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Summary Social Research Methodology glossary

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73310104AY

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Universiteit Van Amsterdam (UvA)

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Bryman\'s Social Research Methods

This document contains an extensive glossary of all the terms that you are required to know for the Social Research Methodology exam. It is complete, well-organized, and easy to read.

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Publié le 6 avril 2023
Nombre de pages 16
Écrit en 2022/2023
Type Resume

brymans
social research methods
exam revision
glossary
social research methodology
srm
lecture notes
bryman social research methods
uva

Titre de l’ouvrage:Bryman\'s Social Research Methods

Auteur(s):Tom Clark, Liam Foster

Édition:Inconnu
ISBN:9780198796053
Édition:6

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Samenvatting Bryman's Social Research Methods - Social Research Methodology (S_PMSRM)
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Samenvatting OBO hoorcolleges + literatuur 2024/2025
Autre
Bryman's Social Research Methods 6th Edition Complete Solution Guide.

Établissement
Universiteit van Amsterdam (UvA)
Cours
Sociologie
Cours
73310104AY

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Week 1: Introduction to Research Methodology

Objective of science : Formulation of explanatory theories concerning empirical reality

Theory : A system of logically coherent non contradictory statements about a part of reality

Methodology : Transfers the theoretical to the empirical

Concept : Abstract term that describe phenomenon

Law : Regularity of facts

Postulate : Basic assumption in a theory

Proposition : (Statement) Explanatory relationship between concepts

Grand theory : Abstract, large scope

Middle range theory : Useful for empirical research, limited scope

Background literature : Focused search for theories, empirical research, limited scope

Fact collection : Necessary collection

Induction
- Observation to theory
- Verification logic
o Limited number of observations result in a universal statement
- Critiques : Many assumptions and generalisations are made

Deduction
- Theory to observations
- Falsification logic
- Test things out to make them untrue

Induction problems : How many observations are needed for a valid reasoning

Inductive reasoning : Reasoning from repeated observations to general statements

,Verification logic : The same properties are shared by all individuals (Generalisation)

Falsification logic : The same properties are not shared by all individuals
- Falsification of the hypothesis

1. Replicability : Can the experiment be replicated
2. Reliability : Are measurements consistent in variables and the way questions are being
phrased
o Internal reliability : Concerned with consistency of results obtained with
different instruments
o Inter-rater reliability : Agreement between researchers
 Can also be referred to as inter/rater or coder
o Stability: a measure is stable over time
3. Validity : How accurate are the findings?
o Measurement validity : Are you measuring what you think you are measuring?
 Validity : Does it look okay at first glance
 Content validity : Concerned with the basis of researches, studies and
background literature
 Criterion validity : Multiple measurements for the same concept are
compared to verify the consistency and accuracy of the measurements
 Concurrent validity : Correlation with known indicators,
measures overlapping
 Predictive validity : How well can we predict the results in the
replication of the research
 Convergent validity : The degree to which measures employed
are related to each other
 Construct validity: How well the measure confirms to theoretical
expectations
o Internal validity : How clearly does the independent variable affect the
dependent?
 Variable : An attribute on which cases vary
 Dependent variable: Something that depends on other factors
Independent variable : A variable that causes a change or
variation in a dependent variable
o External validity : Can results be generalised to wider populations of people?
o Ecological validity : Are the findings meaningful to real life?

, Research strategy : General approach to conducting
- Qualitative vs quantitative

Research method : Technique for collecting data
- Survey, interview, participant observation

Research design : Framework for the collection and analysis of data
1. Experiment : Planning a set of procedures to investigate a relationship between
variables
2. Cross sectional : Collecting data on a sample at a single point in time
3. Case study : Detailed and intensive analysis of a single case
o Critical : Used to determine the cause and consequences of an event, used to
question universal beliefs
o Extreme : Conducting a study on cases that are unusual or that demonstrate
exceptional qualities
o Exemplifying : Conducting a study to exemplify a theory by showing how it
explains the case under investigation
o Revelatory : Provide the opportunity to investigate into a previously inaccessible
inquiry

Comparative : Studying two contrasting cases using the same method
Longitudinal : Spans time, with two or more times studying the same research

Week 2: Quantitative research

Objective of quantitative research : Is to show relations between variables, and describe the
relations as a cause and effect, with this we can explain social phenomena whilst also making
predictions

Hypothesis : A testable statement about the relationship between two or more variables or a
proposed explanation for some observed phenomenon

Concept : Building blocks of theory
- Points around which social research is conducted
- Labels we give to elements of the social world that seem to have common features

Falsification : Refutation of statements

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