Experimental methods/designs Flashcards

1
Q

experimental method

A

involves the manipulating of an independent variable to measure the effect of the dependant variable

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2
Q

variables

A

any ‘thing’ that can vary or change within an investigation. typically used to determine causality

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3
Q

Independent variable (IV)

A

an aspect of the experiment that is manipulated by the researcher (or changes naturally) so the effect on the DV can be measured

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4
Q

Dependant variable (DV)

A

the variable that is measured by the researcher

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5
Q

extraneous variable (EV)

A

additional, unwanted variables that might potentially interfere with the IV or DV, and should be removed or controlled

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6
Q

confounding variable (CV)

A

a second unintended IV, which systematically changed with the IV, causing changes in the DV which affects the validity of results

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7
Q

demand characteristics

A

participants will change their natural behaviour in line with their interpretation of the aims of the study

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8
Q

Lab experiment

A

conducted under controlled conditions in which the researcher manipulates the IV, to measure the effect on the DV. often involves an artificial task or situation

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9
Q

Field experiment

A

conducted in natural conditions in which the researcher manipulates the IV, participants typically do not know they are taking part

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10
Q

natural experiment

A

where the researcher doesn’t manipulate the IV and instead examines the effect of a naturally occurring IV on the DV

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11
Q

quasi experiment

A

where the IV is an existing difference between people

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12
Q

strengths of a lab experiment

A

-extraneous variables can be controlled
-ethical due to informed consent and right to withdraw

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13
Q

weaknesses of a lab experiment

A

-situation is often artificial and cannot be generalised to everyday life
-may respond to demand characteristics

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14
Q

strengths of a field experiment

A

-natural, uninfluenced behaviour
-less likely to respond to demand characteristics

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15
Q

weaknesses to a field experiment

A

-extraneous variables cannot be controlled
-ethical issues raised such as lack of consent

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16
Q

strengths of a natural experiment

A

-naturally occurring variables are investigated, so reflective of real life
-opportunity to study situations that may otherwise be impossible to study due to practical reasons

17
Q

weaknesses of a natural experiment

A

-participants can’t be randomly allocated
-naturally occurring events may be rare, reducing opportunities for research

18
Q

strengths of a quasi experiment

A

-pre existing variables are investigated
-often in controlled conditions where extraneous variables are removed

19
Q

weaknesses of a quasi experiment

A

-low control over pre existing variables
-people cannot be randomly allocated

20
Q

experimental design

A

the way in which participants are used in experiments in relation to the different experimental conditions

21
Q

independent groups

A

when two separate groups of participants experience two different conditions of the experiment.

22
Q

repeated measures

A

all participants experience both conditions of the experiment

23
Q

matched pairs design

A

where participants are paired together on a variable or variables relevant to the experiment

24
Q

strengths of independent groups

A

-no problems caused by order effects
-less likely to guess aim of study and respond to demand characteristics

25
Q

weaknesses of independent groups

A

-individual differences present
-requires twice as many participants (less economical)

26
Q

strengths of repeated measures

A

-individual differences won’t affect results
-don’t need as many participants
(more economical)

27
Q

weaknesses of repeated measures

A

-problems caused by order effects
-more likely to guess aim of study and respond to demand characteristics

28
Q

strengths of matched pairs

A

-no order effects
-no individual differences

29
Q

weaknesses of matched pairs

A

-expensive
-time consuming

30
Q

generalisation

A

the application of the results from a study, to the wider target population

31
Q

qualitative data

A

non-numerical, subjective data, expressed in words. it allows researchers to develop an insight into participants opinions, feelings and thoughts.

32
Q

quantitative data

A

objective, numerical data that can be statistically analysed to reveal trends or patterns

33
Q

reliability

A

a measure of consistency between participants

34
Q

validity

A

refers to whether something is true or accurate

35
Q

order effects

A

where learning or boredom affects the second condition

36
Q

pilot study

A

a small-scale practice investigation carried out prior to the real investigation to identify potential problems with the design, method or analysis, so that amendments can be made

37
Q

why might a researcher use a pilot study for a questionnaire

A

if participants where confused by certain questions, they can be re-worded more clearly

38
Q

why might a researcher use a pilot study for an observational study

A

to see if they have missed out an important category on a behavioural checklist, or if the behavioural categories are not specific enough