Research Methodology Flashcards

(49 cards)

1
Q

Null hypothesis

A

No relationship between variables. One does not affect the other

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2
Q

Experimental hypothesis

A

There is a relationship between the variables. One affects the other.

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3
Q

One tailed experimental hypothesis

A

predicts nature of IV on DV

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4
Q

Two tailed experimental hypothesis

A

IV will have an effect on DV, but direction not stated

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5
Q

IV

A

Independent variable. What the researcher changes

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6
Q

Example of an IV?

A

quantity of drug given

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7
Q

DV

A

Dependent variable. What the research measures

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8
Q

Example of a DV?

A

Time taken to complete a task

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9
Q
  • Where are lab experiments conducted?

- What does this allow for?

A
  • In a well-controlled environment

- Accurate measurements

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10
Q

What does the researcher decide in a lab exp.? (3)

A
  • Where exp. will take place
  • Which P’s will be involved
  • What circumstances exp. will be under
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11
Q

What sort of procedure is used in a lab exp.?

A

A standardised procedure.

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12
Q

examples of lab experiments? (2)

A
  • Asch

- Mori and Arai

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13
Q

What are the 3 kinds of experimental method?

A
  • Laboratory
  • Field
  • Natural
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14
Q

Where are natural experiments conducted?

A

In the everyday environment of P’s

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15
Q

Does the experimenter have control over the IV in a natural exp.? explain.

A

No, because it occurs naturally in real life

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16
Q

Where are field experiments conducted?

A

In the everyday environment of P’s

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17
Q

Does the experimenter have control over the extraneous variables in a field exp.? explain.

A

Not high control, because IV manipulated in real-life setting.

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18
Q

example of a field experiment?

A

Waiting room experiment

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19
Q

extraneous variables?

A

outside variables that cannot be controlled by the experimenter and affect the results of the study

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20
Q

Operational variables?

A

How you will define and measure a specific variable as it is used in the study.

21
Q

Target population

A

The group of people studied.

22
Q

Sample

A

A group of people chosen from the target population to be studied

23
Q

What 2 things must a sample be?

A
  • Representative of the target population

- Unbiased

24
Q

What must the people in the sample be?

A

As varied as much in characteristics and behaviours as those in the target population.

25
Random sampling?
Every member of the target population has equal chance of being selected
26
Advantage of random sampling?
For very large samples it is the best chance of an unbiased representative sample.
27
Disadvantage of random sampling?
Time consuming if very large population is used
28
Stratified sampling?
Dividing the target population into important subcatagories
29
Advantage of stratified sampling?
Deliberate effort made to make it representative
30
Disadvantage of stratified sampling?
Can be time consuming
31
Volunteer/self-selecting sampling?
Using individuals who have chosen to take part in the study
32
Advantage of volunteer/self-selecting sampling?
Convenient and ethical if it involves conformed consent
33
Disadvantage of volunteer/self-selecting sampling?
Can be unrepresentative
34
Opportunity sampling?
Selecting people available at the time
35
Advantage of opportunity sampling?
Quick, convenient and economical
36
Disadvantage of opportunity sampling?
Very unrepresentative samples, often bias by researcher who subconsciously selects people who are 'helpful'
37
Quota sampling?
The researcher decides what categories they want to represent
38
Advantage of quota sampling?
Helps ensure small minority groups are represented
39
Disadvantage of quota sampling?
Not always representative as proportions of small groups are distorted- must be combined with another method.
40
Systematic sampling?
People are selected at fixed intervals from target population
41
Advantage of systematic sampling?
Generally representative, avoids researcher bias
42
Disadvantage of systematic sampling?
Some people may be excluded if list is incomplete
43
Experimental design?
A set of procedures used to control the influence of participant variables in an experiment
44
Independent groups
participants are divided into 2 or more groups, each group with a different experimental condition.
45
How are participants sorted into independent groups?
By random allocation
46
Repeated measures
Each participant takes part in every condition under test
47
Matched pairs design
Pairs of participants are matched in terms of key variables, 1 member of each pair is placed into the experimental group, the other into the control group
48
Give 2 examples of key variables
IQ, age
49
Participant variables?
Characteristics of participants that may affect the outcome of the study