Reason for Using Frequency and Percentage to Analyse Categorical Data

Abstract

This file contains a complete academic article titled "Reason for Using Frequency and Percentage to Analyse Categorical Data. Following the required academic structure, the file includes an Abstract, Keywords, Introduction, Main Discussion, Conclusion, Recommendations, and References. It provides a rigorous methodological defense for using descriptive statistics, specifically frequency counts and percentages when analyzing nominal and ordinal survey data across all academic degree levels, explaining why standard arithmetic operations like means are mathematically inappropriate for categorical variables.Additionally, the article establishes a theoretical justification for utilizing a 50% threshold benchmark to determine majority consensus across both Likert and non-Likert instruments, complete with proper APA in-text citations and reference list entries for Aliyu (2023), Kaur et al. (2018), and Reierson Draugalis & Plaza (2009).