Methods and Bias Flashcards

1
Q

Types of studies

A
  • Exploratory studies
  • Hypothesis-testing
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2
Q

Exploratory studies

A

Examines the existence of cross-cultureak similarities or differences
- strength: broad scope for identifying similarities and differences
- weakness: limited capability to solve the causes of differences

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3
Q

Hypothesis-testing studies

A

Examines why cultural differences exist
- inferences promote cross-cultural biases and inequivalence

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4
Q

What are we looking for with studies?

A
  • structure-oriented studies
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5
Q

Structure-oriented studies

A

Comparison of a culture’s constructs structures, or relationships amoing constructs with those of another culture

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6
Q

At what level are we doing research?

A
  • individual level studies
  • ecological (cultural) studies
  • multilevel studies
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7
Q

Individual level studies

A

Individual participants provide data and are the unit of analysis

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8
Q

Ecological (cultural) studies

A

Countries or cultures are the units of analysis
- Hofstede

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9
Q

Multilevel studies

A

Involve data collection at multiple levels of analysis

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10
Q

Distinguising levels is improtant

A

Because of isomorphism (the realtionship of the variable is the same across levels)
- but this is not a given: relations between variables may not be the same at different levels

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11
Q

The Simpsons paradox

A

The relation between two factors on an individual level can be negative while the relation an the national level is positive. So the effect of the relation differs across different levels
- obese and health individually is bad, but national means more wealth and healthcare

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12
Q

Challanges when designing studies

A

Are the differences actually cultural –> validity of theoretical models
- Linkage studies

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13
Q

Linkage studies

A
  1. Unpackaging studies
  2. experiments
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14
Q

Unpackaging studies

A

Unpackaging studies seperate the contents of the global, unspecific concept of culture into specific, measurable psychological constructs and examine their contribution to cultural differences
- lots of contextual information is important

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15
Q

Poortinga on culture

A

Culture as a placeholder for what we do not understand yet
–> Culture is like peeling an onion: peeling away layer by layer

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16
Q

Experiments (linkage studies)

A

Priming studies and behavioral studies

17
Q

Priming studies

A

Involve experimentally manipulating the mindsets of participants and measuring resulting chamges in behavior

18
Q

Behavioral studies

A

Involve manipulations of environments and observation of changes in behavior

19
Q

The ecological fallacy

A

Inferences on individuals based on aggregated country-level data
–> make a statement about an individual based on the mean of the country
(Differences within groups can be bigger than differences between groups)

20
Q

Bias

A

Differences that do not have the sam meaning within and across cultures
- if bias exists in cross-cultural comparative study, the comparison loses its meaning

21
Q

Equivalence

A

State or condition of similarity in conceptual meaning and empirical method between cultures
- allows comparisons to be meaningful
–> what is the level of comparability

22
Q

Measurement bias

A

Are the specific measures, tests, or instruments used to collect data in different cultures equallu valid and reliable across those cultures?

23
Q

Construct bias

A

Are psychological constructs defined in the same way across cultures>

24
Q

Linguistic bias

A

re the research protocols semantically equivalent across the languages used in the study?

25
Q

Response bias

A

Do people of the different cultures have different tendencies to respond to questions?

26
Q

Model bias

A

Do the theoretical framework and hypotheses being tested mean the same thing in the cultures being tested?
- happiness; is it same everywhere?

27
Q

Sampling bias

A

Are the samples in the cultures tested appropriate respresentative of their culture and equivalent to each other?

28
Q

Procedural bias

A

Do the procedures by which data are collected mean the same in all cultures tested?

29
Q

Interpretational bias

A

Are statistically significant findings practicually meaningful?
- are the interpretations made about the findings and conclusions drawn biased in some way?
- are the interpretations about cultural sources of differences justified by data?

30
Q

Filial piety
- Example for construct bias

A

Respect for parents is universal
But: it can be more or less extensive, for instance when deciding what a family does when their elderly parents need support

31
Q

Item/linguistic bias

A

An item is biased when it has a different psychological meaning across cultures
- item is not applicable
- has cultural connotations
- cannot be translated

32
Q

Different method biases

A
  • Measurement/instrument bias = test characteristics
  • Linguistic/item bias = are items semantically equivalent?
  • response bias = response styles (extremities or acquiescence)
  • sampling bias = confounding differences
  • procedural/adminsitration bias = procedural (interviewer effects)
33
Q

Test adaption for translations

A

Forward and backward translation: translate from on to another language and someone else translate it back, to see if the interpretation is the same
- committee approach
- cognitive interview

34
Q

Interpretational bias
- Poortinga’s ways for dealing with nonequivalence

A
  • ignore the nonequivalence
  • interpreting the nonequivalence
  • preclusing comparison
  • reducing the nonequivalence in the data
35
Q

Method validation and indigenous studies

A

Cross-cultural validation studies
Indigenous cultural studies

36
Q

Cross-cultural validation studies

A

studies that examin whether a scale, test, or measure originally developed in a culture is valid in another culture

37
Q

Indigenous cultural studies

A

Rich description of complex theoretical models within a single culture
- insights generated from these studies compared across studies and cultures