The Most Important Statistical Methods Used With The Likert Cumulative Scale in the Human and Social Sciences

Abstract

The Likert cumulative scale is a cornerstone of quantitative research in human and social sciences, enabling the measurement of attitudes, perceptions, and behaviors through structured response formats. This abstract outlines the most important statistical methods employed to analyze Likert-type data: Descriptive Statistics: Frequencies, percentages, means, and standard deviations are used to summarize response distributions and central tendencies. Reliability Analysis: Cronbach’s alpha is the standard tool for assessing internal consistency across Likert items, ensuring scale reliability. These methods collectively enhance the rigor and interpretability of Likert-based research, supporting robust conclusions in fields such as psychology, education, sociology, and political science.