Comparing the NIS vs. MRC and INCAT sensory scale through Rasch analyses

2015 ◽  
Vol 20 (3) ◽  
pp. 277-288 ◽  
Author(s):  
Thomas H. P. Draak ◽  
Els K. Vanhoutte ◽  
Sonja I. van Nes ◽  
Kenneth C. Gorson ◽  
W.-Ludo Van der Pol ◽  
...  
Keyword(s):  
Rasch Analyses ◽  
Sensory Scale

Advances in Rasch Analyses in the Human Sciences

2020 ◽  
Author(s):  
William J. Boone ◽  
John R. Staver
Keyword(s):  
Human Sciences ◽  
Rasch Analyses

Modified PRISM and SCI-SET Spasticity Measures for Persons With Traumatic Spinal Cord Injury: Results of a Rasch Analyses

2020 ◽  
Vol 101 (9) ◽  
pp. 1570-1579
Author(s):  
W. Mark Sweatman ◽  
Allen W. Heinemann ◽  
Catherine L. Furbish ◽  
Edelle C. Field-Fote
Keyword(s):  
Spinal Cord ◽  
Spinal Cord Injury ◽  
Traumatic Spinal Cord Injury ◽  
Cord Injury ◽  
Rasch Analyses

scholarly journals Validation of ABILOCO in Beninese adults with unilateral lower limb amputation using rasch analyses

2018 ◽  
Vol 61 ◽  
pp. e372
Author(s):  
D.D. Niama Natta ◽  
E. Sogbossi ◽  
Chabi ◽  
E. Alagnide ◽  
T. Kpadonou ◽  
...  
Keyword(s):  
Lower Limb ◽  
Lower Limb Amputation ◽  
Limb Amputation ◽  
Rasch Analyses

scholarly journals The BETA® nursing measure: Calibrating construct validity with Rasch analyses*

2015 ◽  
Vol 20 (1) ◽  
Author(s):  
Hendrik J. Loubser ◽  
Daleen Casteleijn ◽  
Judith C. Bruce
Keyword(s):  
Construct Validity ◽  
Activities Of Daily Living ◽  
Nursing Care ◽  
Rasch Model ◽  
Daily Living ◽  
Successful Outcome ◽  
Direct Result ◽  
Specific Reference ◽  
Rasch Analyses ◽  
The Rasch Model

Background: The BETA nursing measure has been introduced as a tool to routinely measure and monitor the outcomes of patients' activities of daily living in a restorative nursing care context.Objectives: To investigate the BETA's construct validity using the Rasch model with specific reference to the BETA's potential to be used as an interval scale providing metric or interval data.Method: A quantitative analytical design was followed using Rasch analyses whereby BETA raw data was collected from patients (n = 4235) receiving nursing care in 28 South African sub-acute and non-acute nursing facilities. The data was prepared for Rasch analyses and imported into WINSTEP® Software version 3.70.1.1 (2010). Final results were shown by means of figures and graphs.Results: A successful outcome was achieved by dividing the BETA into four subscales. In this process one of the original BETA items was omitted and seven other items required collapsing of their categories before the four subscales achieved a satisfactory fit to the Rasch model.Conclusion: The four BETA subscales achieved “very well” to “excellent” levels of fit to the Rasch model. This finding thus creates an opportunity to convert the BETA's Likert qualities into an interval measure to calculate change in patients' activities of daily living metric allyas a direct result of effective restorative nursing.

scholarly journals Structural validity of Balance Evaluation Systems Test assessed using factor and Rasch analyses in patients with stroke

2018 ◽  
Vol 30 (12) ◽  
pp. 1446-1454 ◽  
Author(s):  
Kazuhiro Miyata ◽  
Satoshi Hasegawa ◽  
Hiroki Iwamoto ◽  
Tomohiro Otani ◽  
Yoichi Kaizu ◽  
...  
Keyword(s):  
Structural Validity ◽  
Evaluation Systems ◽  
Rasch Analyses

Psychometric properties of the Fatigue Severity Scale: Rasch analyses of responses in a Norwegian and a Swedish MS cohort

2010 ◽  
Vol 16 (6) ◽  
pp. 733-741 ◽  
Author(s):  
A. Lerdal ◽  
S. Johansson ◽  
A. Kottorp ◽  
L. von Koch
Keyword(s):  
Psychometric Properties ◽  
Goodness Of Fit ◽  
Temporal Stability ◽  
Fatigue Severity Scale ◽  
Response Patterns ◽  
Severity Scale ◽  
Rigorous Testing ◽  
Rasch Analyses ◽  
Fatigue Severity ◽  
Swedish Cohort

Background: Rigorous testing of the original Fatigue Severity Scale (FSS—9) with modern psychometric methods is warranted. Objective: To determine the psychometric properties of the FSS—9 in multiple sclerosis (MS): internal scale validity; person response validity; unidimensionality; uniform differential item functioning; temporal stability of response patterns; and ability to separate people into distinct groups of fatigue. Methods: Rasch analyses were conducted on data from a Norwegian and a Swedish MS cohort followed for two years. Results: Item estimations in the FSS—9 did not differ between sex or levels of education but between the cohorts with regard to disability, disease course and time for evaluation, however, items 1 and 2 demonstrated unacceptable high outfit mean-square values in both cohorts. In an FSS—7 item version, items 3 and 4 in the Norwegian and 4 in the Swedish cohort demonstrated unacceptable goodness of fit but high separation indexes. In the FSS—7, the first unidimensional factor explained 87.5% (Norwegian cohort) and 86.4% (Swedish cohort) of the total variation. Conclusions: In MS, the FSS—7 demonstrates better psychometric properties than the FSS—9; items 1 and 2 neither empirically nor conceptually fit with the other seven items.

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