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In some data sets, you have choices about which variable to use, or which form of a variable to use. Sometimes a relationship is clear using one variable, but not the other, so you need to explore a bit. Likewise,Jordan V.2 Grown Patent Leather, sometimes you get the exact same result in both, but one analysis is much harder to implement.
1. What is your research question?
This informs everything. You need to know if you’re interested in a relationship, how one variable mediates another relationship,Air Jordan Shoes 2010, which variables were responded to similarly, and so on. What is it you need to know about your data?
Clearly define the scale of each variable. Categorical? Ordered Categories? Count? Continuous? Then do some descriptive and bivariate analyses to understand their distributions.
The answer to this question informs which specific method to use within the family
One of the most common situations in which researchers get stuck with statistics is choosing which statistical methodology is appropriate to analyze their data. If you start by asking the following four questions, you will be able to narrow things down considerably.
Even if you don’t know the implications of your answers, answering these questions will clarify issues for you. It will help you decide what information to seek. And it will make any conversations you have with statistical advisors more efficient and useful.
The answer to this question will tell you the family of statistics that you need to use. Regression,Nike Air Jordans, Factor Analysis, Cluster Analysis, etc.
2. What variables will you use to test the question? On what scales are they measured?