Workshop Content
SPSS basics: data entry, variable view, labels, values, missing data, and file preparation.
Descriptive analysis: frequencies, means, standard deviations, charts, and tables.
Reliability and validity: Cronbach's alpha, item analysis, and interpretation basics.
Inferential tests: correlation, regression, t-test, ANOVA, and reporting results in research format.
Research output: interpreting SPSS output and converting results into publication-ready tables.
Who Should Attend?
Postgraduate students, researchers, authors, reviewers, lecturers, and professionals who want practical quantitative data analysis skills using SPSS.
Learning Outcomes
Participants will be able to clean datasets, choose suitable SPSS tests, interpret output, and report statistical results clearly in academic manuscripts.