Order Description
Provide an explanation about the importance of weighting in secondary data. Then, provide two examples of how you might use weighting and explain why.

Order Description
Categorical variables can be defined as nominal, dichotomous, or ordinal, whereas the continuous variables are defined as interval or ratio. Each level of measurement (i.e., nominal, ordinal, interval, or ratio) has its own properties, strengths, and limitations for grouping. Describe a comparison of two different levels of measurement. Then, explain how each level of measurement relates to secondary data analysis decisions. Provide one example of when each level would be appropriate.

Order Description
Categorical variables can be defined as nominal, dichotomous, or ordinal, whereas the continuous variables are defined as interval or ratio. Each level of measurement (i.e., nominal, ordinal, interval, or ratio) has its own properties, strengths, and limitations for grouping. Describe a comparison of two different levels of measurement. Then, explain how each level of measurement relates to secondary data analysis decisions. Provide one example of when each level would be appropriate.