Can These Statistics Really Be Compared?

Q1. Scenario: Two national income figures use the same label, but one reports income per household and the other reports income per person. What is the most defensible conclusion?
- Subtract the figures because both are national income statistics
- Treat the larger figure as the more accurate measure
- Do not interpret the numerical difference substantively until the income units are aligned or explicitly harmonized
- Use the framework to select the correct income unit
Answer: Do not interpret the numerical difference substantively until the income units are aligned or explicitly harmonized[[cite:1]][[cite:2]]
Q2. Scenario: Two countries report disease statistics, but their disease categories may be classified differently. What should an analyst do before interpreting the difference between their figures?
- Assume identical disease labels have identical meanings
- Compare the numbers first and harmonize the categories afterward
- Verify or explicitly harmonize the disease classifications before treating the numerical difference as substantive
- Use metadata to establish a disease-classification system that the framework defines
Answer: Verify or explicitly harmonize the disease classifications before treating the numerical difference as substantive[[cite:3]][[cite:4]]
Q3. Scenario: Two catalogue entries describe statistics with similar titles. Which workflow best follows the concepts framework?
- Compare the displayed values without checking the catalogue entries
- Compare metadata, descriptions, owners, linked data sources, scope, and coverage before interpreting the figures
- Assume the entries describe identical content because their labels are similar
- Treat the catalogue description as the actual data source
Answer: Compare metadata, descriptions, owners, linked data sources, scope, and coverage before interpreting the figures[[cite:5]][[cite:6]][[cite:7]][[cite:8]]
Q4. Scenario: An analyst wants to compare a national statistic with a stable population list or index figure. Which use of a reference dataset is supported by the framework?
- Use it as a stable, authoritative anchor when interpreting or aligning the statistical datasets
- Use it to define any missing income unit or disease classification
- Assume it makes all datasets comparable regardless of scope or metadata
- Replace the underlying data sources with the reference dataset
Answer: Use it as a stable, authoritative anchor when interpreting or aligning the statistical datasets[[cite:9]][[cite:10]][[cite:11]]

index figures from Statistics Netherlands

Can These Statistics Really Be Compared?

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