esearch Methodology & Data Analysis, Statistics and SPSS, Applied Research Techniques

FOUNDATIONS OF DATA ANALYSIS IN RESEARCH

AUTHOR:
Dr. Soumen Saha & Dr. Sudipta Adhikary
DATE ISSUED:
May 2026
SUBJECT:
Data Analysis in Research; SPSS Data Analysis; Statistical Analysis using SPSS; Qualitative Data Analysis; Foundations of Data Analysis
JEL CODE:
EDU037000, EDU037000, SOC024000
LANGUAGE:
English
ISBN:
978-81-686439-0-1
550680

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FOUNDATIONS OF DATA ANALYSIS IN RESEARCH is a comprehensive and practice-oriented academic resource designed to guide students, researchers, educators, and scholars through the essential foundations and advanced applications of data analysis in research. The book presents a balanced integration of theoretical understanding, philosophical perspectives, statistical reasoning, and practical implementation using SPSS. Beginning with the conceptual foundations of data analysis, the text explores qualitative and quantitative approaches, research philosophies, ethical considerations, and the evolving role of researchers in the digital age. It further introduces readers to the importance of measurement, coding, classification, reliability, validity, and hypothesis testing, providing a systematic understanding of research methodology within the social sciences and interdisciplinary research domains. A distinctive strength of this book lies in its detailed explanation of statistical analysis using SPSS, supported by step-by-step procedures, practical examples, interpretation techniques, and real-world applications. The text covers descriptive and inferential statistics, parametric and non-parametric tests, correlation, regression, ANOVA, factor analysis, reliability testing, normality assessment, and sampling methods in a reader-friendly manner. Each chapter is structured to bridge the gap between theoretical concepts and practical data interpretation, enabling readers to develop analytical competence and confidence in conducting empirical research. The inclusion of contemporary themes such as artificial intelligence in data analysis, data ethics, interdisciplinary approaches, and visualization techniques further enhances the relevance of the book for modern research environments. Written in a clear and academically rigorous style, this book serves as an invaluable reference for undergraduate students, postgraduate scholars, doctoral researchers, faculty members, and professionals involved in academic and applied research. It is particularly useful for learners seeking hands-on understanding of SPSS-based data analysis and interpretation in thesis writing, dissertations, journal publications, and institutional research projects. By combining conceptual clarity with practical statistical applications, FOUNDATIONS OF DATA ANALYSIS IN RESEARCH provides a strong platform for developing research excellence and analytical decision-making skills in contemporary academic and professional settings.

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