Detecting Gender Related DIF using Logistic Regression and Mantel-Haenszel Approaches | Zendy

Nabeel Abedalaziz | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Detecting Gender Related DIF using Logistic Regression and Mantel-Haenszel Approaches

Author(s) -

Nabeel Abedalaziz

Publication year - 2010

Publication title -

procedia - social and behavioral sciences

Language(s) - English

Resource type - Journals

ISSN - 1877-0428

DOI - 10.1016/j.sbspro.2010.10.055

Subject(s) - logistic regression , differential item functioning , scale (ratio) , statistics , regression analysis , regression , demography , psychology , mathematics , item response theory , geography , psychometrics , cartography , sociology

The study was conducted to find out the agreement between two approaches (i.e. logistic Regression model, and M-H) in detecting a gender-related differential item functioning of a mathematical ability scale items. The scale was developed and administered to samples of 800 males and females students (380 males and 420 females) in Jordan. The study pointed out: (1) the percentage of agreement between the two approaches in detecting DIF was 80%. (2) Males outperformed females in spatial and deductive abilities, whereas females outperformed males in numerical ability

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research