Summary methodology
Worldview 1: nomothetic approach (quantative approach)
Human behaviour is generalizable, predictable, motivated by events, personality and other
people
Worldview 2: ideographic approach (qualitative approach)
Human behaviour is unique, unpredictable and self-motivated
Induction: Theory building
Particular General
Deduction: Theory/hypothesis testing
General Particular
Abduction: why? Reasoning behind theory
The best reasoning/explanation based on theory
Dependent variable: the outcome (no manipulation)
Independent variable: the predictor (manipulation)
Mediator: indirect effect / IV mediator DV
Moderator: strength between IV and DV not caused by IV (often not manipulated)
Confounding variable: Variables that co-vary with the levels of your IV
Third variable: for example: buying ice cream and murdering people. The third variable
could be the weather on purchasing ice cream
Interaction: two IV’s that influences the DV
Standard data: Contain no personal data or other sensitive data
Confidential data: Contain personal information or other sensitive information
Secret data: Highly sensitive data (personal data/ companies data)
, Samenvatting Methodologie 2022 – Premaster CIS
Research methods & explanation:
Content analysis: Quantitative (can be explained through data)
Critical analysis: Qualitative (can not be explained through data)
Primary research: involves direct action with participants
Secondary research: literature review or competitive analysis with secondary sources
Literature review:
Systematic reviews
PRISMA
Sources
Research methods:
Interview (qualitative)
Survey (quantitative)
Content analysis (quantitative)
Focus group (qualitative)
Case study
Observational studies
Experiment
Non-experimental (no manipulation natural environment no causal relationship (rq) )
Experiment(al) (variables can be manipulated not a natural environment causal
relationship (rq) hypothesis)
Experiment
We do experiments do determine if the IV causes DV
Checks:
-IV precedes DV in time
-IV and DV co-vary if IV changes DV changes
-It is certain that IV causes the change in DV
Between-participant design= 1 condition per participant
Within-participant design= 2 conditions per participant (biased: people can guess where to
research is about)
Content analysis & Big data analysis:
Content analysis should be:
Exhaustive: all coding units must be assigned to a category being as small as possible
Exclusive: each coding unit is assigned to only one category
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