1 / 3
Examine a claim of change
Examine changes over time through attrition, measurement and causality.
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Longitudinal study
2 min · Track change through repeated measurements.Missing data
2 min · Distinguish absent values from meaningful answers.Selection bias
2 min · Who enters a study can systematically distort its result.Operational definition
2 min · Specify how an abstract idea will be measured.Correlation
3 min · Changing together does not mean causing each other.Confounder
3 min · A common cause that can distort an association.Effect size
3 min · Express how large a difference or relationship is.Think through a case
A university follows 200 students before a new shuttle route. Only 120 participate in the final measurement. Satisfaction rises, but teaching schedules also change during the same period.
Answer three questions about the scenario below.
2 / 3
Higher satisfaction after the shuttle opens proves the shuttle alone caused it.
3 / 3
Check whether question wording and response scales stayed consistent across measurements.
Quiz summary
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Put this learning path into practice.
Choose a guide connected to the concepts in this path. These optional activities do not count towards your reading progress.
Merge duplicate references
Organize repeated records of the same publication.
Connected concepts in this path: Missing data
Follow a citation trail
Find further research from a relevant publication.
Connected concepts in this path: Selection bias
Pretest branching
Catch incorrect routing in conditional questions.
Connected concepts in this path: Missing data
Count categories with a PivotTable
Find how many records fall in each category.
Connected concepts in this path: Missing data
Inspect blanks with a filter
Examine missing values before deleting anything.
Connected concepts in this path: Missing data
Read a frequency table
Check category distributions and missing responses.
Connected concepts in this path: Missing data
Count categories including missing values
See category counts and NA values together.
Connected concepts in this path: Missing data
Take a first look at your CSV
Inspect columns and missing-value counts with Python and pandas.
Connected concepts in this path: Missing data
Compare two group means
Work with the mini survey and compare your output with the expected result.
Connected concepts in this path: Confounder
Compare two group means
Work with the mini survey and compare your output with the expected result.
Connected concepts in this path: Confounder