) and modern free programming language which is developing mostly for data analysis. Therefore we describe all steps of realization of this method in R: construction of the questionnaire, forming an array of vignettes, modeling of orthogonally efficient sample, processing and presentation of results. Design tested in pilot study of factors influencing the selection of students (for this pilot survey was selected 50 students of magistracy of Sociology Faculty of Taras Shevchenko National University of Kyiv) first job, which was presented as an example implementation of the method in R. We tried to write whole code with maximum explanation. Finally some results was presented as linear regression model.
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