| items_fractions {edmdata} | R Documentation |
Fraction Subtraction and Addition Assessment Item Responses
Description
Fraction Subtraction and Addition Assessment Item Responses
Usage
items_fractions
Format
An object of class matrix (inherits from array) with 536 rows and 20 columns.
Details
The subjects answered the following assessment items:
-
Item01:\frac{5}{3}-\frac{3}{4} -
Item02:\frac{3}{4}-\frac{3}{8} -
Item03:\frac{5}{6}-\frac{1}{9} -
Item04:3\frac{1}{2}-2\frac{3}{2} -
Item05:4\frac{3}{5}-3\frac{4}{10} -
Item06:\frac{6}{7}-\frac{4}{7} -
Item07:3-2\frac{1}{5} -
Item08:\frac{2}{3}-\frac{2}{3} -
Item09:3\frac{7}{8}-2 -
Item10:4\frac{4}{12}-2\frac{7}{12} -
Item11:4\frac{1}{3}-2\frac{4}{3} -
Item12:\frac{11}{8}-\frac{1}{8} -
Item13:3\frac{3}{8}-2\frac{5}{6} -
Item14:3\frac{4}{5}-3\frac{2}{5} -
Item15:2-\frac{1}{3} -
Item16:4\frac{5}{7}-1\frac{4}{7} -
Item17:7\frac{3}{5}-2\frac{4}{5} -
Item18:4\frac{1}{10}-2\frac{8}{10} -
Item19:4-1\frac{4}{3} -
Item20:4\frac{1}{3}-1\frac{5}{3}
References
Data originated from:
Tatsuoka, C. (2002). Data analytic methods for latent partially ordered classification models. Journal of the Royal Statistical Society: Series C (Applied Statistics), 51(3), 337–350. doi: 10.1111/1467-9876.00272
Tatsuoka, K. K. (1984), Analysis of errors in fraction addition and subtraction problems (Final Report for Grant No. NIE-G-81-0002). Urbana: University of Illinois, Computer-Based Education Research Laboratory (CERL).
Data used in:
Chen, Y., Liu, Y., Culpepper, S. A., & Chen, Y. (2021). Inferring the number of attributes for the exploratory DINA model. Psychometrika, 86(1), 30–64. doi: 10.1007/s11336-021-09750-9
Chen, Y., Culpepper, S. A., & Liang, F. (2020). A sparse latent class model for cognitive diagnosis. Psychometrika, 1–33. doi: 10.1007/s11336-019-09693-2
Culpepper, S. A. (2019). Estimating the cognitive diagnosis
Qmatrix with expert knowledge: Application to the fraction-subtraction dataset. Psychometrika, 84(2), 333–357. doi: 10.1007/s11336-018-9643-8Culpepper, S. A., & Chen, Y. (2019). Development and application of an exploratory reduced reparameterized unified model. Journal of Educational and Behavioral Statistics, 44(1), 3–24. doi: 10.3102/1076998618791306
Chen, Y., Culpepper, S. A., Chen, Y., & Douglas, J. (2018). Bayesian estimation of the dina q matrix. Psychometrika, 83(1), 89–108. doi: 10.1007/s11336-017-9579-4