items_ordered_pswc_hw {edmdata} | R Documentation |
Calculus-based probability and statistics course homework problems
Description
Calculus-based probability and statistics course homework problems
Usage
items_ordered_pswc_hw
Format
An object of class matrix
(inherits from array
) with 288 rows and 29 columns.
Details
Data set contains the subject's responses to calculus-based probability and statistics course homework problems.
-
Item01
: Subject's Response to Item 1. -
Item02
: Subject's Response to Item 2. -
Item03
: Subject's Response to Item 3. -
Item05
: Subject's Response to Item 5. -
Item06
: Subject's Response to Item 6. -
Item07
: Subject's Response to Item 7. -
Item08
: Subject's Response to Item 8. -
Item09
: Subject's Response to Item 9. -
Item10
: Subject's Response to Item 10. -
Item11
: Subject's Response to Item 11. -
Item12
: Subject's Response to Item 12. -
Item13
: Subject's Response to Item 13. -
Item14
: Subject's Response to Item 14. -
Item15
: Subject's Response to Item 15. -
Item16
: Subject's Response to Item 16. -
Item17
: Subject's Response to Item 17. -
Item18
: Subject's Response to Item 18. -
Item19
: Subject's Response to Item 19. -
Item21
: Subject's Response to Item 21. -
Item22
: Subject's Response to Item 22. -
Item23
: Subject's Response to Item 23. -
Item24
: Subject's Response to Item 24. -
Item25
: Subject's Response to Item 25. -
Item26
: Subject's Response to Item 26. -
Item27
: Subject's Response to Item 27. -
Item29
: Subject's Response to Item 29. -
Item30
: Subject's Response to Item 30. -
Item32
: Subject's Response to Item 32. -
Item34
: Subject's Response to Item 34.
References
Data used in:
Jimenez, A., Balamuta, J. J., & Culpepper, S. A. (2023). A sequential exploratory diagnostic model using a Pólya-gamma data augmentation strategy. British Journal of Mathematical and Statistical Psychology, 76, 513–538. doi:10.1111/bmsp.12307
Data originated from:
Culpepper, S. A. (2014). If at first you don’t succeed, try, try again: Applications of sequential IRT models to cognitive assessments. Applied Psychological Measurement, 38(8), 632–644. doi:10.1177/0146621614536464