Content analysis

• What types of cases do case studies often involve?

  Unusual individuals or typical cases
• What methods do researchers use to construct a case history?

  Observations, interviews, and questionnaires
• What type of data is mainly collected in case studies?

  Qualitative data
• What type of data do psychological tests produce?

  Quantitative data
• What are the strengths of case studies?

  • Rich, detailed insights
  • Increases validity of data collected
  • Useful for studying rare behaviors/conditions
  • Helps understand typical functioning
• What are the weaknesses of case studies?

  • Prone to researcher bias
  • Small sample sizes limit generalizability
  • Subjective interpretation may reduce validity
• What is gynotikolobomassophobia?

  A fear of women's ear lobes
• How does Patient X's phobia affect his social interactions?

  He cannot talk to women unless their ears are covered
• What method did the psychologist use to study Patient X?

  Detailed interviews and diary keeping
• What conclusion did the psychologist reach about Patient X's phobia?

  It may be due to childhood trauma
• What are the main features of a case study?

  • In-depth exploration of an individual or event
  • Use of qualitative and quantitative data
  • Involves various data collection methods
• What ethical issues are associated with case studies?

  • Informed consent may be required
  • Confidentiality of participant information
  • Potential for emotional distress in participants
• What is content analysis?

  A type of observational research
• How are people studied in content analysis?

  Indirectly via their communications
• What is the first stage of content analysis?

  Coding the data
• How can quantitative data be produced in content analysis?

  By counting occurrences of words or phrases
• What is thematic analysis in content analysis?

  It aims to produce descriptive themes

  
• What are the steps to conduct a content analysis?

  1. Watch/read the material
  2. Identify categories/themes
  3. Create a checklist
  4. Tally examples in each category
• What are the strengths of content analysis?

  • Produces both quantitative and qualitative data
  • Flexible approach adaptable to research aims
  • No consent issues with public domain materials
• What are the weaknesses of content analysis?

  • Potential researcher bias in interpretations
  • Lack of objectivity in thematic analysis
  • May threaten validity of findings
• What type of data can content analysis produce?

  Both quantitative and qualitative data
• What is the purpose of coding in content analysis?

  To categorize data into meaningful units
• How does thematic analysis differ from content analysis?

  Thematic analysis focuses on themes, not counts
• What might researchers do that could reduce the validity of content analysis conclusions?

  Attribute unintended motivations to speakers