Applied Statistical Data Analysis using IBM SPSS: A Simplified Practical Handbook for Faculty Members, Research Scholars, and Students

Make Statistical Data Analysis Simple, Practical and Research-Ready: Applied Statistical Data Analysis Using IBM SPSS is a practical, step-by-step handbook designed for faculty members, research scholars and postgraduate students who want to understand statistical analysis without getting lost in complex statistical terminology. Beginning with the fundamentals of research, data preparation and IBM SPSS, the book guides readers through data coding, entry, cleaning, descriptive statistics, reliability and normality testing. It then introduces key inferential techniques, including t-tests, ANOVA, Chi-square, correlation, linear regression and essential non-parametric alternatives such as Mann–Whitney U, Wilcoxon Signed-Rank, Kruskal–Wallis, Friedman and Spearman correlation. Each topic is presented in simple language with clear SPSS menu paths, practical examples, sample outputs, interpretation guidelines and reporting formats. Decision flows and visual guides help readers select the appropriate statistical test for their research questions. Whether you are preparing a dissertation, thesis, research paper or academic project, this handbook provides a clear and accessible pathway from raw data to meaningful research findings.