Research methods Y2 Flashcards

(57 cards)

1
Q

Define ‘correlation’

Correlations

A
  • Refers to a mathematical technique which measures the relationship between two continuous variables
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1
Q

What is a case study?

Case studies and content analysis

A
  • An in-dept investigation, description and analysis of a single individual, group, insitution or event.
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2
Q

What are some features of case studies?

Case studies and content analysis

A
  • Produce qualitative data
  • psychologists may conduct a case history of the individual concerned using investigation methods
  • longitudinal
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3
Q

What is content analysis?

Case studies and content analysis

A
  • A type of observational research in whic people are studied indirectly via communications they have produced
  • Aim is to summarise and describe communication in a systematic way

E.g books, TV programmes, magazines, conversations

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4
Q

Describe coding.

Case studies and content analysis

A
  • coding sets of data into meaningful units so analysis is easier.
  • may involve writing a tally every time a particular word or phrase appears in a situation
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5
Q

What is thematic analysis?

Case studies and content analysis

A
  • A form of content analysis but the outcome is qualitative
  • Involves identification of themes
  • researchers collect a new set of data to test validity of themes
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6
Q

What is a theme?

Case studies and content analysis

A
  • Any idea, explicit or implicit, that is recurrent
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7
Q

What is nominal data?

Choosing a test

A
  • Data is represented in the form of categories
  • Discrete
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8
Q

What is ordinal data?

Choosing a test

A
  • Data is ordered in some way
  • No equal intervals
  • lacks precision as its based on subjective opinion
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9
Q

What is interval data?

Choosing a test

A
  • Based on numerical scales that include units of equal, defined size
  • more detail is preserved
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10
Q

When would you use a one/ two tailed test?

Significance

A
  • One= if hypothesis was directional
  • Two= non-directional hypothesis
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11
Q

When might a significance level of 0.01 be used?

Significance

A
  • In studies where there may be a human cost
  • E.g drug trials
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12
Q

What is a type 1 error?

Significance

A
  • Accepting the alternative hypothesis when you should’ve accepted the null
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13
Q

What is a type 2 error?

Significance

A
  • When the null hypothesis is accepted when the alternative should’ve been
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14
Q

How can we reduce type 1+2 errors?

A

Increase the power of your statistical test by increasing the sample size, the significance level

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15
Q

Name a strength of case studies

A
  • offer rich and detailed insights that may shed light on unusual behaviours
  • contribute to our understanding of typical functioning for example HM- separate STM and LTM
  • may generate hypotheses for future study and solitary
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16
Q

Name a limitation of case studies

A
  • generalisation
  • unqiue circumstances
  • small sample size is unlikely to be representative of the population
  • info that makes it into final report may be subjective
  • personal accounts are prone to memory decay or inaccuracy
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17
Q

What is one strength of content analysis?

A
  • circumnaivgates around ethical issues
  • data that is used is secondary, already in public domain
  • no problem gaining consent from author
  • high in external validity
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18
Q

What is a limitation of content analysis?

A
  • people tend to be studied indirectly
  • analysed outside of the context in which they happened
  • may attribute opinions and motivations that were not intentional
  • however researchers offer reflexivity where they reflect on issues within research, doesn’t remove them
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19
Q

Why would we use mann-whitney?

A
  • Unrelated
  • Ordinal
  • Indepedent groups
  • looking for a difference between two groups
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20
Q

Why would we use wilcoxon?

A
  • looking for a difference before and after
  • repeated measures
  • ordinal
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21
Q

Why would we use an unelated T-test?

A
  • Interval data
  • difference between two sets of data
  • independent groups
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22
Q

Why would we use a related t-test?

A
  • repeated design
  • difference before and after (same group)
  • interval data
23
Q

When would we use spearman’s rho?

A
  • correlation between two sets of values
  • ordinal level
24
When would we use chi-squared?
- data is nominal - test of difference or association - independent groups
25
Define reliability | Reliability
Refers to the consistency of the findings from an investigation/ test
26
Why is reliability important in psychology? | Reliability
It is difficult to trust the findings of a test or procedure if it is inconsistent and produces different results every time Ensures stability of results across different contexts
27
How is test-retest used? | Reliability
- Administering the same test or questionnaire to the same person on different occasions - If it is reliable then the data will be the same - Must be sufficient time between test and retest to ensure that the participant cannot recall previous answer - Two sets of scores are then correlated
28
How do we use inter-observer in investigations? | Reliability
- Watch the same event usually in teams of 2 but record data independently - May do a pilot study to ensure that the behavioural categories are properly established - operationalise behavioural cats - ensure that they are applying behavioural cats in the same way
29
How is a correlation coefficient caluclated? | Reliability
- Divide total no of agreements by total no of values - Between 1 and -1 - +1 is a strong positive correlation - -1 is a strong negative correlation
30
When is data reliable according to correlation coefficients? | Reliability
At +0.8 or above
31
Why does low reliability occur in test retest? | Reliability
- Certain variables are hard to measure - Questions may be too vague - P’s may not have answered truthfully
32
Why does low reliability occur in inter rater? | Reliability
-Behavioural categories have not been operationalised - Researcher bias - Practical issues (obstructed views, dim lighting)
33
How is reliability improved in: questionnaires | Reliability
- Some items which produce low reliability should be rewritten or deleted - Replace some open questions with closed, fixed choice questions to reduce ambiguity
34
How is reliability improved in: interviews | Reliability
- Use same interview each time - Dont ask leading questions/ ambiguous questions - Avoided by using structured interviews
35
How might reliability be improved in observations? | Reliability
- Making sure that behavioural categories are properly operationalised - Categories should not overlap - If not, observers will have to make their own judgements and may end up with differing, inconsistent reports
36
Give one way in which reliability can be improved in experiments. | Reliability
- Standardisation
37
What are key things we should consider when choosing a statistical test? | Choosing a statistical test
1. Difference or correlation 2. Experimental design (independent, matched pairs, repeated measures) 3. Levels of measurement (nominal, ordinal, interval)
38
What does it mean if something is of 5% significance? | Probability and significance
- This means that the probability that the observed effect occurred when there is no effect in the population is equal to or less than 5%.
39
Define significance level | Probability and significance
- The point at which the researcher can claim to have discovered a large enough difference or correlation wthin the data to claim an effect has been found
40
What are the 6 features of a scientific report? | Reporting psychological investigations
1. Abstract 2. Introduction 3. Method 4. Results 5. Discussion 6. Referencing
41
Briefly describe what an abstract is | Reporting psychological investigations
- 150-200 words in length that includes all the major elements in the research
42
What is an introduction? | Reporting psychological investigations
- a literature review of the general area of research detailing relevant theories, concepts and studies that are related to the current study
43
What is a method and what are some features? | Reporting psychological investigations
- Sufficient detail so researchers can replicate 1. Design 2. Sample 3. Apparatus 4. procedure 5. ethics
44
What is validity? | Validity
The extent to which an observed effect is accurate
45
What is internal validity? | Validity
Refers to the factors inside the investigation such as if the researcher has measured what they intended to measure (if the effects are due to the IV and not a third variable)
46
What are extraneous variables? | Validity
Unwanted variables other than the IV that may affect the DV
47
Give some examples of extraneous variables | Validity
- Temperature - intelligence - anxiety - bias - unconscious influences - Demand characteristics
48
How can we control extraneous variables? | Validity
1. Standardisation 2. Random allocation 3. change research design 4. training 5. instruction to reduce bias
49
What is a counfounding variable? | Validity
Any variable that varies systematically with the IV and has affected the DV
50
What is external validity? | Validity
The type of validity relates to factors outside or beyond the investigation. Also the extent of generalisation
51
What is ecological validity? | Validity
The extent to which the findings can be generalised to other settings
52
What is temporal validity? | Validity
The extent to which the findings can be generalised to other eras/ times.
53
What is ecological validity similar to? | Validity
Mundane realism - the extent to which an experimental task mirrors task that you would do IRL
54
Name 2 ways of assessing validity. | Validity
Face validity= if it measures what it is supposed to, eyeball it or pass to an expert to check Concurrent validity= the extent to which a psychological measure relates to an existing measure.
55
How can validity be improved in experiments? | Validity
- Control group (assess the effect of IV) - standardise - single/ double blind trials
56
Explain how validity can be improved in questionnaires and observations | Validity
Q= a lie scale, assesses consistency of response, control effects of social desirability bias O= high ecological validity due to minimal intervention, behavioural categories that are operationalised