Research methods: Data collection summary
,Index
- Analyzing social problems book, describing social problems, causal modelling in
problem analysis, and case studies
- Conceptualization – constructs as combinations of facets and terms, dimensions in
concepts, and indices, typologies and scales
- Creating index in SPSS
- Survey
- Items in surveys
- Improving survey questions
- Further improving survey questions
- Interview
- Validity and reliability threats in interviews
- Interview protocol
- Chapter 11 p. 323-334
- Cohen’s Kappa (document)
- Data-collection methods: content analysis
- Conceptualization using interviews
- Inter rater reliability: Cohen’s kappa
- Extensions of and alternatives for Cohen’s kappa
- Content analysis and coding (1): straightforward coding of short answers
- Summated rating scale construction book
- Summative scale construction
- Scale analysis: identifying problematic items
- Reliability and validity in measurement
- Measurement reliability
- Reliability in classical test theory: parallel tests
- Reliability: Cronbach’s alpha
Missing/no notes
- Content analysis and coding (2): coding longer texts using manifest and latent coding
- Content analysis and coding (3): machine learning/supervised learning
- Content analysis and coding (4): content analysis in more complex concepts
- Measurement validity
, ANALYZING SOCIAL PROBLEMS BOOK
DESCRIBING SOCIAL PROBLEMS
CAUSAL MODELLING IN PROBLEM ANALYSIS
CASE STUDIES
Phases of research methods
1. Problem definition and analysis
2. Design
3. Ex ante evolution
4. Selection
5. Implementation
6. Ex post evaluation
Problem definition and analysis = identify, define, describe and analyze a problem
Design = find or design option that might solve the problem
Ex ante evolution = compare the options using criteria
Selection = select a preferred option on the basis of this evaluation
Implementation = implement the selected option and monitor the implementation
Ex post evaluation = evaluate the consequences of the selected option
Problem = difference between what is or will be in the foreseeable future on the one hand,
and what is desired or what ought to be the case on the other hand
Theoretical variable = conceptualizing with one single variable
Problem variable = the variable used to identify the variable
Problem owners = people or institutions that have a desire, value or norm which is currently
not met or violated
Desires, norms or oughts
1. Personal
2. Institutional
Personal = preferences of (sometimes many) individuals
Institutional = rules or goals adopted by groups like parliaments or by the board of a
company
‘Authorize’ the ought-part of the problem = having some formal decision about a
description of the ought-part
Social problems = problems where many people have similar or related desires about a state
of affairs which is currently seen as not in line with these desires and which is seen as to be
solved by collective action
,Index
- Analyzing social problems book, describing social problems, causal modelling in
problem analysis, and case studies
- Conceptualization – constructs as combinations of facets and terms, dimensions in
concepts, and indices, typologies and scales
- Creating index in SPSS
- Survey
- Items in surveys
- Improving survey questions
- Further improving survey questions
- Interview
- Validity and reliability threats in interviews
- Interview protocol
- Chapter 11 p. 323-334
- Cohen’s Kappa (document)
- Data-collection methods: content analysis
- Conceptualization using interviews
- Inter rater reliability: Cohen’s kappa
- Extensions of and alternatives for Cohen’s kappa
- Content analysis and coding (1): straightforward coding of short answers
- Summated rating scale construction book
- Summative scale construction
- Scale analysis: identifying problematic items
- Reliability and validity in measurement
- Measurement reliability
- Reliability in classical test theory: parallel tests
- Reliability: Cronbach’s alpha
Missing/no notes
- Content analysis and coding (2): coding longer texts using manifest and latent coding
- Content analysis and coding (3): machine learning/supervised learning
- Content analysis and coding (4): content analysis in more complex concepts
- Measurement validity
, ANALYZING SOCIAL PROBLEMS BOOK
DESCRIBING SOCIAL PROBLEMS
CAUSAL MODELLING IN PROBLEM ANALYSIS
CASE STUDIES
Phases of research methods
1. Problem definition and analysis
2. Design
3. Ex ante evolution
4. Selection
5. Implementation
6. Ex post evaluation
Problem definition and analysis = identify, define, describe and analyze a problem
Design = find or design option that might solve the problem
Ex ante evolution = compare the options using criteria
Selection = select a preferred option on the basis of this evaluation
Implementation = implement the selected option and monitor the implementation
Ex post evaluation = evaluate the consequences of the selected option
Problem = difference between what is or will be in the foreseeable future on the one hand,
and what is desired or what ought to be the case on the other hand
Theoretical variable = conceptualizing with one single variable
Problem variable = the variable used to identify the variable
Problem owners = people or institutions that have a desire, value or norm which is currently
not met or violated
Desires, norms or oughts
1. Personal
2. Institutional
Personal = preferences of (sometimes many) individuals
Institutional = rules or goals adopted by groups like parliaments or by the board of a
company
‘Authorize’ the ought-part of the problem = having some formal decision about a
description of the ought-part
Social problems = problems where many people have similar or related desires about a state
of affairs which is currently seen as not in line with these desires and which is seen as to be
solved by collective action
