SY003: Alternatives to Ordinary-Least Squares Slope Calculations

Friday, February 16, 2024
4:00 PM–5:20 PM CST

  • PMD: 1
  • Cost: Included in Registration
  • Skill Level: Advanced

Learner Objectives

This session will help participants…

  1. understand alternative calculations of responsiveness to intervention metrics derived from ordinary least squares regression.
  2. learn how to calculate Theil-Sen and the repeated median regression slopes from progress monitoring data.
  3. appraise the extent to which Theil-Sen and the repeated median regression are viable alternatives to ordinary least squares regression.

Description

Ordinary-least squares (OLS) assumes the absence of outliers and normality of residuals. Two alternatives to computing slope are compared given progress monitoring data often violate these assumptions.

Presenter(s)

Chung Wai Yue, Indiana University of Pennsylvania
Timothy J. Runge, Indiana University of Pennsylvania
Caitlyn Pike, Indiana University of Pennsylvania
Jason A. Pedersen, Derry Township School District

Contributor(s)

Mike Boneshefski, Drew W. Hunter

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