Research Design Flashcards

(39 cards)

1
Q

State the 5 things research needs to be

A
  1. Systematic
  2. Logical
  3. Empirical (data)
  4. Reductive
  5. Replicable
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2
Q

State, in order, the 6 steps of the research process

A

Review literature -> formulate questions -> design research -> collect data -> interpret results -> publish findings (-> review literature… continue, it’s a continuous loop)

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3
Q

State what it is meant by the key term ‘reductionism’

A

Reductionism is the process of reducing questions down to it’s core parts to answer it

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4
Q

What is the difference between ‘applied’ and ‘basic’ reductionism

A
  1. Applied - usually field based

2. Basic - usually lab based

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5
Q

From left to right, what are the 3 headings of the research design continuum

A

Analytical ———— descriptive ———— experimental

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6
Q

What are the sub-divisions of ‘analytical’ (research design continuum)

A

Review —— historical ——- philosophical

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7
Q

What are the sub-divisions of ‘descriptive’ (research design continuum)

A

Case study —— survey

(Survey) Cross sectional —- longitudinal —— correlational

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8
Q

What are the sub-divisions of ‘experimental’ (research design continuum)

A
  1. Pre-designs
  2. Quasi designs
  3. True designs
  4. Stats designs
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9
Q

State 2 facts about ‘reviews’ (research design continuum)

A
  1. Critiquing evidence

2. Meta analysis (combines results of multiple different scientific studies)

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10
Q

State 2 facts about ‘historical’ (research design continuum)

A
  1. Assess past records

2. Documenting events

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11
Q

State 2 facts about ‘philosophical’(research design continuum)

A
  1. Organising evidence

2. Synthesising theory

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12
Q

State 1 fact about ‘case study’ (research design continuum)

A

Study an individual

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13
Q

State 1 fact about ‘cross sectional’ (research design continuum)

A

Take a sample at a singe time point

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14
Q

State 1 fact about ‘longitudinal’ (research design continuum)

A

Collect samples at multiple time points

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15
Q

State 2 facts about ‘correlational’ (research design continuum)

A

Describing the relationships between the collected data (correlation does not mean causation)

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16
Q

State what it is meant by the key term ‘pre-designs’ (research design continuum)

A

Research schemes in which a subject, or group, is obsurved after a treatment has been applied in order to see if the treatment has the potential to cause change

17
Q

State what it is meant by the key term ‘quasi-design’ (research design continuum)

A

A quasi-design is where you test individuals without random assignment into groups

18
Q

State what it is meant by the key term ‘true designs’ (research design continuum)

A

One where the observer manipulates the independent variable to observe the effect, while using random assignment of participants into groups to control external factors which may influence the results

19
Q

State what it is meant by the key term ‘stats designs’ (research design continuum)

A

A type of experimental design which allows for statistical analysis and control of external environments

20
Q

State what it is meant by the key term ‘independent variable’

A

The variable in which you control

21
Q

State what it is meant by the key term ‘dependent variable’

A

The variable in which you measure the effect on

22
Q

State what it is meant by the key term ‘extraneous variable’

A

Not independent variables, but variables which could effect the dependent variable

23
Q

State what it is meant by the key term ‘confounding variable’

A

A third variable related to both the supposed cause and supposed effect on the study (cause-effect relationship)

24
Q

State what it is meant by the key term ‘randomisation’

A

Randomisation is the process of how you allocate your test groups

25
Give 2 examples, and explain them, of randomisation
1. Matched groups design - create two groups non-randomly and look at average score 2. Matched pairs design - two groups and individuals are paired in groups on a common factor (eg- age) then given different treatments
26
State, and explain, a further 2 examples of randomisation
1. Coin flip - put into group A or B | 2. Repeated measure design - some participants participate in both groups themselves
27
State a pro (1) and a con (2) of matched group designs
1. Reduces participant variables as paired up with individual whom has similar characteristics 2. Very time consuming trying to find closely matched pairs
28
State a pro (1) and a con (2) of matched pairs design
1. Reduces participant variables as paired up with individuals whom have similar characteristics and abilities 2. If one participant drops out then you lose 2 pieces of data / time consuming finding individuals whom closely match
29
State a pro (1) and a con (2) of repeated measure designs
1. As each participant are used in each condition, participant variables (i.e - individual differences) are reduced 2. There may be order effects
30
State what it is meant by the key term ‘order effects’
The order effect refers to the phenomenon that different orders in which questions are asked may influence responses into a more or less systematic fashion
31
State a pro (1) and a con (2) of
1. Simple, easy and quick to do | 2. Can lead to groups being very individually different to each other
32
Explain what a Solomon’s 4 group design does
1. Pre-tests 2 individuals, then gives one the intervention and one the placebo and then does a post test 2. Gives 2 more individuals an intervention or the placebo with no pre test but do do a post test
33
What is the benefit of the Solomon’s 4 group design
Allows the researcher to see if the pre-test influenced the results
34
Explain the logical reasoning continuum
1. Theory —(deductive/test theory)—> observation —(inductive/form theory)—> theory ... etc... 2. Left side = understand (arrow pointing towards continuum) 3. Right side = explain (arrow pointing away from continuum)
35
State 3 things on the ‘understand’ side of the logical reasoning continuum
1. Interpretivist epistemology 2. Constructionist ontology 3. Phenomenological analysis 4. Qualitative approach 5. ‘Why should?’
36
State 3 things on the ‘explain’ side of the logical reasoning continuum
1. Positivist epistemology 2. Objectivist ontology 3. Empirical analysis 4. Quantitative approach 5. ‘Why does?’
37
State the difference between ‘interpretivist epistemology’ and ‘positivist epistemology’
1. The branch of epistemology is in a way an answer to the objective world of positivism that researchers felt wanting 2. Sees observable evidence as the only form of defensible scientific findings
38
State the difference between ‘constructionist ontology’ and ‘objectivist ontology’
1. Assets that the social phenomena and their meanings are continuously being accomplished by social actors 2. Psychological phenomena are real and have definitive properties and causes
39
State the difference between ‘phenomenological analysis’ and ‘empirical analysis’
1. A qualitative approach aiming to provide detailed examinations of personal lived experience 2. Relies on real world data, metrics and results, rather than theories and concepts