Content Analysis Flashcards

1
Q

What is the difference between measures of central tendency and measures of dispersion?

A

Central tendency - tells us about the central/‘average’ values for a set of data
Dispersion - tells us how spread out the data items are and how much variation there is in data

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2
Q

What levels of data can be used for the mean?

A

Ratio and interval data (why?)

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3
Q

What levels of measurement can be used to find the median?

A

Ratio, interval and ordinal data (data values must be in order)

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4
Q

How is the mode used with different levels of data?

A

Nominal: category with highest frequency count
Interval and ordinal: data item that occurs most frequently

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5
Q

How can a range help discover trends?

A

It can differentiate data sets that have the same mean for example

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6
Q

What is standard deviation?

A

Average distance between each data item above and below the mean

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7
Q

How is frequency data plotted?

A

y-axis: frequency
x-axis: item of interest

Can help us find a distribution

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8
Q

What are the defining features of a normal distribution?

A

. Mean, median and mode are all in the exact mid-point
. Distribution is symmetrical around the midpoint
. Dispersion of measurements either side of the midpoint should be consistent and can be expressed as standard deviations

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9
Q

Where do the difference measures of data lie in positively and negatively skewed distributions?

A

Positive: median in middle, mode to the left (higher) and mean to the right (lower)
Negative: median in middle, mode to the right (higher) and mean to the left (lower)

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10
Q

What is quantitative data?

A

Information that represents how much or how long, meaning quantities. Can be represented as a number that can be counted and quantified

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11
Q

What is qualitative data?

A

Information in words that cannot be counted or quantified but can be turned to quantitative data by placing the information into categories and counting frequency (creating nominal data)

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12
Q

What is primary data?

A

Information observed or collected directly from first-hand experience, such as data taken directly from a researcher through self-report or interviews etc.
- the data collected would be specifically related to an aim of hypothesis of a study

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13
Q

What is secondary data?

A

Information used in a research study that wasn’t taken directly from the researcher but by someone else for an original purpose other than the current research taking place e.g published data
- review studies such as a meta-analysis will always use secondary data
- correlation studies often use secondary data to draw conclusions

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14
Q

What is content analysis?

A

A method of quantifying qualitative content via coding/categorisation

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15
Q

What are the 6 aspects of a scientific report?

A

. Abstract
. Introduction
. Method
. Results
. Discussion
. References

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16
Q

Why do we write scientific reports?

A

. To publish results to a wider community and get people to know about your research
- scientific reports ensures that all details of what was done and how it was done is included, so that the research can be replicated exactly by someone else

17
Q

What is an abstract in a scientific report?

A

Concise summary of the report, around 150 words telling the reader about the major elements of the report: aim, hypotheses, method, results and conclusion

18
Q

Why is an abstract important in a scientific report?

A

So that researchers don’t have to read hundreds of reports when conducting new research. They use these to find the most relevant reports to read in full

19
Q

What is the introduction in a scientific report?

A

Literature review and overview of the current research field
- written using the funnel technique, so that broad themes are covered first, and these are narrowed in closer and closer to the current piece of research
- ends with the aim and hypothesis of the current research

20
Q

What is the method section of a scientific report?

A

Detailed enough section for someone else to pick up the report and replicate the research consistently, should include:
. Research design and method
. Sample and participants
. Apparatus/equipment
. Procedure
. Ethics

21
Q

What should be in the results section of a scientific report?

A

. Key findings in relation to the hypothesis
. Descriptive statistics such as tables, graphs, measures of central tendency and dispersion
. Inferential statistics that refer to the choice of statistical test, level of significance

22
Q

How is the results section of a scientific report different for qualitative research?

A

The results will more likely include analysis of themes and categories

23
Q

What is in the discussion section of a scientific report?

A

. Verbal summary of results at the start, including relating the results to the aim and hypothesis from intro
. Compares results to previous research outlined in introduction
. Limitations of research discussed, and possible suggestions of addressing these in future research
. Implications of the research for real life are acknowledged

24
Q

What is the referencing section of a scientific report?

A

All the sources the researcher used to gather/support their initial information and apparatus for their investigation e.g books, articles, websites

25
Q

Why are references needed in a scientific report?

A

To avoid accusations of plagiarism

26
Q

How are references done for books in a scientific report?

A

Author (Surname, first letter of forename) (Year of publication). Title of work: Capital letter also for subtitle. Location:publisher

27
Q

How are references done for journal articles?

A

Author, & Author. (Date of publication). Title of article. Title of journal (italics), volume number, page range. Retrieved from (URL)

28
Q

What is included in the appendices of a scientific report?

A

. Consent form
. Debrief form
. Questionnaires
. Diagrams
. Raw data
. Statistical calculations

29
Q

How is content analysis carried out?

A

. Researchers need to establish their aims and hypotheses
. Need to familiarise yourself with the data so that a suitable coding system can be developed, with behavioural categories/themes
. With these suitable codes, the researcher can systematically re-analyse the data to identify examples of each code that can be tallied quantitatively
. Represent data on graphs for quantitative analysis and use of descriptive statistics

30
Q

What level of measurement does the tallying of behavioural categories create?

A

Nominal data (frequencies)

31
Q

How can you assess the reliability of content analysis using inter-observer reliability?

A

. Use a second researcher
. They should indecently read the interviews/listen to recordings separately and devise behavioural categories
. The behavioural categories must be agreed on
. Tally the occurrences of each category
. Compare the tallies and carry out correlational analysis between the results of the two observers

32
Q

What correlation coefficient is needed to accept the findings of inter-observer reliability?

A

+0.8 or higher

33
Q

How can you assess the reliability of content analysis using test-retest?

A

. Repeat content analysis on a different occasion using the same data
. Compare results of the two repetitions
. Calculate a correlation between the two, accepting a correlation of +0.8.