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Sample Size Calculation
للتسجيل برجاء الضغط هنــــا
برنامج الدورة:
Day (1):
Introduction to sample size determination:
- Importance of deciding sample size in research.
- Strategy in sample selection.
- Common errors in conducting research.
- Required parameters for deciding sample size in research studies.
Understanding statistical inference:
- Introduction:
o Computation of confidence interval of mean and factors that affect it.
- Hypothesis testing:
o Terms and Procedure in hypothesis testing.
- Effect size:
o Definition and Use.
Concepts in estimating Sample Size in Survey Studies:
- Sample Size in Estimating Population Mean.
o When Population SD Is Known.
o When Population SD Is Unknown.
- Sample Size in Estimating Population Proportion.
- Sample Size in Estimating Difference Between Two Population Means.
Day (2):
Estimating Sample Size in Hypothesis Testing Experiments:
- Introduction:
o Importance of Sample Size in Experimental Studies.
o Sample Size Based on Power.
- One-Sample Testing of Mean:
o Determining Sample Size.
o Estimation of Sample Size in One-Sample Test.
o Estimation of Minimum Detectable Difference.
o Estimation of Power in One-Sample t-Test.
- Testing Difference Between Two Means:
o Determining Sample Size in Two-Sample t-Test.
o Estimation of Power in Two-Sample t-Test.
Determining Sample Size in Experimental Studies (using G*Power software)
- The steps for determining sample size and power in different applications.
- The procedure in computing sample size for a given power and effect size.
- The achieved power in hypothesis testing experiments if sample size is fixed.
- Sample size or power in different types of t-tests for means and proportions.
- Effect size in different hypothesis testing experiments.
- Sample size in correlation studies for a given effect.
- Estimating sample size and power in nonparametric tests.
Day (3):
Determining Sample Size in General Linear Models (using G*Power software)
- The steps for determining sample size and power in:
o Multiple regression analysis.
o Logistic regression.
o Independent and repeated measures ANOVA and MANOVA.
- The procedure in computing sample size either by estimating the effect size
or by using Cohen’s guidelines for effect size.
- The achieved power in:
o Multiple regression analysis.
o Logistic regression.
o Independent and repeated measures ANOVA and MANOVA.