Data Cleaning & Variable Coding:
- Importing raw Excel/Google Forms survey data into SPSS.
- Cleaning missing values, setting up value labels, and defining variable types (nominal, ordinal, scale).
- Creating composite scores, recoding variables into groups, and running norm check tests (e.g., Shapiro-Wilk test for normality).
Descriptive & Inferential Biostatistics:
- Descriptive Statistics: Frequencies, percentages, means, standard deviations, and median/IQR for demographic tables.
- Parametric & Non-Parametric Tests: Independent/paired t-tests, Mann-Whitney U, Wilcoxon signed-rank, One-Way ANOVA, Kruskal-Wallis.
- Categorical Data Analysis: Chi-square test of independence, Fishers exact test, McNemar's test.
- Advanced Correlation & Regression: Pearson/Spearman correlations, simple/multiple linear regression, and binary/multinomial logistic regression (calculating Odds Ratios and 95% Confidence Intervals).
Reliability & Diagnostic Accuracy:
- Cronbachs alpha for questionnaire validation.
- Inter-rater reliability (Cohens Kappa).
Publication-Ready APA/AMA Formatting:
- Formatting raw SPSS pivot tables into clean, publication-ready APA/AMA style tables (formatted in Word or Excel).