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Likelihood of overlooking important results

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A researcher increases the statistical power of a quantitative study by increasing the sample size. This reduces the chance that a real effect (rather than an apparent effect brought about by sampling variability) will be overlooked. Does triangulation offer the qualitative methodologist a similar reduction in the likelihood of overlooking important results? Why or why not?

Reference no: EM131888965

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