John Michael Linacre

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Factor analysis is a powerful technique for investigating multidimensionality in observational data, but it fails to construct interval measures. Rasch analysis constructs interval measures, but only indirectly flags the presence of multidimensional structures. Simulation studies indicate that, for responses to complete tests, construction of Rasch measures(More)
The Visual Analog Scale (VAS) can be used to record subjectively experienced pain in different situations (items). By a mathematical method, the Rasch analysis, the original VAS recordings can be converted to an interval scale. Forty women with Patellofemoral Pain Syndrome (PFPS) reported their pain on the VAS from 12 different situations (items) before and(More)
OBJECTIVES To develop a new rating scale for measuring the health impact of cervical dystonia (CD) that includes patients' perceptions and complements existing observer dependent clinician rating scales. METHODS Scale development was in three stages. In Stage 1, a large pool of items was generated from patient interviews (n = 25), expert opinion, and(More)
The Functional Independence Measure (FIM) records the severity of disability of rehabilitation patients. 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. The analysis of admission and discharge FIM ratings of(More)
The functional independence measure (FIM) is used to determine the degree of disability that patients experience and the progress that they make through programs of medical rehabilitation. Rasch analysis is a statistical technique for constructing interval measures from ordinal data that was applied to derive FIM measures. The major factors that are taken(More)
This study was conducted to scale the Functional Independence Measure (FIM) with Rasch Analysis and to determine the similarity of scaled measures across impairment groups. The results show that the FIM contains two fundamental subsets of items: one measures motor and the second measures cognitive function. Rasch analysis of the Uniform Data System for(More)
This study evaluated the extent to which rehabilitation outcomes and resource use can be predicted by functional status measures. Linear measures of motor and cognitive function were derived from the Functional Independence Measure for a sample of 27,699 patients undergoing initial rehabilitation. Admission functional status was consistently related to(More)
PURPOSE Cancer patients who are deficient in literacy skills are particularly vulnerable to experiencing different outcomes due to disparities in care or barriers to care. Outcomes measurement in low literacy patients may provide new insight into problems previously undetected due to the challenges of completing paper-and-pencil forms. DESCRIPTION OF(More)