Requirements

Get data and installing the required softwares

Data Management and Descriptive Analysis

Learn how to build database, coding, descriptive, reliability, consistency analysis, type of variables, chi-square (test of independency), normality analysis, graphs.

Normality, Reliability and test of hypothesis 

test of hypothesis, t test, paired test, ANOVA, ANCOVA, parametric, non-parametric, ​repeated measures ANOVA.

Correlation, modeling and factor analysis

correlation analysis, modeling (regression, logistic regression, GLM). 

Reporting Results

Reporting results (academic and non academic interpretations)

Test your knowledge

All goals test are attached here, you should receive more than 70% to pass this course

Sample Size Estimates

This study aimed to explain the basic concepts of sample size calculation and power analysis; the process of sample estimation

Try RStudio

You can use this platform for data analysis using RStudio

Survey Analysis

Data can do beautiful things, but turning your survey results into clear, compelling analysis isn’t always a straightforward task. We’ve collected our tips for survey analysis along with a beginner’s guide to survey data and analysis tools.