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Cross-sectional and Quasi-experimental designs

I am having trouble finding the strengths and limitations of Cross-Sectional and Quasi-Experimental Designs. Please help explain its limitations and weaknesses.

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Cross-sectional designs allow you to look for age-related changes, and to establish those changes quickly because we are comparing people of different ages at a given point in time. For example, you might select 10 20-year-olds, 10 30-year-olds, and 10 40-year-olds to compare how income levels change with age. The key point (and the key advantage) is that by comparing different people in each age group, you can get an idea of changes with age without waiting for people to age; this is much faster than using a longitudinal design where we have to measure people when they are 20 years old, wait 10 years and measure them again (at age 30), then wait another 10 years to measure them at age 40. The key disadvantage of ...

Solution Summary

This solution describes the advantages and disadvantages of cross-sectional designs, using an example.
It also describes the drawbacks of quasi-experimental designs.