Action research workshop data analysis gi group april 2011
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Action Research Workshop Data Analysis GI Group April 2011. Bendik Bygstad Institute of Informatics, UiO Norwegian School of IT. Data analysis in the research process. Values, world view. Value claims. Research question . Epistemology. Knowledge claims. Research review.

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Action Research Workshop Data Analysis GI Group April 2011

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Action research workshop data analysis gi group april 2011

Action Research WorkshopData Analysis GI Group April 2011

Bendik Bygstad

Institute of Informatics, UiO

Norwegian School of IT


Data analysis in the research process

Data analysis in theresearchprocess

Values,

world view

Value claims

Research

question

Epistemology

Knowledge claims

Research

review

Discussion

Interpretations

explanations

Theories

Concepts

Results

External

validity

Episte-

mological

lens

Method

Findings

Data

analysis

Research

design

Constructs,

variables

Records

Internal

validity

Investi-

gative

lens

Observed events

and objects

Data

collection


Qualitative data analysis

Qualitative Data Analysis

  • How to make sense of the “raw information”

    • Material is unstructured: interviews, field notes, documents, photographs...

    • Want to find patterns and explanations, while retaining sense of original accounts and observations

  • What does it all mean?

    • Fundamental tasks are: defining, categorising, mapping, exploring, explaining, theorising...

  • Will it help you to use a software package, such as Atlas TI?

    • Yes, it will help you to keep track of data

    • No, it will not do the analysis for you


Qualitative data analysis miles and huberman

Qualitative Data Analysis: Miles and Huberman

Data Collection

Data Display

Data Reduction

Conclusions: drawing/verifying


Data reduction ladder of analytical abstraction

Data ReductionLadder ofAnalyticalAbstraction

3. Identifyingpatterns and

proposingexplanations

2. Identifyingthemes and

trends

1. Summarizinginterviews

and technicaldocuments

Climbingthe ladder is a

processoftransformation.

From a validity perspective

each step constitutes a threat

AfterCarney (1990), Miles and Huberman (1994)


Key tool data displays

Key tool: Data Displays

  • Display: A visual format that presents informationsystematically, in to order to helptheresearcher to identify findings.

  • ”You know whatyou display” (p. 91.)

  • Viewingthecondensed ”full data set” in oneview

  • It is creative and fun to make good data displays!

  • Theyarealsoveryuseful in publications


Display types tables data matrix

Display types: Tables (data matrix)


Display types tables

Display types: Tables

Orlikowski, 1993, CASE Tools as Organizational Change: Investigating Incremental and Radical Changes in Systems Development, MISQ 17(3)


Data dispays timelines

Data dispays: Timelines

Moens, Broerse and Munders (2008). Evaluating a participatory approach to information and communication technology development: The case of education in Tanzania. International Journal of Education and Development using ICT, 4(4).


Data displays networks

Data displays: Networks

SHEPPARD, B. & J. BROWN. " Meeting the challenge of information technology through educational partnerships: A case study ", International Electronic Journal for Leadership in Learning, 2(11), 1998.


Display types networks

Display types: Networks

  • Thisarrived by wayofStanley Wasserman at theSOCNETListserv (from theInternational Network of Social Network Analysts) – The NYT’s Social Network analysisofwhoAcademyAwards


Data displays process

Data displays: Process

Hagmann, J. R., E. Chuma, K. Murwira, M. Connolly, and P. Ficarelli. 2002. Success factors in integrated natural resource management R&D: lessons from practice. Conservation Ecology 5(2): 29.


Data displays table of events and outcomes

Data displays:Tableofevents and outcomes

Table 3: Summarizing the project, using DeLone and McLean's key concepts.

Bygstad, B. (2003) The Implementation Puzzle of CRM Systems in Knowledge Based Organizations.Information Resources Management Journal. Nov 2003.


Data displays explanations

Data displays: Explanations

Orlikowski, 1993, CASE Tools as Organizational Change: Investigating Incremental and Radical Changes in Systems Development, MISQ 17(3)


Working with data displays

Workingwith data displays

8. Suggest re-analysis

6. Integrate/elaborate

4. Suggest comparisons

2. Make sense

  • Display

  • Findings

1. Summarize

3. Seethemes/patters/clusters

5. Discoverrelationships

7. Developexplanations

After M&H fig 5.4


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