scholarly journals A Rasch-Validated Version of the Upper Extremity Functional Index for Interval-Level Measurement of Upper Extremity Function

2013 ◽  
Vol 93 (11) ◽  
pp. 1507-1519 ◽  
Author(s):  
Clayon B. Hamilton ◽  
Bert M. Chesworth
Keyword(s):  
Differential Item Functioning ◽  
Upper Extremity ◽  
Rasch Model ◽  
Rasch Analysis ◽  
Measurement Properties ◽  
Functional Index ◽  
Extremity Function ◽  
Item Functioning ◽  
Upper Extremity Function ◽  
The Rasch Model

Background The original 20-item Upper Extremity Functional Index (UEFI) has not undergone Rasch validation. Objective The purpose of this study was to determine whether Rasch analysis supports the UEFI as a measure of a single construct (ie, upper extremity function) and whether a Rasch-validated UEFI has adequate reproducibility for individual-level patient evaluation. Design This was a secondary analysis of data from a repeated-measures study designed to evaluate the measurement properties of the UEFI over a 3-week period. Methods Patients (n=239) with musculoskeletal upper extremity disorders were recruited from 17 physical therapy clinics across 4 Canadian provinces. Rasch analysis of the UEFI measurement properties was performed. If the UEFI did not fit the Rasch model, misfitting patients were deleted, items with poor response structure were corrected, and misfitting items and redundant items were deleted. The impact of differential item functioning on the ability estimate of patients was investigated. Results A 15-item modified UEFI was derived to achieve fit to the Rasch model where the total score was supported as a measure of upper extremity function only. The resultant UEFI-15 interval-level scale (0–100, worst to best state) demonstrated excellent internal consistency (person separation index=0.94) and test-retest reliability (intraclass correlation coefficient [2,1]=.95). The minimal detectable change at the 90% confidence interval was 8.1. Limitations Patients who were ambidextrous or bilaterally affected were excluded to allow for the analysis of differential item functioning due to limb involvement and arm dominance. Conclusion Rasch analysis did not support the validity of the 20-item UEFI. However, the UEFI-15 was a valid and reliable interval-level measure of a single dimension: upper extremity function. Rasch analysis supports using the UEFI-15 in physical therapist practice to quantify upper extremity function in patients with musculoskeletal disorders of the upper extremity.

scholarly journals Investigating Psychometric Properties of the Arm Activity Measure – Thai Version (ArmA-TH) Sub-Scales Using the Rasch Model

2020 ◽  
Author(s):  
Montana Buntragulpoontawee ◽  
Jeeranan Khunachiva ◽  
Patreeya Euawongyarti ◽  
Nahathai Wongpakaran ◽  
Tinakon Wongpakaran ◽  
...  
Keyword(s):  
Rasch Model ◽  
Rasch Analysis ◽  
Measurement Properties ◽  
Brain Disorders ◽  
Local Independence ◽  
Fit Statistics ◽  
Active Function ◽  
Item Functioning ◽  
The Rasch Model ◽  
Activity Measure

Abstract Background: This study investigated the ArmA-TH measurement properties based on item response theory, using the Rasch model. Methods: Patients with upper limb hemiplegia resulting from cerebrovascular and other brain disorders were asked to completed the ArmA-TH questionnaire. Rasch analysis was performed to test how well the ArmA-TH passive and active function sub-scales fit the Rasch model by investigating unidimensionality, response category functioning, reliability of the person and item, and differential item functioning (DIF) for age, sex and education. Results: Participants had stroke or other acquired brain injury (n=185) and the majority were men 126(68.1%), with a mean age of 55(SD 22). Most patients 91(49.2%) graduated elementary/primary school. For the ArmA-TH passive function scale, all items had acceptable fit statistics. The scale’s unidimensionality, and local independence were supported. The reliability was acceptable. Disordered threshold was found in five items, none was DIF. For the ArmA-TH active function scale, one item was misfitting and three were locally dependent. The reliability was good. DIF was not found. All items had disordered thresholds, and data fitted the Rasch model better after rescoring.Conclusions: Both sub-scales of ArmA-TH fitted the Rasch model, and are valid and reliable. The disordered thresholds should be further investigated.

scholarly journals Investigating Psychometric Properties of the Arm Activity Measure – Thai Version (ArmA-TH) Sub-scales Using the Rasch Model

2020 ◽  
Author(s):  
Montana Buntragulpoontawee ◽  
Jeeranan Khunachiva ◽  
Patreeya Euawongyarti ◽  
Nahathai Wongpakaran ◽  
Tinakon Wongpakaran ◽  
...  
Keyword(s):  
Rasch Model ◽  
Rasch Analysis ◽  
Measurement Properties ◽  
Brain Disorders ◽  
Local Independence ◽  
Fit Statistics ◽  
Active Function ◽  
Item Functioning ◽  
The Rasch Model ◽  
Activity Measure

Abstract Background: This study investigated the ArmA-TH measurement properties based on item response theory, using the Rasch model. Methods: Patients with upper limb hemiplegia resulting from cerebrovascular and other brain disorders were asked to completed the ArmA-TH questionnaire. Rasch analysis was performed to test how well the ArmA-TH passive and active function sub-scales fit the Rasch model by investigating unidimensionality, response category functioning, reliability of the person and item, and differential item functioning (DIF) for age, sex and education. Results: Participants had stroke or other acquired brain injury (n=185) and the majority were men 126(68.1%), with a mean age of 55(SD 22). Most patients 91(49.2%) graduated elementary/primary school. For the ArmA-TH passive function scale, all items had acceptable fit statistics. The scale’s unidimensionality, and local independence were supported. The reliability was acceptable. Disordered threshold was found in five items, none was DIF. For the ArmA-TH active function scale, one item was misfitting and three were locally dependent. The reliability was good. DIF was not found. All items had disordered thresholds, and data fitted the Rasch model better after rescoring.Conclusions: Both sub-scales of ArmA-TH fitted the Rasch model, and are valid and reliable. The disordered thresholds should be further investigated.

scholarly journals Investigating psychometric properties of the arm activity measure – Thai version (ArmA-TH) sub‐scales using the Rasch model

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Montana Buntragulpoontawee ◽  
Jeeranan Khunachiva ◽  
Patreeya Euawongyarti ◽  
Nahathai Wongpakaran ◽  
Tinakon Wongpakaran ◽  
...  
Keyword(s):  
Rasch Model ◽  
Rasch Analysis ◽  
Measurement Properties ◽  
Brain Disorders ◽  
Local Independence ◽  
Fit Statistics ◽  
Active Function ◽  
Item Functioning ◽  
The Rasch Model ◽  
Activity Measure

Abstract Background This study investigated the ArmA-TH sub-scale measurement properties based on item response theory using the Rasch model. Methods Patients with upper limb hemiplegia resulting from cerebrovascular and other brain disorders were asked to complete the ArmA-TH questionnaire. Rasch analysis was performed to test how well the ArmA-TH passive and active function sub-scales fit the Rasch model by investigating unidimensionality, response category functioning, reliability of person and item, and differential item functioning (DIF) for age, sex, and education. Results Participants had stroke or other acquired brain injury (n = 185), and the majority were men (126, 68.1 %), with a mean age of 55 (SD 22). Most patients (91, 49.2 %) had graduated from elementary/primary school. For the ArmA-TH passive function scale, all items had acceptable fit statistics. The scale’s unidimensionality and local independence were supported. The reliability was acceptable. A disordered threshold was found for five items, and none indicated DIF. For the ArmA-TH active function scale, one item was misfit and three were locally dependent. The reliability was good. No items showed DIF. All items had disordered thresholds, and the data fitted the Rasch model better after rescoring. Conclusions Both sub-scales of ArmA-TH fitted the Rasch model and were valid and reliable. The disordered thresholds should be further investigated.

Methodological aspects of differential item functioning in the Rasch model

2007 ◽  
Vol 10 (3) ◽  
pp. 309-324 ◽  
Author(s):  
John Brodersen ◽  
David Meads ◽  
Svend Kreiner ◽  
Hanne Thorsen ◽  
Lynda Doward ◽  
...  
Keyword(s):  
Differential Item Functioning ◽  
Rasch Model ◽  
Item Functioning ◽  
Methodological Aspects ◽  
The Rasch Model

A Rasch Analysis of the Tims, Bakker, and Derks (2012) Job Crafting Scale

2018 ◽  
Vol 27 (4) ◽  
pp. 579-593
Author(s):  
Sergio L. Peral ◽  
Madelyn Geldenhuys
Keyword(s):  
South African ◽  
Rasch Model ◽  
Rasch Analysis ◽  
Well Being ◽  
Job Crafting ◽  
Research Attention ◽  
Men And Women ◽  
Item Functioning ◽  
Validation Technique ◽  
The Rasch Model

A Rasch validation was performed on the Tims, Bakker, and Derks’s Job Crafting Scale (JCS) in the South African working context. The JCS, which has been linked to employee well-being and career-related outcomes, continues to be the most widely used measure of job crafting behavior. Data obtained from the JCS generally showed good fit to the Rasch model. Four items were flagged during the analysis for displaying misfit (1 item) or differential item functioning (3 items), warranting further research attention. The study disclosed the dimensionality of the JCS, the hierarchical ordering and fit of the items, the functionality of the response format, and the ability of the JCS to measure invariantly across men and women, yielding new and interesting insights into the psychometric properties of the scale. The study contributes to research concerning the validity of the JCS in a non-European context, particularly through the use of Rasch analysis as a validation technique.

scholarly journals KOOS-JR Demonstrates Psychometric Limitations in Measuring Knee Health in Individuals After ACL Reconstruction

2018 ◽  
Vol 11 (3) ◽  
pp. 242-246 ◽  
Author(s):  
Jennifer L. Hunnicutt ◽  
Brittany N. Hand ◽  
Chris M. Gregory ◽  
Harris S. Slone ◽  
Michelle M. McLeod ◽  
...  
Keyword(s):  
Rasch Model ◽  
Rasch Analysis ◽  
Rating Scale ◽  
Short Form ◽  
Model Fit ◽  
Measurement Properties ◽  
Factor Analysis Model ◽  
Ceiling Effects ◽  
The Mean ◽  
The Rasch Model

Background: Measurement properties of the short form of the Knee injury and Osteoarthritis Outcome Score (KOOS-JR) are not established in individuals after anterior cruciate ligament reconstruction (ACLR). The purpose of this study was to determine the extent to which the KOOS-JR measures the construct of knee health in individuals post-ACLR using Rasch analysis. Hypothesis: The KOOS-JR will fit the Rasch model, but significant ceiling effects will be present. Study Design: Cross-sectional study. Level of Evidence: Level 3. Methods: Rasch analysis of the KOOS-JR from 166 individuals 10 months post-ACLR was conducted. Unidimensionality, a key criterion of the Rasch model, was evaluated using confirmatory factor analysis. Model fit of the rating scale, items, and persons were evaluated. Mean square fit statistics ≥1.6 and standardized z-scores ≥2.0 were indicative of person or item misfit. Additionally, reliability indicators including person reliability and separation indices were examined. Results: The KOOS-JR fit the criteria of unidimensionality. All items demonstrated model fit; however, ceiling effects were noted (n = 36; 22%). Person reliability was low (0.47). Calculation of person strata revealed that the KOOS-JR did not separate participants into more than 1 stratum. The mean person measure was 3.56 logits higher than the mean item measure, indicating that this sample is skewed toward increased knee health. Conclusion: Although the KOOS-JR represented a unidimensional construct with items and persons fitting the Rasch model, several limitations were noted: ceiling effects, low person reliability, and poor person differentiation. Ceiling effects indicate that many individuals in this sample experienced better knee health than the KOOS-JR items were able to measure. Clinical Relevance: Evaluating the measurement properties of the KOOS-JR is necessary to determine its clinical value in sports medicine. In later stages after ACLR recovery, administration of the KOOS-JR may not be adequate.

scholarly journals DEMQOL and DEMQOL-Proxy: a Rasch analysis among those diagnosed with dementia

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
A. A. Jolijn Hendriks ◽  
Sarah C. Smith ◽  
Nick Black
Keyword(s):  
Rasch Model ◽  
Rasch Analysis ◽  
Qualitative Investigation ◽  
Family Carers ◽  
Local Independence ◽  
Response Options ◽  
Item Fit ◽  
Item Functioning ◽  
Diagnosis Of Dementia ◽  
The Rasch Model

Abstract Background In previous work we concluded that DEMQOL and DEMQOL-Proxy can provide robust measurement of HRQL in dementia when scores are derived from analysis using the Rasch model. As the study sample included people with mild cognitive impairment, we undertook a replication study in the subsample with a diagnosis of dementia (PWD). PWD constitute the population for whom DEMQOL and DEMQOL-Proxy were originally developed. Methods We conducted a Rasch model analysis using the RUMM2030 software to re-evaluate DEMQOL (441 PWD) and DEMQOL-Proxy (342 family carers). We evaluated scale to sample targeting, ordering of item thresholds, item fit to the model, and differential item functioning (sex, age, severity, relationship), local independence, unidimensionality and reliability. Results For both DEMQOL and DEMQOL-Proxy, results were highly similar to the results in the original sample. We found the same problems with content and response options. Conclusions DEMQOL and DEMQOL-Proxy can provide robust measurement of HRQL in people with a diagnosis of dementia when scores are derived from analysis using the Rasch model. As in the wider sample, the problems identified with content and response options require qualitative investigation in order to improve the scoring of DEMQOL and DEMQOL-Proxy.

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