Editing Statistics and Statistical Programming (Winter 2021)/Problem set 16
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=== PC2: Analyze and interpret a simulated study of education and income === | === PC2: Analyze and interpret a simulated study of education and income === | ||
The second part of this problem set poses an open-ended set of questions about a simulated dataset from an observational study of high school graduates' academic achievement and subsequent income. You can '''[https://communitydata.science/~mako/2021-COM520/grads.rds download the data here]'''. | The second part of this problem set poses an open-ended set of questions about a simulated dataset from an observational study of high school graduates' academic achievement and subsequent income. You can '''[https://communitydata.science/~mako/2021-COM520/grads.rds download the data here]'''. I have provided some information about the "study design" below ('''reminder/note: this is not data from an actual study'''): | ||
I have provided some information about the "study design" below ('''reminder/note: this is not data from an actual study'''): | |||
:: You have been hired as a statistical consultant on a project studying the role of income in shaping academic achievement. Data from twelve cohorts of public high school students was collected from across the Chicago suburbs. Each cohort incorporates a random sample of 142 students from a single suburban school district. For each student, researchers gathered a standardized measure of the students' aggregate GPA as a proxy for their academic achievement. The researchers then matched the students' names against IRS records five years later and collected each student's reported pre-tax earnings for that year. | :: You have been hired as a statistical consultant on a project studying the role of income in shaping academic achievement. Data from twelve cohorts of public high school students was collected from across the Chicago suburbs. Each cohort incorporates a random sample of 142 students from a single suburban school district. For each student, researchers gathered a standardized measure of the students' aggregate GPA as a proxy for their academic achievement. The researchers then matched the students' names against IRS records five years later and collected each student's reported pre-tax earnings for that year. |