2019
DOI: 10.1177/0269215519846225
|View full text |Cite
|
Sign up to set email alerts
|

Calibration of an item bank in 474 orthopedic patients using Rasch analysis for computer-adaptive assessment of anxiety

Abstract: Objective: To calibrate an item bank of anxiety-related questions for use in orthopedic patients within a computer-adaptive test. Design: This is a psychometric study. Setting: The sample of orthopedic patients was recruited in two orthopedic rehabilitation clinics in Germany. Subjects: A total of 474 orthopedic rehabilitation patients were recruited for this study. Interventions: Not applicable. Main measures: The main measure is an adapted version of an existing anxiety item pool for cardiovascular rehabilit… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
5
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
5
1

Relationship

2
4

Authors

Journals

citations
Cited by 6 publications
(5 citation statements)
references
References 47 publications
0
5
0
Order By: Relevance
“…Mentioned studies confirm the global trend that there is currently a growing number of high-quality ICF-related developments in rehabilitation contexts (26)(27)(28). However, the role of physical activity and sport represents an important variable that seems to play a subordinate role in the current discourse.…”
Section: Results Of the 2021 Rehabilitation International Congressmentioning
confidence: 73%
“…Mentioned studies confirm the global trend that there is currently a growing number of high-quality ICF-related developments in rehabilitation contexts (26)(27)(28). However, the role of physical activity and sport represents an important variable that seems to play a subordinate role in the current discourse.…”
Section: Results Of the 2021 Rehabilitation International Congressmentioning
confidence: 73%
“…There are several possibilities to account for LD. In the framework of item banks, one of the items of the locally dependent pair of items either has to be deleted or deleted and reentered by using anchoring [25]. In case of scales, LD can either be resolved by deleting one of the locally dependent items or by creating testlets [26].…”
Section: Item Analysis According To the Rasch Modelmentioning
confidence: 99%
“…For example, Bjorner et al (2017) used the Rasch model to create a pool of high-quality items, with only five items from the pool having a very high concordance with the score based on all items. Kallinger et al (2019) used the same model to calibrate an item bank of anxiety-related questions for orthopedic patients. The item bank serves as the foundation for a computer-adaptive exam that can be used to assess a wide variety of anxiety in orthopedic rehabilitation patients.…”
Section: Calibrated Item Poolmentioning
confidence: 99%