Module 2: Methods and Bias Flashcards

1
Q

cross-cultural validation studies

A

the valididty (= accuracy) and reliablility (= consistency) of a scale, test, or measure originally developed in one culture examined across different cultures
- aim is to check whether the measure is equivalent across cultures

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2
Q

indigenous cultural studies

A

these allow for in-depth analyses into a single culture
- the insights from these studies can then be compared across cultures

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3
Q

cross-cultural comparison studies

A

psychological constructs are compared between participants from 2 or more cultures

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4
Q

exploratory vs hypothesis testing

A

exploratory studies examine whether cultural differences or similarities exist
- hypothesis testing studies examine why cultural differences exist

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5
Q

presence vs absence of contextual factors

A

contextual factors are variables that can explain cross-cultural differences

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6
Q

structure vs level oriented

A

structure-oriented studies compare constructs, measures, or relationships with other constructs across cultures
- level-oriented studies compare differences between average scores across cultures

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7
Q

individual vs ecological (cultural) measurement level

A

in individual-level studies, the unit of analysis is data from individuals
- in ecological-level studies, the unit of analysis is date from countries or cultures

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8
Q

cannot assume isomorphism

A

we cannot assume that a relationship or association between variables is the same at every level

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9
Q

Simpsons Paradox

A

where there is a relationship in one life that does not exist in another

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10
Q

avoid ecological fallacy

A

occurs when country-level data are used to make statements about individuals of that country

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11
Q

avoid dichotomies

A

a division or contrast between 2 things that are, or are being presented as being opposed or entirely different
- individualist OR collectivist
- independent OR interdependent

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12
Q

avoid cultural essentialism

A

culture is believed to be a central aspect of someone’s personality that defines who they are

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13
Q

linkage studies

A

studies that attempt to discover a linkage between psychological and cultural variables
- unpacking studies
- experiments

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14
Q

unpacking studies

A

aim to explore and identify the specific cultural factors or mechanisms (like values, norms, or practices) that explain cultural differences in behavior, rather than simply noting that differences exist
- also called context variables (operationalize cultural constructs)

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15
Q

Poorting (2016, 2022)

A

compared unpacking studies to peeling an onion
- we cannot explain behavior by culture alone, but must ‘peel’ it layer by layer
- sees culture as a place holder for that which we do not know yet

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16
Q

experiments

A

research in which one variable is manipulated to observe its effect on the other variable
- 2 types: priming and behavioral

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17
Q

priming experiments

A

manipulating the participant’s train of thought to observe behavioral change

18
Q

behavioral experiments

A

manipulating the environment to observe behavioral change

19
Q

bias

A

a systematic error that endangers the comparability of data across cultures and groups

20
Q

construct bias

A

the measured construct is not identical across cultures/groups

21
Q

model bias

A

does the theoretical framework of whatever it is we are measuring translate in the same way across cultures?

22
Q

sample bias

A

cross-cultural variation in sample characteristics, such as differences in gender, education, SES, or urbanization

23
Q

instrument bias

A

the measurement instrument might be biased

24
Q

stimulus familiarity

A

the extent to which participants are familiar with the stimuli, can have an enormous impact

25
Q

response styles

A

systematic tendency to use certain categories of response

26
Q

administration bias

A

administration conditions, ambiguous instructions, the interaction between administrator and respondent, or communication problems

27
Q

interpretational bias

A

interpreting data based on one’s own culture, without considering that of another
- creates misinterpretation

28
Q

Poortinga’s 4 ways to deal with interpretation non-equivalence

A
  • ignoring
  • stopping the comparison
  • interpreting the non-equivalence
  • reducing the non-equivalence
29
Q

linguistic/item bias

A

cross-cultural research is done in many countries, speaking many languages, therefore it is a concern whether or not terms in a language have the same meaning when translated into other languages

30
Q

back translation

A

helps reduce linguistic bias by translating a piece of text from language 1 to language 2, then translating it back to language 1

31
Q

equivalence

A

the level of comparability across cultures and groups
- related to the measurement level at which scores obtained in different cultures can be compared
- e.g. kilometers vs miles can be converted into one another

32
Q

construct equivalence

A

no construct bias is present
- we are measuring the same thing across cultures

33
Q

measurement unit equivalence

A

with conversion, we can obtain equivalent scores

34
Q

full score equivalence

A

no bias present
- this is the goal, but not always obtainable

35
Q

minimization of bias

A
  • design
  • implementation
  • analysis
36
Q

design

A
  • “how can i make my study culturally appropriate?”
  • choice of instruments is important
  • instruments can be adopted, adapted to the context, or assembled
37
Q

implementation

A

“how can i conduct my study in a culturally appropriate way?”
- pilot studies, standard protocols, and clear instructions are important

38
Q

analysis

A

“do my items behave differently?”
- exploratory/confirmatory factor analysis and differential item functioning analysis can be used

39
Q

qualitative research

A

done in a natural setting or in the field
- help to gather information about a culture we are dealing with for the first time, build theoretical models, and generate hypotheses
- depends on interpretation, and it is difficult to formalize procedures
- a lot of room for bias

40
Q

quantitative research

A

independent and dependent variables are used
- useful for hypothesis testing
- often difficult to control for the variables
- post hoc cultural interpretations are very susceptible to bias