Fundamental Statistical Terminology for Library and Information Science Researchers: Key Concepts to Know

Abstract

This paper explores the crucial role of fundamental statistical terminology in guiding research within Library and Information Science (LIS). From the initial planning stages to the final analysis, statistical tools provide researchers with a systematic and quantitative framework for data analysis, enabling them to draw reliable conclusions and make informed decisions. The paper delves into essential statistical concepts, including hypotheses, variables, population, samples, sampling techniques, levels of measurement, statistical significance, validity, reliability, and data analysis. Through a detailed examination of each concept, the essay aims to equip LIS researchers with a foundational understanding of statistical terminology necessary for proficient data interpretation and manipulation. The discussion emphasizes the importance of statistical literacy in enhancing the rigour, objectivity, and credibility of research endeavours within the dynamic landscape of library and information science. Mastering these vital statistical concepts empowers researchers to contribute meaningfully to advancing knowledge in the field, fostering evidence-based decision-making and robust scientific inquiry.