Research methods Flashcards

You may prefer our related Brainscape-certified flashcards:
1
Q

Define extraneous variables and what are the 4 types

A
  • demand characteristics
  • experimenter effects
  • ppt effects
  • situational variables
  • it does not act as alternative IV but may have affect on DV
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

What is operationalising

A
  • making sure variables in form easily testable

- eg - not just ‘educational attainment’ but ‘grade in maths’

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

What are standardised procedures

A
  • procedures same for everybody to make study replicable
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

External validity

A

degree to which research findings can be generalised to other settings/ people - 3 diff types

  • ecological
  • temporal
  • population
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Confounding variable

A
  • variable that systematically varies with IV

- confound means cause confusion

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

Internal validity

A
  • extent whether observed effect due to manipulation not extraneous variables
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Concurrent validity

A
  • comparing 2 tests to see if they have similar results
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Face validity

A
  • if test appears to measure what it set out to
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Mundane realism

A
  • how much a study mirrors real world
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

How to improve reliability

A
  • make sure all procedures standardised
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

How to improve reliability of self report techniques

A
  • test - retest

- repeat test after length of time and correlate scores

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Repeated measures design - pros and cons

A
  • order effects/ boredom - need counterbalancing

- reduced risk of individual diffs

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

IG design

A
  • no control over ppt variables - age,gender etc.

- avoids order effects

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

Matched pairs

A
  • impossible to match people on 100% everything

- reduces ppt variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

Field experiment

A
  • natural enviroment
  • Iv manipulated
  • ppts unaware - no conforming to demand characteristics
  • hard to control extraneous variable - and ethical issues
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

Lab experiment

A
  • variables controlled
  • high internal validity
  • artificial - low ecological
17
Q

Natural experiment

A
  • Iv varies naturally

- Cant demonstrate causal relationships

18
Q

Quasi experiment

A
  • Iv naturally occuring
  • low mundane realism
  • allows comparisons to be made
19
Q

Opportunity sampling

A
  • less time consuming

- not representative sample - bias

20
Q

Random sampling

A
  • unbiased

- time consuming

21
Q

Stratified sampling

A
  • very representative - high ecological

- time consuming

22
Q

Systematic sampling

A
  • unbiased

- hard to achieve

23
Q

Volunteer sampling

A
  • variety of people

- certain type of ppts

24
Q

Naturalistic obs

A
  • high ecological

- little control

25
Q

Controlled obs

A
  • unatural

- able to focus on certain behaviours

26
Q

Overt obs

A
  • may have demand characteristics
27
Q

Covert obs

A
  • behaviour more natural

- no consent

28
Q

PPT obs

A
  • special insights gained

- ppts awareness risk

29
Q

Non ppt obs

A
  • high objectivity

- no consent

30
Q

Questionnaires - self report

A
  • get data from large sample

- social bias

31
Q

Interviews

A
  • structured one - repeatable but interviewer bias risk

- unstructured - skilled people needed but more info obtained

32
Q

Standard deviation

A
  • shows amount of variation in data - spread
  • precise
  • may hide characteristics
33
Q

Qualitive data

A
  • detailed info obtained

- hard to draw conclusions

34
Q

Quantative data

A
  • easy to analyse

- may oversimplify reality

35
Q

Scientific process and peer review

A
  • process - researchers follow to determine relationship between variables
  • review - assesment of work by experts in same field
  • review stops false info entering public domain
36
Q

Features of science

A
  • empirical meths
  • objectivity
  • replicability
  • theory construction
  • hypotheses testing
  • falsafiability
  • paradigms
37
Q

Type 1 and 2 errors

A
  • 1 - false positive
  • 10% level
  • null rejected
  • 2 - false negative
  • 1% level
  • Null accepted (saying no diff)