Research Methods Flashcards

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1
Q

3 experimental designs and their issues

A

1) Repeated measures
- each pp does each condition
- order effects (counter-balancing)
- demand characteristics (cover story)

2) Independent groups
- each pp does one condition
- pp = confounding variable (random allocation
- More pp needed

3) Matched Pairs
- matched on key characteristics
- time consuming
- diff to match (restrict variables)
- need known variables (pilot study)

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2
Q

What is a directional hypothesis?

A

One-tailed

  • states direction
  • used when previous research indicates direction
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3
Q

What is a non-directional hypothesis?

A

Two-tailed

  • states difference but not direction
  • no previous research
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4
Q

What is a pilot study?

A
  • Small scale trial run
  • Check methodological problems
  • Check ethics
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5
Q

What is validity? 2 types, assessing, improving

A
  • Accuracy
  • Internal (tests what is intended), external (population, ecological, historical)
  • Assessing- Face validity (surface value), Concurrent validity (two tests corrolated similarly)
  • Improving- Low face- make more relevant, low concurrent- remove irrelevant, double bind, pilot study
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6
Q

What is reliability? Assess and improve

A
  • Consistency
  • Assess- inter observer, test-retest. split half
  • Improve-standardised procedures, IO- behavioural categories, TRT- reduce ambiguity
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7
Q

Define probability

A

Numerical measure of likelihood/ chance that certain events occur

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8
Q

Why is the 0.05 level used?

A
  • best compromise
  • 5% probability of chance
  • 95% probability of accuracy
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9
Q

Type I and Type II error

A
TYPE I
- FALSE POSITIVE
- reject null hyp, sig level too low
TYPE II
- FALSE NEGATIVE
- accept null hyp, sig leve; too high
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10
Q

8 features of a science

A

1) Empirical methods (evidence through direct observation and no bias)
2) Objectivity
3) Replicability
4) Theory construction (induction- propose theory after, deduction- propose theory first)
5) Hypothesis testing (assess validity of hypothesis)
6) Paradigm (shared set of assumptions)
7) Paradigm shift (scientific revolution)
8) Falsifyability (ability to prove something wrong via tests)

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11
Q

8 features of a science

A

1) Empirical methods (evidence through direct observation and no bias)
2) Objectivity
3) Replicability
4) Theory construction (induction- propose theory after, deduction- propose theory first)
5) Hypothesis testing (assess validity of hypothesis)
6) Paradigm (shared set of assumptions)
7) Paradigm shift (scientific revolution)
8) Falsifyability (ability to prove something wrong via tests)

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12
Q

9 types of research method

A
  • Experiments
  • Observation
  • Questionnaires
  • Interviews
  • Case studies
  • Correlation
  • Meta analysis
  • Content analysis
  • Longitudinal
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13
Q

4 types of experiment

A

1) Lab- IV manipulated
- H intern val
- L eco val- mundane realsim
- Demand characteristics

2) Field- IV manipulated but more natural
- More natural
- Less control

3) Natural- IV is naturally occuring
- allows research that wouldn’t be ethical if manipulated IV
- Low control- confounding variables- L internal validity

4) Quasi- IV is naturally occurring (eg genders)
- Allows comparison between types of people
- Low control- confounding variables- L internal validity

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14
Q

2 problems with experiments

A

1) Demand characteristics
- single bind
- double bind

2) Investigator effects
- double bind

  • experimental realism
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15
Q

6 types of observation and some evaulation

A

1) Naturalistic- no interfering
2) Controlled- lacks realism
3) Overt- pp aware
4) Covert- pp unaware
5) Non-participant- watches from a distance
6) Participant- joins group- inter observer

  • Observer bias
  • Naturalistic has high ecological validity
  • covert has ethical issues
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16
Q

3 self- report techniques and their evaluation

A

1) Questionnaires
- open and closed questions
- objective and scientific
- easily distributed

2) Structured interview
- pre-determined questions- no deviation
- interviewer bias
- easier analysis and form stats

3) Unstructured interview
- general aims, develops based on previous answer
- interviewer bias
- more personal

17
Q

What is a meta- analysis? Evaluation

A

Review of previous research addressing a particular aim or hypothesis to assess trends

  • H validity and large sample
  • different designs/ aim (not comparable)
18
Q

What is a case study? Evaluation

A

Detailed study of individual- often longitudinal- can be observation or interview

  • detailed and unique
  • difficult to generalise
19
Q

What is a Content analysis? Evaluation

A

Indirect observation- analysis of artefacts like tv programes
Describe content- provide quantitative from qualitative
- observer bias = low internal validity and reliability

20
Q

6 Ethical issues

A

1) Right to Withdraw
2) Confidentiality
3) Privacy
4) Deception
5) Protection from harm
6) Informed consent

21
Q

5 sampling methods, way they are done and +ive, -ive

A

1) Random- random number generator
+ unbias- equal chance
- list of names- time

2) Stratified- in proportion
+ proportional representation
- time consuming

3) Volunteer- advertise
+ variety of pp
- volunteer bias

4) Opportunity- convenience
+ easiest
- lacks population validity

5) Systematic- every nth person
+ objective
- not 100% random

22
Q

3 measures of central tendancy and their evaluation

A

Central/ averages

1) Mean- distorted by extremes
2) Median- not distorted by extremes but doesn’t reflect exact values
3) Mode- not distorted by extremes but not useful if more than one mode

23
Q

2 measures of dispersion

A

spread of data

1) standard deviation- precise as takes all values into account but distorted by extremes
2) range- easy to calculate but distorted by extremes

24
Q

The role of peer review

A
  • check ethics
  • ## check validity