What is a con of sequential designs?

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Multiple Choice

What is a con of sequential designs?

Explanation:
The key idea being tested is that sequential designs, while designed to separate age effects from cohort and time effects by studying multiple cohorts over time, still carry biases similar to those found in longitudinal and cross-sectional studies. They are not immune to problems like attrition, where participants drop out at different rates across cohorts, which can distort age trajectories. Repeated testing can also introduce practice effects, and differences in measurement or context across cohorts can blur true developmental change. Because of these shared challenges, sequential designs may inherit biases from both longitudinal and cross-sectional approaches, even as they offer efficiency or richer insights. Contrary statements don’t fit: sequential designs are not bias-free, they do not inherently yield only qualitative data, and they do not always require large samples.

The key idea being tested is that sequential designs, while designed to separate age effects from cohort and time effects by studying multiple cohorts over time, still carry biases similar to those found in longitudinal and cross-sectional studies. They are not immune to problems like attrition, where participants drop out at different rates across cohorts, which can distort age trajectories. Repeated testing can also introduce practice effects, and differences in measurement or context across cohorts can blur true developmental change. Because of these shared challenges, sequential designs may inherit biases from both longitudinal and cross-sectional approaches, even as they offer efficiency or richer insights.

Contrary statements don’t fit: sequential designs are not bias-free, they do not inherently yield only qualitative data, and they do not always require large samples.

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