Content Analysis & Reliability Flashcards

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1
Q

what is Content Analysis?

A

when a researcher looks at the content of something and analyses it (e.g. the way men and women are represented in a book)

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2
Q

what is involved in the sampling method?

A
  • if analysing a book do they look at every page or every nth page
  • if comparing content in various books do they select random books or choose ones with certain characteristics (e.g kids books)
  • if analysing TV ads is behaviour sampled every nth amount of time & are note whenever behaviours occur
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3
Q

what is involved in the coding of data?

A

Coding is using behavioural categories (e.g. if a researcher is looking at the representation of men and women in books; they create a list of behavioural categories and count instances)

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4
Q

what is involved in the method of representing data?

A

Data can be recorded in each behavioural category in 2 different ways
- you can count instances (quantitative)
- you can describe examples (qualitative)

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5
Q

Strengths of Content Analysis

A

High ecological validity
- based on observations of what people actually do
- real communications that are current and reliable

Greater Reliability
- when sources can be retained or accessed by others the content analysis can be replicated

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6
Q

Weaknesses of Content Analysis

A

Observer Bias
- reduces objectivity and validity due to different observers maybe interpreting meaning of categories in differently

Cultural Bias
- Interpretation of verbal and written content will be affected by language and culture of the observer

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7
Q

what is Thematic Analysis?

A

a form of content analysis but the outcome is qualitative through the process of identifying themes
- a theme refers to any idea that is recurrent

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8
Q

what is Reliability?

A

a measure of whether something stays the same / is consistent

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9
Q

what is internal reliability?

A

an internal consistency of measure such as as whether the different questions in a questionnaire all measure the same thing

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10
Q

what is external reliability?

A

assesses consistency when different measures of the same thing are compared (e.g. does one measure match up against other measures)

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11
Q

How do you assess the reliability of an observation?

A

Inter-rater reliability
- where 2 or more also observe and see if all get similar results

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12
Q

How do you improve the reliability of an observation?

A
  • redefine the behaviour checklist
  • train people to use the same tools as you
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13
Q

How do you assess the reliability of a questionnaire?

A

Test-retest reliability
- needs a strong correlation (0.8)

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14
Q

how do you improve the reliability of a questionnaire?

A

adjust flawed questions to ensure correlation

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15
Q

how do you assess the reliability of an experiment?

A

replication

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16
Q

strengths of Meta analysis

A
  • high validity due to being based on a larger sample size
  • When studies show us contradictory results, a meta analysis shows us the overall effect
17
Q

weaknesses of Meta Analysis

A
  • there will be some differences in the designs of the different studies - therefore it may not be appropriate to combine the data
18
Q

strengths of Case studies

A
  • Rich and interesting data - has a high degree of realism & can provide insight into existing areas
  • Can contradict / support existing theories - can lead to the modification of theories (e.g. HM on the MSM)
19
Q

weaknesses of case studies

A
  • low reliability due to findings of a case study being unlikely to be replicated even when similar cases are studied - lead to low generalisation