A small effect size indicates that a researcher has little room for error in the data.

Question

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A small effect size means that there is a small difference between groups or treatments being compared. This does not necessarily mean that there is little room for error in the data. The size of the effect is just one factor to consider when interpreting the results of a study. Other factors include sample size, variability in the data, and statistical significance.

A Small Effect Size Indicates That a Researcher Has Little