Types of data & study designs Flashcards

1
Q

What is Funder’s 2nd law?

A

There are no definite answers when it comes to personality, only cues and cues are ambiguous.

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2
Q

What are the pros and cons of self-report data?

A

Pros:
Simple and easy
Causal force
Definite truth
Can gather lots of info
Access to thoughts and feelings
Cons:
Bias & error
Overused

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3
Q

What are the pros and cons of informant data?

A

Pros:
Large amount of information
Real-world basis
Consideration of context
Definitional truth
Causal force
Cons:
Limited behavioural information
Lack of access to private experience
Bias & error

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4
Q

What are the pros & cons of behavioural data?

A

Pros:
Can examine a range of contexts
Appearance of subjectivity
Cons:
Time-consuming and costly
Uncertain interpretation
Bias

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5
Q

What are the pros & cons of life outcome date?

A

Pros:
More objective and verifiable
Intrinsic importance
May be easily accessible
Cons:
Multi-determination
May be more accessible to some than others
Can be difficult to collect

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6
Q

What are case studies?

A

Closely studying a particular event or person

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7
Q

What are the pros & cons of using case studies?

A

Pros: describes a whole person, source of new ideas and it’s necessary to solve particular problems
Con: the generalizability is unknown

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8
Q

What are the pros and cons of experimental designs?

A

Pro: can provide a test of causality
Cons: unnatural context, some variables can’t be manipulated and there’s no way to know if you’re manipulating what you think you are

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9
Q

What are two examples of correlational methods?

A

Longitudinal and cross-sectional studies

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10
Q

What are the pros and cons of correlational designs?

A

Pros: can examine naturally occurring relationships and variables that can’t be manipulated
Cons: unable to determine causality and susceptible to the third variable effect

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11
Q

What are the similarities between the experimental and the correlational method?

A

They both attempt to assess the relationship between two variables
Both yield measures of the effect size and statistical significance

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12
Q

What’s Funder’s third law?

A

Something beats nothing

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