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Determinants of Survey Sample Size

The optimal sample size for a survey generally depends on two primary factors: the researcher's desired level of statistical confidence and the practical constraints of the study's budget. If the sampling design and other factors are held constant, larger samples reduce expected sampling error; they also require more time, effort, and money to collect. Increasing sample size alone does not remove systematic bias from an incomplete sampling frame (Statistics Canada, Chapter 8, sections 8.1–8.2.1). Researchers frequently use power analyses to balance these theoretical and practical considerations.

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Updated 2026-10-08

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KPU

Research Methods in Psychology - 4th American Edition @ KPU

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