By the end of this unit you will be able to:

• understand the potential for combining macro and micro data to solve specific research questions.
• test for variation between macro units within an micro-level dataset
• link a macro level data set to a micro level data set using statistical software
• understand the different roles of certain weighting schemes for linked micro-macro data
• produce a weight for linked micro and macro data set, so that each macro unit contributes equally to the analysis
• produce a weight for a linked micro and macro data set, so that the analysis reflects the population as a whole
• understand that there are a variety of reasons why the frequency distribution of an individual-level survey data may not match macro-level data for the same macro unit
• adjust a weight variable to account for differences between the distribution of a key variable in the survey from the known population distribution
• adjust a weight variable to account for differences, within each macro unit, between the distribution of a key variable in the survey from the known population distribution
• test a hypothesis that outcomes on a particular micro-level variable depend on both micro and macro variables
• test a hypothesis that the effect of one micro-level variable on another depends on the value of a macro-level variable