A Simulation Study to Assess the Effect of the Number of Response Categories on the Power of Ordinal Logistic Regression for Differential Item Functioning Analysis in Rating Scales
المؤلفون المشاركون
Allahyari, Elahe
Jafari, Peyman
Bagheri, Zahra
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-06-15
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Objective.
The present study uses simulated data to find what the optimal number of response categories is to achieve adequate power in ordinal logistic regression (OLR) model for differential item functioning (DIF) analysis in psychometric research.
Methods.
A hypothetical ten-item quality of life scale with three, four, and five response categories was simulated.
The power and type I error rates of OLR model for detecting uniform DIF were investigated under different combinations of ability distribution ( θ ), sample size, sample size ratio, and the magnitude of uniform DIF across reference and focal groups.
Results.
When θ was distributed identically in the reference and focal groups, increasing the number of response categories from 3 to 5 resulted in an increase of approximately 8% in power of OLR model for detecting uniform DIF.
The power of OLR was less than 0.36 when ability distribution in the reference and focal groups was highly skewed to the left and right, respectively.
Conclusions.
The clearest conclusion from this research is that the minimum number of response categories for DIF analysis using OLR is five.
However, the impact of the number of response categories in detecting DIF was lower than might be expected.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Allahyari, Elahe& Jafari, Peyman& Bagheri, Zahra. 2016. A Simulation Study to Assess the Effect of the Number of Response Categories on the Power of Ordinal Logistic Regression for Differential Item Functioning Analysis in Rating Scales. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1100144
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Allahyari, Elahe…[et al.]. A Simulation Study to Assess the Effect of the Number of Response Categories on the Power of Ordinal Logistic Regression for Differential Item Functioning Analysis in Rating Scales. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1100144
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Allahyari, Elahe& Jafari, Peyman& Bagheri, Zahra. A Simulation Study to Assess the Effect of the Number of Response Categories on the Power of Ordinal Logistic Regression for Differential Item Functioning Analysis in Rating Scales. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1100144
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1100144
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر