choosing an analysis method
Choosing an analysis methods depends heavily on the type of data, the number of variables, and the purpose of the analysis.
data types - noir
The first consideration when choosing a quantitative analysis strategy is to first determine the type of data that you will have for each of the variables. For quantitative data you also need to know the level of data that you will have (nominal, ordinal, interval, or ratio). The level of data will determine the menu of available statistical methods. The type of data will influence the potential analysis techniques. See Trochim’s site for a description of the four levels of data.
selecting a statistical test
The statistical test will depend on the level of data collected and the nature of the research question(s) or hypotheses. Most statistics or research methods text contain tables or decision trees to help you select the appropriate test. There are also numerous selection charts online such as the one by James Leeper.
describe the analysis methods
A table is a very handy way to display this information using columns labeled – independent variable, dependent variable, and relationship. The variable descriptions would include the measurement method or scale and the level of the data. The relationship column would identify the analysis of the relationship between the variables. For quantitative analysis the statistical test(s) that will be performed should be identified.
Based on the research questions, the overall approach, and the data collected choose the analysis methods (be specific).
Align the analysis methods with the individual research questions.
Support your discussion with solid peer-reviewed references and research methods texts.