On
the other hand, some statistical tests get skewed if too many observations are used and almost
anything is “statistically significant” even if the effect is very small. For most types of analysis, the
necessary sample size can be determined using well-developed statistical techniques. A basic rule
is at least ten observations are needed for each different independent or control variable with an
absolute minimum of 100 observations (Cohen, 1990).