Perspectives on Developing and Publishing Clinical Tests David S. Herzberg, PhD.

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Perspectives on Developing and Publishing Clinical Tests David S. Herzberg, PhD

Transcript of Perspectives on Developing and Publishing Clinical Tests David S. Herzberg, PhD.

Page 1: Perspectives on Developing and Publishing Clinical Tests David S. Herzberg, PhD.

Perspectives on Developing and Publishing Clinical Tests

David S. Herzberg, PhD

Page 2: Perspectives on Developing and Publishing Clinical Tests David S. Herzberg, PhD.

A Career Path Less Travelled . . .

• PhD, Clinical Psychology, 1998• Post-Doc in NP, 1998-2000

• Chief Operating Officer• (VP R&D, 2009 – 2014)• (Project Director, 2000-2008)

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Topics

• Overview of Test Publishing• Test Construction–Item Scaling–Norms Development

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Test Publishers have a Trade Group!

• Certification/Licensure• Education• Industrial/Organizational• Workforce Skills Credentialing• Clinical

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Clinical Publishers

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Test Publishing Is A Process . . .

• Author: Acquiring IP through publishing contract• Planning: Deliverables, budget, timeline• R&D: Data collection, analysis, technical writing• Editorial: Optimize the text content• Design: Optimize the user interface• Technology: Online administration, scoring• Marketing: Present the work to an audience• Launch: Publish test for clinical use

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Topics

• Overview of Test Publishing• Test Construction–Item Scaling–Norms Development

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How Difficult Is A Test Item?

WISC-IV Comprehension9. Tell me some reasons that you should turn off lights when no one is using them.

• Sample A: Typically developing 4th graders– 90% ≥ 1-point response

• Sample B: 2nd graders with moderate ADHD– 30% ≥ 1-point response

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Rasch Measurement Principles

• Also called IRT, single-parameter models• Assumes unidimensionality of measurement• Single numerical measure for both item

difficulty and person ability– Logit scale: mean = 0, SD = 1– Can be transformed

• “Sample-free” measurement

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Rasch Probability Function

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Item Characteristic Curve

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Item Information Function

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SIPT Space Visualization Item Map

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Topics

• Overview of Test Publishing• Test Construction–Item Scaling–Norms Development

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Normative Reference Samples

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Normal Curve and Standard Scores

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Are these norms?

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Normally Distributed Test Scores

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Skewed Distribution Within Narrow Age Band

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Skewed Distributions Within Age Bands Lead To Nonsensical Standard Scores

Age Year Raw Score Mean SD

6 45 8

7 47 4

8 49 9

9 51 7

Example: Raw Score = 40• Age 7 years, 11 mo, 29 days: SS = 74• Age 8 years, 0 mo, 1 day: SS = 87 ????

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Using Excel To Smooth Means, SDs

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Inferential Norming

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Questions or [email protected]

www.wpspublish.com