The structure and stability of the functional independence measure
Reads0
Chats0
TLDR
The necessarily curvilinear relationship between the finite range of recorded FIM raw scores and the conceptually infinite range of additive disability measures is resolved through Rasch analysis.About:
This article is published in Archives of Physical Medicine and Rehabilitation.The article was published on 1994-02-01 and is currently open access. It has received 1105 citations till now. The article focuses on the topics: Functional Independence Measure.read more
Citations
More filters
Journal ArticleDOI
Rasch analysis of a new stroke-specific outcome scale: the Stroke Impact Scale.
TL;DR: The domains are unidimensional, the items have an excellent range of difficulty, and the domain scores differentiated patients into multiple strata.
Journal ArticleDOI
The functional independence measure: Tests of scaling assumptions, structure, and reliability across 20 diverse impairment categories
Margaret G. Stineman,Judy A. Shea,Alan M. Jette,Charles J. Tassoni,Kenneth J. Ottenbacher,Roger C. Fiedler,Carl V. Granger +6 more
TL;DR: The psychometric properties of the summated FIM compare favorably to most standardized health measures used in medical practice and provide support for the motor and cognitive subscales as used in the FIM-FRGs.
Journal ArticleDOI
Evaluation of a preliminary physical function item bank supported the expected advantages of the Patient-Reported Outcomes Measurement Information System (PROMIS).
TL;DR: The methods of the PROMIS project are likely to substantially improve measures of physical function and to increase the efficiency of their administration using CAT.
Book
The encyclopedia of aging
Abstract: THINKING Young children understand the relation between objects and events in a functional manner, such that the first object is seen to go with or to operate on the second object. Complementarity criteria are an integral component of their thinking. Older children and young adults, by contrast, tend to use similarity criteria. In old age, however, the use of complementarity criteria has been found to increase once again (Reese & Rodeheaver, 1985). The reversal to complementarity in old age is thought to be caused by environmental factors rather than being attributable to changes in competence. Young children as well as the elderly are rarely required to state their thoughts in a specifically prescribed way, and complementary categorization therefore seems more natural, since such categorization groups occur naturally in time and space. Older adults do not neces-
Journal ArticleDOI
Recommendations for the use of common outcome measures in traumatic brain injury research
Elisabeth A. Wilde,Gale G. Whiteneck,Jennifer Bogner,Tamara Bushnik,David X. Cifu,Sureyya Dikmen,Louis M. French,Joseph T. Giacino,Tessa Hart,James F. Malec,Scott R. Millis,Thomas A. Novack,Mark Sherer,Mark Sherer,Mark Sherer,David S. Tulsky,Rodney D. Vanderploeg,Nicole von Steinbuechel +17 more
TL;DR: This article summarizes the selection of outcome measures by the interagency Traumatic Brain Injury (TBI) Outcomes Workgroup to address primary clinical research objectives, including documentation of the natural course of recovery from TBI, prediction of later outcome, measurement of treatment effects, and comparison of outcomes across studies.
References
More filters
Journal Article
Observations are always ordinal; measurements, however, must be interval.
TL;DR: The Rasch measurement model provides the necessary and sufficient means to transform ordinal counts into linear measures and is being successfully applied to rating scales.
Journal ArticleDOI
Ordinal scales and foundations of misinference.
TL;DR: The underlying rationale for clinical decision-making based on these scales is examined and some commonly used evaluation instruments are not well suited to this task.
Journal ArticleDOI
Applying Psychometric Criteria to Functional Assessment in Medical Rehabilitation: II. Defining Interval Measures
TL;DR: Two requirements of interval measurement are explained and a set of Rasch analyses of 5,500 assessments using the Patient Evaluation and Conference System (PECS) indicate that the PECS scales meet these requirements to varying degrees.