Unit 4: AOS 3 Flashcards

1
Q

Aim

A

the aim of the study was to determine if the (iv) influences the (dv)

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2
Q

Hypothesis

A

It was hypothesised that (population) who (iv) will increase/decrease (dv), compared to (population) who (iv)

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3
Q

IV

A

manipulated

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4
Q

DV

A

measured

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5
Q

Case study

A

an investigation of a particular activity, behaviour, event or problem that contains a real or hypothetical situation and includes the complexities that would be encountered in the real world

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6
Q

Case Study +/-

A

+highly detailed
+allow phenomena to be examined in depth
-cannot be generalised to wider population
-time-consuming

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7
Q

Correlational Study

A

a type of non-experimental study in which researchers observe and measure the relationship between two or more variables without any active control or manipulation of them

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8
Q

Correlational Study +/-

A

+no manipulation of variables required
+naturalistic settings (applicable to real work)
-cannot draw conclusions about cause and effect
-subject to the influence of extraneous variables

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9
Q

Controlled experiments

A

type of investigation in which the casual relationship between two variables is tested in a controlled environment (effect of iv on the dv tested while aiming to control all other variables)

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10
Q

Controlled experiments +/-

A

+draw conclusions about specific variables
+strictly controlled procedure
-setting may not reflect real life
-open to researcher error or experimenter effects

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10
Q

Controlled experiements EG

A

 Within subjects: all participants take part in every condition
 Between subjects: every participation experiences only one condition
 Mixed design: combines features

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11
Q

Fieldwork

A

observing and interacting with a selected environment beyond the classroom (direct observation, qualitative interviews, questionnaires, focus groups, yarning circles)

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12
Q

Fieldwork +/-

A

+applicable to real world
+rich, detailed data
-time-consuming and expensive
-difficult to control environment and extraneous variables

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13
Q

Population

A

large group that is of interest to the researcher

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14
Q

Convenience sampling

A

selecting readily available members of the population

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15
Q

Convenience sampling +/-

A

+time-effective
+cost-effective
-harder to generalise results
-unrepresentative sample

16
Q

Random sampling

A

equal chance

17
Q

Random Sampling +/-

A

+equal chance
+highly representative sample
-time-consuming
-biased sample (by chance)

18
Q

Stratified Sampling

A

breaking the population into groups based on strata you wish to control for in the sample

19
Q

Stratified Sampling +/-

A

+representative sample
-time-consuming
-expensive

20
Q

Extraneous variables

A

a variable other than the IV that MAY cause a change in the DV

21
Q

Confounding variables

A

a variable other than IV that has an unwanted effect on the DV

22
Q

EV/CV EG

A

o Participant-related differences
o Order effects
o Placebo effects
o Experimenter effects
o Situation variables
o Non-standard instructions and procedures
o Demand characteristics

23
Q

Ways to prevent EV/CV

A

o Sample size and procedures
o Experimental design choice
o Counterbalancing
o Placebo
o Single blind procedures
o Double blind procedures
o Standardised instructions and procedures
o Controlled variables

24
Ethical Concepts
 Beneficence  Integrity  Justice  Non-maleficence  Respect
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Ethical Guidelines
 Confidentiality  Debriefing  Informed consent procedures  Use of deception in research  Voluntary participation  Withdrawal rights
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Accuracy
how close a measurement is to the true value
27
Precision
how closely a set of measurement values agree with each other
28
Repeatability
same results when carried out under identical conditions
29
Reproductibility
same results when repeated under different conditions
30
Validity
measures what it is supposed to measure o Internal validity: no EV (high), EV (low) o External validity: large sample (high), small sample (low)
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Errors
 Systematic errors: consistent amount  Random errors: occur due to chance  Personal errors: mistakes, miscalculations and observer errors  Uncertainty in data: lack of exact knowledge due to variation in knowledge
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 Can be Generalised
o Sample is representative o No confounding variables o Results statistically significant
33
Conclusion/Generalisation
From the research evaluated, it can be concluded that the hypothesis was …, These findings (can/cannot) be generalised to the wider population due to …
34