7. RESEARCH METHODS (Content and Thematic analysis) Flashcards

1
Q

What is content analysis in psychology?

A

Content analysis is a type of observational study where behaviour is observed indirectly in visual, written, or verbal material. It turns qualitative data into quantitative data by identifying and counting categories or themes.

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2
Q

How does content analysis turn qualitative data into quantitative data?

A

In content analysis, researchers identify coding units such as themes or categories, then count how often each category appears in the data, producing quantitative data.

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3
Q

What are some common examples of material used in content analysis?

A

Examples include books, films, advertisements, or other forms of media, where researchers observe and categorize content.

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4
Q

What is the process of coding in content analysis?

A

Coding involves categorizing large data sets into meaningful units. Researchers read through the material, identify potential categories, and then count how often items fall into these categories.

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5
Q

How can content analysis data be represented?

A

Data can be represented in two ways:
* Quantitative analysis: Counting instances in each category.
* Qualitative analysis: Describing examples within each category.

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6
Q

What is an example of how content analysis can be used?

A

An example would be analysing books to study how men and women are portrayed, by categorizing instances and counting how often each portrayal appears.

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7
Q

What design decisions are involved in content analysis?

A

Design decisions include sampling methods (e.g., every page of a book or a random selection) and how often to sample behaviours (e.g., every 30 seconds in a TV ad).

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8
Q

What is thematic analysis in psychology?

A

Thematic analysis is a qualitative analysis method where researchers identify recurring themes or patterns in the data without converting it into numerical data, unlike content analysis.

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9
Q

How does thematic analysis differ from content analysis?

A

In content analysis, the data is quantified (turning qualitative data into quantitative), while in thematic analysis, the focus remains on identifying and describing themes, without quantifying the data.

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10
Q

What is the process of thematic analysis?

A

The process involves:
1. Familiarizing with data by reading it repeatedly.
2. Coding the data with annotations.
3. Identifying recurring themes.
4. Re-reading to ensure themes are comprehensive.
5. Drawing conclusions and contextualizing with previous research

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11
Q

What types of data can thematic analysis be applied to?

A

Thematic analysis can be applied to various types of qualitative data such as interviews, transcripts, books, advertisements, or even media like graffiti or videotaped play sessions.

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12
Q

How does thematic analysis handle the data?

A

Thematic analysis focuses on identifying repeated themes that emerge from the data, which can then be developed into broader categories.

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13
Q

What are the main intentions of thematic analysis?

A

The main intentions are:
* To impose order on complex data.
* To represent the participant’s perspective.
* To summarize data and identify key themes.
* To create a manageable quantity of data.

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14
Q

Why is thematic analysis considered time-consuming?

A

Thematic analysis is time-consuming because it involves repeatedly reviewing data, coding it, and ensuring that the themes adequately represent the data.

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15
Q

What are the strengths of content and thematic analysis?

A
  • Flexibility: Can produce both qualitative and quantitative data depending on the research aim.
  • High ecological validity: Observes real communications, such as current books or ads.
  • Replicability: Can be replicated if sources are accessible (e.g., videos, articles).
  • No major ethical issues: Often uses publicly available material, avoiding consent issues.
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16
Q

What are the limitations of content and thematic analysis?

A
  • Observer bias: Different researchers may interpret categories differently.
  • Cultural bias: Interpretation can be influenced by the observer’s cultural background.
  • Artificial distinctions: Categories might be arbitrary and miss some behaviours, reducing data validity.
17
Q

What is the key difference between content and thematic analysis?

A

The key difference is that content analysis focuses on the frequency of specific categories (quantitative data), while thematic analysis focuses on identifying themes and patterns (qualitative data).