items_ordered_pswc_hw: Calculus-based probability and statistics course homework...

In tmsalab/ecdmdata: Data Sets for Psychometric Modeling

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. \Sexpr[results=rd]{tools:::Rd_expr_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. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1177/0146621614536464")}

tmsalab/ecdmdata documentation built on Oct. 9, 2024, 9:46 a.m.