Example Data

Note: Localized cards are blurred to protect the identity of the respondents.
The following data sets asked participants to rank academic subjects they believed should be more prioritized in their local school district.
The data was taken from this study: Hugo, R. (2015). Language Attitudes of Non-Indigenous Individuals Residing Near an Indigenous Community in Washington State. University of Washington Working Papers in Linguistics (UWWPL). Volume 33.

The scale for all of the data is 1-10.

x = the vertical position
y = the upper bound of the scale (e.g., 1-5 on a Likert scale or 1-10)
n = the number of vertical positions
z = the scale value of x
(x-1) (y-1)
(n-1) 		+ 1 = z

Example Participant data set 1

Vertical
Position		ValueAcademic Subjects Represented
11.0Local Indigenous History, Local Indigenous Language, Chinese
22.8Home Economics, Social Studies
34.6World History, Physical Education, Art
46.4Chemistry, Spanish, Biology, Health
58.2U.S. History, Math, Computer Science
610.0English

Example Participant data set 2

Note that this participant added an extra blank vertical position between the 2 and 4 vertical positions emphasizing and even lower priority.

Vertical
Position		ValueAcademic Subjects Represented
11.0Chinese
22.125Local Indigenous History, Local Indigenous Language
33.250
44.375Spanish, Art
55.5Physical Education, Home Economics, Health
66.625Chemistry, Biology, Computer Science
77.75Social Studies, U.S. History, World History
88.875English
910.0Math

Example Participant data set 3

Note that this participant moved three cards beyond the lower priority card to indicate that they shouldn't be a priority at all.

Vertical
Position		ValueAcademic Subjects Represented
00Local Indigenous History, Chinese, Local Indigenous Language
11.0Spanish
22.8Chemistry, World History
34.6Social Studies, U.S. History, Physical Education
46.4Biology, Health, Art, Home Economics
58.2Band/Music, Math, Computer Science
610.0English