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Good Afternoon!
• Thank you for joining us• After you sit and get
comfortable, please work with a partner and complete the
Crossword Puzzle“MiBLSi Data Tools”
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Susan Bogart and Christine [email protected]@wmich.edu
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Our Experience with MiBLSi Data Tools
• We can predict problem behavior so we can prevent problem behavior
• Team based decision making• Making the smallest change for a big
impact
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Data
• Office discipline reports• Behavioral incidents• Attendance• Suspensions/Detentions• Observations/Tracking Forms• Self-assessments• Surveys, focus groups
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ONLY 3 PBS Data Tools required by MiBLSi
• EBS Self Assessment Survey
• EBS Team Implementation Checklist
• SWIS
PBS Tools
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• Big 5 reports– Only required to keep data on
“major” behaviors– Generate and review at monthly
team meetings and @ data review – See “Guidelines for Data-Based
Decision Making”
swis.org
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• Year End Report
– # ODR’s per day per 100 students– Compare to national average– For a school with 300 students Elementary schools: 1 major daily Middle schools: 3 majors daily
swis.org
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EBS Self-Assessment Survey
• free, all staff, anonymous, every spring, password is 6 numbers for all to use, web based
See “Data Based Decision Making Flowchart”
pbssurveys.org
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EBS Self-Assessment Survey
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EBS Team Implementation Checklist
• free, 4 times a year, leadership team discusses questions, consensus, one person input, same 6 number password
• if your team says “I” to 80% or more of the questions then correlation to reduced ODR’s
pbssurveys.org
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EBS Team Implementation Checklist
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0.813
0.59
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
Not Met Criteria Met Criteria
OD
R p
er
100 S
tudents
per
day
Meeting 80% criteria on Team Checklist
Save approximately 7 school days/year!
n = 31n = 22
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PBS Surveys Homepage
www.pbssurveys.org
MiBLSi Websitewww.cenmi.org/miblsi
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DIBELS, SWIS & MoreOH MY!
• DIBELS• SWIS• SET• EBS• PBIS• SW-PBS• Moodle• ODR
• Sugai• Horner• Todd• Sprick• CHAMPS• Sopris West• TIC• BofQ
• TAP• FBA• BIP• FACTS
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Coaching: Patterns & PrioritiesSchool Z Y X W V U T S R Q P O
# of ODRs (major)
12 13 x 177 x 67 71 64 81 100 331 166
Average Major ODR per day per 100 students
.02 .07 x .22 x X .10 .16 .18 .40 .47 .11
Average all ODR per day
.80 .75 x 11.7
x 1.4 n/a 1 .83 6.3 4 1.5
Grade priority
K 3 x 4 x x 3 K 3 3 n/a 6
Time priority
12:00 to 12:4
5
End of
day
x 12:30to
1:15
x 12:00 11:30 to
1:00
11:45 to
12:15
12:15 to
12:45
12:00 to
1:00
12:00 to1:00
2:30
Location priority
Class
Bus x Class
x Class Play-groun
d
Class Class Class Class
Bus
Major Problem Behavior priority
PhysAgg
Ha-rass-men
t
x Agg/Figh
t
x Agg/fight
Agg/fight
Agg/fight
Dis-respec
t
Agg/fight
Disre-
spect
Disrupt
Pattern
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Coaching: Patterns & PrioritiesTeam Time
Using the Lighthouse District Graph please reflect on these questions:
1) Does this data guide you as a coach regarding priorities and patterns?
- What data will you follow-up?
2) What do you see that concerns you the most and what actions will you take?
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Group Data
Focus is on:– What you can predict
– What you can prevent
– What patterns you see in your data
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Strategic Data
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Intensive Student Data
• Focus is on:
– Brining together accurate information to assist in completing a Functional Behavioral Assessment
– Once FBA is completed, can be used to write an effective behavior plan
– Data should also be helpful in evaluating whether the plan is working
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Intensive Student Data
• SWIS Individual Student Report• Additional data collection• Any data collected by school/teachers
Don’t Forget!!• Schoolwide and Group Analysis• Reading/Academic Data
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Individual Student Data
• A common “Complaint”– “It’s too difficult to fill out a referral form for the
kids that have persistent/reoccurring problem behaviors”
– What to do?• Modify the referral form!• Keep critical information included• See examples
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Intensive Student Data
Tracking Form0_occurrences = 1 occurrence = 2 or more =
Tuesday
8:00
8:10
8:20
8:30
8:40
Tuesday
1st Hour
2nd Hour
3rd Hour
4th Hour
5th Hour
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Intensive Student DataWhat Questions do we ask as we look at the
data?• Antecedent and Setting Event Questions:
– Does the problem behavior occur • at a certain time of day?• in a certain classroom/with a certain teacher?• in structured vs nonstructured settings?• with certain peers?
• Behavior Questions:– Is the problem behavior consistent/similar each time?– Are these major or minor issues?
• Consequence Questions:– Is the student trying to gain something or avoid something?– Does the Administrative Decision play into the motivation for the
problem behavior? (i.e. wants to obtain adult attention and has a conference with the teacher each time the behavior occurs)
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Intensive Student DataTeam Time
• Look at the data provided regarding three Intensive students in relationship to the schoolwide and group data provided.
1. Should the student’s problem behavior be problem-solved at the individual or group level?
2. What patterns/thoughts do you have regarding next steps in problem solving based on the questions you asked while looking at the individual student data?
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• MiBLSi measurement tools are graphic
• Data collection easy (<1% of staff time)
• We can utilize multiple data types & sources
• Data is relevant, timely, efficient and practical
• Helps us “refine a problem statement to a level of precision that allow functional solutions” Dr. George Sugai
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Systems (How things are done)
Data (How decisions are made)
Practices (How staff interact with students)
Lucile Eber, Ed.D.Illinois PBIS
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SYST
EMS
PRACTICES
Information
SupportingStaff Behavior
SupportingDecisionMaking
SupportingStudent Behavior
OUTCOMES
Social Competence, Academic Achievement, and Safety
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pbis.org
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School nameMinutesHoursDays
Average # of minutes
Enter info below Time Regained
567
Student
Average # of minutes student is out of class due to referral
136 102
Average # of minutes administrator needs to process referral
20
15
COST/BENEFIT ANALYSIS WORKSHEET
Number of referrals for this year 159
K - 2 Elementary 350+ students
Number of referrals for last year
17 13
Administrator8160 6120
K - 2 Elementary 350+ students
11340
3180
81608505
2385
6120
0
2000
4000
6000
8000
10000
12000
Last
Yea
r
Thi
s Y
ear
Tim
eR
egai
ned
Student Minutes Admin Minutes
K - 2 Elementary 350+ students
189
53
142
40
0
50
100
150
200
Last
Yea
r
Thi
sY
ear
Student Hours Admin Hours
K - 2 Elementary 350+ students
24
7
18
5
05
10152025
Last
Yea
r
Thi
sY
ear
Student Days Admin Days
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pbismaryland.org