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Techniques of Data Analysis
You have now reached the point in your Final Project where you can begin to think about the methods you will employ to examine your data. A useful approach is often to visualize how your data might look in matrix form. Your choice of analysis techniques will depend on the type of data you have collected, as well as your evaluation design: whether you are using an experimental, a quasi experimental, or nonexperimental design. Evaluators also use tools such as significance tests to support or reject claims based on the sample data. Further, multivariate analysis techniques, like regression, are often utilized to take into account more than one statistical outcome variable at a time.
To prepare for this Assignment, consider techniques of data analysis you have encountered in your course work and professional experience.Submit by Day 7 a 1- to 2-page paper that addresses the following:
• Explain whether you will be using significance tests or multivariate techniques such as regression in your Final Project. Explain your reasoning.
• Explain the considerations you have made relative to techniques of analysis.
An important aspect of completing a research project is effectively presenting the issue to any stakeholders involved or anyone with an interest in the chosen issue.
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