Authors:
G. Kumar,E. J. LalithKumar,A.Vincent Raja,DOI NO:
https://doi.org/10.26782/jmcms.2026.05.00001Keywords:
Logistic regression,binary outcomes,seminar evaluation,likelihood ratio test.,Abstract
This study explores the application of logistic regression in analyzing binary outcomes within a randomized block design framework. Specifically, it focuses on a binary variable representing seminar evaluations, which can cause two outcomes: “useful” (success) or “not useful” (failure). Logistic regression, as developed by Cox (1972), is utilized to model the probability of a successful outcome based on various predictor variables associated with different treatment groups. This study's main goal is to evaluate the variables that affect seminar success in a variety of research scholar groups. Data for this study were collected during the 2023-24 academic year, where expert evaluations were gathered to understand their perceptions of the seminar's value. The logistic regression model's relevance is assessed using the likelihood ratio test as the decision rule in the study. The findings show significant differences in the evaluations of research scholars, revealing key insights into the factors that affect perceived seminar effectiveness. These results underscore the utility of logistic regression as a valuable analytical tool in educational assessments and provide implications for enhancing future seminar designs.Refference:
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