Handling Qualitative Data Flashcards

1
Q

What is a transcript?

A
  • A necessary step on the way to interpreting textual qualitative data
  • No ‘standard’ established
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2
Q

What are two forms of transcripts?

A

Precise transcription

-Verbatim transcription

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3
Q

What can be used in precise transcriptions?

A

-Linguistic analysis dictates maximum exactness (no para-phrasing) (Jefferson)
. Symbols used in conversation analysis

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4
Q

Explain verbatim transcription

A

-As much as is required by the research question

. Line numbers down the side allowing quick reference to quotes

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5
Q

What are some key points about transcription?

A

. The level of transcription has an influence on the quality of data for interpretation
. Transcription takes time
. Badly recorded interviews take longer to transcribe
. The words of the interviewer should also be included
. Transcription services – quality check

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6
Q

Explain the interpretation stage of data analysis?

A

• Locate meaning in the data
• Skilful expedition-usually better if done by researcher
• Coding – a label, note, a query, or a tag
associated with an extract of data
• Theme – a group of coded data which
represent a similar pattern / concept
Thematic Analysis (next Semester)

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7
Q

Explain coding

A
  • Starting blocks for interpretation of data
  • Used to categorise the text and develop theory
  • Codes are applied to a ‘unit’ of textual data
  • A code is a ‘label’ that captures a segment of the data
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8
Q

What are the two types of coding?

A

•Deductive (Top down / A priori). Driven by a specific
research question
• Inductive (Bottom up / Emergent). Codes are linked to
the data

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9
Q

What should be coded?

A

• Themes, topics, concepts, terms, phrases, key

words

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10
Q

What should you look for when coding?

A
  • What is happening?
  • What are the people saying?
  • What emotions / attitudes might they be implying
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11
Q

When is deductive coding used?

A

Used when a predetermined theory / concept needs evidencing

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12
Q

When is inductive coding used?

A

Used to build new theory or develop new concepts.

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13
Q

How can the analysis be developed?

A
  • Codes need to be organised-e.g. Similar concepts
  • Categorise them into separate groupings (sub-themes) and organise based on similarities
  • Refine into general themes (patterns in the data)
  • Reliant on researcher interpretive skill – keep analytical notes /memos
  • Process of reducing the data so it is manageable and understandable
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