research methods Flashcards

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
Q

define extrenuous variable and what are the two types

A

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
Q

define confounding variable

A

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
Q

define demand characteristics

A

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
Q

define investigator effects

A

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
Q

define experimental design

A

different ways in which the testing of participants can be organised in relation to experimental conditions

30
Q

what group is most common in experimental design

A

independant

31
Q

what group is most ideal in experimental design

A

matched pairs

32
Q

define independant group degign and the good amd bad bits and give example

2 completely different people

A

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
Q

Explain null hyposthesis

A

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
Q

Define repeated measures design and the good and bad and example

A

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
Q

Another way for repeated measures has weakness

A

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
Q

Explain counterbalancing

A

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
Q

Explain matched pairs design and what is good and bad and give example

A

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