Qualitative Research Methods

Approaches in Data Analysis in Qualitative Data

  • Content Analysis:

    • Focuses on the systematic classification of data.
    • Uses coding to identify key categories and issues.
    • Coding involves segmenting data into chunks and assigning labels or 'codes'.
    • Color-coding or numbering groups data chunks by code.
    • Reduces vast qualitative data into a summary form by identifying and coding pre-existing or new categories.
    • Example categories: malas (lazy), gembira (happy), tidak berminat (uninterested), bersemangat (enthusiastic), tiada masa (no time), penat (tired), kurang inspirasi (lacking inspiration), menarik (interesting).
    • Example grouping:
      • 1: malas, tidak berminat, tiada masa, penat, kurang inspirasi (negative).
      • 2: gembira, bersemangat, menarik (positive).

  • Thematic Analysis:

    • Focuses on the search and generation of themes from the dataset.
    • Similar to content analysis, it uses coding.
    • Aims to reduce data into a summary form.
    • Coding identifies and applies themes to data chunks.
    • Example:
      • Negatif (Negative): malas, tidak berminat, tiada masa, penat, kurang inspirasi.
      • Positif (Positive): gembira, bersemangat, menarik.
    • Staged process:
      • Familiarize with data by reading through the entire dataset without coding.
      • Re-read the data and generate initial codes by identifying main features.

  • Textual Analysis:

    • Broad term for research methods used to describe, interpret, and understand texts.
    • Information from text includes literal meaning, subtext, symbolism, assumptions, and values.
    • Methods vary by object and analysis purpose.
    • Analysis examples:
      • Story analysis: imagery, narrative perspective, and structure.
      • Film analysis: dialogue, cinematography, and use of sound.

  • Discourse Analysis:

    • Focuses on analyzing language used, considering the social context.
    • Reveals socio-psychological characteristics of individuals involved.
    • Considers previous communication, power relationships, and identity understanding.
    • Elements include:
      • intonation and tone
      • gestures
      • patterns of speech

Methods of Collecting Qualitative Data

  • Individual Interviews:

    • Structured interviews: interviewer asks the same questions in the same way to each respondent.
    • Semi-structured interviews: questions based on topic areas but allow adjustments and additions.
    • Unstructured interviews: have very little structure.

  • Focus Groups:

    • Collect information from groups to observe interactions and gather multiple perspectives.
    • Characteristics:
      • Recommended group size: 6 – 10 people.
      • Run several focus groups in a research project.
      • Members should have something in common.

  • Observation:

    • Used when data from other means is limited or difficult to validate.

    • Observing participants provides more reliable data on actual behavior.

    • Observational methods:

      • Covert: participants unaware of the researcher.
      • Overt: participants aware of the researcher's presence and role.
      • Participant observation: researcher integrates into a group to study their way of life, culture, and community structure; commonly used in ethnography.
      • Non-participant observation: researcher studies subjects from the sidelines, without participating; can be structured or unstructured.

Techniques for Collecting Data Through Observation

  • Written descriptions: record observations of people, situations, or environments by making notes.
  • Video recording: frees observer from note-taking and allows repeated review of events.
  • Photographs and artifacts: capture observable data of phenomena in single shots or series.
  • Documentation: a wide range of written materials can produce qualitative information.

Transcribing Qualitative Data

  • Transcribing is creating a written version of an interview, a full "script".
  • It is a time-consuming process.
  • Estimated time ratio: 5:1 (2.5+ hours to transcribe a 30-minute interview).
  • Good transcribing involves more than just transferring words.
  • A large proportion of message is how people speak e.g. tone and inflection indicate feelings and meanings.
  • Consideration should be given to how these feelings and meanings can be communicated on paper by using punctuation marks, and techniques such as upper-case lettering, underlining and emboldening.