TIMSS11G8M.data: The 2011 TIMSS Grade 8 Mathematics Assessment Dataset
In subscore: Computing Subscores in Classical Test Theory and Item Response Theory
TIMSS11G8M.data R Documentation
The 2011 TIMSS Grade 8 Mathematics Assessment Dataset
Description
The TIMSS dataset used in Dai, Svetina, and Wang (2017) (doi:10.3102/1076998617716462). It contained responses from
765 students to 32 items with 6 to 9 items on each of the subscales of (1) number (Q1 to Q9), (2) algebra (Q10 to Q18),
(3) geometry (Q19 to Q24), and (4) data and chance (Q25 to Q30). Omitted responses were treated as incorrect.
Usage
data("TIMSS11G8M.data")
Format
A data frame with 765 observations on the following 32 variables.
Q1a numeric vector
Q2a numeric vector
Q3a numeric vector
Q4a numeric vector
Q5a numeric vector
Q6a numeric vector
Q7a numeric vector
Q8a numeric vector
Q9a numeric vector
Q10a numeric vector
Q11a numeric vector
Q12a numeric vector
Q13a numeric vector
Q14a numeric vector
Q15a numeric vector
Q16a numeric vector
Q17a numeric vector
Q18a numeric vector
Q19a numeric vector
Q20a numeric vector
Q21a numeric vector
Q22a numeric vector
Q23a numeric vector
Q24a numeric vector
Q25a numeric vector
Q26a numeric vector
Q27a numeric vector
Q28a numeric vector
Q29a numeric vector
Q30a numeric vector
Q31a numeric vector
Q32a numeric vector
Source
Dai, S., Svetina, D., & Wang, X. (2017).
"Reporting subscores using R: A software review."
Journal of Educational and Behavioral Statistics. 42(2), 617-638. doi: 10.3102/1076998617716462.
Examples
data(TIMSS11G8M.data)
# maybe str(TIMSS11G8M.data); plot(TIMSS11G8M.data) ...
subscore documentation built on May 24, 2022, 5:07 p.m.
R Package Documentation
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| TIMSS11G8M.data | R Documentation |
The 2011 TIMSS Grade 8 Mathematics Assessment Dataset
Description
The TIMSS dataset used in Dai, Svetina, and Wang (2017) (doi:10.3102/1076998617716462). It contained responses from 765 students to 32 items with 6 to 9 items on each of the subscales of (1) number (Q1 to Q9), (2) algebra (Q10 to Q18), (3) geometry (Q19 to Q24), and (4) data and chance (Q25 to Q30). Omitted responses were treated as incorrect.
Usage
data("TIMSS11G8M.data")
Format
A data frame with 765 observations on the following 32 variables.
Q1a numeric vector
Q2a numeric vector
Q3a numeric vector
Q4a numeric vector
Q5a numeric vector
Q6a numeric vector
Q7a numeric vector
Q8a numeric vector
Q9a numeric vector
Q10a numeric vector
Q11a numeric vector
Q12a numeric vector
Q13a numeric vector
Q14a numeric vector
Q15a numeric vector
Q16a numeric vector
Q17a numeric vector
Q18a numeric vector
Q19a numeric vector
Q20a numeric vector
Q21a numeric vector
Q22a numeric vector
Q23a numeric vector
Q24a numeric vector
Q25a numeric vector
Q26a numeric vector
Q27a numeric vector
Q28a numeric vector
Q29a numeric vector
Q30a numeric vector
Q31a numeric vector
Q32a numeric vector
Source
Dai, S., Svetina, D., & Wang, X. (2017). "Reporting subscores using R: A software review." Journal of Educational and Behavioral Statistics. 42(2), 617-638. doi: 10.3102/1076998617716462.
Examples
data(TIMSS11G8M.data) # maybe str(TIMSS11G8M.data); plot(TIMSS11G8M.data) ...
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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