Data Forgery Consists of

Multiple Choice

Data forgery consists of

A) reporting the results of a study that was never conducted.
B) discarding data that do not support the researcher's hypothesis so that the study produces "better" results.
C) changing some participants' scores so that they better fit the predictions made by the research hypothesis.
D) repeatedly conducting different types of statistical tests on a data set until significant results turn up.