Aes conference Sydney 2011 Ralph g straton Murdoch University



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AES Conference Sydney 2011 Ralph G Straton Murdoch University

    • Evaluation Design for Differential Effects Evaluation

Evaluation Design for Differential Effects Evaluation Overview

  • Nature of Evaluation Design

  • Evaluation Questions

  • Inference Issues

  • Evaluation Design for Differential Effects

  • Qualitative Evaluation and Differential Effects

  • Conclusion



Evaluation Design for Differential Effects Evaluation Nature of Evaluation Design

  • Blueprint for the Study

    • What information to be gathered
    • From which Sources
    • When it is to be gathered
    • How will it be Obtained
    • Limits Nature and Extent of Information Obtained


Evaluation Design for Differential Effects Evaluation Evaluation Questions

      • Does the program have an effect? and
      • What are the effects of the program?
      • Does the program achieve its goals? and
      • To what extent does the program achieve its goals?
      • Is the program better than the present program (or
      • some other specific program)? and
      • Is the program the best program?


Evaluation Design for Differential Effects Evaluation Evaluation Questions

      • To what extent are program outcomes related to status on Characteristic X?
      • Do NESB students perform as well as ESB students on the new ‘Culture Free’ maths program?
      • Is performance among NESB students related to their culture of heritage?


Evaluation Design for Differential Effects Evaluation Inference Issues

  • Idealised View of Evaluation Inference

    • Inference to the Population Sampled From utos > UTOS
  • Reality of Inference in Evaluation

    • Inference to ‘Other’ Populations utos > *UTOS
  • Maximising Utility of Evaluation Inferences

    • Choose Sample to Reflect ‘Other’ Populations
    • Observe Relevant Person, Program and Setting Characteristics




Evaluation Design for Differential Effects Evaluation Evaluation Design for Differential Effects

  • Identify and Observe Relevant Characteristics Variables

  • Build Program Variations into the Design

  • Observe ad hoc Program Variations

  • Determine and Report Diversity on Relevant Variables

  • Determine and Report Program Interactions









Evaluation Design for Differential Effects Evaluation Qualitative Evaluation and Differential Effects

  • Include Qualitative Descriptions of Program Variations

  • Include Qualitative Descriptions of Program Settings





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