Tags

Type your tag names separated by a space and hit enter

Parameter recovery for the rating scale model using PARSCALE.
J Outcome Meas. 1999; 3(2):176-99.JO

Abstract

The purpose of the present study was to investigate item and trait parameter recovery for Andrich's rating scale model using the PARSCALE computer program. The four factors upon which the simulated data matrices varied were (a) the distribution of the scale values for the items (skewed or uniform), (b) the number of category response options (4 or 5), (c) the distribution of known trait levels (normal or skewed), and (d) the sample size (60, 125, 250, 500, or 1,000). Each condition was replicated 10 times resulting in 400 data matrices. Accurate item and trait parameter estimates were obtained for all sample sizes examined. As expected, sample size seemed to have little influence on the recovery of trait parameters but did influence item parameter recovery. The distribution of known trait levels did not seriously impact the item parameter recovery. It was concluded that Andrich's rating scale model allows for the use of considerably smaller calibration samples than are typically recommended for other polytomous IRT models.

Authors+Show Affiliations

University of Texas at Austin, USA.No affiliation info available

Pub Type(s)

Journal Article

Language

eng

PubMed ID

10204326

Citation

French, G A., and B G. Dodd. "Parameter Recovery for the Rating Scale Model Using PARSCALE." Journal of Outcome Measurement, vol. 3, no. 2, 1999, pp. 176-99.
French GA, Dodd BG. Parameter recovery for the rating scale model using PARSCALE. J Outcome Meas. 1999;3(2):176-99.
French, G. A., & Dodd, B. G. (1999). Parameter recovery for the rating scale model using PARSCALE. Journal of Outcome Measurement, 3(2), 176-99.
French GA, Dodd BG. Parameter Recovery for the Rating Scale Model Using PARSCALE. J Outcome Meas. 1999;3(2):176-99. PubMed PMID: 10204326.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Parameter recovery for the rating scale model using PARSCALE. AU - French,G A, AU - Dodd,B G, PY - 1999/4/16/pubmed PY - 1999/4/16/medline PY - 1999/4/16/entrez SP - 176 EP - 99 JF - Journal of outcome measurement JO - J Outcome Meas VL - 3 IS - 2 N2 - The purpose of the present study was to investigate item and trait parameter recovery for Andrich's rating scale model using the PARSCALE computer program. The four factors upon which the simulated data matrices varied were (a) the distribution of the scale values for the items (skewed or uniform), (b) the number of category response options (4 or 5), (c) the distribution of known trait levels (normal or skewed), and (d) the sample size (60, 125, 250, 500, or 1,000). Each condition was replicated 10 times resulting in 400 data matrices. Accurate item and trait parameter estimates were obtained for all sample sizes examined. As expected, sample size seemed to have little influence on the recovery of trait parameters but did influence item parameter recovery. The distribution of known trait levels did not seriously impact the item parameter recovery. It was concluded that Andrich's rating scale model allows for the use of considerably smaller calibration samples than are typically recommended for other polytomous IRT models. SN - 1090-655X UR - https://www.unboundmedicine.com/medline/citation/10204326/Parameter_recovery_for_the_rating_scale_model_using_PARSCALE_ DB - PRIME DP - Unbound Medicine ER -