Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You and Your Team.

Learn More →

Feasibility Study Using Propensity Score Matching Methods for the Pseudo-Common Person Equating Requirement

Feasibility Study Using Propensity Score Matching Methods for the Pseudo-Common Person Equating... We tested if a propensity score (PS) matching method supports the unidimensionality assumption of the Rasch model which is critical to link similar rehabilitation instruments. We obtained 1,013 respondents from the 2009 Hispanic Established Populations for Epidemiologic Studies of the Elderly Frailty study. We used a unidimensional item pool of 10 SF-36 physical function and nine activities of daily living items. Subjects were matched based on their functionality (high and low), and exploratory factor analysis was used to test if the item pool in the matched sample holds the unidimensionality assumption. The study findings revealed that the matched sample demonstrated two distinct measurement structures with excellent model fit. This finding indicates that the PS matching did not mimic the common-person assumption. Therefore, the combination of PS matching and common-person equating method may not be appropriate to equate two rehabilitation-related instruments administered to two different groups. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png OTJR: Occupation, Participation and Health SAGE

Feasibility Study Using Propensity Score Matching Methods for the Pseudo-Common Person Equating Requirement

Loading next page...
 
/lp/sage/feasibility-study-using-propensity-score-matching-methods-for-the-OIWVnnadED
Publisher
SAGE
Copyright
© The Author(s) 2018
ISSN
1539-4492
eISSN
1938-2383
DOI
10.1177/1539449218778535
Publisher site
See Article on Publisher Site

Abstract

We tested if a propensity score (PS) matching method supports the unidimensionality assumption of the Rasch model which is critical to link similar rehabilitation instruments. We obtained 1,013 respondents from the 2009 Hispanic Established Populations for Epidemiologic Studies of the Elderly Frailty study. We used a unidimensional item pool of 10 SF-36 physical function and nine activities of daily living items. Subjects were matched based on their functionality (high and low), and exploratory factor analysis was used to test if the item pool in the matched sample holds the unidimensionality assumption. The study findings revealed that the matched sample demonstrated two distinct measurement structures with excellent model fit. This finding indicates that the PS matching did not mimic the common-person assumption. Therefore, the combination of PS matching and common-person equating method may not be appropriate to equate two rehabilitation-related instruments administered to two different groups.

Journal

OTJR: Occupation, Participation and HealthSAGE

Published: Jan 1, 2019

There are no references for this article.