2

Cards (19)

  • Data
    Present everywhere and can be analyzed to reach certain conclusions and make decisions
  • Data
    • Results
    • Discussion
  • Methods for Exploration
    1. _______
    2. _______
  • What to look for
    1. _______
    2. _______
  • Methods for Validation
    1. _______
    2. _______
    3. _______
    4. _______
  • Based on Your:

    1. _______
    2. _______
  • Data Cleaning/Preparation
    • Transform data into manageable formats
    • Identify relevant and usable data
  • Data Exploration
    1. Chunking
    2. Clustering
    3. Coding
    4. Memoing
  • Chunking
    Breaking down cleaned data and determining purpose of parts
  • Clustering
    Classifying chunks according to labels or basic codes
  • Coding
    • Creating labels and categories that represent data accurately
    • Moves from descriptive to interpretative to pattern
    • Moves from open to axial to selective
    • Moves from first to second cycle
  • Memoing
    Taking codes and clusters and adding notes to explain or define them
  • Data Interpretation and Presentation
    1. Narrative
    2. Chronological
    3. Critical Incidents
    4. Thematic
    5. Visual representation
  • Validity
    Verify or check if data collected is accurate and can support proposed discussions
  • Types of Validity
    • Content validity
    • Criterion-based validity
    • Construct validity
    • Triangulation
  • Content Validity
    • Extent to which questions on instrument and scores represent all possible questions
    • Face Validity - minimum index of content validity, tests degree to which results/instrument measures concept
  • Criterion-based Validity
    • Concurrent Validity - relates results to established/validated scores
    • Predictive Validity - relates results to future criterion to predict behavior
  • Construct Validity

    • Convergent Validity - determines correlation of different results
    • Discriminant Validity - determines lack of relationship among certain variables
  • Triangulation
    • Uses multiple validation methods to verify results
    • With different investigators
    • With different research methods (same research type)
    • With different research methods (different research types)