Application of Logistic Regression Model in Physics Education

Authors

  • Shobha Kanta Lamichhane Tribhuvan University, Prithwi Narayan Campus, Pokhara

DOI:

https://doi.org/10.3126/hj.v1i0.5163

Keywords:

Logistic regression, Multiple choice test items, Classical test theory, Item response theory, Probability, Evaluation

Abstract

This paper introduces a logistic regression model used to analyze multiple-choice test data of physics test. It does not involve decision making. It is a predictive model and is more akin to nonlinearity, such as fitting a polynomial to a set of data values. Brief description of the goals and algorithms of such a model is provided, together with examples illustrating their applications in physics. Priority haven been given for data interpretation rather than mathematical complexities.

Key words: Logistic regression; Multiple choice test items; Classical test theory; Item response theory; Probability; Evaluation

The Himalayan Physics

Vol.1, No.1, May, 2010

Page: 4-9

Uploaded Date: 28 July, 2011

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Published

2011-07-27

How to Cite

Lamichhane, S. K. (2011). Application of Logistic Regression Model in Physics Education. Himalayan Physics, 1, 4–9. https://doi.org/10.3126/hj.v1i0.5163

Issue

Vol. 1 (2010)

Section

Articles

License

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