| Title |
Is Rasch model analysis applicable in small sample size pilot studies for assessing item characteristics? An example using PROMIS pain behavior item bank data
|
|---|---|
| Published in |
Quality of Life Research, August 2013
|
| DOI | 10.1007/s11136-013-0487-5 |
| Pubmed ID | |
| Authors |
Wen-Hung Chen, William Lenderking, Ying Jin, Kathleen W. Wyrwich, Heather Gelhorn, Dennis A. Revicki |
| Abstract |
Large samples are generally considered necessary for Rasch model to obtain robust item parameter estimates. Recently, small sample Rasch analysis was suggested as preliminary assessment of items' psychometric properties. This study is to evaluate the Rasch analysis results using small sample sizes. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | <1% |
| Netherlands | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 153 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 43 | 28% |
| Student > Master | 21 | 13% |
| Researcher | 16 | 10% |
| Student > Doctoral Student | 13 | 8% |
| Lecturer | 11 | 7% |
| Other | 24 | 15% |
| Unknown | 28 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 26 | 17% |
| Medicine and Dentistry | 23 | 15% |
| Psychology | 19 | 12% |
| Nursing and Health Professions | 14 | 9% |
| Computer Science | 6 | 4% |
| Other | 35 | 22% |
| Unknown | 33 | 21% |
Attention Score in Context
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#14,760,611
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Outputs from Quality of Life Research
#1,595
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Outputs of similar age from Quality of Life Research
#15
of 28 outputs
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