Research Methods Key Terms Flashcards

(65 cards)

1
Q

Independent variable

A

The factor the experimenter manipulates

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2
Q

Dependent variable

A

The factor the experimenter measures

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3
Q

Aim

A

What the researcher intends to find out/investigate

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4
Q

Null hypothesis

A

There will be no effect of one variable on another

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5
Q

Hypothesis

A

Testable statement about what the researcher will find

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6
Q

Alternative hypothesis

A

There will be an effect of one variable on another

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7
Q

Experimental method

A

Where/how the study is conducted

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8
Q

Directional hypothesis

A

Predict whether one variable causes an increase or decrease in another variable

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9
Q

Non-directional hypothesis

A

When a cause is predicted

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10
Q

Operationalisation

A

Turning abstract concepts into measurable observations

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11
Q

Extraneous variables

A

A general term for any variable, other than the IV, that might affect results (DV)

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12
Q

Laboratory experiment

A

An artificial and sterilised controlled environment

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13
Q

Field experiment

A

Any location outside of a laboratory (place where it would naturally occur)

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14
Q

Natural experiment

A

The researcher investigates an existing/naturally occurring IV and its effect in the DV

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15
Q

Quasi experiment

A

Investigate the effects of a naturally occurring IV (amongst people) which already exists e.g. gender

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16
Q

Mundane realism (ecological validity)

A

How much the study environment reflects the real-world environment

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17
Q

Internal validity

A

How controlled the environment is, if we can be certain only the IV has caused changes in the DV

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18
Q

Reliability

A

If the study can be repeated easily to test if others can find similar results

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19
Q

Experimental design

A

How you split participants into the experimental conditions

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20
Q

Independent measures

A

The sample is split into 2 groups , each group does 1 condition each

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21
Q

Repeated measures

A

1 group does both conditions

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22
Q

Matched pairs

A

Participants are matched on a similar trait e.g. IQ,Age They are then split into 2 conditions

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23
Q

Sampling method

A

How you enlist participants to take part in the study

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24
Q

Sample

A

Group of participants in a study

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25
Representative
If the sample represents the target population
26
Target population
The group which the researcher wishes to study and that their findings should relate to
27
Overt observation
Participants are aware they are being observed
28
Covert observation
Observing a person without them knowing
29
Participant observation
The observer takes part e.g Supernanny
30
Non-participant observation
The observer does not take part
31
Naturalistic observation
An observation of natural behaviour in a natural environment
32
Controlled observation
In a controlled environment such as an observation room
33
Structured observation
The use of behavioural categories, a pre-agreed list of what they are observing
34
Unstructured observation
Every behaviour being observed and recorded in as much detail as possible
35
Semi-structured interview
Consists mostly of pre-prepared questions but the interview can ask additional questions and deviate from the ‘script’
36
Case study
The in-depth study of an individual or small groups life, it can be done at one point in time or longitudinally where the researcher follows them for many years so they can establish patterns and notice changes
37
Open question
Allows participants to answer however they wish
38
Closed question
Restrict participants to a pre-determined response e.g. yes or no
39
Likert scale
Where participants rate in a scale
40
Ranking scale
When participants rank a list in their preferred order
41
correlation
A mathematical technique in which a researcher investigates an association between two variables, called co-variables
42
Correlation co-efficient
Used to measure the strength and nature (positive or negative) of the relationship between two co-variables
43
Quantitative data
Numerical data that can be statistically analysed and displayed in a graphical format
44
Qualitative data
Non-numerical language based data expressed in words
45
Primary data
Data collected by the researcher themselves for a specific reason
46
Secondary data
Data collected by another researcher (data that already exits) which is used by the researcher
47
Meta-analysis
A research paper that combines all studies on a specific topic to analyse patterns and trends
48
Measures of central tendency
Calculates the central most typical value in a set of data
49
Mean
The average of the data set
50
Median
The middle value within the data set
51
Mode
The value that appears the most frequently
52
Measures of dispersion
Descriptive statistics which define how the data is spread around a central value (mean)
53
Range
The spread of data from the lowest to the highest value
54
Standard deviation
How far scores deviate from the mean
55
Structured interview
Questions are decided in advance and every respondent is asked the same questions each time
56
Unstructured interview
Very little is decided in advance,the interviewer asks questions based on the respondents answers
57
5 ways of presenting quantitative data
Summary table, bar charts, line graphs, histograms, scattergrams
58
Positive skew
Most of the distribution is concentrated to the left of the graph
59
Negative skew
Most of the distribution is concentrated towards the right of the graph
60
Skewed distribution
The distribution of scores is asymmetrical
61
Where is the mode on a skewed graph?
Most frequent so it’s at the highest point
62
Where is the median on a skewed graph?
At the centre,in between the mean and the mode
63
Where is the mean on a skewed graph?
Shifted towards the outlier on the long tail
64
Discrete data
Categories that don’t overlap and data that is countable (distinct)
65
Continuous data
Values that increase over a range