The session covers data entry, coding, cleaning, handling missing values and outliers, descriptive statistics, normality testing, reliability analysis using Cronbach’s alpha, basic factor analysis, and hypothesis testing using t-tests, ANOVA, chi-square, correlation, and regression. Participants will also learn to interpret SPSS outputs and report statistical findings effectively in research papers and dissertations.
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