Chapter 2 - Personality Research Methods Flashcards

1
Q

What is psychology’s emphasis placed on?

A

Seeking new knowledge

- learn how to explore the unknown (through research)

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2
Q

What is Funder’s second law?

A

There are no perfect indicators of personality (the psychological triad can give us clues)

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3
Q

What is Funder’s third law?

A

Something beats nothing

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4
Q

What is S-Data?

A

self report or self-judgements

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5
Q

Describe S-Data

A
  • questionnaires or surveys
  • most frequent data source (quick and easy)
  • high face validity (it measures what it says it will measure)
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6
Q

What are the advantages to S-Data?

A
  1. based on a large amount of information
  2. you have access to all your thoughts, feelings and intentions
  3. definitional truth (i.e. self-esteem…by definition you are getting what you ask for)
  4. causal force (self-verification - what you report is what you show…ex. getting a high self esteem score will cause you to have a high self esteem
  5. simple to collect
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7
Q

What are the disadvantages of S-Data?

A
  1. maybe people won’t be honest
  2. maybe people can’t tell you (sometimes we miss the most obvious things about themselves)
    - active distortion of memory
    - lack of self-insight
  3. overused
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8
Q

What is I-Data?

A

informant reports

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9
Q

Describe what I-Data is?

A
  • acquaintances, coworkers, clinical psychologists (anyone who knows you to a certain extent)
  • no training or experience needed to provide I-Data
  • based on observing people in whatever context they know them in
  • used frequently in daily life (ex. letter of recommendation)
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10
Q

What are the advantages of using I-Data?

A
  1. based on a large amount of information
    - many behaviours in many situations
    - judgements from multiple informants is possible
  2. real world behaviour
    - more likely to be relevant to important outcomes
  3. takes context into account
  4. definitional truth (ex. likability - how much do you like ____?)
  5. causal force: expectancy effects AKA behavioural confirmation - wanting to confirm their reports by changing their behaviour to match the report…like a self-fulfilling prophecy)
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11
Q

What are the disadvantages of using I-Data?

A
  1. limited contexts
  2. lack of access to private experience
  3. errors: extreme/unusual behaviour most reported
  4. bias: due to prejudices
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12
Q

What is L-Data?

A

Life outcomes

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13
Q

Describe what L-Data is

A
  • obtained from archival records

- the results or residue of personality

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14
Q

What are the advantages of using L-Data?

A
  1. objective and verifiable
  2. intrinsic importance (relevant)
  3. affected by personality (relevant)h
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15
Q

What are the disadvantages of using L-Data?

A

multidetermination - could have more than one determining variable (confounding variable)

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16
Q

What is B-Data?

A

Behavioural data

17
Q

Describe what B-Data is? What are the two types of B-Data?

A
  • what a person actually does is the most visible indication of personality
    a. natural B Data:
  • based on real life
  • diary and experience sampling methods
  • ambulatory assessment: using tech to assess behaviour, thoughts and feelings
    b. lab B Data
  • experiments (make a situation happen and record the results)
  • physiological measures - biological behaviour
18
Q

What are the advantages of using natural B-Data?

A

realistic

19
Q

What are the disadvantages of using natural B-Data?

A
  1. difficult

2. desired contexts may seldom occur

20
Q

What are the advantages of using lab B-Data?

A
  1. large range of contexts

2. appearance of objectivity (because of control)…but subjective judgements must be made

21
Q

What are the disadvantages of using lab B-Data?

A
  1. difficult and expensive

2. uncertain interpretation

22
Q

What is reliability?

A

consistency of measurement

23
Q

What is measurement error?

A

error variance (cumulative effect of extraneous influences)

24
Q

What are some factors that undermine reliability?

A
  1. low precision of measurement (ex. invalid questionnaire)
  2. state of the participant (ex. mood)
  3. state of the experimenter (ex. lab coat - detail of experimenter)
  4. the environment (ex. light, temperature)
25
Q

How can we enhance reliability?

A
  1. double-check
  2. use a script/protocol
  3. measure things that are important
  4. aggregation
    - allow random influences to cancel each other out
    - Spearman-Brown formula: mathematical formula that predicts the degree to which the reliability of a test can be improved by changing the number of items
26
Q

What is validity?

A

Does it measure what it is supposed to be measuring?

27
Q

What is construct validation?

A

compare to already reputable methods

28
Q

What is generalizability?

A

The extent to which a measurement or result applies to other tests, situations or people

  • combine reliability and validity
  • ex. using only university students in your research (not generalizable)
29
Q

Describe the case method of research design?

A
  • study one person or a few people
  • advantages: describes whole phenomenon, source of ideas
  • disadvantages: unknown generalizability
30
Q

Describe the experimental method of research design?

A
  • establishes a causal relationship between an independent variable and a dependent variable
  • test differences between groups with statistical tests - is difference larger than what would be expected by chance?
31
Q

Describe the correlational method of research design?

A
  • no manipulation of variables
  • scatterplot
  • correlation coefficient
  • correlation not equal to causation (because we are not manipulating any variables)
32
Q

What are some complications with experiments?

A
  • uncertainty about what is being manipulated
  • can be unrealistic
  • often requires deception
  • ethical reasons
  • experiments are not always better