Statistical Power Analysis Help
Statistical power analysis is a method that establishes whether your planned sample size is large enough for statistical relevancy. Consequently, A properly-conducted power analysis can spell the difference between a highly-successful study and complete failure.
The most frequently asked question by statistical consulting clients is, “What sample size do I need?”
The answer to this question is influenced by a number of factors which include:
- The purpose of your study,
- Population size,
- The risk of selecting a “bad” sample,
- The allowable sampling error.
In order to best estimate the sample size that you’d require, you need to conduct a power analysis for your study.
Two kinds of power analysis exist: firstly, a priori, which helps you determine the minimum number of participants needed to justify your study, and secondly, post hoc, which tells you what statistical power is associated with given sample size.
We provide the following services to help you in statistical power analysis:
- Fully ensuring the statistical relevancy of your study: –
We ensure your sample is statistically relevant by referring to your pilot study or to the parameters of the relevant literature in your field.
- Helping conduct a priori or post hoc power analysis –
We help you conduct all aspects of your power analysis, whether your analysis is a priori or post hoc
- Determining a suitable statistical test before doing your power analysis.
We appropriately determine a suitable test along with other important factors such as appropriate effect size.
- Helping to conduct pilot studies –
We help you conduct an efficient yet fully-adequate pilot study for your research.
- Conducting power analyses for highly-complex studies –
We carry out power analyses for highly-complex psychometric studies using structural equation modeling.
Why should you consider us in doing statistical power analysis?
Here at Academic Research Experts, we have three considerations when doing statistical power analysis:
- The general approach to determining sample size; assumes that a simple random sample is the sampling design.
- The sample size should be appropriate for the statistical analysis that is planned.
- Finally, the sample size formulas provide the number of responses that need to be obtained.