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Introduction to: Interpretive research grounded theory case study

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Title: Introduction to: Interpretive research grounded theory case study


1
Introduction to Interpretive researchgrounded
theorycase study
2
Interpretive research
  • Assumption access to reality (given or socially
    constructed) is only through social constructions
    such as language, consciousness and shared
    meanings

3
Interpretive research
  • Interpretive studies generally attempt to
    understand phenomena through the meanings that
    people assign to them
  • Interpretive research does not predefine
    dependent and independent variables, but focuses
    on the full complexity of human sense making as
    the situation emerges

4
Interpretive research in IS
  • interpretive methods of research in IS are "aimed
    at producing an understanding of the context of
    the information system, and the process whereby
    the information system influences and is
    influenced by the context" (Walsham)

5
Interpetive research use of theory
  • Initial guide to design and data collection
  • Initial theoretical framework
  • Sensibility to data
  • Danger of not-seeing
  • Part of an iterative process of data collection
    and analysis
  • Being open to field data
  • Modify initial assumptions and theories
  • A final product of the research
  • Concepts
  • Conceptual framework

6
Interpretive research empirical work
  • Access to other peoples interpretations
  • Own role as researcher
  • Outside observer not direct involvement
  • Involved researcher (action r, participant obs.)
  • Evidence interview as primary data source
  • Styles of interview
  • Reporting media
  • Reporting fieldwork
  • Credibility document your process of data
    collection
  • Importance of details (research site, motivation
    for choices, num of people, data sources, ... and
    theory-data iterations)

7
Types of generalizations from interpretive case
study (Walsham)
  • Development of concepts
  • Generation of theory
  • Drawing of specific implications
  • Contribution of reach insight

8
Principles for conducting and evaluating
interpretive research Klein and Myers 1999, MISQ
  • The fundamental principle of the hermeneutic
    circle.
  • The principle of contextualization.
  • The principle of interaction between the
    researchers and the subjects.
  • The principle of abstraction and generalization.
  • The principle of dialogical reasoning.
  • The principle of multiple interpretations.
  • The principle of suspicion.

9
Grounded Theory
  • Barney Glaser and Anselm Strauss (1967)
  • They criticized the "overemphasis in current
    sociology on the verification of theory, and a
    resultant de-emphasis on the prior step of
    discovering what concepts and hypotheses are
    relevant for the area that one wishes to
    research
  • "(...) we are also trying, through this book, to
    strengthen the mandate for generating theory, to
    help provide a defense against doctrinaire
    approaches to verification (...). It should also
    help students to defend themselves against
    verifiers who would teach them to deny the
    validity of their own scientific intelligence"

10
Grounded Theory as Theory
  • It is inductively derived from the study of the
    phenomenon it represents.
  • It is discovered, developed, and provisionally
    verified through systematic data collection and
    anlysis of data pertaining to that phenomenon.
  • Data collection, analysis and theory stand in
    reciprocal relationship with each other.
  • One does not begin with a theory, then prove it.
  • One begins with an area of study and what is
    relevant to that area is allowed to emerge.
  • Strauss and Corbin (1990) Basic of Qualitative
    Research, Sage.

11
Grounded Theory as a methodology
  • Emphasis on empirical material as basis for
    conceptualization.
  • Gathering reach empirical material from a variety
    of sources.
  • Open data collection
  • Recording data systematically
  • the emphasis is on exploring the nuances of the
    data by constantly asking, 'of what is this an
    example?'
  • Develop dense and grouded concepts and categories

12
Defining Grounded Theory
  • grounded theory methods are a set of flexible
    analytic guidelines that enable researchers to
    focus their data collection and to build
    inductive middle-range theories through
    successive levels of data anlysis and conceptual
    development
  • Charmaz, K. (2005) Grounded Theory in the 21st
    Century in The Sage Handbook of Qualitative
    Research

13
Grounded Theory data analysis
  • Open coding
  • concepts, categories, properties, code notes
  • Memo writing
  • Axial coding
  • Focus on relations
  • Connections between categories
  • Causal conditions, intervening conditions...
  • Selective coding

14
Grounded Theory
  • Conflicting principles
  • Emergence
  • Of categories from data
  • Theoretical sensitivity
  • Researchers ability to see relevant data
  • To identify theoretical relevant phenomena
  • Strauss/Glaser discussion

15
Case StudyYin, R. (1994) Case Study Research,
Sage
  • A method of research/a research strategy (not
    linked to part. method of data collection)
  • Advantages/disadvantages depending on
  • Type of research question
  • Control over behavioural events
  • Focus on contemporary as opposed to historical
    phenomena
  • Preferred when
  • How and why questions
  • Little control over events
  • Focus on contemporary phenomena within real-life
    context

16
Defining Case study
  • Distinguishing characteristics
  • It attempts to examine a contemporary phenomenon
    in its real-life context
  • Expecially when the boundaries between phenomenon
    and context are not clearly evident
  • Different from experiment and historical
    analysis.

17
  • Exploratory case study
  • To develop pertinent hypothesis and propositions
    for futher inquiry
  • what are the ways of making schools effective?
  • Descriptive case study
  • To describe the incidence or prevalence of a
    phenomenon
  • Es. Political attitudes
  • Explanatory case study
  • To trace operational links over time

18
Case study design
  • five components of research design
  • A study's questions
  • Its propositions, if any
  • Its unit(s) of analysis
  • The logic linking the data to the propositions
  • The criteria for interpreting the findings

19
Case study required skills for data collection
  • Ask good question
  • Be a good listner
  • Be adaptive and flexible (new opportunity not
    always as planned)
  • Have a firm grasp on the issue (relevant events
    and information)
  • Not mechanical recording
  • Recognize deviations, contradictions
  • Be unbiased by preconceived notions
  • Be open to contrary findings

20
Sources of evidence
  • Documentation
  • Archivial records
  • Interviews
  • Direct observations
  • Participant-observation
  • Physical artefacts (technological devices, tools
    or instruments, a work of art)

21
Three Principles of data collection
  • Principle 1Use multiple sources of evidence
  • Single source problems of accuracy and
    trustworthiness
  • Triangulation rationale for using multiple
    sources of evidence
  • Construct validity
  • More expensive/time consuming/need different
    skills

22
Three Principles of data collection
  • Principle 2 Create a case study database
  • Need to separate between collected evidence and
    final report
  • Increases reliability
  • Contents notes, documents, quantitative data,
    narratives
  • Other people should be able to access data

23
Three Principles of data collection
  • Principle 3 Maintain a chain of evidence
  • To allow an external observer to follow the
    derivation to any evidence
  • Trace steps
  • From conclusions to research questions
  • From research questions to conclusions
  • Final report ? database ? evidence and
    circumstances ? procedures and questions in
    protocol ? initial research questions

24
Key characteristics of case studies (Benbasat et
al.(1987) The Case Research Strategy in Studies
of Information Systems, MIS Quarterly)
  • Phenomenon is examined in a natural setting
  • Data are collected by multiple means
  • One or few entities (person, group or
    organization) are examined
  • The complexity of the unit is studied intensively
  • The investigator should have a receptive attitude
    towards exploration
  • No experimental controls or manipulation are
    involved
  • The investigator may not specify the set of
    dependent and independent variables in advance
  • The results derived depend heavily on the
    integrative powers of the investigator
  • Changes in site selection and data collection
    methods could take place as the investigator
    develops new hypotheses
  • Useful to study how and why questions
  • The focus is on contemporary events
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