Content analysis Flashcards

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1
Q

What are the different steps?

A
  • Sampling
  • Coding
  • Analysis
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2
Q

Sampling?

A

Distinguishing unit of observation and unit of analysis

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3
Q

Coding? (4)

A
  • Transform raw data into standardised form (conceptualisation and operationalisation)
  • Manifest ( objective- counting elements) vs. Latent content ( subjective - researcher makes subjective assessment about entire unit of analysis)
  • Conceptualisation: creation of attributes, code categories
  • Counting and record keeping
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4
Q

Analysis? (2)

A
  • Qualitative analysis

- Computer assisted content analysis (CACA)

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5
Q

Summary of steps (5)

A
  • Identify population of documents or other textual sources
  • Determine unit of analysis
  • Select sample of units from population
  • Design coding procedures for the variables to be measured
  • Develop appropriate analyses
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6
Q

Positive aspects? (4)

A
  • Save time and money
  • Easy to repeat and replicate
  • Allows study of phenomenon over a long period of time
  • no impact on subjects - unobtrusive
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7
Q

Negative aspects? (2)

A
  • Limited to examination of recorded communication

- trade -off: reliability and validity (depend on choice of coding)

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8
Q

Archival research?

A

Process of extracting evidence from documents from archives and interpret relevant historical documents and records

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9
Q

Challenges of archival research? (4)

A
  • Accessing or locating the material
  • Archaic language
  • different version of the language
  • Digging through takes a while
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10
Q

Positive aspects of using existing statistics? (6)

A
  • Allows analysis of social processes in unaccessible settings
  • Saves money and time
  • Avoid data collection problems
  • Easier to compare with different samples or cases
  • More variables and diverse samples
  • Can combine data from multiple studies
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11
Q

Secondary analysis?

A

Use of pre-existing data in a different way or to answer a different question

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12
Q

Negative aspects of using existing statistics? (4)

A
  • Unsure of data quality/ reliability
  • Don’t control data collection method- could be unsuitable method of sampling
  • Can’t test and refine methods
  • Trade off between ease of research and appropriateness
    (validity vs. reliability)
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