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Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina at Charlotte

Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 1: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Team-Initiated Problem Solving (TIPS)

Rob Horner, Steve Newton, & Anne ToddUniversity of Oregon

Bob Algozzine & Kate AlgozzineUniversity of North Carolina at Charlotte

Page 2: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Background Information Grant – “Enhancing Data-based Decision

Making in Schools” Funded by U. S. Department of Education’s

Institute of Education Sciences 4-year project

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Page 3: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Project Goals Develop assessment instrument to measure decision

making & problem solving of PBS Teams Develop problem-solving model (“TIPS”) to

enhance data-based decision making Conduct initial workshops and do field testing in

Oregon & North Carolina Get feedback from field testers & revise Conduct 2 rigorous research studies – Does

instruction in use of TIPs actually enhance teams’ data-based decision making?

3

Page 4: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Themes & Assumptions Decision making is aided by access to data (“data-based

decision making”- DBDM) PBS Team meetings are a major context for DBDM Providing instruction on how to embed DBDM in a problem-

solving model (TIPS) will result in problem solving that is Thorough Logical Efficient Effective

Structure of meetings lays foundation for efficiency and effectiveness

4

Page 5: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

CollectCollect and Useand Use

DataData

Develop Hypothesis

Discuss andSelect

SolutionsDevelop andImplementAction Plan

Evaluate andRevise

Action Plan

Problem Solving Foundations

Team Initiated Problem Solving (TIPS) Model

Identify Problems

5

Page 6: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

CollectCollect and Useand Use

DataData

DevelopHypothesis

Discuss andSelect

SolutionsDevelop andImplementAction Plan

Evaluate andRevise

Action Plan

Problem Solving Foundations

Team Initiated Problem Solving (TIPS) Model

Identify Problems

6

Page 7: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Problem-Solving Foundations

Structure of meetings lays foundation for efficiency & effectiveness

Page 8: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

“Well begun is half done.”—Aristotle, quoting an old proverb

Page 9: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Important Structural Components Regular meetings & regular attendance The “right” people The right roles

Facilitator Minute Taker Data Analyst Active Team Members

Accomplishments – Products of successful meeting Meeting Minutes (record of decisions & tasks concerning

administrative/general issues) Problem-Solving Action Plan (record of decisions & tasks

concerning problems identified by team) (We’ll discuss these in more detail later in this workshop)

9

Page 10: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 11: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 12: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Before the Meeting… Room reserved “New business” items solicited for agenda Agenda produced Team member roles determined Data reviewed by Data Analyst; Analyst ready to lead team through

discussion of (a) possible new problems and (b) effects of in-process solutions on “old” problems

Computer reserved; access to SWIS online database assured LCD projector reserved & set up to project data (or team has some other

strategy for ensuring team members can review data at meeting) Team members have individual TIPS Notebooks to bring to meeting

(We’ll review the (a) before-meeting, (b) during-meeting, and (c) after-meetings responsibilities of individual team members later in this workshop)

12

Page 13: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

At Close of and After Meeting… Meeting Minutes and Problem-Solving

Action Plan completed (more on this later in this workshop)

Copy of Meeting Minutes & Problem-Solving Action Plan distributed to each member within 24 hrs.

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Page 14: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 15: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 16: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Activity #1 On the TIPS Foundations Checklist…

Complete Checklist Items 1 through 9, and Checklist Items 10a through 10e

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Page 17: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

The TIPs ModelIdentify Problems

Page 18: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

“We are all continually faced with a series of great opportunities,

brilliantly disguised as insoluble problems.”

—John Gardner

Page 19: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

CollectCollect and Useand Use

DataData

DevelopHypothesis

Discuss andSelect

SolutionsDevelop andImplementAction Plan

Evaluate andRevise

Action Plan.

Problem Solving Foundations

Team Initiated Problem Solving (TIPS) Model

Identify Problems

19

Page 20: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Problems & Problem Solving PBS Teams focus on social and academic problems Problem – Difference between expected/desired

student behavior & current student behavior Problem identification - Finding a difference &

making decision about whether it is significant enough to require team action now

Problem solving – Figuring out how to eliminate or reduce difference

20

Page 21: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Let’s Practice Finding Differences(Identifying Problems)

Look for Difference Between… school’s average Major ODRs per school day per

month, and national average for other schools of comparable

enrollment size

21

Page 22: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

SWIS summary 2008-2009 (Majors Only)3,410 schools; 1,737,432 students; 1,500,770 ODRs

Grade Range

Number of Schools

Avg. Enrollment per school

National Avg. for Major ODRs per 100 students, per school day

K-6 2,162 450 .34 = about 1 Major ODR every 3 school days, or about 34 every 100 days

6-9 602 657 .85 = a little less than 1 Major ODR per school day, or about 85 every 100 days

9-12 215 887 1.27 = more than 1 Major ODR per school day, or about 127 every 100 days

K-

(8-12)

431 408 1.06 = about 1 Major ODR per school day, or about 106 every 100 days

22

Page 23: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Comparing a Specific Elementary School to the National Average

Grade Range

Number of Schools

Avg. Enrollment per school

National Avg. for Major ODRs per 100 students, per school day

K-6 2,162 450 .34 = about 1 Major ODR every 3 school days, or about 34 every 100 days

If your elementary school has 150 students, it has ____ times more than 100 students? (150/100 = 1.5 times more)

So you might expect Major ODRs per school day to be about 1.5 times greater than .34 (1.5 X .34 = 0.51 ODRs per school day, for a school with 150 students)

Now compare school’s Major ODRs per school day per month against national average of 0.51 ODRs per school day per month for elementary school with 150 students. Judge whether difference is significant enough to be a problem. Let’s take a look…

23

Page 24: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

This Elementary School has 150 StudentsIs there a problem?

0

0.5

1

1.5

2

Sep Oct Nov Dec Jan Feb Mar Apr May Jun

School Months

Avera

ge R

efe

rrals

Per

Day

School Avg. National Avg. = 0.51

24

Page 25: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Comparing a Specific Middle School to the National Average

Grade Range

Number of Schools

Avg. Enrollment per school

National Avg. for Major ODRs per 100 students, per school day

6-9 602 657 .85 = a little less than 1 Major ODR per school day, or about 85 every 100 days

If your middle school has 600 students, it has ____ times more than 100 students?

(600/100 = 6 times more)

So you might expect Major ODRs per school day to be about 6 times greater than .92

(6 X .85 = 5.1 ODRs per school day, for a school with 600 students)

Now compare school’s Major ODRs per school day per month against national average of 5.1 ODRs per school day per month for middle school with 600 students. Judge whether difference is significant enough to be a problem. Let’s take a look…

25

Page 26: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

This Middle School has 600 StudentsIs there a problem?

0

2

4

6

8

10

12

14

16

Sep Oct Nov Dec Jan Feb Mar Apr May Jun

School Months

Avera

ge R

efe

rrals

Per

Day

School Avg. National Avg. = 5.10

26

Page 27: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Activity #2 How many students does your elementary school have? _____ Your school has _____ times more than 100 students So, you might expect your Major ODRs per school day to be about _____

times greater than .34

_____ X .34 = _____ Major ODRs per school day How is your school doing compared against national average for Major

ODRs per school day for an elementary school of your enrollment size?

Use your SWIS data summary to draw in the line for the national average. Do you have a problem?

Record the absolute values on your TIPS worksheet

27

Page 28: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 29: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 30: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 31: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

31

Page 32: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Let’s Practice Finding Differences(Identifying Problems)

Look for Difference Between… school’s average Major ODRs per school day, per

month, and the average achieved by the same school during

corresponding months of the previous school year

32

Page 33: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

This Middle School has 700 Students – Is There a Problem?How about Compared to Previous School Year?

0

5

10

15

20

Sep Oct Nov Dec Jan Feb Mar Apr May Jun

School Months

Avera

ge R

efe

rrals

Per

Day

School Avg. National Avg. = 5.95

33

Page 34: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Same School – This Year vs. Previous YearIs There a Problem?

0

5

10

15

20

Sep Oct Nov Dec Jan Feb Mar Apr May Jun

School Months

Avera

ge R

efe

rrals

Per

Day

School, Previous Year Avg. School, This Year Avg. National Avg. = 5.95

34

Page 35: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Same School: Previous Year vs. This Year(Data for Entire Year)Is There a Problem?

0

5

10

15

20

Sep Oct Nov Dec Jan Feb Mar Apr May Jun

School Months

Avera

ge R

efe

rrals

Per

Day

School, Previous Year Avg. School, This Year Avg. National Avg. = 5.95

35

Page 36: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Activity #3 Use SWIS data summary to determine if you have a

problem with majors only average Major ODRs per school day for all the months of

this school year, AND the average Major ODRs per school day for all the months of the previous school year

Do you have a problem?

36

Page 37: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 38: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 39: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 40: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

What About… Minors Only? You can use the data on the next slide to

figure out how your school is doing compared against the national average for…

Minors per school day

40

Page 41: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

SWIS summary 2008-2009 (Minors Only)2,582 schools; 1,283,526 students; 1,018,726 ODRs

Grade Range

Number of Schools

Avg. Enrollment per school

National Avg. for Minor ODRs per 100 students, per school day

K-6 1,655 444 .47 = a little less than 1 Minor ODR every 2 school days, or about 47 every 100 days

6-9 436 647 .74 = less than 1 Minor ODR per school day, or about 74 every 100 days

9-12 149 820 1.61 = more than 1 Minor ODR per school day, or about 161 every 100 days

K-

(8-12)

342 416 1.02 = about 1 Minor ODR per school day, or about 102 every 100 days

41

Page 42: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 43: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Activity #4 How many students does your elementary school have? _____ Your school has _____ times more than 100 students So, you might expect your Minors per school day to be about _____ times

greater than .47

_____ X .47 = _____ Minors per school day How is your school doing compared against national average for Minors

per school day for an elementary school of your enrollment size?

Use your SWIS data summary to draw in the line for the national average. Do you have a problem?

Record the absolute values on your TIPS worksheet

43

Page 44: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Let’s Practice Finding Differences(Identifying Problems)

Look for Difference Between… A “desirable” trend - Major ODRs per school day

per month are decreasing, or are flat at an acceptable level, and

An “undesirable” trend – Major ODRs per school day per month are increasing, or are flat at an unacceptable level

44

Page 45: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Here’s an Elementary School with 200 StudentsIs There a Problem? How About the Trend?

0.00

0.10

0.20

0.30

0.40

0.50

0.60

0.70

0.80

0.90

1.00

Sep Oct Nov Dec Jan Feb Mar Apr May Jun

School Months

Avera

ge R

efe

rrals

Per

Day

School Avg. National Avg. = 0.68

45

Page 46: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

This Middle School has 495 Students – Is There a Problem?How About the Trend?

0

5

10

15

20

Sep Oct Nov Dec Jan Feb Mar Apr May Jun

School Months

Avera

ge R

efe

rrals

Per

Day

School Avg. National Avg. = 4.21

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Page 47: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Activity #5 Go back to your graph showing average

Major ODRs per school day per month for the months of this school year…

Look at the trend for this school year’s data Repeat for Minors Only Determine if you will define precision

statement for Majors only or Minors only

47

Page 48: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

This Session Will Have Been a Success If You Can Now…

Identify problems in terms of differences between… Your school’s average Major ODRs/ Minors per school

day per month and the national average Your school’s average Major ODRs/ Minors per school

day per month for this year and for corresponding months of the previous year

A desirable trend and an undesirable trend

48

Page 49: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

The TIPs ModelIdentify Problems

Define & Clarify Problem

(What, When, Where, Who)

Page 50: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

“Everything is vague to a degree you do not

realize till you have tried to make it precise.”

–Bertrand Russell

Page 51: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Identification of Problem(for example...)

Our average Major ODRs per school day per month are higher than national average for a school of our enrollment size

Our average ODRs per school day per month are higher this year than for corresponding months of previous year

Our average ODRs per school day per month are showing an increasing trend

Faculty, parents, and students say our ODR levels are too high

51

Page 52: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

More Precision Is Required to Solve the Identified Problem

1. Define problem by identifying What problem behaviors are involved in ODRs

2. Clarify problem by identifyinga) When ODRs are occurring (time of day)

b) Where ODRs are occurring (location)

c) Who is engaging in problem behaviors that result in ODRs

52

Page 53: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Problem Statements Ultimately, you want to write a “problem

statement” that precisely specifies the problem you identified

The more Ws (what, when, where, who) you incorporate into the problem statement, the more precise the problem statement will be

The more precise the problem statement, the easier it will be to generate a solution that “fits” the problem

53

Page 54: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Which Statement Is More Precise?1a. Too many ODRs 1b. Too many instances of disrespect

2a. Too many ODRs between 1:00pm and 1:30pm

2b. Too many ODRs in the afternoon

3a. Too many ODRs occurring outside the classrooms

3b. Too many ODRs on the playground

4a. 25% of students have at least 2 ODRs

4b. Many students are experiencing ODRs

5a. Too many ODRs on the playground

5b. Total of 12 aggression ODRs on playground last month; more than last year & showing increasing trend this year; occurring during first recess; 8 different students involved

54

Page 55: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Use Schoolwide Information System (SWIS) Data to Achieve Precision

Question SWIS Table/Graph

What problem behaviors are occurring?

Referrals by problem behavior

When are problem behaviors occurring?

Referrals by time

Where are problem behaviors occurring?

Referrals by location

Who is engaging in problem behaviors?

Referrals by student

55

Page 56: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Defining the ProblemWhat Problem Behaviors are Occurring?

Referrals by Problem Behavior

0

5

10

15

20

Tard

yF

org

e/T

heft

Dre

ss C

ode

Tobacco

Alc

ohol

Com

bustible

Bom

bA

rson

Weapons

Oth

er

Unknow

nD

rugs

Tech

Iapp

Out bounds

Gang

Min

or

M-P

rpty

M-O

ther

M-D

ress

M-T

ech

M-T

ard

y

M-U

nknow

nIn

app lan

Agg/F

ight

Lyin

gP

rop d

am

Vandal

M-D

isru

ption

M-I

napp lan

Hara

ss

M-C

onta

ct

M-D

isre

spt

Dis

ruption

Skip

Dis

respt

Nu

mb

er

of

Refe

rrals

56

Page 57: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 58: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

58

Note that you can request a Table as well as a Graph

Page 59: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 60: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Activity #6 Review the SWIS data summary and

determine what the problems are

(for majors or minors)

Record on your TIPS worksheet

60

Page 61: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Clarifying the ProblemWhen Are Problem Behaviors Occurring?

Referrals by Time

0

2

4

6

8

10

12

14

16

7:0

0 A

M

7:3

0 A

M

8:0

0 A

M

8:3

0 A

M

9:0

0 A

M

9:3

0 A

M

10:0

0 A

M

10:3

0 A

M

11:0

0 A

M

11:3

0 A

M

12:0

0 P

M

12:3

0 P

M

1:0

0 P

M

1:3

0 P

M

2:0

0 P

M

2:3

0 P

M

3:0

0 P

M

3:3

0 P

M

4:0

0 P

M

4:3

0 P

M

5:0

0 P

M

Nu

mb

er

of

Refe

rrals

61

Page 62: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 63: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 64: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 65: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Activity #7 Review the SWIS data summary and

determine when the problems are

(for majors or minors)

Record on your TIPS worksheet

65

Page 66: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Clarifying the ProblemWhere Are Problem Behaviors Occurring?

Referrals by Location

0

20

40

60

80

100

Com

mon

Bath

rm

Lib

rary

Bus Z

n

Park

lot

Specia

l evt

Oth

er

Unknow

n

Off

ice

Locker

rm

Off

-Cam

pus

Sta

diu

m

Gym

Café

Ply

gd

Hall

Bus

Cla

ss

Nu

mb

er

of

Refe

rrals

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Page 67: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 68: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 69: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 70: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Activity #8 Review the SWIS data summary and

determine who the problems are

(for majors or minors)

Record on your TIPS worksheet

70

Page 71: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Clarifying the ProblemWho Is Engaging in Problem Behaviors?

Referrals by Student

0

2

4

6

8

10

12

1 2 3 5 10

11

12

13

17

18

20

21

22

23

24

25

34

35

37

38

39

40

42

47

48

49

50

52

54

56

57

60

62

65

72

73

75

78

79

85

86

88

89

93

94

96

97

99

100

95

84

91

98

87

67

26

55

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36

41

Student No.

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Page 72: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 75: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Activity #9 Review the SWIS data summary and

determine who the problems are

(for majors or minors)

Record on your TIPS worksheet

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Page 76: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

The TIPs ModelIdentify Problems

Define & Clarify problem (What, When, Where, Who)Use Custom Reports to write precise Problem Statement

Page 77: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Achieving a Precise Problem Statement

1. Identify the problem

(See: Average Referrals Per Day Per Month)

2. Define and clarify the problem

(See: Referrals by Problem Behavior, Time, Location, & Student)

3. Confirm (or disconfirm) logical inferences

(See: Custom Reports)

4. Write a precise Problem Statement

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Page 78: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Achieving a Precise Problem Statementfor Fictional Trevor Test School

Middle School – Grades 6, 7, & 8 565 students

78

Page 79: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Trevor Test Middle SchoolIs there a problem? If so, what is it?

0

5

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Sep Oct Nov Dec Jan

School Months

Avg

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79

Page 80: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Trevor Test Middle SchoolIdentified Problem

Identified problem for last 4 mos., Major ODRs per day higher than

national avg. increasing trend across all 5 mos.

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Page 81: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Activity #11 Define & Clarify problem identified by Trevor

Test PBS Team Produce/ Review the SWIS “Big 4” for the

previous 3 month period (solve current problem with current data

Draw logical inferences about problem What questions of the data do you have?

Confirm/disconfirm inferences via analysis of SWIS Custom Reports

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Page 82: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Trevor Test Middle School 11/01/2007 through 01/31/2008 (last 3 mos.)

Referrals by Problem Behavior

0

10

20

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40

50

60

70

80

90

100

110

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Referrals by Time

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Num

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0

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83

Page 83: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Trevor Test Logical Inferences Based on Big 4

1. Most Disruptions occur in Cafeteria

2. Most Disruptions occur in Cafeteria between 11:30 AM and 12:00 PM

3. Most instances Inappropriate Language occur in Cafeteria between 11:30 AM and 12:00 AM

Now…use a Custom Graph to confirm (or disconfirm) your inferences, starting with Disruptions, by grade level

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Page 90: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Confirming/Disconfirming InferencesAbout Disruptions

How many (and what proportion of) the 132 Disruptions occurred in Cafeteria between 11:30am and 12:00pm?

Were your inferences about Disruptions confirmed? What else can we learn from the Custom Graph and

Custom Report?

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Page 91: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Confirming/Disconfirming InferencesAbout Inappropriate Language

How many (and what proportion of) the 99 instances of Inappropriate Language occurred in the Cafeteria?

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Page 92: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Confirming/Disconfirming InferencesAbout Inappropriate Language

How many (and what proportion of) the 99 instances of Inappropriate Language occurred in Cafeteria between 11:30am and 12:00pm?

Were your inferences about Inappropriate Language confirmed?

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Page 93: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 95: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Trevor TestPrecise Problem Statement

Many instances of disruption (what)… occurring in cafeteria (where)… between 11:30 AM and 12:00 PM (when)… with large majority involving 6th graders

(who)… particularly Student #10 (who)

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Page 96: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Beginning to Develop a Problem-Solving Action Plan

Once you have identified, defined, clarified, and confirmed the nature of a problem, write your precise Problem Statement as one element of your “Problem-Solving Action Plan”

The P-S Action Plan is simply a record of team decisions and actions needed to implement the decisions

Here’s Problem Statement section of P-S Action Plan for Trevor Test Middle School

We’ll return to this often as we work through the TIPs model

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Page 97: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Note: Data analyst reviewed SWIS data prior to meeting, identified potential new problems, and asked Facilitator to add disruption and inappropriate language to this section of the agenda

Page 98: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Activity #12 Use SWIS data summary and TIPS worksheet

to define a precision problem statement Write the precision problem statement on

meeting minute form Draw logical inferences about problem

What questions of the data do you have? Make a list of custom reports/graphs to

generate later

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Page 99: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 100: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

This Session Will Have Been a Success If You Can Now…

Define and clarify problems using SWIS data (ODRs by problem behavior, time, location, & student)

Determine what SWIS Custom Reports are needed to confirm/disconfirm your inferences

Write a precise problem statement that incorporates information about what, when, where, & who

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Page 101: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

CollectCollect and Useand Use

DataData

Develop Hypothesis

Discuss andSelect

SolutionsDevelop andImplementAction Plan

Evaluate andRevise

Action Plan.

Problem Solving Foundations

Team Initiated Problem Solving (TIPS) Model

Identify Problems

Then Define & Clarify(What, When, Where, Who);

use Custom Reportsto write Precise

Problem Statement onAction Plan

Quick Review

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Page 102: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

The TIPs Model Identify Problems

Define & Clarify problem (What, When, Where, Who)Use Custom Reports to write precise Problem Statement

Develop Hypothesis Discuss & Select Solutions

Page 103: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

CollectCollect and Useand Use

DataData

Develop Hypothesis

Discuss andSelect

SolutionsDevelop andImplementAction Plan

Evaluate andRevise

Action Plan

Problem Solving Foundations

Team Initiated Problem Solving (TIPS) Model

Identify Problems

Then Define & Clarify(What, When, Where, Who);

use Custom Reportsto write Precise

Problem Statement onAction Plan

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Page 104: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Hypothesis & Solution Think of them as paired…

Hypothesis – Why you have problem Solution – What you will do to reduce or

eliminate problem

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Page 105: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

The Hypothesis… Is best explanation for what the data and your

experience tell you Answers the “why” for the other Ws you

discovered

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Page 106: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Some “Why” Questions a Hypothesis Might Explain

Why do these types of problem behaviors account for large majority of ODRs?

Why do these types of problem behaviors occur frequently? Why is this type of problem behavior (and ODRs in general) happening

most often at this time of day? Why is this type of problem behavior (and ODRs in general) happening

most often in this location? Why does this particular group of students account for a large majority of

this particular type of problem behavior (and ODRs in general)?

You will find yourself thinking about answers (solutions) at same time you are developing your hypothesis

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Page 107: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Behavioral Explanations for “Why” Don’t forget - From student’s perspective,

problem behavior serves a purpose, such as… Gaining attention Gaining access to activities or tangible items Avoiding or escaping from something student

finds unpleasant

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Page 108: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 109: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 111: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Trevor TestHypothesis Statement

Many instances of disruption occurring in cafeteria between 11:30 AM and 12:00 PM; large majority involving 6th graders, particularly Student #10…

because (a) cafeteria overcrowded at that time, (b) 6th graders have received insufficient instruction in cafeteria expectations, and (c) disruption results in attention from adults and peers

Here’s hypothesis statement incorporated into P-S Action Plan

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Page 113: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Hypothesis Is best explanation for what the data and your

experience tell you Provides a possible “why” for other Ws you

discovered AND guides you toward possible solutions

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Page 114: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Solutions – Generic Strategies Prevent – Remove or alter “trigger” for problem behavior Define & Teach – Define behavioral expectations; provide

demonstration/instruction in expected behavior (alternative to problem behavior

Reward/reinforce – The expected/alternative behavior when it occurs; prompt for it, as necessary

Withhold reward/reinforcement – For the problem behavior, if possible (“Extinction”)

Use non-rewarding/non-reinforcing corrective consequences – When problem behavior occurs

Although not a “solution strategy,” Safety may need to be considered (i.e., procedures that may be required to decrease likelihood of injuries or property damage)

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Page 115: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Prevent “Trigger”

Define & Teach

Reward/Reinforce

Withhold Reward

Corrective consequence

Other

Safety

Trevor Test Middle School

Hypothesis - cafeteria overcrowded; 6th graders with insufficient instruction in cafeteria expectations; attention from adults and peers rewarding disruption

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Prevent “Trigger” Change lunch schedule so fewer students are eating between 11:30 AM & 12:00 PM?

Define & Teach Focus on 6th graders; define cafeteria expectations; develop and post expectation signage in cafeteria; demonstrate/teach expectations in class periods occurring just prior to lunch

Reward/Reinforce Set up “Friday 5” (extra 5 mins. of lunch time on Friday, if no ODRs occur in cafeteria during lunch time)

Withhold Reward Ensure staff don’t argue back and forth with student if instance of disruption occurs (may be an inadvertent reward); remind students that paying attention to a disruptive student can mess up Friday 5

Corrective consequence Ensure active supervision during lunch (add one supervisor between 11:30 AM and 12:00 PM?); ensure quick corrective consequence, per our handbook

Other Determine whether Behavior Support Program has been initiated for Student #10; if it has, make sure it includes focus on disruption in cafeteria

Safety

Trevor Test Middle School

Hypothesis - cafeteria overcrowded; 6th graders with insufficient instruction in cafeteria expectations; attention from adults and peers rewarding disruption

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Page 117: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Trevor TestSolution Actions

Choose the least number of solution(s)that will have the biggest impact on decreasing the problem.

Implementing the solution requires action Here are solution actions, added to the P-S

Action Plan…

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Page 119: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

This Session Will Have Been a Success If You Can Now…

Develop a hypothesis about why problem is occurring, & write hypothesis statement on

P-S Action Plan Discuss and select solutions to problem, &

write solution actions on P-S Action Plan

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Page 120: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

CollectCollect and Useand Use

DataData

Develop Hypothesis

Discuss Why problem isoccurring; add to written

Problem Statement

Discuss andSelect

SolutionsGeneric Specific

Write on Action Plan

Develop andImplementAction Plan

Evaluate andRevise

Action Plan

Problem Solving Foundations

Team Initiated Problem Solving (TIPS) Model

Identify Problems

Then Define & Clarify(What, When, Where, Who);

use Custom Reportsto write Precise

Problem Statement onAction Plan

Quick Review

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Page 121: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

The TIPs ModelIdentify Problems; Define & Clarify Problems to Achieve Precision; Use Custom Reports to write precise Problem StatementDevelop HypothesisDiscuss and Select Solutions

Develop & Implement Action PlanEvaluate & Revise Action Plan

Page 122: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

CollectCollect and Useand Use

DataData

Develop andRefine

HypothesesDiscuss Why problem isoccurring; add to written

Problem Statement

Discuss andSelect

SolutionsGeneric SpecificWrite on Action Plan

Develop andImplementAction Plan

Evaluate andRevise

Action Plan

Problem Solving Foundations

Team Initiated Problem Solving (TIPS) Model

Identify Problems

Then Define & Clarify(What, When, Where, Who);

use Custom Reportsto write Precise

Problem Statement onAction Plan

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Page 123: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

P-S Action Plan (Continued) We’ve been completing a P-S Action Plan for

Trevor Test Middle School Each “row” in plan referenced to a single

team-identified problem

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Page 124: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 125: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

P-S Action PlanGoal for a Problem…

Based on team-established standard Easier to monitor if quantifiable (“countable”)

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Page 126: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Sample QuantifiableP-S Action Plan Goals

Percent reduction to be achieved & maintained:“Reduce cafeteria disruptions by 75% & maintain for remainder of school year.”

OR Absolute reduction to be achieved & maintained:

“Reduce cafeteria disruptions to an average of no more than 2 per month & maintain for remainder of school year.”

And/ OR Satisfaction level to be achieved & maintained:

“All school personnel assigned to cafeteria between 11:30 AM and 12:00 PM will rate the level of disruptions to be ‘acceptable’ or better; rating maintained during monthly reviews conducted throughout remainder of school year.”

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Page 127: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

That Pesky Quantification Issue ID of problem/Baseline phase: Rate of

problem during a current time period (e.g., last 3 mos., last 90 days, etc.) before ANY of the solution tasks have been implemented

Progress Monitoring/Solution phase: Rate of problem at regular intervals (e.g., prior to each team meeting) after ALL of the solution tasks have been implemented

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Page 128: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Calculating Baseline Rate SWIS Custom Reports will produce very precise information about the LEVEL of

the problem (e.g., absolute number of disruptions in cafeteria between 11:30 AM and 12:00 PM) between any two dates (e.g., 11/01/2007 through 01/31/2008)…

but will not yet automatically produce information about the RATE of the problem during a specified time period (e.g., average number of cafeteria disruptions per school day between 11:30 AM and 12:00 PM for 11/01/2007 through 01/31/2008)

You can calculate an approximate monthly baseline rate by:

Running a Custom Report for the preceding 3 calendar-month periods (in our case, 11/01/2007 through 01/31/2008), and then

Dividing the resulting number of ODRs by the number of calendar months (in our case, 73 ODRs/3 mos. = 24.33 per mo.)

So...we know that over the last calendar 3 months, disruptions in the cafeteria between 11:30 AM and 12:00 PM have averaged about 24 per month

Here’s a P-S Action Plan goal, referenced to that baseline rate129

Page 129: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 130: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Calculating Solution Rate After ALL agreed upon solution tasks have

been implemented, begin calculating rate of problem during solution phase

Use Custom Reports to produce counts for successive calendar months that solution is in effect; review data at team meetings

Here’s an example

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Page 132: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

CollectCollect and Useand Use

DataData

Develop andRefine

HypothesesDiscuss Why problem isoccurring; add to written

Problem Statement

Discuss andSelect

SolutionsGeneric SpecificWrite on Action Plan

Develop andImplementAction Plan

Evaluate andRevise

Action Plan

Problem Solving Foundations

Team Initiated Problem Solving (TIPS) Model

Identify Problems

Then Define & Clarify(What, When, Where, Who);

use Custom Reportsto write Precise

Problem Statement onAction Plan

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Page 133: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Evaluate P-S Action Plan Part 1

Assumes Solution Actions being implemented as intended, (did we implement with fidelity?) Determine strategy for gathering this information and

write into plan (see Trevor Test P-S Action Plan) Review current implementation status at meetings

If implementation of Solution Actions incomplete or poor… provide additional information/support to implementers? assign to another person? revise timeline for implementation?

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Page 135: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Evaluate & Revise Action Plan Part 2

When implementation of Solution Actions occurring as intended, use data for progress monitoring

Team decision about success of solution is based on P-S Action Plan’s Goal Timeline & Decision Rule – Rough idea of when

to consider revising hypothesis and/or solutions if desired results not being achieved

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Page 136: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

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Page 138: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

If “Solution” Not Working Revise timeline only?

Solution may need more time Students must come into “contact” with solution for it to

have effect Revise hypothesis? Revise solution actions to fit retained or revised

hypothesis? Some problems may require several cycles

(illustrates nature of data-based decision making) Let data guide you…

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Page 139: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Revise P-S Action Plan Change plan to reflect any…

Revised timelines Revised hypotheses… Revised/new solution tasks…

140

Page 140: Team-Initiated Problem Solving (TIPS) Rob Horner, Steve Newton, & Anne Todd University of Oregon Bob Algozzine & Kate Algozzine University of North Carolina

Meeting Minutes Meetings usually not limited to identifying new

problems & monitoring effect of solutions on old problems

May need to address administrative/general stuff Information only – May or may not require team

decisions “Issues” – May require decisions & tasks

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Managing the “Flow” of the Meeting Meeting Minutes

Old business – Review last meeting’s Meeting Minutes section to determine whether tasks being completed

New business – Refer to “Today’s NEW Business Agenda items” section on form

Problem-Solving Action Plan Old business – Review last meeting’s Problem-Solving Action Plan

section to determine whether solution actions are being implemented and having the desired effect

New business – Refers to initiating the TIPS Model again to identify and address a NEW problem

Evaluation of Meeting (optional)

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Activity #13 Have a meeting

1. Hook up laptop and LCD projector2. Minute taker takes minutes on meeting minute form, electronically3. Minute taker records precision problem statement from TIPS Worksheet4. Pull up SWIS account5. Verify precision problem statement6. Create custom graph for ‘motivation’7. Begin building possible solutions8. Determine which solution to implement9. Define who will do what by when10. Define goal (what will it take to say this is no longer a problem11. Review foundations checklist, record tasks and timelines on

‘administrative/general information’ portion of meeting minute form12. Build agenda for next meeting

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This Session Will Have Been a Success If You Can Now…

Write P-S Action Plan items for team-identified problems, including measurable Goals

Calculate baseline & solution rates for problems

Monitor progress at… Completing tasks listed in Meeting Minutes Solving problems listed in P-S Action Plan

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CollectCollect and Useand Use

DataData

Develop andRefine

HypothesesDiscuss Why problem isoccurring; add to written

Problem Statement

Discuss andSelect

SolutionsGeneric SpecificWrite on Action Plan

Develop andImplementAction Plan

Complete Action Plan;make Goal measurable;

establish baselinerate

Evaluate andRevise

Action PlanAre we implementingplan? Is it working?

Review Custom Reportdata at each mtg.

Problem Solving Foundations

Team Initiated Problem Solving (TIPS) Model

Identify Problems

Then Define & Clarify(What, When, Where, Who);

use Custom Reportsto write Precise

Problem Statement onAction Plan

Quick Review

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The Problem-Solving “Mantra” Do we have a problem?

(identify) What is the precise nature of our problem?

(define, clarify, confirm/disconfirm inferences) Why does the problem exist, & what can we do

about it?(hypothesis & solution)

What are the actual elements of our plan?(Action Plan)

Is our plan being implemented, & is it working?(evaluate & revise plan)

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What’s Next? Review “Responsibilities of PBS Team Members” (next slide)

before your next team meeting; be ready to assume responsibilities

Your PBS Coach will provide technical assistance before your next meeting, as his/her schedule permits Work with data analyst to create SWIS Summary report

At your next two meetings, your PBS Coach will provide you with least amount of help you need to use TIPS model in meeting

One or two data collectors will then observe three more of your meetings (Jan, Feb, April) and collect some data concerning your independent use of TIPS (so he will not be providing technical assistance)

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