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?