Section outline

  • Quantitative Content Analysis

    Content analysis is a systematic investigation aimed at describing the content of data. Quantitative content analysis is a method for describing the presence or frequency of occurrence of an element of content in a sample. This method can be applied to a number of data sources, including survey responses, patient interviews, recorded communication, and even visual data. Quantitative content analysis results in variables that can be used descriptively or in statistical analyses to test association with predictors or outcomes. In this session, we will provide an overview of quantitative content analysis, including examples of its use and practical experience with the process of developing a codebook from study data.

    Faculty:  Wendy Anderson

    Location:     Mission Hall 2108

    • Required Reading:

    • MacQueen et al Codebook Development File
      Not available unless: Your ID number contains 02

    • Optional Reading:

    • Quantitative content analysis of survey responses File
      Not available unless: Your ID number contains 02
    • Quantitative content anlaysis in an interview File
      Not available unless: Your ID number contains 02
    • Coding social networking site data File
      Not available unless: Your ID number contains 02
    • Roter Interaction Analysis System (RIAS) File
      Not available unless: Your ID number contains 02
    • Assessing a communication intervention File
      Not available unless: Your ID number contains 02
    • Verona coding of emotion in communication File
      Not available unless: Your ID number contains 02