DataBased Decision Making

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Data-Based Decision Making

• Emma Martin, Ph. D.
• University of Oregon
• emartin_at_oregon.uoregon.edu

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Big Ideas

• Data can provide information for initial and
  on-going decisions.
• Data should be collected to answer specific
  questions.
• Data collection procedures must be efficient and
  effective.

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Why Collect Discipline Information?

• Decision making
• Professional Accountability
• Decisions made with data (information) are more
  likely to (a) be implemented, and (b) be
  effective

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Improving Decision Making
From
Problem
Solution
To
Problem Solving
Problem
Solution
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Why was SWISTM developed?

• School-wide behavior support (EBS)
• Focus on team
• Need for effective decision-making
• Primary Developers
• Seth May, William Ard III, Anne Todd, George
  Sugai, Aaron Glasgow, Jeff Sprague, Rob Horner

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Usefulness of Office Discipline Referral Data

• Office discipline referrals can serve as one
  general measure/indicator regarding the
  behavioral status of a school.
• Research support
• Colvin, Kameenui, Sugai, (1993)
• Skiba, Person, Williams (1997)
• Taylor-Greene, et al., (1997)
• Tobin Sugai (1999a, 1999b)
• Tobin, Sugai, Colvin (1996, 2000)
• Wright Dusek (1998)

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Office Discipline Referral Summaries

• Useful graphs for summarizing and analyzing
  office discipline referral (ODR) patterns
• Number of ODR per day per month
• Number of ODR/student
• Number of ODR by type of problem behavior
• Number of ODR by location
• Number of ODR by consequence/action
• Number of ODR/staff member

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Data Collection and Systems Change

• The Basic Idea
• The most efficient and durable strategy for
  strengthening a system is to provide regular
  reports on valued outcomes.

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SWISTMSchool-Wide Information System

• Defined
• SWISTM is a web-based computer application for
  gathering, entering, summarizing, reporting and
  using office discipline referrals.
• Purpose
• Improve the ability of school personnel to
  develop safe and effective educational
  environments.

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Features of SWISTM

• Only reports discipline data
• Office referrals
• Minor discipline offenses
• Highly efficient
• Local control
• Formatted for decision-making
• Information is available continuously
• Confidential, secure
• Can be combined with district data base

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Three Key Elements of SWISTM

• Data Collection System
• Coherent office discipline referral process
• Allocation of FTE to enter data, build reports
• Computer Application
• Web-based, continuously available, secure
• Decision-making
• Use of data
• School-wide
• Individual students

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Adopting SWISTM

• Each school works with a Local Certified SWISTM
  facilitator who assists the local school to
  implement and use SWISTM.
• SWISTM is currently available to any school in
  the United States and Canada.
• Use the Facilitator Link at www.swis.org to find
  a local SWISTM Facilitator.
• If a Facilitator is not available, your district
  can send someone to the next SWISTM Facilitator
  training.

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• For more information and for a demonstration of
  SWISTM visit www.swis.org