Minimizing the Number of Clauses in Surveys while Maintaining the Least Impact on the Measurement Results

Abstract

To create quantitative survey questions for quantitative research, there are questions of how many survey questions are required to be sufficient to answer the research questions while covering problem contexts and can lead to breakthrough solutions. This issue becomes the main objective research undertakings. However, excessive number of questions can bring about negative moods, confusion and fatigue among survey participants, leading to indiscriminate responses and discrepancies that affect data analysis. The purposes of this article are 1) to display the results of the query sentiment analysis when the number of questions has been reduced, and 2) to suggest the way to make opt-out decision using a classification power value. The attempt emerges from statistical analysis of researchers whose recommendations are provided to address the issues and to retain the efficiency of the measurement.