Sample Size for Measuring Proportions
Most NGOs and other agencies, multilaterals, development organizations, etc. are often not interested about measurement of means. They would rather want to see, what proportion of people/population meet a certain criteria or have attained a certain level/status. Hence there is a huge demand and high populatity of proportion indicators and their measurement.
For example:
1. Proportion of children aged 0-59 months who are severely stunted
2. Proportion of women who consumed at least 100 IFA tablets during their last pregnancy
3. Proportion of farmers who pracctice mixed cropping
For measuring such proportions, refer to the formulae below:
For example:
1. Proportion of children aged 0-59 months who are severely stunted
2. Proportion of women who consumed at least 100 IFA tablets during their last pregnancy
3. Proportion of farmers who pracctice mixed cropping
For measuring such proportions, refer to the formulae below:
Single Proportion - Absolute Precision Method
Single Proportion - Relative Precision Method
Single Proportion - Power Method
Single Proportion - Power Calculation
It is one thing to measure a single proportion, and it is another thing to compare two proportions. It is not really a right or recommended way to use the sample size calculation for single proportion and apply it to two groups separately and then compare the results. Hence, for comparing two proportions, refer to the formulae below:
Compare Two Proportions - Power Method
Compare Two Proportions - Precision Method
Compare Two Proportions - Power Calculation
Compare Two Proportions - Detectable Difference
Compare Two Proportions - Calculating Using Relative Risks
