Data Analysis in Social Research Using Stata
Training Provider: NATIONAL UNIVERSITY OF SINGAPORE
Course Reference: TGS-2023020045
S$570
Original: S$1,900
Save S$1,330
About This Course
At the end of the course, participants will be able to understand how to test ideas of social scientific research questions with appropriate statistical methods, know how to use a very popular software (i.e., Stata) to conduct statistical analyses and interpret the results, and apply statistical models to explain social phenomena, inform public policies and address real-world problems.
What You'll Learn
Statistics is a useful tool in jobs, research and our daily lives. This two-day course aims to provide an intuitive and non-mathematical introduction to core statistical concepts and give practical guidance about how to analyze data and interpret statistical results. In this course, you will not only gain a better understanding of the logic behind statistics, but also will learn how to interpret statistical outputs in academic journals or government reports, and apply statistical methods to address real-world problems.
Course outline
- Introduction to Statistics
- Exploring and Describing Data
- Population, Samples and Sampling
- Statistical Inference: Estimation
- Statistical Inference: Significance Tests
- T-test and Analysis of variance (ANOVA): Comparison of Means across Groups
- Chi-squared test: Comparison of Proportions across Groups
- Correlation
- Simple Linear Regression
- Multiple Linear Regression
- Interaction Effects in Multiple Linear Regression
- Reading and Understanding Advanced Multiple Linear Regression in Academic Papers
Course outline
- Introduction to Statistics
- Exploring and Describing Data
- Population, Samples and Sampling
- Statistical Inference: Estimation
- Statistical Inference: Significance Tests
- T-test and Analysis of variance (ANOVA): Comparison of Means across Groups
- Chi-squared test: Comparison of Proportions across Groups
- Correlation
- Simple Linear Regression
- Multiple Linear Regression
- Interaction Effects in Multiple Linear Regression
- Reading and Understanding Advanced Multiple Linear Regression in Academic Papers
Entry Requirements
At least a Diploma in any discipline, with preference given to social science and community and at least 1 year of working experience in the related sector.
Course Details
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.
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