Economics and Student Affairs Project

Dec 9, 2015

Economics and Student Affairs Project Analysis

  • Explanatory analysis
    • Visualization.
  • Regression analysis
    • Importance of factors.
  • Statistical test for Likert scale data
    • Mann Whitney test.
    • Kruskal Wallis test.

Website[https://ca.studentvoice.com/app/ClientWeb/Results.aspx?ProjectId=32810]

Explanatory Analysis

  1. Resource Usage

Generate a set of binary variables to illustrate the resource usage at UVic for this group of international students.

  • Dichotomize the question 34 to question 54 to generate binary variables about whether students use this service.

  • For example: Q34. If you have used any of the university services listed in this question, please indicate how helpful you found that service: - Academic Advising

  • We identify “no basis to judge” and “NA” as “FALSE” and other items as “TRUE”.

Resource Usage

plot of chunk usage

Resource Usage in Order

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Potential Problems

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Resource Usage in Detail

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Potential Problems in Detail

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Regression analysis

  • Penalized Logit regression (Lasso)

Since we have a set of new binary variable now, we are able to do logistic regression and to identify which predictor is important for student's choice about whether use this service.

"Instructor Office Hours"service

Q1declared Q4Courses Q68HowLong
-1.398152 0.4132888 0.2175753

Those question are

Question : Q1. Have you declared your program of study? (Note, declaration is a formal process, not an expression of interest when you applied to UVic) 
 Options : No Yes 

Question : Q4. How many Economics Courses are you taking this term? 
 Options : 1 course 2-3 courses 4 or more courses Not Applicable 

Question : Q68. How long have you been studying at UVic? 
 Options : Less than 6 months 6 months to 1 year Between 1 and 2 years More than 2 years 

Question 65[https://ca.studentvoice.com/app/ClientWeb/Results.aspx?ProjectId=32810]

Visualization for "Instructor Office Hours" service

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Visualization for "Instructor Office Hours" service

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"Academic Advising" service

The “AcademicAdvising” service is majorly related to four characters:

Q12hourSocializingOffCampus Q65OpportunityStudiesElsewhere Q67studentType
-0.206789 -0.0852239 -0.0145798

Those question are

Question : Q12. About how many hours do you spend in a typical 7-day week doing the following? - Relaxing and socializing off campus (not online) 
 Options : No basis to judge 1 to 5 hours per week 6 to 10 hours per week 11 to 20 hours per week 21 to 30 hours per week More than 31 hours per week 

Question : Q65_4:Opportunity for further studies elsewhere 
 Options :  Opportunity for further studies elsewhere 

Question : Q67. How did you enter UVic? 
 Options : As a First Year student As a Transfer student As a Visiting student As an Exchange student As an Unclassified student Other (please specify) 

Visualization for "Academic Advising" service

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"International Student Services" service

Q13hourSocializingOffCampusOnline Q65OpportunityStudiesElsewhere
-0.1542401 -0.1571394

Those question are

Question : Q13. About how many hours do you spend in a typical 7-day week doing the following? - Relaxing and socializing off campus (online) 
 Options : No basis to judge 1 to 5 hours per week 6 to 10 hours per week 11 to 20 hours per week 21 to 30 hours per week More than 31 hours per week 

Question : Q65_4:Opportunity for further studies elsewhere 
 Options :  Opportunity for further studies elsewhere 

Question 65[https://ca.studentvoice.com/app/ClientWeb/Results.aspx?ProjectId=32810]

Plot for "International Student Services" service

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Plot for "International Student Services" service

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Hypothesis Test

  • Mann Whitney test.

    Example one: Do Males and Females answer differently?

  • Kruskal Wallis test.

    Example two: Do scoring tendencies in terms of one queston differ by countries?

Mann Whitney test

Example one: Do Males and Females answer differently?

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Mann Whitney test


    Wilcoxon rank sum test with continuity correction

data:  Q46InstructorOfficeHour by Q71gender
W = 706.5, p-value = 0.4919
alternative hypothesis: true location shift is not equal to 0

From the Mann-Whitney test we get a p-value of 0.4919, hence we fail to reject the null hypothesis that Males and Females have the same scoring tendency at the 5% level. So there is no difference between gender.

Example two: Do scoring tendancies differ by countries?

If there were a significant difference between the scoring tenancies of people from different countries.

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Kruskal-Wallis Test


    Kruskal-Wallis rank sum test

data:  Q34AcademicAdvising by Q72country
Kruskal-Wallis chi-squared = 8.6653, df = 3, p-value = 0.03409

The Kruskal-Wallis test gives us a p-vale of 0.03, hence we have evidence to reject our null hypothesis that there is no difference.

More information

There are interesting insight about student behavior, and more are needed to be explored.

http://rpubs.com/snowdj/esap1

http://rpubs.com/snowdj/esap02

http://rpubs.com/snowdj/esap03