Week 2 Flashcards

1
Q

Priming studies

A

involve experimentally manipulating the mindsets of participants and measuring resulting changes in behavior.

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2
Q

Behavioral studies

A

involve manipulations of environments and observation of changes in behavior.

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3
Q

TYPES OF STUDIES

A
  1. Validation studies
  2. Indigenous cultural studies
  3. Cross-cultural comparisons
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4
Q

validation studies

A

examine whether a scale, test developed in a culture is valid in another culture

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5
Q

Indigenous cultural studies

A

in depth analyses of theoretical models within a single culture

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6
Q

cross-cultural comparisons

A

involve participants from two or more cultures, measured on some psychological variable of interest

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7
Q

TYPES OF CROSS-CULTURAL COMPARISONS:

A

a) Exploratory vs hypothesis testing
b) Presence vs absence of contextual factors (=any variable that can explain partly or fully observed cross-cultural differences; e.g. characteristics of participants)

c) Structure-oriented vs level-oriented
d) Ecological level vs individual level vs multi-level

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8
Q

Exploratory studies

A

Examines the existence of cross-cultural similarities or differences

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9
Q

exploratory studies. Strengths and weaknesses

A

Strength - Broad scope for identifying similarities and differences
Weakness - Limited capability to solve the causes of differences

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10
Q

Hypothesis-testing studies

A

Examines why cultural differences exist. Include context variables or experiments.
Inferences promote cross-cultural biases and inequivalence

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11
Q

Structure-oriented studies

A

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

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12
Q

Level oriented studies:

A

Comparison of mean levels of scores
between cultures

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13
Q

Individual-level studies:

A

Individual participants provide data and are the unit of analysis

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14
Q

Ecological (cultural) studies:

A

Countries or cultures are the units of analysis
Example: Hofstede

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15
Q

Multilevel studies:

A

Involve data collection at multiple levels of analysis

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16
Q

Bias:

A

Differences that do not have the same meaning within and across cultures

If bias exists in cross-cultural comparative study, the comparison loses its meaning

17
Q

Equivalence

A

State or condition of similarity in conceptual meaning and empirical method between cultures.
Allows comparisons to be meaningful

18
Q

Types of Bias (8)

A

Measurement bias
construct bias
linguistic bias
response bias
model bias
sampling bias
procural bias
interpretational bias

19
Q

Measurement bias

A

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

20
Q

Construct bias

A

Are psychological constructs defined in the same way across cultures?

21
Q

Linguistic bias

A

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

22
Q

Response bias

A

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

23
Q

Model bias

A

Do the theoretical framework and hypotheses being tested mean the same thing in the cultures being tested?

24
Q

Sampling bias

A

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

25
Procedural bias
Do the procedures by which data are collected mean the same in all cultures tested?
26
Interpretational bias
- are statically significant findings practically meaningful? - Are the interpretations made about the findings and conclusions drawn biased in some way? - Are interpretations about cultural sources of differences justified by data?
27
Construct/Model Bias, Example:
You investigate happiness across different cultures. You select two cultural groups and you ask participants “How happy do you feel today?” North Americans: - Derive happiness through personal achievements - Maximize positive affect experiences East Asians: - Derive happiness from interpersonal connectedness - Balance experiences of positive and negative affect Consequence: a measure of happiness that is western-focused will underestimate levels of happiness in an East Asian context.
28
Example: Item/Linguistic Bias
An item is biased when it has a different psychological meaning across cultures Example: the item is not applicable “I never make a long trip without checking the safety of my car” – does the respondent have a car? Example: The item has cultural connotations “I do things my own way” – is that desirable or undesirable? Example: An item cannot be easily translated “I feel blue” (from the Beck Depression Inventory).
29
Steps to minimize bias:
1. design (decentering and convergence) 2. implementation (pretest: pilot studies or cognitive interviews, field work) 3. analysis