R/pisa12-us-vignette-data.R
items_ordered_pisa12_us_vignette.Rd
Programme for International Student Assessment (PISA) 2012 U.S. Student Questionnaire Problem-Solving Vignettes
items_ordered_pisa12_us_vignette
An object of class matrix
(inherits from array
) with 3075 rows and 12 columns.
Obtained from the PISA 2012 questionnaire responses given to 15-year olds, we selected 12 items under three vignettes and four item stems to measure problem-solving strategies applied by students.
Vignette (a):
Suppose that you have been sending text messages from your mobile phone for several weeks.Today, however, you can’t send text messages. You want to try to solve the problem.
ST96Q01: I press every button possible to find out what is wrong.
ST96Q02: I think about what might have caused the problem and what I can do to solve it.
ST96Q03: I read the manual.
ST96Q05: I ask a friend for help.
Vignette (b):
Suppose that you are planning a trip to the zoo with your brother. You don’t know which route to take to get there.
ST101Q01: I read the zoo brochure to see if it says how to get there.
ST101Q02: I study a map and work out the best route.
ST101Q03: I leave it to my brother to worry about how to get there.
ST101Q05: I know roughly where it is, so I suggest we just start driving.
Vignette (c):
Suppose that you arrive at the train station. There is a ticket machine that you have never used before. You want to buy a ticket.
ST104Q01: I check how similar it is to other ticket machines I have used.
ST104Q04: I try out all the buttons to see what happens.
ST104Q05: I ask someone for help.
ST104Q06: I try to find a ticket office at the station to buy a ticket.
All items were reverse-coded such that responses categories begin with negative responses at 0 and go to 3 for a positive responses.
0: I would definitely not do this.
1: I would probably not do this.
2: I would probably do this.
3: I would definitely do this.
Assessment Design:
PISA Test Overview: https://www.oecd.org/pisa/aboutpisa.html
PISA 2012 Mathematics Items: https://www.oecd.org/pisa/test/PISA%202012%20items%20for%20release_ENGLISH.pdf
Data used in:
Culpepper, S. A., & Balamuta, J. J. (2021). Inferring latent structure in polytomous data with a higher-order diagnostic model. Multivariate Behavioral Research, 1–19. doi:10.1080/00273171.2021.1985949