Modeling of Item Response Functions Under the D -Scoring Method.
This study presents new models for item response functions (IRFs) in the framework of the D -scoring method (DSM) that is gaining attention in the field of educational and psychological measurement and largescale assessments. In a previous work on DSM, the IRFs of binary items were estimated using a...
| Published in: | Educational & Psychological Measurement Vol. 80; no. 1; pp. 126 - 145 |
|---|---|
| Main Author: | |
| Format: | Article |
| Published: |
Sage Publications Inc.
Feb2020
|
| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=141048274&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 141048274 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00131644 EPM jtl: Educational & Psychological Measurement issn: 00131644 maglogo: Y pubinfo: dt: Feb2020 vid: 80 iid: 1 pid: 344 pub: Sage Publications Inc. artinfo: ui: 141048274 10.1177/0013164419854176 ppf: 126 ppct: 19 formats: tig: atl: Modeling of Item Response Functions Under the D -Scoring Method. aug: au: Dimitrov, Dimiter M. affil: National Center for Assessment, Riyadh, Saudi Arabia George Mason University, Fairfax, VA, USA su: Educational tests & measurements Psychometrics Scaling (Social sciences) High performance computing Probability theory Research Research evaluation Statistics Logistic regression analysis Data analysis Research methodology evaluation Statistical models Differential item functioning (Research bias) sug: subj: Educational tests & measurements Psychometrics Scaling (Social sciences) High performance computing Probability theory Research Research evaluation Statistics Logistic regression analysis Data analysis Research methodology evaluation Statistical models Differential item functioning (Research bias) keyword: D-scoring method item response function scaling true scores D-scoring method item response function scaling true scores ab: This study presents new models for item response functions (IRFs) in the framework of the D -scoring method (DSM) that is gaining attention in the field of educational and psychological measurement and largescale assessments. In a previous work on DSM, the IRFs of binary items were estimated using a logistic regression model (LRM). However, the LRM underestimates the item true scores at the top end of the D -scale (ranging from 0 to 1), especially for relatively difficult items. This entails underestimation of true D -scores, inaccuracy in the estimates of their standard errors, and other psychometric issues. The inverse-regression adjustments used to fix this problem are too complicated for regular applications of the DSM and not in line with its simplicity. This issue is resolved with the IRF models proposed in this study, referred to as rational function models (RFMs) with one parameter (RFM1), two parameters (RFM2), and three parameters (RFM3). The proposed RFMs are discussed and illustrated with simulated and real data. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
|---|