Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Quality of Life Assessment Using the Leg Activity Measure in Ambulatory Individuals With Leg Spasticity: Findings From a Longitudinal, Observational Study Evaluating the Effectiveness of AbobotulinumtoxinA in Routine Practice.

Archives of rehabilitation research and clinical translation·2026
Same author

Use and impact of assistive devices in activities of daily living among adults with advanced respiratory disease: a secondary data analysis.

Disability and rehabilitation. Assistive technology·2026
Same author

Gambling help seeking and self-management in New Zealand and Australia: a cross-sectional survey with quota sampling of priority populations.

Harm reduction journal·2026
Same author

Triggered chain reaction: The meanings of symptom clusters for patients with chronic obstructive pulmonary disease: A cross-sectional qualitative study.

PloS one·2026
Same author

Evolution of goal setting and attainment over repeated cycles of botulinum toxin A for upper limb spasticity in real-life clinical practice: longitudinal analyses from the observational ULIS-III cohort study.

Journal of rehabilitation medicine·2026
Same author

Mapping the Interplay Between Postconcussion Symptoms and Functional Disability After Mild Traumatic Brain Injury: A Network Analysis Across Treatment Care Settings.

The Journal of head trauma rehabilitation·2026

Related Experiment Video

Updated: Apr 14, 2026

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
07:24

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

Published on: April 21, 2017

13.2K

Rasch measurement: the Arm Activity measure (ArmA) passive function sub-scale.

Stephen Ashford1,2, Richard J Siegert3, Roxana Alexandrescu2

  • 1a Regional Rehabilitation Unit , Northwick Park Hospital , Middlesex , UK .

Disability and Rehabilitation
|April 29, 2015
PubMed
Summary

The Arm Activity measure (ArmA) passive function sub-scale conforms to the Rasch model after addressing disordered thresholds. This confirms its clinical applicability and usefulness for evaluating rehabilitation outcomes.

Keywords:
ActivitiesArm Activity measureRascharmpsychometricsunidimensionality

More Related Videos

Evaluation of Respiratory Muscle Activation Using Respiratory Motor Control Assessment RMCA in Individuals with Chronic Spinal Cord Injury
09:37

Evaluation of Respiratory Muscle Activation Using Respiratory Motor Control Assessment RMCA in Individuals with Chronic Spinal Cord Injury

Published on: July 19, 2013

10.8K
Development of a Virtual Reality Assessment of Everyday Living Skills
10:32

Development of a Virtual Reality Assessment of Everyday Living Skills

Published on: April 23, 2014

19.5K

Related Experiment Videos

Last Updated: Apr 14, 2026

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers
07:24

A Method for Quantifying Upper Limb Performance in Daily Life Using Accelerometers

Published on: April 21, 2017

13.2K
Evaluation of Respiratory Muscle Activation Using Respiratory Motor Control Assessment RMCA in Individuals with Chronic Spinal Cord Injury
09:37

Evaluation of Respiratory Muscle Activation Using Respiratory Motor Control Assessment RMCA in Individuals with Chronic Spinal Cord Injury

Published on: July 19, 2013

10.8K
Development of a Virtual Reality Assessment of Everyday Living Skills
10:32

Development of a Virtual Reality Assessment of Everyday Living Skills

Published on: April 23, 2014

19.5K

Area of Science:

  • Rehabilitation science
  • Psychometrics
  • Clinical outcome measurement

Background:

  • The Arm Activity measure (ArmA) assesses upper limb function in patients undergoing rehabilitation.
  • Evaluating the psychometric properties of clinical measures is crucial for accurate outcome assessment.
  • The passive function sub-scale of the ArmA requires evaluation for its suitability in clinical practice.

Purpose of the Study:

  • To evaluate the conformity of the Arm Activity measure (ArmA) passive function sub-scale to the Rasch model.
  • To determine if the ArmA passive function sub-scale meets the requirements of a unidimensional measurement model.
  • To assess the clinical applicability and usefulness of the ArmA passive function sub-scale.

Main Methods:

  • Rasch analysis was employed to examine the scaling properties and model conformity of the ArmA passive function sub-scale.
  • Patient responses (n=92) from two specialist rehabilitation units were analyzed using Rasch unidimensional measurement models (RUMM 2030).
  • Key aspects evaluated included item fit, reliability, threshold ordering, item bias, local dependency, and unidimensionality.

Main Results:

  • Initial analysis revealed disordered thresholds in four of the seven items, which were subsequently rescored, leading to ordered thresholds for all items.
  • No significant item bias was found for age, disability level, or diagnosis, with only a minor difficulty difference between males and females for one item.
  • The sub-scale demonstrated good fit to the Rasch model, supported unidimensionality, and absence of local dependency. The Person Separation Index (PSI) of 0.95 indicated reliable differentiation between patient groups.

Conclusions:

  • The ArmA passive function sub-scale conforms to the Rasch model after addressing disordered thresholds, confirming its potential as a clinically applicable hierarchical measure.
  • Rasch logit scores derived from the model can be converted back to the original scale, facilitating the indication of real change.
  • This measure enables effective evaluation of clinical outcomes relevant to both patients and clinicians in rehabilitation settings.