Research methods Flashcards

(37 cards)

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
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2
Q

What is operationalising

A
  • making sure variables in form easily testable

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

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3
Q

What are standardised procedures

A
  • procedures same for everybody to make study replicable
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4
Q

External validity

A

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

  • ecological
  • temporal
  • population
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5
Q

Confounding variable

A
  • variable that systematically varies with IV

- confound means cause confusion

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6
Q

Internal validity

A
  • extent whether observed effect due to manipulation not extraneous variables
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7
Q

Concurrent validity

A
  • comparing 2 tests to see if they have similar results
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8
Q

Face validity

A
  • if test appears to measure what it set out to
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9
Q

Mundane realism

A
  • how much a study mirrors real world
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10
Q

How to improve reliability

A
  • make sure all procedures standardised
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11
Q

How to improve reliability of self report techniques

A
  • test - retest

- repeat test after length of time and correlate scores

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12
Q

Repeated measures design - pros and cons

A
  • order effects/ boredom - need counterbalancing

- reduced risk of individual diffs

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13
Q

IG design

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

- avoids order effects

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14
Q

Matched pairs

A
  • impossible to match people on 100% everything

- reduces ppt variables

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15
Q

Field experiment

A
  • natural enviroment
  • Iv manipulated
  • ppts unaware - no conforming to demand characteristics
  • hard to control extraneous variable - and ethical issues
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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
Controlled obs
- unatural | - able to focus on certain behaviours
26
Overt obs
- may have demand characteristics
27
Covert obs
- behaviour more natural | - no consent
28
PPT obs
- special insights gained | - ppts awareness risk
29
Non ppt obs
- high objectivity | - no consent
30
Questionnaires - self report
- get data from large sample | - social bias
31
Interviews
- structured one - repeatable but interviewer bias risk | - unstructured - skilled people needed but more info obtained
32
Standard deviation
- shows amount of variation in data - spread - precise - may hide characteristics
33
Qualitive data
- detailed info obtained | - hard to draw conclusions
34
Quantative data
- easy to analyse | - may oversimplify reality
35
Scientific process and peer review
- 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
Features of science
- empirical meths - objectivity - replicability - theory construction - hypotheses testing - falsafiability - paradigms
37
Type 1 and 2 errors
- 1 - false positive - 10% level - null rejected - 2 - false negative - 1% level - Null accepted (saying no diff)