Imagine that you are using a cross-sectional design to conduct a study on attitudes toward gender equity in the work place. You find that 40-year-old participants are much more resistant to gender equity than are 20-year-old participants. One potential problem that might arise in interpreting the data is that

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The potential problem in interpreting the data from a cross-sectional study comparing different age groups is that the results may be confounded by differences in the experiences of different birth cohorts. This means that the observed differences in attitudes toward gender equity might not solely be due to age but could also be influenced by the unique social, economic, and cultural experiences of each age group's formative years.  : Social and political conditions experienced by people who were born in different years may be very different from one another depending on the age group.

Imagine That You Are Using a Cross-Sectional Design to Conduct