Certificate in Survey Design & Statistical Analysis
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• Introduction to Survey Design: Understanding the basics of survey methodology, questionnaire design, and sampling techniques.
• Question Development and Validation: Creating effective survey questions, reducing bias, and ensuring content and construct validity.
• Sampling Methods: Probability and non-probability sampling, stratified sampling, cluster sampling, and sampling errors.
• Data Collection Methods: Online, paper-based, and interviewer-administered surveys, as well as observational and experimental data collection.
• Data Cleaning and Preparation: Identifying and handling missing data, outliers, and inconsistencies, and transforming data for statistical analysis.
• Descriptive Statistics: Measures of central tendency, dispersion, and association, as well as data visualization techniques.
• Inferential Statistics: Hypothesis testing, confidence intervals, and statistical significance.
• Regression Analysis: Simple and multiple linear regression, logistic regression, and model selection techniques.
• Experimental Design: Randomized controlled trials, factorial designs, and analysis of variance (ANOVA).
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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