Research Methods Flashcards

1
Q

What are case studies?

A

An in-depth investigation, description and analysis of a single individual, group, institution or event.

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2
Q

What is a correlation coefficient?

A

A number between -1 and +1 that represents the direction and strength of a relationship between co-variables.

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3
Q

If a correlation coefficient is close to 0, does that mean it is a strong or weak relationship between co-variables?

A

Weak

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4
Q

What type of data does content analysis produce?

A

Quantitative

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5
Q

What type of data does thematic analysis produce?

A

Qualitative

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6
Q

What is coding the initial stage of?

A

Content analysis

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7
Q

What type of research is content analysis?

A

Observational

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8
Q

What is thematic analysis a form of?

A

Content analysis

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9
Q

What are the strengths of case studies?

A
  • Offers rich, detailed insights on very unusual, atypical forms of behaviour.
  • Contributes to our understanding of typical functioning with real world evidence.
  • Generates hypotheses for future study.
  • Can provide solitary contradictory evidence which leads to the revision of an entire theory.
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10
Q

What are the weaknesses of case studies?

A
  • Generalisation is difficult due to small sample sizes.
  • Info is based on subjective selection and interpretation of the researcher (Little Hans - Freud).
  • Low validity: personal accounts by participants or family/friends may be prone to inaccuracy and memory decay.
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11
Q

What are the stages of content analysis?

A
  1. Read/watch a selection of the material.
  2. Identify important categories.
  3. Work through all the data counting the number of occurrences of each of the categories (coding).
  4. The data can remain in quantitative form.
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12
Q

What are the stages of thematic analysis?

A
  1. Read and reread (or watch) the data transcripts to become familiar with the material (data familiarisation).
  2. Reread the material and code it. Look for words or phrases that come up repeatedly.
  3. Combine these codes into larger themes. Themes should be coherent and meaningful patterns in the data, relevant to the research question.
  4. The data would stay in qualitative form and the themes described with examples.
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13
Q

What are the strengths of content analysis?

A
  • Can circumnavigate ethical issues (no issues with obtaining permission).
  • High external validity.
  • Flexible, in the sense that it may produce both quantitative and qualitative data.
  • Quantitative data is objective.
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14
Q

What are the weaknesses of content analysis?

A
  • The communications are analysed outside of the context in which they occured.
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15
Q

What are the strengths of thematic analysis?

A
  • Qualitative data provides more detailed information to explain complex issues.
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16
Q

What are the weaknesses of thematic analysis?

A
  • Time consuming
17
Q

What is triangulation?

A

Comparing results from a variety of studies of the same topic or same person to assess validity.

18
Q

What inferential test to use for:
Nominal data
Unrelated difference

A

Chi squared

19
Q

What inferential test to use for:
Nominal data
Related difference

20
Q

What inferential test to use for:
Nominal data
Association/correlation

A

Chi squared

21
Q

What inferential test to use for:
Ordinal data
Unrelated difference

A

Mann whitney

22
Q

What inferential test to use for:
Ordinal data
Related difference

23
Q

What inferential test to use for:
Ordinal data
Association/correlation

A

Spearmans Rho

24
Q

What inferential test to use for:
Interval data
Unrelated difference

A

Unrelated t test

25
Q

What inferential test to use for:
Interval data
Related difference

A

Related t test

26
Q

What inferential test to use for:
Interval data
Association/correlation

27
Q

Analogy to remember inferential test table:

A

C S C M W S U R P
Cats swim cause moles won’t, so understandable, right Patrick?