Categorical Data Analysis
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Lab 1 Rubric

Lab activity 3 points 2 points 1 point 0 points
Familiarize yourself with the Well-Being and Basic Needs Survey Clearly answers all three questions with well-supported reasoning Answers all questions but lacks depth in explanation Answers 1-2 questions with minimal explanation Answers are unclear or missing
File organization Correctly sets up folders, .Rproj, uses here(), and shows image of folder. Sets up .Rproj correctly. Displays working directory with here() or shows image of folder, but not both. Does not set up .Rproj correctly: displayed folder does not contain other needed folders. No attempt to set up .Rproj.
Decide on project type Explicitly states choice between LASSO or Purposeful Selection. N/A N/A No choice made or choice is not clear.
Decide on list of variables to focus on Correctly selects 10 predictors with all requirements met Selects 10 predictors but some do not meet criteria Selects fewer than 10 predictors or incorrect types Selects incorrect variables or missing response
Get a sense of how you would like to analyze the data

Purposeful: Well-formed research question (RQ).

LASSO: Clearly lists 5-10 predictors expected to be important.

Purposeful: Research question is clear but could be refined or is missing the specific main explanatory variable.

LASSO: Lists fewer than 5 predictors or lacks reasoning for the selection.

Purposeful: Research question is vague or does not follow the “association between…” format.

LASSO: Predictor list is disorganized or unrelated to the food insecurity outcome.

Purposeful: No research question

LASSO: No list of important predictors provided

Save data for processing with .Rda Creates and saves .Rda file with relative path and screenshot provided. Creates and saves .Rda file with relative path, but no screenshot Creates and saves .Rda file with absolute file path and screenshot provided Creates and saves .Rda file with absolute file path and no screenshot -OR- No file saved
Getting data in working format Correctly removes parentheses from names, drops NAs, and (if Purposeful) selects relevant variables. Processes variables but has minor issues (e.g., forgot to remove parentheses or drop NAs). Attempts processing but with major errors Does not attempt processing
Explore the outcome and predictors Correctly reports food insecurity % and (if Purposeful) identifies all categories with \(n < 100\). Reports some details but incomplete Missing either percentage or variable count details Does not report data insights
For purposeful model selection only: Make a Table 1 Clean gtsummary table included with outcome and 10 predictors. Table is included but missing variables or poorly formatted. Attempted table but code has major errors. No table provided (Purposeful track only).
Compile above work into an introduction Well-structured introduction (3-5 bullets) covering background, importance, and the WBNS survey. Covers key points but lacks clarity, depth, or mention of WBNS. Still meets bullet point requirement. Covers some points but lacks organization -OR- does not meet bullet point requirement Missing key introduction elements