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Case Study

Explain how the research team should apply the core components of content analysis to systematically measure environmental coverage in this dataset. Describe what they must establish before analyzing the files, how they locate their targets, and how they can quantify their observations.

Case context: A research team is investigating how a nightly news show covers environmental topics. They decide to use content analysis on a database of video recordings and transcripts from the past year.

Question: Explain how the research team should apply the core components of content analysis to systematically measure environmental coverage in this dataset. Describe what they must establish before analyzing the files, how they locate their targets, and how they can quantify their observations.

Sample answer: The research team must first specify environmental keywords, phrases, or ideas of interest (e.g., 'climate', 'pollution', 'conservation'). They will then search the transcripts and video recordings to locate all occurrences of these elements. Finally, they can measure and quantify the coverage by counting the frequency of the terms or timing how many minutes are devoted to these environmental topics during the news show.

Key points:

  • Explains the need to pre-specify keywords, phrases, or ideas of interest related to the environment.
  • Describes searching the transcripts/recordings to locate all occurrences of those specified terms.
  • Explains how to quantify the data using methods like counting the occurrences or timing the duration of the segments.

Rubric: Full credit: The student demonstrates comprehension by explaining: 1) the preliminary step of defining specific keywords/ideas of interest, 2) the action of locating all occurrences within the news data, and 3) quantifying the occurrences via counting or timing. Partial credit: The student explains some but not all of these concepts in the context of the news show.

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Updated 2026-05-26

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KPU

Research Methods in Psychology - 4th American Edition @ KPU

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