merriam ch 7 5.17.10
TRANSCRIPT
Merriam – Chapter 7
Mining Data from Documents
Mining Data from Documents
• In contrast to interview and observation data, documents are usually produced for reasons other than the research at hand.
• Documents / Artifacts include:– Symbolic materials (writing and signs) &
non-symbolic (tools and furnishings)– Artifacts include objects in the
environmentMay 17, 2010 EDFN 506 2
Mining Data from Documents
• Public Records– “if an event happened, some record of it
exits”• Birth & Death records• Marriage licenses• U.S. Census documents• Police Records• Court Transcripts
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Mining Data from Documents
• Educational Documents– Parent involvement records– Notes home to parents–Memos to teachers– Policy statements– School bulletin boards
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Mining Data from Documents
• Personal Documents– Refers to any first-person narrative that
describes and individual’s actions, experiences, and beliefs
– Highly subjective
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Mining Data from Documents
• Popular Culture Documents–Materials designed to entertain, inform,
or persuade– Television, film, radio, newspapers,
photography, political cartoons– Amount of data in popular documents is
nearly infinite– “Think small” when reviewing this
category or documents [UbD]
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Mining Data from Documents
• Visual documents– Film, video, and photography– Transition from etic to emic position as
camera becomes the eyes of an insider’s perspective
– Objectivity is not the goal only honest transparency (in contrast to p. 146)
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Mining Data from Documents
• Physical Materials / Artifacts– Tools, implements, utensils, and
instruments of everyday living• Military “dog tags”
– “mute evidence”– Migrates to quantitative as descriptive
statistics and created from the frequency of some artifact occurrences
– Longitudinal monitoring devices (time-lapse)• http://www.youtube.com/watch?v=6B26asyGKDo
&feature=relatedMay 17, 2010 EDFN 506 8
Mining Data from Documents
• Researcher-generated documents– Documents produced for the researcher
once the study has begun
• Using Documents in Qualitative Research– Focus on the research question to
narrow your search efforts
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Mining Data from Documents
• Emphasis on systematic data collection process
• i.e. search for African American educational leadership data (historical)
• First thing once document is obtained is to assess AUTHENTICITY
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Mining Data from Documents
• Authenticity:1) History of document2) Acquisition of document3) Is document complete as original4) Why was it produced?5) Author?6) How did the author create the document?7) Creator’s bias?8) Other documents available to “shed
additional light” on current document
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Mining Data from Documents
• Primary vs. Secondary Sources– Primary sources are those in which the
originator of the document is recounting firsthand experience with the phenomenon of interest
– Secondary sources are reports of a phenomenon by those who have not directly experience the phenomenon of interest
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Mining Data from Documents
• Coding / Content Analysis• Data Collection and Coding are often
carried out by novices using protocols and trained to count units of analysis
• “The aim is to be systematic and analytic, but not rigid…”
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Mining Data from Documents
• Limitations and Strengths of Documents– Reflecting on the value of the document
in the context of the research question– Personal accounts or official documents
may only provide one side of the story–May not be in a form that is useful if
created for other purposes– Authenticity and accuracy difficult to
determineMay 17, 2010 EDFN 506 14
Mining Data from Documents
• May prove preferable to interviews and observations– Unobtrusive– Non-reactive (physical traces)
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Mining Data from Documents
• Online Data Sources– Difficulty is found in realizing who is not
included because of issues of access– For the most part, with caution, online
sources can provide an extension of the three methods of qualitative data collection
– Real vs. online personalities (Goffman’s idyllic presentation)
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Mining Data from Documents
• Transiency of Web documents– Links disappear over time, although
there is always an electronic footprint– Include these concerns in any analysis,
description, or discussion of using online data sources
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Mining Data from Documents
• Effects of the Medium on Data Gathering– Important benefit is that people may be
more willing to communicate electronically if the subject matter requires a veil of privacy
– Greater likelihood that remote informants can be reached
– THE RESEACHER’S RESPONSIBILITY MUST BE TO DESCRIBE TOOLS AND METHODS, AS WELL AS THEIR POTENTIAL EFFECTS ON THE WORK.
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Mining Data from Documents
• Ethical Issues– Stanley Milgram
1)2)3)
– Protection of participants identity and original data
–Who “owns” the data?
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Mining Data from Documents
• Ethical Concerns:– Obtain informed consent– Ensure confidentiality and security of
information– Predetermine what is public and what is
private– Debriefing procedures for participants
(Milgram)– Participants vs. subjects
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