• ### Power and Sample Size Determination

Powerpoint explaining what power is and how power and sample size are related to one another.
• ### Sample size calculation

A resource providing information about what the sample size is, what factors the sample size depends on, and how it can be determined,
• ### Sample Sizes Required

Resource providing information about: computation of the sample size and the assumptions that must be made to do so. Several examples are given with different conditions in each, and a table showing minimum sample sizes for a two-sided test.
• ### Statistical Significance and Sample Size

Article that explains why comparing statistical significance, sample size and expected effects are important before constructing and experiment.
• ### Sample Size Calculator

This is an online calculator that can be used to determine the recommended sample size that is needed for a specific margin of error, confidence level, and population size.

• ### Sample Size Calculator

An online calculator designed to give an estimated sample size that would be needed under specific conditions. This is used only for simple random samples.
• ### Power Analysis, Statistical Significance, & Effect Size

If you plan to use inferential statistics (e.g., t-tests, ANOVA, etc.) to analyze your evaluation results, you should first conduct a power analysis to determine what size sample you will need. This page describes what power is as well as what you will need to calculate it.
• ### Sample Size Calculator

Calculate the number of respondents needed in a survey using our free sample size calculator. Our calculator shows you the amount of respondents you need to get statistically significant results for a specific population. Discover how many people you need to send a survey invitation to obtain your required sample. You can also calculate the margin of error based on your sample size.

• ### Determining the Right Sample Size for Your Test: Theory and Application

Determining the right sample size in a reliability test is very important. If the sample size is too small, not much information can be obtained from the test in order to draw meaningful conclusions; on the other hand, if it is too large, the information obtained through the tests will be beyond that needed, thus time and money are wasted. This tutorial explains several commonly used approaches for sample size determination.
• ### Sample Size Determnation

Presentation that covers: the significance of sample size, determination of sample size, factors that may affect sample size, and how to use sample size in a research or study.