Seven Critical Components Flashcards
1
Q
seven critical components of statistical studies
A
- the source of research and its funding
- do the researchers have anything to gain/lose from the outcome(s)? if so, it’s important to ensure correct statistical procedures were followed - the researchers who had contact with the participants
- how might the researchers influence the outcome(s)? - the individuals or objects studied and how they were selected
- is the sample representative of the population of interest?
- are there systematic problems with how individuals/objects were selected? - the exact nature of the measurements made or questions asked
- how are the measurements defined?
- what measurement errors might be present?
- are the questions leading/misleading? - the setting in which measurements were taken
- when, where and how were the measurements taken?
- what impact would this have? - any differences in the groups being compared, in addition to the factor(s) of interest
- what other variables may be at work? - the extent or size of any claimed effect or differences
- how much of a difference exists between groups?
- does the difference/effect have practical significance
2
Q
article: red bull gives you injuries
A
• Study suggests that energy drink cocktails lead to questionable behaviour
– students who consume energy drink cocktails are more likely to suffer injuries, ride with an impaired driver
– students who consumed energy drink cocktails were more likely to be taken advantage of sexually, or take advantage of someone, than those who just drank alcohol
• Alcohol is a depressant, caffeine is a stimulant – the power drinks hide the effect of the alcohol
3
Q
article: high heels have a strange effect on men
A
study suggests that high heels do a better job of helping women get what they want from men
- more men agreed to take a survey when women wore 4-inch heels vs 2-inch heels or flats (the proportion of women who agreed to take the survey remained constant)
- more men stopped to pick up a dropped glove for women with high heels
- women with high heels were seen as more attractive