Learn Before
Excluding Participant Data
During the data checking process, a researcher may find that a participant's responses are missing key information or are highly suspicious. In such cases, the researcher must decide whether to exclude that participant's data from the analysis. Excluded data should never be deleted or thrown away; instead, it should be set aside with detailed notes explaining the reason for exclusion, as this decision must be reported in the final research write-up.
0
1
Tags
KPU
Research Methods in Psychology - 4th American Edition @ KPU
Related
Excluding Participant Data
A researcher has just finished collecting survey data from 200 participants who rated their stress levels on a 1-to-10 scale. Before running any statistical analyses, the researcher reviews the raw dataset and notices that one participant recorded a value of 15. What does this example best illustrate?