Research methods Flashcards

1
Q

What is an aim

A

A general statement covering the topic /theory/concept that will be investigated

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2
Q

Hypothesis

A

A testable statement written as prediction of what the researcher expects to find and states the relationship between the IV and DV

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3
Q

Two types of hypothesis

A
  • Directional hypothesis
  • Non directional hypothesis
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4
Q

Directional hypothesis

A

Directional hypothesis predicts the direction of the difference in conditions.
It states that one condition will out perform the other

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5
Q

Non directional hypothesis

A

Does not predict the direction of the difference in condition
- Predicts a difference in conditions will be shown. EG: There will be a difference in this and that

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6
Q

Null hypothesis

A

The researcher assuming there bill be no difference between conditions

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7
Q

What is a variable

A

Anything that can vary (time to perform task,memory,attention)

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8
Q

What is a true experiment

A

Must be a control condition and an experimental condition and ppts must be randomly assigned to conditions

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9
Q

Why does a researcher manipulate the IV

A

To test its effect on the dependent variable

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10
Q

What is an independent variable

A

Manipulated by the researcher or changes naturally

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11
Q

What is the level of the IV

A

The number of different versions of the IV there are in the experiment a

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12
Q

What is a dependent variable

A

Measured by researcher. Any effect on DV should be caused by changes in the IV

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13
Q

How do you test the effect of the IV

A
  • Control condition
  • Experimental condition
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14
Q

What is the control condition

A

It provides a baseline measure of behaviour without experimental treatment

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15
Q

What is the experimental condition

A
  • When theres been researcher manipulation.
  • The condition in which the researcher is particularly keen to see if a difference in behaviour has occurred
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16
Q

Operationalising variables

A

Clearly defining variables so they can be measured
- To operationalise the IV it needs to be broken down into separate conditions)
- To operationalise DV the researcher needs to design a procedure

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17
Q

Extraneous variables

A

Any variable that affects the DV other than the IV
EG: time, mood, temperature, noise

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18
Q

Confounding variables

A

A specific type of extraneous variable that influences both the IV and DV in a way that makes it unclear which one is causing the effect

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19
Q

Directional hypothesis (one-tailed)

A

Researcher makes it clear what sort of difference or relationship that may be seen in 2 conditions
- May use ‘less’ ‘more’ ‘higher’ or ‘lower’

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20
Q

Non directional hypothesis (two-tailed)

A

Used when there has been no previous research to suggest what direction the research will go in.
- Researcher claims theres a difference/ relationship but outcome isn’t mentioned

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21
Q

Lab experiments

A
  • Highly controlled environment
    Not always in a lab
  • Considered a true experiment
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22
Q

Field experiments

A
  • IV is manipulated in natural setting
  • Conducted in a real life setting.
    EWT study
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23
Q

Natural experiment

A
  • Researcher has no control over IV and cannot change it, would’ve still been happening whether research done or not
  • IV is natural, not the setting
24
Q

Quasi experiment

A
  • IV is based on existing differences between ppl (age,gender,mental disorder) and can’t be changed
  • NOT A TRUE EXPERIMENT.
25
Demand characteristics
Cues in the environment that might reveal purpose of study to ppts which cause them to change their behaviour - screw u or please u effect
26
Investigator effect
When the researcher unintentionally influences the outcome of the study by interactions w ppts
27
Ways of minimising extraneous/confounding variables
- Randomisation - Standardisation - Single & double blind
28
What is randomisation
The use of chance in order to control bias the researcher might have. Randomly generating names from a hat
29
What is standardisation
Using exactly the same procedures for all ppts, such as the same environment, instructions and experiments Makes results more reliable and valid
30
Single blind procedure
When the ppt is unaware of details of the experiment. Eg: aim or conditions Controls demand characteristics
31
Double blind procedure
Nether the participant nor the researcher are aware of the aims of the investigation Controls demand characteristics & investigator effect
32
What is validity
How accurate and representative the results are. - There’s internal and external validity
33
Internal validity
Whether the results are due to manipulation of the IV and not affected by the confounding variables
34
External validity
The extent to which the results can be generalised to other settings - temporal & ecological validity
35
Temporal validity
Refers to how well we can generalise the results across different periods of time
36
Ecological validity
Whether the experimental results can be generalised to their settings from artificial settings to real life environments.
37
Reliability
Refer to how consistent the results are . If the result is repeated and has similar results the its reliable
38
Internal reliability
The extent to which a test is consistent within itself . - eg: if someone was doing questionnaire on obedience they should have the same score on each question for it to be considered to have internal reliability
39
External validity
The extent to which a test is consistent overtime. - eg: if someone achieved 120 on IQ test nd they were testes again in 8 months, we would expect them to achieve the same results.
40
Experimental design
How the ppts in an experiment will be used
41
Matched pairs design
Where ppts are first matched based on similar participant variable (eg: IQ), then one member is assigned to condition A and the other assigned to condition B
42
Limitations of matched pairs design
- its time consuming - its impossible to match ppl on every exact characteristic
43
strengths of matched pairs design
- order effects are avoided - demand characteristics are less likely - ppt variables are reduced increasing internal validity
44
independent groups design
When the researcher allocates different ppts to each group but doesn’t match them for any variable
45
How does researcher control participant variables that could occur
random allocation
46
Strengths of independent groups design
- no order effects - no demand characteristics as ppts only take part once
47
Limitations of independent groups design
- participant variables may affect results - large amount of ppts are needed
48
Repeated measures design
When all the ppts take part in both conditions
49
What is the order effects
when the order of the experimental conditions influence the result of the study.
50
Limitation of a repeated measures design
- there are order effects (ppts may figure out aim cause task is done twice or become bored ) - demand characteristics are likely as ppts know the aim of study
51
How do you deal with order effects
COUNTERBALANCING
52
What is counterbalancing
- When half the ppts take part in condition A then B, then the other half take part in condition B then A (ABBA)
53
Pilot study
A small scale trial run of the actual investigation - to check the procedures, materials work and instructions are clear
54
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Benefits of pilot study
- cost effective - identifying flaws in study
56
Peer