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c:ma:2019:factor_analysis_assignment

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Factor analysis assignment

data file efa.csv: The data set contains what customers consider while purchasing car. The survey questions were framed using 5-point likert scale with 1 being very low and 5 being very high. The variables were the following:

Price
Safety
Exterior looks
Space and comfort
Technology
After sales service
Resale value
Fuel type
Fuel efficiency
Color
Maintenance
Test drive
Product reviews
Testimonials

In order to perform the factor analysis in r, you would need to install the following packages: psych and GPArotation. Do the following codes.

install.packages('psych')
install.packages('GPArotation')

Assignment
Do the following tasks with your group members

  • Read the data file as “efa” into r
  • examine the data set:
    • how many variables are there?
    • how many subjects (participants) are there?
  • Use the following code
    • ?fa.parallel
    • explain what it is and it does (based on the explanation of help)
    • do fa.parallel with following options (수업에서 다루지 않았읍니다. help 문서를 보고 완성하세요)
      • fm = minres
      • fa = fa
    • print out the output and
    • determine the number of factors
  • Use the following code
    • efa.fa.ini <- fa(efa)
    • Print out the result, efa.fa.ini
    • Use the following code, names(efa.fa.ini) and answer the below questions
      • e.values를 출력하시오.
      • e.values는 무엇을 의미하는가?
      • communality를 출력하시오
      • communality는 이 output에서 무엇을 의미하는가?
c/ma/2019/factor_analysis_assignment.1574756380.txt.gz · Last modified: 2019/11/26 17:19 by hkimscil

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