PI2 revision & exam scores Flashcards
aim
to investigate whether there’s a correlation between the hours spent revising & exam scores obtained
null hypothesis
there’ll be no rel between the hours which students spent revising & raw marks (out of 87) that they obtained
non-directional hypothesis
there will be a correlation between the hours spent revising & raw marks out of 87 which students obtained
directional hypothesis
there will be a positive correlation between the hours spent revising & raw marks (out of 87) obtained (participants who spend more hours revising will recieve a higher raw mark out of 87)
operationalised variables
revision : hours spent revising (rounded to nearest hr)
exam score : raw mark obtained as ps sat same test which was out of 87
sampling technique
sample: post 16 psychology students
opportunity sampling: as students left their classroom (after recieving their mark) researcher asked first ones they saw (who were willing to answer)
method
- repeated measures - all students were asked the same questions (“how many hours did you spend revising and what was your raw mark (out of 87))
- interview/questionairre ??
procedure
- students sat same psychology exam in same place at same time and recieved their marks on same occasion
- after recieving their results, students were asked how many hours they spent revising & their raw mark
- data was recorded in a table & then plotted in a scatter graph to see if there was a correlation
findings
a very weak but postitive correlation was found
(it almost looked like there was no correlation on graph)
MEDIAN - 39 and RANGE - 48
descriptive statistics
MEDIAN - was used as data was estimates (as students were asked how many hrs they thought they had spend revising 2 nearest hr) & you just look 4 middle no.
ORDINAL - hrs spent revising as don’t know gap as ps idea of an hr may differ
INTERVAL - raw mark obtained as we do know the difference between each value as paper was out of 87
inferential test
SPEARMAN’S RANK
- correlation between exam scores & hrs spent revising
- data types is ordinal & interval
- experimental design is repeated measures
establishing reliability
- operationalising co-variables & using same questions helped establish reliabilty by making it easier for other researchers to replicate study & get consistent result (as could ask same questions & use same operationalised definitions)
- compared exp to previous research to ensure that similar findings were obtained
issues with reliabilty
- participants perception of what constitutes an hour of revision may differ so if repeated findings are unlikely 2 be same
- using raw marks may be problematic if other researchers are looking at students who sat different papers
issues with validity
INTERNAL - ps may have lied about hrs spent revising due to SDB, extraneous variables may have affected result (eg: natural intelligence, mood before sitting exam)
POPULATION - ps were from same school & did same subject so can’t be generalised how revision time affects exam scores in other subjects of other students from other schools/ pops
establishing validity
INTERNAL - ps sat same party at same time in same room & exam was marked by same teacher - controlling these conditions helped reduced risk of extraneous factors influencing results
ECOLOGICAL - conducting it in field helped mantain EV as ps weren’t forced to revise a certain time, were asked how long they spent revising & how that affected results - more generalisable to real life settings