Studies
employing small sample sizes are not without value; indeed, they often serve as useful pilot studies for future, more comprehensive, work.
However, they only
employed a small sample.
Not exact matches
Tobias and Richards have just begun crunching their data but their preliminary analyses show that almost everyone in their
sample is
employed, half to two - thirds at private companies, and
smaller numbers at non-profit organizations, in education, or in government.
Unsuccessful replications most often occurred when the
sample size in the original study was
small and when randomization was not
employed.
In the
sample trading strategies below, we
employ both quantitative approaches as well as bottoms up input from our team of fundamental analysts to identify this
small sample of feasible (though not necessarily probable) LBO candidates.
Rather than tracking a
small group of individual animals, the team
employed dozens of eyes in the wild (that is, non-invasive camera traps) to
sample entire populations.
While the results of that study were very encouraging, they were not as compelling as perhaps they could have been, given that the Gilbert (1997) study
employed a very
small sample (n = 30).
53, No. 1 (Feb., 1982), pp. 136 - 143 (The effects of father absence on educational achievement and intellectual development of 6 -11-year-old children were investigated by
employing a nationally representative
sample of 5,493 father - present and 616 father - absent children from the Health Examination Survey of the National Center for Health Statistics... Following statistical control for SES, we associated no decrements with the father's absence / presence, and in some instances,
small but significant increments were found to be associated with children from fatherless families.)
We chose to
employ one - tailed correlations due to the
small sample size of this preliminary study, as well as the directional assumptions regarding the correlation (i.e., positive versus negative) among the assessed variables.