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Performance Evaluation: Proven Approaches for Improving Program and Organizational Performance by Ingrid Guerra-López

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KEY POINTS

  • Data analysis helps evaluators identify patterns and fortify arguments used to support conclusions and recommendations.
  • When you are dealing with soft data, carefully structured discussion plays an important role in analysis.
  • The scale at which a given data set is measured plays a central role in selecting appropriate data analysis techniques.
  • There are two types of statistics: descriptive and inferential. Descriptive statistics analyze a given data set, and inferential statistics help draw connections between a sample and the group from which the sample was drawn.
  • While data analysis begins to reveal emergent themes and patterns, interpretation is necessary to attach meaning to such findings that will later lead to plausible conclusions ...

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