Data Analysis

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Data Analysis


Data Analysis

Once the data have been collected, it must process, analyzed, and interpreted. We do that by using the following methodologies.

  • Basic Cross-Tabulations — with Statistical Tests of Significance (i.e., t-tests, Chi-Square)
  • Advanced Statistical Analysis
    • Analysis of Variance
    • Chi-Square Automatic Interaction Detector (CHAID)
    • Cluster Analysis (Segmentation)
    • Conjoint Analysis (Trade-Off Analysis)
    • Correspondence Analysis
    • Factor Analysis
    • Linear Regression
    • Logistic Regression
    • Multi-Dimensional Scaling
    • Perceptual Mapping
  • Content Analysis — of textual databases, such as responses to open-ended survey questions, transcripts of focus groups, in-depth interviews or conferences.
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