Research methods year 1 - Flashcards

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1
Q

What is the IV and the DV?

A
Independent variable (the one the change)
Dependent variable (the one you measure)
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2
Q

What are the 4 types of experiments?

A

Lab (in a laboratory, researcher manipulates IV)
Field (in a natural environment, researcher manipulates IV)
Natural (in natural environment, research does not manipulate IV)
Quasi (in natural environment, nothing manipulated)

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3
Q

What are the pros and cons of a lab experiment?

A

+ easy to replicate (standardisation)
+ clear cause and effect
+ controlled
+ minimises extraneous variables

  • lacks mundane realism
  • investigator bias
  • lacks ecologically validity
  • demand characteristics
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4
Q

What are the pros and cons of a field experiment?

A

+ ecological validity
+ cause and effect

  • less control
  • extraneous variables
  • more difficult to replicate
  • ethics (consent, deception, invasion of privacy)
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5
Q

What are the pros and cons of a natural experiment?

A

+ ecological validity (studies ‘real’ problems)
+ allows to investigate areas which would be unethical to artificially create.

  • no cause and effect
  • extraneous variables
  • unrepeatable
  • ethics
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6
Q

What are the pros and cons of a quasi experiment?

A

+ valid (participants aren’t often aware they are being studied)
+ ecological validity

  • no cause and effect
  • control
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7
Q

What are the 2 types of observation?

A

Controlled (allows some control over environment, to influence variables)
Naturalistic (behaviour observed in environment which it would normally occur, no control over variables)

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8
Q

What are the other variations within these types of observation?

A

Participant (join group) or non - participant (remain outsider)
Covert (undercover) or overt (participants know they are being observed)

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9
Q

Evaluation of these types of observation?

A

controlled:
+ control of extraneous variables
- demand characteristics

naturalistic:
+ high ecological validity
- extraneous variables

participant and non - participant:
p + high external validity - research may ‘go native’.
np + objective - less insight

covert and overt
c + no demand characteristics - ethics
o + objective - demand characteristics

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10
Q

What are the 2 types of self report techniques?

A

Questionnaire (open and closed questions)

Interview (structured and unstructured)

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11
Q

Evaluation of questionnaires?

A

+ easy to distribute
+ easy to analyse
+ quantitative or qualitative data

  • social desirability bias
  • leading questions
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12
Q

Evaluation of interviews?

A

+ detailed information
+ acknowledges individual
+ unstructured means questions can be developed

  • time consuming
  • interviewer effects
  • social desirability bias
  • rapport needed
  • difficult to analyse if unstructured
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13
Q

What is a correlation?

A

A way of establishing a relationship between two variables and the strength of it.
There is no IV or DV and you analyse the relationship on a scatter graph or calculating correlation coefficient.

2 types of correlation:
Positive (as one variable rises, so does the other)
Negative (as one variable rises, the other falls)

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14
Q

Evaluation of correlations?

A

+ measures strength of relationship (precise quantitative data)
+ value exploratory research (helps unravel complex relationships)

  • impossible to establish cause and effect.
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15
Q

What is the difference between a directional and non - directional hypothesis?

A

Directional states the kind of difference you will find between 2 conditions.
Non - directional simply states there will be a difference.

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16
Q

What is random sampling and the pros and cons of it?

A

A method of sampling which gives everyone an equal opportunity of being picked e.g. pulling names out of a hat)
+ reasonable chance of getting a representative sample
- small minority groups within target group may distort findings.
- it can be impossible to be completely random.

17
Q

What is systematic sampling and the pros and cons of it?

A

A method of sampling which is systematic e.g. every fourth person on a list.
+ offers unbiased chance of getting representative sample.
- if list is not random, selection could be bias.

18
Q

What is stratified sampling and the pros and cons of it?

A

When the sampler divides target group into sections, each showing a key characteristic. Then each section is sampled individually.
+ should create representative sample.
+ avoids misrepresentation sometimes caused by random sampling.
- takes more time and resources
- can cause bias if not done carefully

19
Q

What is opportunity sampling and the pros and cons of it?

A

Participants who are available and willing to take part are targeted.
+ easy and cheap
- sample could not be representative and bias.

20
Q

What is volunteer sampling and the pros and cons of it?

A

Sample consists of people who have volunteered.
+ often achieves large sample size as it reaches a wide audience.
- may attract particular type of person so sample may become unrepresentative.

21
Q

What are the 3 types of experimental design?

A

Repeated measures - Same P’s are used in both conditions.
Independent groups - P’s are randomly allocated to either condition.
Matched pairs - Pairs of P’s are closely matched and then randomly allocated to either condition.

22
Q

What are the pros and cons of repeated measures?

A

+ avoids problem of participant variables
+ fewer people needed.

  • order effects
  • demand characteristics in second condition mainly
23
Q

What are the pros and cons of independent groups?

A

+ avoids order effects
+ less demand characteristics

  • more people are needed
  • differences between P’s in groups may affect results (participant variables)
24
Q

What are the pros and cons of matched pairs?

A

+ reduces participant variables
+ avoids order effects

  • time consuming
  • more P’s needed
25
Q

What are the 3 types of observational design?

A

Behavioural categories - specific about types of behaviours you want to observe.
Event sampling - observing just one specific event
Time sampling - record behaviours within specific time frame.

26
Q

What does it mean to operationalise variables?

A

Making it so that the IV and DV can be measured, making it specific, so the study is repeatable.

27
Q

What are extraneous variables?

A

Any other variable which may affect the DV (other than the IV). (Nuisance variables)
This makes the results less reliable.

28
Q

What are demand characteristics?

A

When the subject pick up cues during the experiment and modify their behaviour, therefore possibly altering the results.
This can be reduced by doing and single or a double blind study.

29
Q

What are ethical issues in psychology research? 6

A
  • Consent (informed consent needed)
  • Deception (have participants been deceived?)
  • Debriefing (P’s need to be told exactly what will happen within experiment, if possible)
  • Right to withdraw (P’s must be able to withdraw from study at any point)
  • Confidentiality (P’s information kept secret)
  • Protection from harm (P’s must be protected from physical or mental harm)
30
Q

What is primary data and secondary data?

A
Primary = first hand
Secondary = second hand
31
Q

What are the limitations of primary data?

A

Cost
Time consuming
Not always feasible

32
Q

What are the strengths of primary data?

A

Valid - looking at what the researcher intended.

Scientific/reliable - objective methods and carefully carried out.

33
Q

What are the strengths of secondary data?

A

Quick
Cheap
Good basis for comparison

34
Q

What are the weaknesses of secondary data?

A

May not be relevant to subject - less valid.
May not be quality research
Incomplete information
May be out of date