ISSS608 2016-17 T1 Assign2 Liu Jialin

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Initial question

Wikipedia is a free online encyclopedia that allows its users to contribute and edit almost any article. It is the most popular general reference work on the Internet and is ranked among the ten most popular websites.[1] Despite the popularity, we are interested in how academia people, the true professionals, perceive Wikipedia in the following aspects:

  1. Research and teaching
  2. Recognition of Wikipedia among colleagues
  3. Perception on students using Wikipedia
  4. General quality of Wikipedia.
  5. Other online contributions made by the same group of academia people.


Dataset

The dataset is taken from UC Irvine Machine Learning Repository: wiki4HE Data Set.[2]
“Ongoing research on university faculty perceptions and practices of using Wikipedia as a teaching resource. Based on a Technology Acceptance Model, the relationships within the internal and external constructs of the model are analysed. Both the perception of colleagues’ opinion about Wikipedia and the perceived quality of the information in Wikipedia play a central role in the obtained model.”

Attribute Information:
AGE: numeric
GENDER: 0=Male; 1=Female
DOMAIN: 1=Arts & Humanities; 2=Sciences; 3=Health Sciences; 4=Engineering & Architecture; 5=Law & Politics
PhD: 0=No; 1=Yes
YEARSEXP (years of university teaching experience): numeric
UNIVERSITY: 1=UOC; 2=UPF
UOC_POSITION (academic position of UOC members): 1=Professor; 2=Associate; 3=Assistant; 4=Lecturer; 5=Instructor; 6=Adjunct
OTHER (main job in another university for part-time members): 1=Yes; 2=No
OTHER_POSITION (work as part-time in another university and UPF members): 1=Professor; 2=Associate; 3=Assistant; 4=Lecturer; 5=Instructor; 6=Adjunct
USERWIKI (Wikipedia registered user): 0=No; 1=Yes


The survey items are Likert scale (1-5) ranging from strongly disagree / never (1) to strongly agree / always (5).
There are 43 survey questions in total, out of which 30 was selected to be analysed and presented. The 30 questions were divided into 5 categories:
A. Research and Teaching:

  1. VIS3: I cite Wikipedia in my academic papers
  2. EXP1: I consult Wikipedia for issues related to my field of expertise
  3. EXP2: I consult Wikipedia for other academic related issues
  4. QU4: In my area of expertise, Wikipedia has a lower quality than other educational resources
  5. USE1: I use Wikipedia to develop my teaching materials
  6. PU3: Wikipedia is useful for teaching
  7. BI2: In the future I will use Wikipedia in my teaching activity

B. Recognition of Wikipedia among colleagues:

  1. IM1: The use of Wikipedia is well considered among colleagues
  2. IM3: My colleagues use Wikipedia
  3. USE4: I recommend my colleagues to use Wikipedia
  4. BI1: In the future I will recommend the use of Wikipedia to my colleagues and students

C. Perception on students using Wikipedia:

  1. USE2: I use Wikipedia as a platform to develop educational activities with students
  2. EXP5: I use wikis to work with my students
  3. USE5: I agree my students use Wikipedia in my courses
  4. USE3: I recommend my students to use Wikipedia
  5. ENJ1: The use of Wikipedia stimulates curiosity
  6. PU1: The use of Wikipedia makes it easier for students to develop new skills
  7. PU2: The use of Wikipedia improves students' learning

D. Other online contributions:

  1. SA2: It is important to publish research results in other media than academic journals or books
  2. SA1: It is important to share academic content in open platforms
  3. EXP4: I contribute to Wikipedia (editions, revisions, articles improvement...)
  4. PF1: I contribute to blogs
  5. PF3: I publish academic content in open platforms
  6. PF2: I actively participate in social networks
  7. IM2: In academia, sharing open educational resources is appreciated Students

E. General quality of Wikipedia

  1. EXP3: I consult Wikipedia for personal issues
  2. QU1: Articles in Wikipedia are reliable
  3. QU2: Articles in Wikipedia are updated
  4. QU3: Articles in Wikipedia are comprehensive
  5. QU5: I trust in the editing system of Wikipedia


Data Transformation

Data transformation using JMP (used for JMP):

  1. Change data into correct data type (ordinal, nominal). Likert scale is treated as ordinal.
  2. Recode the numbers into respective responses according to metadata. Discover that there are some numbers not described in the metadata.
  3. For Domain, recode "6" and "?" as Others.
  4. For UOC Position, filter on University=UPF, copy Other_Position into UOC_Position, replacing the "?".
  5. For the remaining "?" in UOC_Position, recode as Others.
  6. For User Wiki: recode "?" as Unknown.
  7. Save file as wiki4HE cleaned.xlsx


After using JMP, transform wiki4HE cleaned.xlsx using Excel add-in:

  1. Download Tableau Add-In for Reshaping Data in Excel.[3]
  2. Select all answers to the questions to be reshaped, reshape the data.
  3. Save as wiki4HE cleaned for Tableau.xlsx, use data for Tableau analysis.


Question list

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