research methods Flashcards

(38 cards)

1
Q

What is validity?

A

If the data provides a true and accurate description/picture

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2
Q

What is reliability?

A

When the experiment can be repeated and will produce the same results

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3
Q

What is representativeness?

A

The extent to which a sample mirrors the researcher’s target population and its characteristics

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4
Q

What is generalisability?

A

When the results can be applied to the rest of the population

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5
Q

What is objectivity?

A

The researcher does not get involved in taking part in the research and it is not affected by their behaviour

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6
Q

What is experimental method?

A

The manipulation of an IV to have an effect on the DV which is measured and stated in results

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7
Q

What is an aim?

A

A goal you want to accomplish in order to be successful and focus on what your trying to do.
A statement of the purpose of your investigation

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8
Q

What is an independent variable?
What is a dependent variable?

A
  • Things that are manipulated or changed
  • The variable that is measured
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9
Q

What is operationalising variables?

A

Giving a clear definition of what these variables are and how we are going to measure them

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10
Q

What is a hypothesis?

A

A precise, testable statement about the expected outcome of an investigation, specific statement, not a question

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11
Q

What is a experimental hypothesis?
What is a null hypothesis?
What is a directional hypothesis?
What is non directional hypothesis?

A
  • Predicts a relationship between variables
  • States that there will be no relationship
  • Predicts the direction in which change is expected to occur
  • Predicts change and does not specify direction
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12
Q

What is internal validity?
What is external validity?
What is control?

A
  • The extent that the variables you are manipulating cause the outcome
  • The extent that the study is an accurate representation of outside the study
  • Extent to which any variable is held constant by the researcher
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13
Q

What is mundane realism?
what is a confounding variable?
What is an extraneous variable?

A
  • How far the study mirrors the real world
  • A variable which varies systematically with the IV
  • Does not vary systematically with the IV
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14
Q

What is a pilot study?
What problems does a pilot study test for?
Why is a pilot study important?

A
  • Small scale trial run of research to test before researcher commits to the full research
  • Design, method, clarity of instructions, measuring instruments, measurements taken, allows a time scale
  • Problems can be rectified without an entire participant sample and a set of stimulus being wasted
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15
Q

What is a lab experiment?
Strengths of a lab experiment?
Limitations of a lab experiment?
Examples of a lab experiment?

A
  • Experiment in controlled conditions, researcher deliberately changes IV to see effect on DV, artificial environment
  • High control over extraneous variables, high control, replication
  • Lacks generalisability, low external/ecological validity, demand characteristics
  • Pavlov’s dogs, Baddeley memory experiments
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16
Q

What is a field experiment?
Strengths of a field experiment?
Limitations of a field experiment?
Examples of a field experiment?

A
  • Carried out in a natural setting, researcher manipulates IV to see effect on DV
  • Higher mundane realism, high external validity, high ecological validity
  • Loss of control of extraneous variables, ethical issues
  • Hofling (social influence), Schaffer and Emerson (attachment)
17
Q

What is a quasi- experiment?
Strengths of a quasi- experiment?
Limitations of a quasi- experiment?

A
  • IV is based on existing difference between people
  • High control, replication is possible
  • Cannot randomly allocate so may be confounding variables (affects DV)
18
Q

What is a natural experiment?
Strengths of a natural experiment?
Limitations of a natural experiment?

A
  • Researcher uses pre-existing IV, change in variable naturally occurs
  • Provides opportunity, high external validity
  • May only occur rarely, low generalisation, may not be randomly allocated
19
Q

What are case studies?
Strengths of case studies?
Limitations of case studies?

A
  • A detailed study of a specific subject such as a person
  • Detailed, rare scenarios
  • Generalisation, ethical issues
20
Q

What is experimental design?
What are two conditions you can have in an experiment?

A
  • Refers to how participants are allocated to the different conditions (or IV) in an experiment
  • Experimental condition, control condition
21
Q

What is independent groups design?
Strengths of independent groups design?
Limitations of independent groups design?

A
  • When 2 separate groups of ppts. experience two different conditions of the experiment
  • Order effects not a problem, ppts. less likely to guess the aim
  • Less validity, more expensive, more ppts. needed
22
Q

What is repeated measures design?
Strengths of repeated measures design?
Limitations of repeated measures design?

A
  • All participants experience both conditions of the experiment and results tested for differences
  • Ppt. variables controlled, fewer ppts. need, less time and money
  • Order effects
23
Q

What is matched pairs design?
Strengths of matched pairs design?
Limitations of matched pairs design?

A
  • Ppts. paired based in variables relevant to the experiment. One is matched to A one to B
  • Order effects and demand characteristics are less of a problem
  • Time consuming and expensive, less economical
24
Q

What is an interview?
What is a structured interview?
What is an unstructured interview?

A
  • A simple questionnaire which is being delivered in real time, either face to face or on the telephone
  • Pre-determined, standardised questions, no deviation from question is permitted
  • New questions develop through the course of an interview
25
What are the two types of data? What is primary data? What is secondary data?
- Qualitative, quantitative - Collected directly from first hand experiences, by the researcher for the purpose of the study being undertaken - Information collected for a purpose other than the current study. E.g. official statistics
26
What is quantitative data? Strengths of quantitative data? Limitations of quantitative data?
- Numerical data, larger sample size, less researcher training required - Cause and effect, easy to analyse, patterns and trends, reliable, precise - Easy to be biased, difficult to understand, may not explain complex issues
27
What is qualitative data? Strengths of qualitative data? Limitations of qualitative data?
- Uses language or context, rich in depth and detail, need to be highly trained - Less open to bias, cost effective, more detailed information - Difficult to analyse, time consuming, findings can't be generalised
28
Strengths of questionnaires? Limitations of questionnaires? Construction of questionnaires?
- Easy to distribute, easily collated, people may feel more open - Social desirability, lack of understanding- validity, bias - Clarity, bias, analysis
29
What is deception? What is confidentiality? What is privacy? What is right to withdraw? What is protection of participants? What is informed consent?
- Withholding some of the researcher aims - Keeping personal information private, safe and secure - The researcher should not invade a persons own privacy - A ppt. can withdraw from the research at any time for any reason - Ppts. should be protected both physically and psychologically - To reveal the true aims of a study, or at least informing ppts. of what will happen
30
Why do we carry out statistical tests?
- The results could have occurred by chance, difference between groups might not be big enough to be significant
31
When will a one tailed statistical test be used? When will a two tailed statistical test be used? When to use a sign test?
- When we have a previous indicative research - When we don't have previous research - When looking at paired or related data (matched pairs, repeated measures)
32
What is stratified sampling? Strengths of stratified sampling? Limitations of stratified sampling?
- Subgroups (strata) within population identified, taken from each strata according to occurrence in sample- randomly - Sample will be representative of the population - Very time consuming and difficult to complete
33
What is systematic sampling? Strengths of systematic sampling? Limitations of systematic sampling?
- Use whole population, decide an nth term and allocate each ppt. a number, select all ppts. who fall on the nth term - Should provide a representative and unbiased sample - Very difficult to achieve, not always truly random if the nth term isn't random
34
Strengths of the range? Limitations of the range?
- Easy to calculate - May be unrepresentative- takes two most extreme values
35
What is random sampling? Strengths of random sampling? Limitations of random sampling?
- Researcher has list of everyone in target population, uses random number generator or names in hat to select required amount of ppts. - Low chance of biased sample, improved population validity - Difficult to obtain list of entire population, representation is not guaranteed
36
What is opportunity sampling? Strengths of opportunity sampling? Limitations of opportunity sampling?
- Researcher selecta anyone who is readily available and willing to take part - Time efficient, ppts. readily available, sizes can be larger - Skewed ppts. background, lacks population validity, ethical issues
37
What is volunteer sampling? Strengths of volunteer sampling? Limitations of volunteer sampling?
- Ppts. put themselves forward, researcher places advert asking for volunteers - Can locate a particularly niche group of ppts. - Small sample size- people have to see the advert
38