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4 cards from this section. Quick, good the night before a test.
What is household size correction?
Think about how sample size affects overall data integrity.
Why is socio-demographic correction necessary?
Consider the importance of demographics in understanding travel patterns.
What is the first step in correcting household size in your survey data?
What reliable source do we use for average sizes?
True or False: Non-reported trips should not be corrected because they are not mandatory.
Consider what types of trips people usually forget to mention.
Given a sample where the average household size reported is 5, but census data shows an average of 3, explain how you would adjust the data and calculate the new size for each household surveyed.
Focus on the correction ratio based on average size differences.
If data analysis indicated that 30% of households reported fewer trips than previous census data indicated, what method would you employ to correct for this underreporting?
Look at previous data trends and how they relate to your survey sample.
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