Likert Scale: Explored and Explained
By Ankur Joshi, Saket Kale, Satish Chandel, D. Pal. 2015
3,315 citations recorded by the source corpus.
Likert scale is applied as one of the most fundamental and frequently used psychometric tools in educational and social sciences research. Simultaneously, it is also subjected to a lot of debates and controversies in regards with the analysis and inclusion of points on the scale. With this context, through reviewing the available literature and then clubbing the received information with coherent scientific thinking, this paper attempts to gradually build a construct around Likert scale. This analytical review begins with the necessity of psychometric tools like Likert scale andits variants and focuses on some convoluted issues like validity, reliability and analysis of the scale.
Subfields: Computer Networks and Communications, Developmental and Educational Psychology, Education
View Paper: https://www.semanticscholar.org/paper/0c51c9713d00c9cef0c91d14f7cfb3f5650ce9e9
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In Education
Citations in the corpus
- Using Likert Type Data in Social Science Research: Confusion, Issues and Challenges (2016, neutral): “Likert scales and data analyses. Quality Progress, 40(7), 64-65. Ary, D., Jacobs, L. C., & Sorensen, C. (2010). Introduction to research in education (8th ed.”
- The use of rating and Likert scales in Natural Language Generation human evaluation tasks: A review and some recommendations (2019, methodology): “Our paper follows the path started by Robertson (2012), which highights deviations from statistical good practice in the area of Human Computer Interaction (HCI) and computer science education.”
- CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation (2025, unknown): “The following sections will first introduce the baselines, evaluation metrics, and implementation details relevant to both stages, followed by a comprehensive analysis of the experimental results.”