Data-Driven Learning Guide

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Exploring the Second Shift: A Data-Driven Learning Guide

Interpretation & Summary

Think about your answers to the application questions before you click through to the interpretation guide for help in answering them.

Attitudes about Work and Family

What are respondents' attitudes about who should be the main provider? Do both genders hold the same views? What percentage thinks that both spouses should contribute equally?

What percentage of respondents thinks that husbands should share equally in the housework? Are there significant differences between the genders?

Household Division of Labor

On average, how many hours do wives spend on housework, home maintenance and child care each week? How many hours do husbands spend on these chores? Where are gender differences the greatest? Where are they the smallest?

According to husbands, how many hours on average do their wives spend doing housework, home maintenance, and childcare? According to wives, how many hours on average do their husbands spend on these chores? Are the results consistent with the findings from the first set of analyses? Where are the discrepancies the greatest?

Work and Childcare

What percentage of respondents reports never having taken time off? What percentage of respondents says they had to quit their jobs to take care of their children? Which gender appears most likely to take time off?

What percentage of men and what percentage of women reported choosing their job based on its geographical proximity to their children?

Relationship Satisfaction

Which gender reports the highest level of satisfaction? What percentage of mothers is unhappy with the way role responsibilities are handled? Do you find the results surprising?

Are respondents satisfied with their relationship with their spouse? Is one gender more satisfied/dissatisfied than the other? Do the results surprise you in light of the previous analyses?

View Interpretation Guide


CITATION: Inter-university Consortium for Political and Social Research. Exploring the Second Shift: A Data-Driven Learning Guide. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2009-04-16. Doi:10.3886/secondshift

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