Question

How can a researcher produce an incorrect conclusion based on causality and why is data mining not a good practice?

Why is a self-selected sample not reliable?

Answer 1

(1) Question:
How can a researcher produce an incorrect conclusion based on causality:

A researcher produces an incorrect conclusion based on False Cause Fallacy when he cites to sequential Events as evidence that the firsy Event caused the second Event as folllows:

Event A happened.

Event B happened after Event A.

So, Event A caused Event B.

(2) Question:

Why is data mining not a good practice?

The data mining, though, as a knowledge discovery process, provides intelligent search for new knowledge in existing masses of data, is not a good practice because of possibility of identity theeft, impersonation ana personal embarrassment. The bad effects are Private issues, Securitu issuesMisuse of information, Inaccurate information etc.

(c)

Question:

Why is self - selected sample not reliable?

Answer :

Self selection bias arises in situation in which individuals select themselves into a group, causing a biased sample with nonprobability sampling.

Self - Selected Samples are not reliable because the researcher has no control over selection of items: The inclusion or exclusion of sampling units is determined by whether the units themselves agree or decline to participate in the sample.