20 May G*Power Analysis (quantitative)
Determining a minimum threshold population for your quantitative study is critical for achieving a quality study. Conversely, qualitative studies focus less on a minimum population; instead, they have a greater focus on the concept of data saturation and knowing when to cease data collection. Understanding these procedures is paramount in completing both your IRB application and effectively writing the sampling procedures portion of chapter three. In this discussion board, you will have the opportunity to conduct either a G*Power Analysis (quantitative) or explore data saturation (qualitative).
Directions: Select the prompt below based on your dissertation’s chosen methodology.
Quantitative:
Using the G*Power analysis tool, calculate the minimum sample size needed for your study.
Review the G*Power section in the Doctoral Research site.
Then, write a “mock” write-up for the power analysis using your expected population. Feel free to use the example below as a guide.
You will post your “mock” write-up to the discussion board and reply to one of your classmates providing feedback on their post. (G*Power User Manual).
Example:
The initial target population for the study was 420. The final sample size for the study was 520, which exceeded the minimum sample size of 55, it was determined by a G*Power analysis, a priori to establish a rigorous sample size (power = .80; effect = .15; α = .05).
Qualitative:
Review the article Are We There Yet? Data Saturation in Qualitative Research.
Then, write a proposal for determining saturation of data in your study.
post your proposal for data saturation procedures to the discussion board.
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