research methods Flashcards

(37 cards)

1
Q

what does DDRIPP stand for in ethics

A

Debrief
Deception
Right to withdraw
Informed consent
Privacy
Protection from harm

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2
Q

explain Debrief

A

-participants should be able to ask questions at the end of the study
-allowed to know the results of the study
-publication,of how their data might be used

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3
Q

explain Deception

A

-means decieving the participants in terms of not telling them the full aims of the study.
-telling and using their results when you havent told them the full aim
-should be informed on how their data is publicised

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4
Q

explain Right to withdraw

A

-all participants have the right to withdraw when they give their consent
-they have the right to not answer any question

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5
Q

explain Informed consent

A

-should be obtained before study
-given detailed info about study
-confirm with signature and date they understand t&c
-parental consent for children

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6
Q

explain Privacy

A

-should not be named or identified when showing reults in a graph
-should not talk about performance with others
-respects privacy and confedentiality of the results
-all participants should remain anonymous

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7
Q

What is the British Psychological Society(BPS)

A

provides guidance and principle for psychological research.

ensures research is done in a ethically acceptable way

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8
Q

what is meant by Aim

A

a general statment of what the research intends to investigate the purpose of the study.
broad statement

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9
Q

what is a Hypothesis

A

clear,precise,testable statemnet that states relationship between the variables to be investigated-predicts likely outcome of study

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10
Q

what are the 3 types of hypothesis

A

directional

non directional

null

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11
Q

what is meant by a directional hypothesis

A

states direction of the difference
“significantly more,less,lower,higher”

e.g. older people will have a significantly poorer memory than younger people

one tail

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12
Q

what is meant by non-directional hypothesis

A

states there will be a difference but not what it is -not specific

e.g. there will be a difference in memory between older and younger people

two tails

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13
Q

what are the 5 types of sampling

A

systematic , stratified , opportunity , random , volunteer

SSORV

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14
Q

what is systematic sampling

A

researcher picks according to system like every nth participant in a list

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15
Q

what is stratified sampling

A

target population is broken down into demographics

participants are selected from each demographic

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16
Q

what is opportunity sampling

A

sample consists of whoever seems to be available at the time

17
Q

what is random sampling

A

every member of target pop has equal chance of being seleced

18
Q

what is volunteersampling

A

people who volunteer to be participants

19
Q

what is good and bad about random sampling

is it representative?

A

good- free from researcher bias=no infulence over who is selected

bad-difficult and time consuming
- not always representative=by chance all could be males

20
Q

what is good and bad about systematic sampling

is it representative?

A

good-free from researcher bias

bad-

usually fairly rep ,it would be near possible if all males were picked for e.g

21
Q

what is good and bad about opportunity sampling

is it representative?

A

good- conveniet ,saves time and effort

bad-researcher has control over selection of participants

unrep of target pop-participants are from specific area,cant be generalised

22
Q

what is good and bad about stratified sampling

is it representative?

A

good-avoids researcher bias,participants are randomly selected to make numbers

bad-

representative sample,accurately reflects the composition of the population,can generalise findings

23
Q

a good sample…..

A

-shouldnt take too much time as it impacts other resources

-needs to represent target pop. if it is rep then you can generalise from the sample to the target pop

  • should rule out possiblility of researcher bias
24
Q

define operationalisation

A

clearly defining variables in terms of how they can be measured

25
define extrenuous variable and what are the two types
any variable other than the iv that may have an effect on the dv if not cotrolled situational-noise,time of day,temp individual-personality,age ,gender
26
define confounding variable
any variable other than the iv that may have an effect on the dv so cant be sure of the source of change to the dv e.g in mood experment dpont kow whether its due to plants or personality
27
define demand characteristics
participants try to work out whats going on based on cues/clues guess aims or how they should behave behave in a way they think experimenter wants sabotage and behave the opposite
28
define investigator effects
any unwanted influemce of the investigator on the outcome e.g zimbardo told guards what to do but not to the prisoners can be intentional-chosing participants,how you deliver instructions can be unintentional-smiling at part.that do well,voice tones this creates demand characteristics
29
define experimental design
different ways in which the testing of participants can be organised in relation to experimental conditions
30
what group is most common in experimental design
independant
31
what group is most ideal in experimental design
matched pairs
32
define independant group degign and the good amd bad bits and give example 2 completely different people
two separate groups experience two different conditions good-reduces order effects bad-participant variable, not very economical= random allocation aims to evenly distribute participant charachteristics using random techniques e.g group1 have plants group 2 doesnt -should be compared
33
Explain null hyposthesis
No relationship between 2 variables being studied Results are due to chance and not significant There will be no significant difference between the memory of old and young people
34
Define repeated measures design and the good and bad and example
All participants experience both conditions E.g each participant eoll have plants in room for a week Condition a is experimental Condition b no plants is control Good- reduces participant variable -fewer participants needed Bad- order effect - demand characteristics ,woll try to find aim of study and change behaviour
35
Another way for repeated measures has weakness
Repeating two tasks could end up in deterioration in the second task cause of boredom OR Performance might improve on the second task cause they've had practice ,this creates a confounding variable Weakness- order effects,demand characteristics
36
Explain counterbalancing
Half the participants take part in condition a then b and other half take part in b then a Partcipant 1 . A to B Particopant 2. B to A Participant 3. A to B
37
Explain matched pairs design and what is good and bad and give example
Participants are matched on variables e.g intelligence Then one particpant from each pair would be allocated to a different conditions Helps combat particpant variables E.g 2 smartest by iq go to group a and b ,go to different ones causetheyve been matched Good- reduces order effect ,reduces demand characteristics Bad- time consuming and expensive Can't be matched EXACTLY and should only have a small difference