Week 1 Flashcards

1
Q

Quantative research

A

Used to quantify a research problem by gathering numerical data to use for statistical testing.

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2
Q

Qualitative research

A

To gain an understanding of people’s attitudes, opinions or motivations.

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3
Q

Different research methodologies for qualitative research

A
  1. Passive analysis - gathering information on interactions on the internet, without activeley participating in communicationwith the people.
  2. Active analysis - the researcher observes the participants and gets actively involved in the communication, often without revealing their identity.
  3. Web surveys - the researcher reveals his identity, making it more ethical.

Web surveys can be both quantative and qualitative (closed- or open-ended questions)

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4
Q

Total survey error (TSE) framework

A

Framework including all possible survey errors

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5
Q

Measurement error

A

The difference between the retrieved answer and the true value, occurs when an instrument does not measure exactly what it should measure

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6
Q

Non-response error

A

Not all questions are answered. Only a problem when the non-responders differ from the responding participants.
Types:
* Unit non-response - individuals not participating in the survey
* Partial non-response - individuals who drop out during filling in the survey
* Item non-response - individuals who fail to answer an item or question

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7
Q

Coverage error

A

There exists a discrepantion between the frame population and the actual population

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8
Q

Sampling error

A

Further than coverage error, there is a difference between the frame population and the sample

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9
Q

Acquiescence

A

The tendency to agree

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10
Q

Social desirability

A

The need to present oneself in a favorably light

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11
Q

Primacy and recency effect

A

Selecting the first or the last answer option

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12
Q

Satisficing

A

Searching for the first appropriate option and choosing this, instead of reading all options

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13
Q

Factor analysis

A

Analysis to examine which factors account for most variability

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14
Q

Exploratory factor analysis (EFA)

A

Data driven

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15
Q

Confirmatory factor analysis (CFA)

A

Theory driven

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16
Q

Adjustment error

A

Errors in handling the missing, and weighting for example.

17
Q

Validity

A

The accuracy of a measure. Does it really measure what it is supposed to measure.

18
Q

Reliability

A

The consistency of the measure. The extent to which the results can be reproduced.

19
Q

Processing error

A

Error connected to the processing of survey data, such as data entry, handling of the questionnaires, computer errors etc.

20
Q

Types of measurement error

A
  • Effect I: Misreporting (over / under, systematic bias)
  • Effect II: Loss in precision (loss in reliability)
  • Effect III: Cognitive shortcuts (satisficing)
21
Q

Straightlining

A

Choosing the answers in a straight line in a grid.

22
Q

Utilitarian perspective

A

States that an action is ethical if the benefit is likeley to be greater than the harm it causes

23
Q

Deontological perspective

A

Emphasizes the importances of moral behaviour.