Hui-Fang Chen

Dr. Hui-Fang Chen

City University of Hong Kong, Hong Kong, China
orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2012 in Archives of Physical Medicine and Rehabilitation
Verified
Journal Article
Closed access
HCHui-Fang Chen
Hui-Fang Chen
KLKeh-Chung Lin
Keh-Chung Lin
Ching-yi WuChing-yi Wu
Ching-yi Wu
CCChia-Ling Chen
Chia-Ling Chen

6 April 2014 in Educational and Psychological Measurement
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Journal Article
Closed access
WWWen-Chung Wang
Wen-Chung Wang
HCHui-Fang Chen
Hui-Fang Chen
KJKuan-Yu Jin
Kuan-Yu Jin
Many scales contain both positively and negatively worded items. Reverse recoding of negatively worded items might not be enough for them to function as positively worded items do. In this study, we commented on the drawbacks of existing approaches to wording effect in mixed-format scales and used bi-factor item response theory (IRT) models to test the assumption of reverse coding and evaluate the magnitude of the wording effect. The parameters of the bi-factor IRT models can be estimated with existing computer programs. Two empirical examples from the Program for International Student Assessment and the Trends in International Mathematics and Science Study were given to demonstrate the advantages of the bi-factor approach over traditional ones. It was found that the wording effect in these two data sets was substantial and that ignoring the wording effect resulted in overestimated test reliability and biased person measures.

1 March 2012 in Research in Developmental Disabilities
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Journal Article
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KLKeh-Chung Lin
Keh-Chung Lin
HCHui-Fang Chen
Hui-Fang Chen
CCChia-Ling Chen
Chia-Ling Chen
TWTIEN NI Wang
TIEN NI Wang
Ching-yi WuChing-yi Wu
Ching-yi Wu
LWLi-Ling Wu
Li-Ling Wu

1 January 2022
Verified
Book Chapter
Closed access
YSYiyun Shou
Yiyun Shou
MSMartin Sellbom
Martin Sellbom
HCHui-Fang Chen
Hui-Fang Chen

18 August 2017 in Organizational Research Methods
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Journal Article
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KJKuan-Yu Jin
Kuan-Yu Jin
HCHui-Fang Chen
Hui-Fang Chen
WWWen-Chung Wang
Wen-Chung Wang
Inattentive responses can threaten measurement quality, yet they are common in rating- or Likert-scale data. In this study, we proposed a new mixture item response theory model to distinguish inattentive responses from normal responses so that test validity can be ascertained. Simulation studies demonstrated that the parameters of the new model were recovered fairly well using the Bayesian methods implemented in the freeware WinBUGS, and fitting the new model to data that lacked inattentive responses did not result in severely biased parameter estimates. In contrast, ignoring inattentive responses by fitting standard item response theory models to data containing inattentive responses yielded seriously biased parameter estimates and a failure to distinguish inattentive participants from normal participants; the person-fit statistic lz was also unsatisfactory in identifying inattentive responses. Two empirical examples demonstrate the applications of the new model.

3 May 2012 in Physical Therapy
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Journal Article
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HCHui-Fang Chen
Hui-Fang Chen
Ching-yi WuChing-yi Wu
Ching-yi Wu
KLKeh-Chung Lin
Keh-Chung Lin
HCHsieh-Ching Chen
Hsieh-Ching Chen
CCCarl P-C. Chen
Carl P-C. Chen
CCChih-Kuang Chen
Chih-Kuang Chen
Background: The construct validity and reliability of the short form of the Wolf Motor Function Test (S-WMFT) in people with subacute stroke and chronic stroke (S-WMFT subacute stroke and chronic stroke versions) have not been investigated.Objective: The purpose of this study was to investigate the dimensionality, item difficulty hierarchy, differential item functioning (DIF), and reliability of the S-WMFT subacute stroke and chronic stroke versions in people with mild to moderate upper-extremity (UE) dysfunction.Design: This was a secondary study in which data collected from randomized controlled trials were used.Methods: Data were collected at baseline from 97 people with chronic stroke (>12 months after stroke) and 75 people with subacute stroke (3–9 months after stroke) at 3 medical centers in Taiwan. Test structure, hierarchical properties, DIF, and reliability were assessed with Rasch analysis.Results: The test structure for both versions was unidimensional. No DIF relevant to sex, age, or stroke location (hemispheric laterality) was detected. The tasks of moving a hand to a box and moving a hand to a table in the S-WMFT for subacute stroke showed a significantly high correlation. The reliability coefficients for both versions were approximately .90.Limitations: The findings were limited to people with stroke and mild to moderate impairment of UE function.Conclusions: The S-WMFT subacute stroke and chronic stroke versions are useful tools for assessing UE function in different subgroups of people with stroke and show evidence of construct validity and reliability. A high correlation between the tasks of moving a hand to a box and moving a hand to a table in the S-WMFT for subacute stroke suggests that the removal of 1 of these 2 items is warranted.