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Technical Scaling Decisions: Do They Matter

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The Psychology of Pattern Scoring: The Tradeoff between Accuracy and Transparency ... Use the response pattern of each student to estimate the scale score ... – PowerPoint PPT presentation

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Title: Technical Scaling Decisions: Do They Matter


1
Technical Scaling Decisions Do They Matter?
The Psychology of Pattern Scoring The Tradeoff
between Accuracy and Transparency
  • Jennifer L. Dunn
  • Center for Assessment

2
Does the method used to estimate scale scores
matter?
  • But first.
  • Where do scale scores come from?
  • If using the 3PL IRT Model
  • Difficulty, Discrimination, Guessing
  • There are a couple of options
  • Total test Number Correct
  • Item Response Patterns

3
Number Correct
  • Based on characteristics of the total test
  • Count the correct responses
  • Find the scale score that corresponds to the count

4
Using Number Correct
  • Advantages
  • Simplicity
  • Transparency
  • One to one relationship between scale scores and
    raw scores
  • Disadvantages
  • Does not use all available information
  • Theoretically less reliable
  • Potentially biased
  • Getting scale scores below guessing can be
    problematic
  • Getting a scale score for perfect number correct
    scores is problematic

5
Response Patterns
  • Based on the characteristics of the items
  • Use the response pattern of each student to
    estimate the scale score
  • Statistical optimal weighting of item responses
  • The properties of the items that a student gets
    correct/incorrect matter

6
Using Response Patterns
  • Advantages
  • Maximal use of available information
  • Theoretically more reliable
  • Theoretically less biased
  • MLE
  • Minimize bias
  • EAP
  • Scale score estimates for all students
  • Disadvantages
  • Students with the same raw score can have
    different scale scores
  • More complex
  • Not transparent
  • MLE
  • No estimates for perfect and 0 scores
  • EAP
  • Biased estimates for extreme abilities

7
Does it Matter?
  • What are the differences between methods
  • Random Error
  • Systematic Error
  • If the characteristics of the items change do the
    differences between methods change?
  • Difficulty
  • Discrimination

8
Simulation
  • Need to know TRUTH
  • Create Students
  • 10,000 Students
  • Create Items
  • 29 Multiple Choice Items
  • State Science Assessment
  • Estimate Scale Scores
  • Number Correct (TCC)
  • Response Pattern (MLE)
  • Response Pattern (EAP)
  • Compare Estimates to TRUTH

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11
Does it Matter?
  • What are the differences between methods
  • Random Error
  • Systematic Error
  • If the characteristics of the items change do the
    differences between methods change?
  • Difficulty
  • Discrimination

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Thoughts and Conclusions
  • What are the differences between methods?
  • Very little difference between the approaches
  • TCC has similar RMSE and Bias as MLE
  • EAP has lower RMSE but higher Bias
  • Because of transparency, TCC seems the best
    option
  • Do the characteristics of the items matter?
  • Increasing item discrimination
  • Decreases RMSE
  • Increases extreme ability bias of TCC estimates
  • The changes are not meaningfully significant
  • Improving item Discrimination is a good thing
  • Recommend TCC Scale Scores for simplicity
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