Answer:
1.
One should use an independent three group
design
- A scientist is keen on examining if religion (autonomous
variable) has anything to do with receptiveness to new encounters
(subordinate variable).
- For this, the analyst utilizes college understudies from three
religions, Christianity, Zoroastrianism and Islam, and regulates
the Big 5 survey to quantify the Openness measurement.
2.
One should use a matched OR natural set
design
- A specialist is keen on examining if having breakfast
(autonomous variable) has anything to do with the viability of the
working memory (subordinate variable).
- For this, the scientist utilizes understudies from a college
and makes sets dependent on their age and sexual orientation.
- She at that point arbitrarily appoints every individual from
the pair to the trial condition (with breakfast) and the other part
to the control condition (without breakfast). She at that point
controls a test to check their working memory.
3.
One should use a repeated measures design
- A scientist is keen on contemplating if liquor (autonomous
variable) has anything to do with scholarly inspiration
(subordinate variable).
- For this, the analyst utilizes members a college. On the
primary day of the investigation, she furnishes them with liquor
and measures their scholastic inspiration through a poll.
- Following seven days, she meets them again and controls the
survey once more. In any case, this time, no liquor is served.