scholarly journals Psychometric evaluation of the Interpersonal Needs Questionnaire (INQ) using item analysis according to the Rasch model

PLoS ONE ◽  
2020 ◽  
Vol 15 (8) ◽  
pp. e0232030
Author(s):  
Luz Dary Upegui-Arango ◽  
Thomas Forkmann ◽  
Tine Nielsen ◽  
Nina Hallensleben ◽  
Heide Glaesmer ◽  
...  
Keyword(s):  
Rasch Model ◽  
Item Analysis ◽  
Psychometric Evaluation ◽  
Interpersonal Needs ◽  
Interpersonal Needs Questionnaire ◽  
The Rasch Model

scholarly journals An item analysis according to the Rasch model of the German 12-item WHO Disability Assessment Schedule (WHODAS 2.0)

2021 ◽  
Author(s):  
Lusine Vaganian ◽  
Sonja Bussmann ◽  
Maren Boecker ◽  
Michael Kusch ◽  
Hildegard Labouvie ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Rasch Model ◽  
Item Analysis ◽  
Classical Test Theory ◽  
Health Condition ◽  
Test Theory ◽  
World Health ◽  
Good Reliability ◽  
Whodas 2.0 ◽  
The Rasch Model

Abstract Purpose The World Health Organization Disability Assessent Schedule 2.0 (WHODAS 2.0) assesses disability in individuals irrespective of their health condition. Previous studies validated the usefulness of the WHODAS 2.0 using classical test theory. This study is the first investigating the psychometric properties of the 12-items WHODAS 2.0 in patients with cancer using item analysis according to the Rasch model. Methods In total, 350 cancer patients participated in the study. Rasch analysis of the 12-items version of the WHODAS 2.0 was conducted and included testing unidimensionality, local independence, and testing for differential item functioning (DIF) with regard to age, gender, type of cancer, presence of metastases, psycho-oncological support, and duration of disease. Results After accounting for local dependence, which was mainly found across items of the same WHODAS domain, satisfactory overall fit to the Rasch model was established (χ2 = 36.14, p = 0.07) with good reliability (PSI = 0.82) and unidimensionality of the scale. DIF was found for gender (testlet ‘Life activities’) and age (testlet ‘Getting around/Self-care’), but the size of DIF was not substantial. Conclusion Overall, the analysis results according to the Rasch model support the use of the WHODAS 2.0 12-item version as a measure of disability in cancer patients.

scholarly journals Applicability of Item Response Theory to the Korean Nurses' Licensing Examination

2005 ◽  
Vol 2 ◽  
pp. 23 ◽  
Author(s):  
Geum-Hee Jeong ◽  
Mi Kyoung Yim
Keyword(s):  
Rasch Model ◽  
Logistic Model ◽  
Goodness Of Fit ◽  
Item Analysis ◽  
Classical Test Theory ◽  
Test Theory ◽  
Classical Test ◽  
Licensing Examination ◽  
The Rasch Model ◽  
Two Parameter

To test the applicability of item response theory (IRT) to the Korean Nurses' Licensing Examination (KNLE), item analysis was performed after testing the unidimensionality and goodness-of-fit. The results were compared with those based on classical test theory. The results of the 330-item KNLE administered to 12,024 examinees in January 2004 were analyzed. Unidimensionality was tested using DETECT and the goodness-of-fit was tested using WINSTEPS for the Rasch model and Bilog-MG for the two-parameter logistic model. Item analysis and ability estimation were done using WINSTEPS. Using DETECT, Dmax ranged from 0.1 to 0.23 for each subject. The mean square value of the infit and outfit values of all items using WINSTEPS ranged from 0.1 to 1.5, except for one item in pediatric nursing, which scored 1.53. Of the 330 items, 218 (42.7%) were misfit using the two-parameter logistic model of Bilog-MG. The correlation coefficients between the difficulty parameter using the Rasch model and the difficulty index from classical test theory ranged from 0.9039 to 0.9699. The correlation between the ability parameter using the Rasch model and the total score from classical test theory ranged from 0.9776 to 0.9984. Therefore, the results of the KNLE fit unidimensionality and goodness-of-fit for the Rasch model. The KNLE should be a good sample for analysis according to the IRT Rasch model, so further research using IRT is possible.

How Do You Prefer Your Item Analyses: Traditional or Rasch?

1976 ◽  
Vol 20 (1) ◽  
pp. 107-109 ◽  
Author(s):  
J. D. Thomson ◽  
B. Parkin
Keyword(s):  
Rasch Model ◽  
Traditional Approach ◽  
Item Analysis ◽  
Attitude Questionnaire ◽  
Random Responses ◽  
The Rasch Model

Item analyses of a 22-item attitude questionnaire were undertaken using both a traditional approach and the Rasch technique. These analyses, obtained from the responses of a sample of 158 Year 5 children indicated, at first glance, discrepant results. Initial inspection of the traditional item analysis suggested that, due to extremely low discrimination indices, all of the items were unsatisfactory. For the Rasch model, however, all items appeared to refer to a unidimensional trait and formed a very comformable set. Our reconciliation of these seemingly disparate results is based upon three considerations: first, whether the items do or do not measure a single trait; second, whether the interaction of the subjects with the items has resulted in a set of random responses, and third, whether there is an adequate dispersion of subjects along the scale continuum.

scholarly journals Item analysis for the written test of Taiwanese board certification examination in anaesthesiology using the Rasch model

2010 ◽  
Vol 104 (6) ◽  
pp. 717-722 ◽  
Author(s):  
K.-Y. Chang ◽  
M.-Y. Tsou ◽  
K.-H. Chan ◽  
S.-H. Chang ◽  
J.J. Tai ◽  
...  
Keyword(s):  
Rasch Model ◽  
Item Analysis ◽  
Board Certification ◽  
Certification Examination ◽  
Written Test ◽  
The Rasch Model

scholarly journals Psychometric Evaluation of the Positive Mental Health (PMH) Scale Using Item Analysis According to the Rasch Model

2022 ◽  
Author(s):  
Lusine Vaganian ◽  
Maren Boecker ◽  
Sonja Bussmann ◽  
Michael Kusch ◽  
Hildegard Labouvie ◽  
...  
Keyword(s):  
Mental Health ◽  
Rasch Model ◽  
Item Analysis ◽  
Well Being ◽  
Positive Mental Health ◽  
Test Theory ◽  
Present Sample ◽  
Patient Reported ◽  
The Impact ◽  
The Rasch Model

Abstract Background: The investigation of patient-reported outcomes and psycho-oncological interventions mainly focuses on psychological distress or psychopathology. However, the recognition of the equal importance of positive mental health (PMH) has increased lately. The PMH-scale is a brief questionnaire allowing to assess well-being in individuals in the general population and in patients. Previous studies evaluated the psychometric properties of the PMH-scale using classical test theory (CTT). This study is the first to investigate the PMH-scale in patients with cancer using item analysis according to the Rasch model. Methods: In total, N = 357 cancer patients participated in the study. A Rasch analysis of the PMH-scale was conducted including testing of unidimensionality, local independence, homogeneity and differential item functioning (DIF) with regard to age, gender, type of cancer, the presence of metastases, psycho-oncological support, and duration of disease. Additionally, the ordering of the item thresholds as well as the targeting of the scale were investigated.Results: After excluding one misfitting item and accounting for local dependence by forming superitems, a satisfactory overall fit to the Rasch model was established (χ2 = 30.34, p = 0.21). The new PMH-8 scale proved to be unidimensional, and homogeneity of the scale could be inferred. All items showed ordered thresholds, there was no further item misfit. DIF was found for age, but as the impact of DIF was not substantial, no adjustment related to the age-DIF had to be made. The Person Separation Index (PSI = 0.89) was excellent, indicating excellent discriminatory power between different levels of positive mental health. Overall, the targeting of the PMH-8 was good for the majority of the present sample. However, at both ends of the scale item thresholds are missing as indicated by a slight floor effect (1.4%) and a considerable ceiling effect (9.8%). Conclusion: Overall, the results of the analysis according to the Rasch model support the use of the revised PMH-scale in a psycho-oncological context.

scholarly journals Statistical item analysis of the examination in anesthesiology for medical students using the Rasch model

2011 ◽  
Vol 74 (3) ◽  
pp. 125-129 ◽  
Author(s):  
Shun-Chin Yang ◽  
Mei-Yung Tsou ◽  
En-Tzu Chen ◽  
Kwok-Hon Chan ◽  
Kuang-Yi Chang
Keyword(s):  
Medical Students ◽  
Rasch Model ◽  
Item Analysis ◽  
The Rasch Model

scholarly journals Development and Validation of the Career Adaptability Scale for Undergraduates in Korea

2021 ◽  
Vol 13 (19) ◽  
pp. 11004
Author(s):  
Jihyo Kim
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Work Environment ◽  
Rasch Model ◽  
Structural Equation ◽  
Item Analysis ◽  
Measurement Scale ◽  
Career Adaptability ◽  
Confirmatory Factor ◽  
The Rasch Model

This study explores factors of career adaptability and develops a measurement scale for undergraduates in Korea. The scale measuring the undergraduates’ career adaptability consists of nine factors across three areas, as follows: knowledge and recognition for the self and work environment (self-understanding to establish identity, search for work environment, positive career beliefs), self-directed coping related to career behavior (coping with career-choice crisis, career preparation behavior, ability to coordinate career goals), environmental interactions for career decision and adaptation (ability to cope with environmental stress, social responsibility, ability to utilize social resources). First, an item analysis using the Rasch model was conducted, and measurement values of the items were compared. Second, an exploratory factor analysis and confirmatory factor analysis, applying the structural equation model, were performed. Third, Cronbach’s alpha was calculated to establish the reliability of the scale. The Rasch model fit analysis, to measure validity, revealed that 44 items were valid. The aforementioned model, consisting of nine factors across three areas, was shown to be suitable by the confirmatory factor analysis. The results of this study help in the development of career education programs by clarifying factors of career adaptability and providing information about differences based on the factors.

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