Research Methods Flashcards

1
Q

Define Hypothesis

A

A clear statement, showing the relationship between variables to be investigated. (a prediction)

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2
Q

Three types of Hypothesis:

A

Directional Hypothesis
Non-Directional Hypothesis
Null Hypothesis

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3
Q

Define Directional Hypothesis

A

When a researcher has a good idea what is going to happen, and predicts a specific outcome

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4
Q

Define Non-Directional Hypothesis

A

When the researcher is less sure what is going to happen, and wont state the direction. They will predict more general outcome

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5
Q

Define Null Hypothesis

A

When the researcher is confident there will be no relationship between the variables that are being investigated

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6
Q

An Independent Variable is…

A

What the researched manipulates

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7
Q

A Dependent Variable is…

A

What the researcher measures

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8
Q

An Extraneous Variable is…

A

any variables other than the IV which may effect the DV (found when planning the experiment)

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9
Q

Participant Variables are…

A

down to the individual e.g. age, weight, height, health

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10
Q

Situational Variables are…

A

down to the surrounding

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11
Q

Confounding Variables are…

A

any variable other than the IV which may effect the DV (found after getting results)

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12
Q

4 Ethical issues:

A

Protection from Harm
Informed Consent
Deception
Confidentiality

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13
Q

Why is Protection from Harm an ethical issue?

A

Psychologists have a responsibility to protect their participants from physical and emotional harm. Participants should not be exposed to more risk than they would expect from everyday life

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14
Q

Why is Informed Consent an ethical issue?

A

Participants should always agree to take part in a study.

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15
Q

Why is Deception an ethical issue?

A

Participants should know exactly what is involved before they agree. Researchers should not withhold any information

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16
Q

Why is Confidentiality an ethical issue?

A

Participants should feel confident they will remain anonymous.

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17
Q

Experimental design: (3)

A

Independent Groups
Repeated Measures
Matched Pairs

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18
Q

Define the independent groups design

A

Where two different groups of participants experience two difference conditions of an experiment and they results are compared

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19
Q

Define the repeated measures design

A

When all participants take part in both conditions and their data can be compared

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20
Q

Define the Matched pairs design

A

when you match two very similar people, put one in each group and compare their results to each other

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21
Q

Demand Characteristics are…

A

if the participants figured out the real purpose of the investigation, and may act differently to alter results.

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22
Q

Investigator effects are…

A

any effect of the investigators behavior that may effect results

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23
Q

How to control variables: (5)

A
Randomisation
Standardisation
Counterbalancing
Single-Blind Procedures
Double-Blind procedure
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24
Q

What is randomisation

A

randomly generate everything (eg. order of people)

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25
Q

What is standardisation

A

using the same standard procedures for all participants

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26
Q

Single-Blind Procedure

A

Participant is not told the aim of the research

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27
Q

Double-Blind Procedure

A

neither participant nor the research conductor are aware of the aims of the investigation.

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28
Q

The Different types of sampling: (5)

A
Random Sampling 
Systematic Sampling
Stratified Sampling
Opportunity Sampling
Volunteer Sampling
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29
Q

Define Random Sampling

A

Where all members of the target population have an equal chance of being selected

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30
Q

Define Systematic Sampling

A

When every nth member of the target population is selected

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31
Q

Define Stratified Sampling

A

Where the sample reflects the proportion of people in certain subgroups within target population (subgroup e.g. gender)

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32
Q

Define Opportunity Sampling

A

Where the researcher selects anyone who happens to be willing and available

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33
Q

Define Volunteer Sampling

A

Where participants select them-self from an advert

34
Q

Define Target Population

A

A group of people who are the focus of the researchers interest. Where the sample is drawn from

35
Q

4 types of experiment:

A

Laboratory Experiment
Field Experiment
Natural Experiment
Quasi Experiment

36
Q

Laboratory Experiment:

A
  • High control
  • Easy to repeat
  • High internal validity
  • May lack generalisation
37
Q

Field Experiment:

A
  • In a natural more everyday setting

- High external validity

38
Q

Natural Experiment:

A
  • Pre-existing

- High external validity

39
Q

Quasi Experiment:

A
  • Based on existing difference between people (eg. gender)
40
Q

Define a covert observation

A

Where the participant is unaware they,re being observed

41
Q

Define a overt observation

A

Where the participant is aware they’re being observed

42
Q

Define Participant observation

A

Where the researcher is with the participants

43
Q

Define non-participant observation

A

Where the researcher remains separate from participants

44
Q

What is a self report technique

A

Any method in which a person is asked to state or explain their own feelings, opinion and behaviours

45
Q

What’s the difference between a questionnaire and an interview

A

Questionnaire - writing

Interview - speaking

46
Q

Advantage of a questionnaire over interview

A

Participant may be more honest as they won’t feel judged sitting infront of someone

47
Q

Advantage of an interview over questionnaire

A

Researcher can ask follow up questions or if something doesn’t make sense

48
Q

Why are closed questions good

A

Straight to point
Clear
specific

49
Q

Why are open questions good

A

More detail

Get more of an in-site

50
Q

Strengths of a questionnaire

A
  • cost effective
  • quick to get data
  • cheap
  • easy to analyse
51
Q

Weakness of questionnaire

A

-may not be truthful due to social desirability bias

52
Q

What is an open question

A

Does not have a fixed answer, allows participant to talk

Used to produce qualitative data

53
Q

What is a closed question

A

Offer a range of responses and that’s it

Produces quantitive date

54
Q

What is a unstructured interview

A

Works like a conversation
No set questions
General aim

55
Q

Positive of unstructured interview

A

A lot more flexibility

Interviewer can ask follow up questions if needed

56
Q

Negative of unstructured interviews

A

Harder to collect data as a lot of unwanted data

Participants may lie for social desirability

57
Q

What is a structured interview

A

Pre determined set of questions Asked in a fixed order

58
Q

Strengths of structured interviews

A

Easy to replicate

Reduced difference between interviews

59
Q

Weakness of structured interviews

A

The researcher may deviate from the topics

60
Q

What is a semi structured interview

A

There is a list of questions to ask, however the interviewer is allowed to ask more

61
Q

What happened to HM

A
  • cracked his head, often had seizers
  • removed part of his brain which stopped seizers but also stopped his memory
  • was given task of drawing star. Improved each time, but couldn’t remember doing it
62
Q

Key discovery’s from HM:

A
  • Short term memory and long term memory occur in different parts of the brain
  • procedural memory’s are different to fact memory’s
63
Q

Some strengths of case studies

A
  • can find rare information

- expands knowledge

64
Q

Limitations of case studies

A
  • individualistic therefore hard to generalise

- rate to occur

65
Q

What is a case study

A

An in-depth investigation, description and analysis of a single individual group, or event

66
Q

What is content analysis

A

Technique used for analysing qualitative data into quantitative data

67
Q

Steps to content analysis

A

1) read/watch information
2) identify certain categories that emerge (coding)
3) give examples of categories
4) re read/watch and count number of examples that fall into each category to create quantitative data

68
Q

Strength of qualitative data

A

Provides a lot of detail

Gives more information

69
Q

Limitation of qualitative data

A

Can be interpreted differently

Cause confusion

70
Q

Strength of Quantitative data

A

Easy to understand as in numbers
Easy process
Saves time

71
Q

Limitation of Quantitative data

A

Not provide a lot of detail

Vague

72
Q

Directional hypothesis for a correlation

A

There will be a positive/negative correlation between ________ and ________

73
Q

Non directional hypothesis for correlation

A

There will be a correlation between _________ and _________

74
Q

What are the three measures of central tendency

A
  • mean
  • median
  • mode
75
Q

Measures of dispersion analyse….

A

How spread out scores are from the average

76
Q

What is standard deviation

A

How much the scores deviate from the mean

77
Q

A large standard deviation score shows…

A

There is a lot of variation

78
Q

A small standard deviation score shows…

A

There is more consistency

79
Q

A normal distribution will be a

A

Bell shaped curve

Mode, median, mean all in middle

80
Q

In A positive screw…

A

most of distribution will be on the left
Mode
Median
Mean

81
Q

In a negative skew

A

most of distribution will be on the right
Mean
Median
Mode