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Schoolwide Data Collection

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Schoolwide Data Collection Powered By Docstoc
					Data Collection for the
   PBISAZ Project

    Carl J. Liaupsin
  University of Arizona
Agenda

Data for PBISAZ project requirements
Data for decision-making
Systems and methods for collecting data
Making decisions based on data
Demo decision making
Why Collect Data for PBISAZ?

Support PBISAZ Project existence
Measure progress toward program goals
PBISAZ Project Requirements

   Number of incidents resulting in office referrals
   See materials for definition of incident types

    Tardy                     Fighting
    Language                  Vandalism
    Repeated Minor            Theft
    Defiance                  Substances
    Disruption                Weapons
    Skip Class
                             Other
    Harassment
Methods for Collecting Project Data

  Manual                    Electronic
    Hand-search at the        Systematically enter
     end of each quarter         into a database
    Tally incident types      Enter into quarterly
    Enter into quarterly        report
     report
    Small up-front             Moderate to large up-
     investment                  front investment
    Limited usefulness         Maximum usefulness
     at the school level         at the school level
Why Use an Electronic Format?

Measure progress toward program goals
Motivation and goal setting for staff
Invaluable information to direct team and
 administrative decisions
Fast, easy access to summary data
Flexibility to quickly analyze multiple
 questions
PBISAZlity to analyze data on a regular
 basis
Would this be helpful?
How about this?
Systematic Process for Data Collection

  Select a data collection program/software
  Distinguish office / non-office behaviors
  Align office referral forms
  Determine a paper-handling procedure
  Designate a staff member to enter data
  Determine a schedule for data reporting
  Train staff member in use of the program
  Train all staff in the new data collection process
Select a data collection program

  “Off-the-shelf” database software
     Microsoft Excel
     Microsoft Access
  Custom software
     State/District
     Commercial
  Research efforts
     SWIS
     PBISAZ
Excel Template:
   Local (secure)
   Free
   Easy to alter
   Manual, demo template, blank template
   Student ID
   Custom graphs
Excel Template: Demo Entry Page
Excel Template: Demo Graph
Excel Template: Demo Graph II
SWIS : http://www.swis.org
   $250 per year
   Data resides on U or Oregon server
   Relational database
   Student identification
   Training required
   3950 schools currently using the system
SWIS: Demo Entry Format
SWIS: Demo Results
Distinguish office / non-office behaviors

 Adds to the validity of the data
 Develop a list of behaviors for referral
 Seek the agreement of staff (80%)
 Provide examples and non-examples
Develop other reporting categories

 Student
 Grade
 Referring teacher
 Location
 Time
 Consequence
Align office referral forms

 Review current office referral form
    Inclusion of all category items
    Other data
      Date
      Parent signature
      Comments
      Received by
PBISAZ Office Referral Format
Determine a paper-handling procedure

 Who will receive referrals?
 Where will referral forms be kept until
  entered in the data collection system?
 When will the data be entered?
 Where will referral forms be kept after
  entry into the data collection system?
Designate a staff member to enter data

 Coordinate with the paper handling
  procedures
 Possibilities?
   Support staff
   Team member
   Teacher
   Parent volunteer
   Additional staff member
Determine a schedule for data reporting

 How often will reports / graphs be
  generated?
   A set for use at climate committee meetings
   A set for use in reporting to staff
   A set for use by administrators
Train staff member in use of the program

  PBISAZ and SWIS provide training
  Powerschool can provide training
  Excel Template includes a self-
   instructional manual
  Custom systems will require development
   of training.
Train all staff in the data collection process

 Review office referrals v/s non-office
  referrals
 Introduce the new referral form
 Describe the paper-handling procedure
 Inform staff of the frequency of feedback
 Decide who else will have access to the
  database
PBISAZ is providing assistance with:

  Office referrals / non-office referrals
  Develop categories for office referrals
  Align office referral forms
  Determine a paper-handling procedure
  Designate a staff member to enter data
  Select a data collection program
  Train staff member in use of the program
  Train all staff in the new data collection process
Improved Decision Making w Data

 Limited Model:


    Problem                      Solution



 Improved Model:


    Problem        Information   Solution
Sharing Data

 Share with team
 Share with all
 Share frequently
 Share problems
 Share successes

 Data will be collected accurately if all see the
  value of data collection
Problem Solving with Data

Start with questions, not with data
Look at data in “layers”
Don’t get “lost” in the data
Decision Questions

Is there a problem?
What is the problem?
What systems are affected?
What is the problem?
Where is the problem?
Interpreting Office Referral Data:
Is there a problem?

 Absolute level (depending on size of school)
    Middle, High Schools (> 1 per day per 100)
    Elementary Schools (>.5 per day per 100)
 Trends
    Peaks before breaks?
    Gradual increasing trend across year?
 Compare levels to last year
    Improvement?
Elementary School with 200 students
Middle School with 500 students
Is there a problem?
Middle School with 500 students
Data Decision Rules
School-wide?
Classroom or non-classroom?
Classroom or non-classroom?
Targeted / Intensive?
Targeted / Intensive?
Review / Questions

Data collection and analysis is helpful to
 your school, district, and the project
PBISAZ can help you collect data
Develop a procedure
Share your data
Approach the data with questions
Questions?

				
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posted:5/6/2012
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