The article explores the Likert scale, a widely used psychometric tool in educational and social sciences. It discusses the debate around the number of points on the scale (5-point vs. 7-point) and the analysis of Likert scale data. The authors review existing literature and provide a comprehensive analysis of the scale's validity, reliability, and interpretation. They highlight the importance of psychometric techniques in quantifying qualitative attributes such as attitudes, perceptions, and opinions. The article also addresses the distinction between Likert scales and Likert-type scales, emphasizing the need for clear research objectives in determining the appropriate scale type. The discussion includes the debate over whether Likert scales should be treated as ordinal or interval scales, based on the nature of the research construct. The authors argue that the analysis of Likert scale data depends on the research objectives and the type of scale used. They conclude that if the goal is to generate a composite score, the scale should be treated as interval, while if the goal is to analyze individual items, it should be treated as ordinal. The article also discusses the implications of scale point numbers on response accuracy and validity, emphasizing the importance of considering the respondent's understanding and the context of the research. The authors recommend that the number of scale points should be chosen based on the research context and the nature of the construct being measured. The article concludes with a call for careful consideration of the research objectives and the appropriate statistical treatment of Likert scale data.The article explores the Likert scale, a widely used psychometric tool in educational and social sciences. It discusses the debate around the number of points on the scale (5-point vs. 7-point) and the analysis of Likert scale data. The authors review existing literature and provide a comprehensive analysis of the scale's validity, reliability, and interpretation. They highlight the importance of psychometric techniques in quantifying qualitative attributes such as attitudes, perceptions, and opinions. The article also addresses the distinction between Likert scales and Likert-type scales, emphasizing the need for clear research objectives in determining the appropriate scale type. The discussion includes the debate over whether Likert scales should be treated as ordinal or interval scales, based on the nature of the research construct. The authors argue that the analysis of Likert scale data depends on the research objectives and the type of scale used. They conclude that if the goal is to generate a composite score, the scale should be treated as interval, while if the goal is to analyze individual items, it should be treated as ordinal. The article also discusses the implications of scale point numbers on response accuracy and validity, emphasizing the importance of considering the respondent's understanding and the context of the research. The authors recommend that the number of scale points should be chosen based on the research context and the nature of the construct being measured. The article concludes with a call for careful consideration of the research objectives and the appropriate statistical treatment of Likert scale data.