With the pandemic, many experimental psychologists/linguists have started to collect data over the internet (“on-line data”). It is often assumed that data collected over the internet are more variable than lab data.
Is this true? If so, what is the source of this variability?
Knowledge about the extent and sources of variability is necessary to determine the feasibility of such experiments and compute the sample sizes required to achieve sufficient statistical power in future experiments.
We collected data in the lab and on-line for the same experiment. We measured the time needed to start saying the name of an object when this object is shown on the screen. The graph below suggests that on-line data are more variable:
Analyses show:
So, do we need larger sample sizes than for a lab experiment?
For between-participant designs, for sure
For within participant designs, not necessarily
The graphs below show power as a function of number of participants for two effects of typical size, 90 items per condition.