Section outline

  • Lecture: 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:     China Basin 6702

    • Session Slides:

    • Required Reading:

    • Optional Reading:

    • Assignment #2: Coding and Memoing on Project Data

      Carry out initial data coding and memo writing on project data. Based on this experience, develop a 5 page (single-spaced) analytical diary that documents your work. This diary should document the codes you develop (including those adopted and discarded), experiences applying the codes to your data, and self-reflexive and substantive memos.

      Note: if you do not have your own data, please let us know ahead of time so we can pair you with someone in the class who had data, or help you find data to analyze.

      Due date: Upload to course website by Fri, Feb 21 @ 5 pm