Applying the Rasch Model: Fundamental Measurement in the Human Sciences

Bond, Trevor G.; Fox, Christine

doi:10.1111/j.1745-3984.2003.tb01103.x

Cited by 3,277 publications

(6,788 citation statements)

References 3 publications

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“…14 Fit statistics were used to examine how well the data from participants and items met the model assumptions. 15 The item-respondent map was inspected to evaluate content representation of each item to ensure items and respondents were appropriately targeted. 15 Further analyses were performed using SPSS for Windows (Version 17, SPSS, Inc., Chicago, IL, USA).…”

Section: Resultsmentioning

confidence: 99%

“…15 The item-respondent map was inspected to evaluate content representation of each item to ensure items and respondents were appropriately targeted. 15 Further analyses were performed using SPSS for Windows (Version 17, SPSS, Inc., Chicago, IL, USA). Factor analysis was performed to assess the unidimensionality of the SCI-FCS and to identify underlying dimensions of concern about falling in people with SCI.…”

Section: Resultsmentioning

confidence: 99%

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A Falls Concern Scale for people with spinal cord injury (SCI-FCS)

et al. 2010

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Study design: Observational study and cross-sectional survey. Objectives: To develop a scale assessing concern about falling in people with spinal cord injuries who are dependent on manual wheelchairs, and to evaluate psychometric properties of this new scale. Setting: Community and hospitals, Australia. Methods: The Spinal Cord Injury-Falls Concern Scale (SCI-FCS) was developed in consultation with SCI professionals. The SCI-FCS addressed concern about falling during 16 activities of daily living associated with falling and specific to people with SCI. One hundred and twenty-five people with either acute or chronic SCI who used manual wheelchairs were assessed on the SCI-FCS and asked questions related to their SCI and overall physical abilities. A subgroup of 20 people was reassessed on the SCI-FCS within 7 days. Results: The SCI-FCS had excellent internal and test-retest reliability (Cronbach's a ¼ 0.92, intra-class correlation coefficient (ICC) ¼ 0.93). Factor analysis revealed three underlying dimensions of the SCI-FCS addressing concern about falling during activities that limit hand support and require movement of the body's centre of mass. The discriminative ability of the SCI-FCS between different diagnostic groups indicated good construct validity. Subjects with a high level of SCI, few previous falls, dependence in vertical transfers and poor perceived sitting ability demonstrated high levels of concern about falling. Conclusions: This study suggests that the SCI-FCS is a valid and reliable tool for assessing concern about falling in people with SCI dependent on manual wheelchairs. The SCI-FCS could also assist in determining the effectiveness of fall minimization programs.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

A Falls Concern Scale for people with spinal cord injury (SCI-FCS)

et al. 2010

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“…The Andrich rating scale model was adopted. 13 The technicalities of Rasch modeling are now accessible to lay professionals in simple textbooks 18,19 and in articles conceived for professionals working in diverse fields such as education 20 and rehabilitation. 9 Several dedicated and increasingly user-friendly software programs are also available (see www.rasch.org for an overview on software and training opportunities).…”

Section: Agreement (Fit) Between Actual and Expected Responsesmentioning

confidence: 99%

“…When the mean item difficulty is contrasted across two classes of patients, location of the difficulty measures should fall within the 95% confidence bands surrounding the identity line ( Figure 4). 15,18,19 Six countries were included in this study, making the analysis of country-DIF more complex. The average difficulty of each item within each subscale was Figure 2 (a) The items feeding, bathing, and grooming share the same category structure within the self-care SCIM scale.…”

Section: Agreement (Fit) Between Actual and Expected Responsesmentioning

confidence: 99%

A multicenter international study on the Spinal Cord Independence Measure, version III: Rasch psychometric validation

et al. 2006

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Background: A third version of the Spinal Cord Independence Measure (SCIM III), made up of three subscales, was formulated following comments by experts from several countries and Rasch analysis performed on the previous version. Objective: To examine the validity, reliability, and usefulness of SCIM III using Rasch analysis. Design: Multicenter cohort study. Setting: Thirteen spinal cord units in six countries from North America, Europe, and the Middle-East. Subjects: 425 patients with spinal cord lesions (SCL). Interventions: SCIM III assessments by professional staff members. Rasch analysis of admission scores. Main outcome measures: SCIM III subscale match between the distribution of item difficulty grades and the patient ability measurements; reliability of patient ability measures; fit of data to Rasch model requirements; unidimensionality of each subscale; hierarchical ordering of categories within items; differential item functioning across classes of patients and across countries. Results: Results supported the compatibility of the SCIM subscales with the stringent Rasch requirements. Average infit mean-square indices were 0.79-1.06; statistically distinct strata of abilities were 3 to 4; most thresholds between adjacent categories were properly ordered; item hierarchy was stable across most of the clinical subgroups and across countries. In a few items, however, misfit or category threshold disordering were found. Conclusions: The scores of each SCIM III subscale appear as a reliable and useful quantitative representation of a specific construct of independence after SCL. This justifies the use of SCIM in clinical research, including cross-cultural trials. The results also suggest that there is merit in further refining the scale.Spinal Cord (2007) 45, 275-291.

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“…When data fit the Rasch model well, fit statistics will fall within an acceptable range of 0.6-1.4 (Linacre and Wright, 1994). Because infit statistics are weighted locally, they are less susceptible to outlier influences than outfit statistics and generally preferred (Bond and Fox, 2001). Therefore, we eliminated those items whose infit statistics fell outside of the acceptable range but retained those items with acceptable infit but poor outfit statistics.…”

Section: Data Analysis Planmentioning

confidence: 99%

Cigarette smoking and the lifetime alcohol involvement continuum

Kahler

Strong

Papandonatos

et al. 2008

Drug and Alcohol Dependence

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Greater understanding of how alcohol use relates to the initiation, progression, and persistence of cigarette smoking is of great significance for efforts to prevent and treat smoking and excessive drinking and their substantial combined iatrogenic effects on health. Studies investigating the relationship between levels of alcohol involvement and smoking have typically been limited by analytic approaches that treat drinking behavior and alcohol use disorder diagnoses as separate phenomena rather than as indicators of a single latent alcohol involvement dimension. The purposes of the present study were (a) to create a lifetime index of alcohol involvement that integrates information about alcohol consumption and alcohol problems into a single measure and (b) to relate this index to initiation of smoking, progression from initiation to daily smoking, progression from initiation to dependence, and persistence of smoking. Rasch model analyses of data from 1,508 middle-aged (34-44 years) adults showed that creating an additive index of lifetime alcohol involvement was psychometrically supported. Significant quadratic effects of alcohol involvement on initiation, progression, and persistence of smoking demonstrated that there were specific regions of the alcohol involvement continuum that were particularly strongly related to increased smoking. These results provide the most comprehensive depiction to date of the nature of the relationship between lifetime alcohol involvement and lifetime cigarette smoking and suggest potential avenues for research on the etiology and maintenance of smoking and tobacco dependence.

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Applying the Rasch Model: Fundamental Measurement in the Human Sciences

Cited by 3,277 publications

References 3 publications

A Falls Concern Scale for people with spinal cord injury (SCI-FCS)

A Falls Concern Scale for people with spinal cord injury (SCI-FCS)

A multicenter international study on the Spinal Cord Independence Measure, version III: Rasch psychometric validation

Cigarette smoking and the lifetime alcohol involvement continuum

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