procedures in choosing variables
1. Identify the research question: The first step in choosing variables is to identify the research question. This will help to determine which variables are relevant to the analysis.
2. Identify the data sources: The next step is to identify the data sources that will be used to answer the research question. This includes both primary and secondary data sources.
3. Select the variables: Once the data sources have been identified, the next step is to select the variables that will be used in the analysis. This includes both dependent and independent variables.
4. Assess the quality of the data: The quality of the data should be assessed to ensure that it is accurate and reliable. This includes checking for missing values, outliers, and other potential issues.
5. Test the assumptions: The assumptions of the model should be tested to ensure that they are valid. This includes testing for linearity, homoscedasticity, and other assumptions.
6. Evaluate the results: The results of the analysis should be evaluated to ensure that they are meaningful and accurate. This includes assessing the goodness-of-fit and other measures of accuracy.