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CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC Wilmington, NC

CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

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Page 1: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

CBM, Charting, Progress Monitoring, and Data Based

Instructional Decision Making in a RTI Model

Tom Jenkins, Ed.D.

Educational Consultation Services, LLCWilmington, NC

Page 2: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

What you can expect today

• CBM, CBA, CBE

• Instruction on progress monitoring

• Examples and hands-on activity

• Final thoughts and conclusions

Page 3: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

What is CBM?

• Curriculum-based measurement– Data collection tools derived directly from the

curriculum that student is expected to learn

Page 4: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

CBM

• CBM is believed to reduce the gap between assessment and instruction

• Aides teachers in generating superior student achievement

• Improved communication• Higher level of sensitivity• Enhancement of the database• Administration time is shorter• More cost effective

Page 5: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

CBM

• The simplicity of CBM allows for quick and easy peer referencing

• Normative data can be collected• This allows for comparison of a student’s

performance to his/her actual peer group• More representative geographically,

culturally, ethnically, and has been exposed to similar instructional environment

Page 6: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

CBM

• CBM has been shown to posses high levels of reliability

• 42 one-minute CBM type assessments in reading, math, and written expression for grade K-5 were found to have reliability coefficients between .90-.99 with just three one-minute administrations (Jenkins, 2002)

Page 7: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

CBM

• Discriminant Validity• Several studies have demonstrated the

ability of CBM to differentiate between students receiving special education services, students receiving Chapter 1 services, and students not receiving any of those services (Deno, Marston, Shinn, and Tindal, 1983; Marston and Deno, 1982; Shinn and Marston, 1985; and Shinn, Tindal, Spira, and Marston, 1987).

Page 8: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

CBM Procedures

– Remember different modalities– Given the nature of reading probes they must

be administered individually– Math and written expression may be

administered in a group setting

Page 9: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

CBM Procedures

• Scoring– One minute administration time except for

written expression– Number ID is scored corrects for minute;

however, math computations are scored digits correct per minute

– Written expression is scored according to correct sequences

Page 10: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Example

• Administration example

• Work in pairs

• Each person gets a chance to adminster

Page 11: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

CBM Procedures

• Written expression examples

Page 12: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Progress Monitoring

• Basic Principle #8 of PSM– Progress monitoring an essential aspect of

the intervention phase

• Basic Principle #9 of PSM– Decision making in regards to the

effectiveness of an intervention is based on analysis of progress monitoring data in relation of goal

Page 13: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Progress Monitoring

• Essential for four reasons– There is no guarantee that interventions will be

successful, thus the intervention must be “tested” to evaluate effectiveness

– Increased emphasis of specific outcomes for students, data base must be generated to guide intervention decision making

– Pre/post testing has be shown to be unreliable (small amount of data) and provides too little data to allow for instructional decision making – progress monitoring allows for evaluation of level of performance and rate of learning

– Research has shown that progress monitoring is associated with improved educational outcomes

Page 14: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Progress Monitoring

• Definition– Frequent and repeated data collection (no

less than 2-3 times a week) and analysis of student performance

– Data is collected during intervention and provides basis for intervention effectiveness

Page 15: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Progress Monitoring

• Essential components that must be in place for successful progress monitoring– A well-defined behavior– A measurement strategy– Identification of student’s current level of performance

(baseline)– Intervention– Goal– Graph– Decision-making plan

Page 16: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Well Defined Behavior

• Target behavior, observable, measurable, and specific

• Focus on enabling skills– Skills that are prerequisite skills for more

complex skills– Deficiencies in enabling skills often adversely

affects performance on global assessments

Page 17: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Well Defined Behavior

• Enabling skills for reading– Phonemic awareness– Alphabetic understanding– Fluency– Sight words– Comprehension

Page 18: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Well Defined Behavior

• Enabling skills for math– Number sense– Facts– Computation– Applications– Problem solving

• Enabling skills for written expression– Mechanics– Expression

Page 19: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Well Defined Behavior

• Enabling skills for behavior– Social skills– Work completion– Compliance– Problem solving skills

Page 20: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Measurement Strategy

• Frequent and repeated collection of data

• Time and cost efficient

• Sensitive to changes over short periods of time

Page 21: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Current Level of Performance (Baseline)

• Gathered prior to intervention

• Repeatable

• Provides comparison for progress data

• Helps set goal

• Median score – why?

Page 22: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Intervention

• Match intervention to problem

• Humans tend to employ interventions with which they are comfortable instead of intervention that the student needs

• Intervention should be developed with the expectation that it will be altered in some way as a result of the progress monitoring data

• No intervention works all of the time for every student

Page 23: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Goal

• Standard against which progress can be compared• Allows for aimline to be established• Possible goals

– Norms– Percentile cutoff– Realistic growth rates– Ambitious growth rates– Minimum celeration– Local growth rates

Page 24: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Computing Growth Rates

• Winter Norm minus Fall Norm, divided by number of weeks between norming projects

• Gives you a growth expectancy for each week of school year

• Allows for obtaining student’s baseline then monitoring progress while comparing to growth expectancy

Page 25: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Computing Growth Rates

• Example – first grade, ID words in sentences

• Winter Norm minus Fall Norm, divided by number of weeks between norming projects

• 67.9119-35.2694 / 10 = 3.2643 words per week

Page 26: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Growth Rates based on research by Doug and

Lynn Fuchs• Realistic Growth Rates• Gr 1 2 words/week• Gr 2 1.5 wrds/week• Gr 3 1 words/week• Gr 4 .9 words/week• Gr 5 .5 words/week

• Ambitious Growth Rates

• Gr 1 3 words/week• Gr 2 2 words/week• Gr 3 1.5 wrds/week• Gr 4 1.1 wrds/week• Gr 5 .8 words/week

Page 27: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Goal

• 1.25 minimum celeration, Precision Teaching

Page 28: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Graph

• Provides a visual representation of a large amount of data

• A visual representation of student’s acquisition of skills and allows for easier analysis of progress

• Semi-log chart– Equal interval charts can misrepresent data,

depending on how axis is quantified– Equal interval charts assumes equal amounts of

progress between all data points– Precision Teaching

Page 29: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Decision Making Plan

• Facilitates interpretation of data

• Should include– Rule for raising performance goal – 6/4

consecutive data points above the aimline– Rule for altering the intervention due to lack of

progress – 3/4 consecutive data points below the aimline

– Deno/Allison

Page 30: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Decision Making Plan

• If the decision is to adjust an intervention, small changes or refinements are recommended before major changes

• However, changes should be substantial enough that it has a possibility to result in improved student performance

• If making an adjustment, do not make two at the same time. It may result in the team being unable to determine what caused increased student performance

Page 31: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Decision Making Plan

• As student performance approaches goal, team must decide– Raise the goal– Begin work on another target behavior– Discontinue PSM process

• If in level four consider– Discontinuation of EC services

Page 32: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Charting Activity

• A means of interpreting large amounts of data

• Allows for relating performance trends to desired performance

• Research has shown the charting also facilitates positive student outcomes (Fuchs, 1989)

Page 33: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Charting Activity

• Definition– Visual depiction of the student’s performance

data, relative to the goal and aimline– Includes baseline data, goal, aimline, and

progress monitoring data

Page 34: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Charting Activity

• Procedures– Write the prediction/goal statement– Depict baseline data collection phase on the

chart, indicate the median score, identify with a heavy dark line

– Depict the goal at the end of the anticipated intervention phase

– Depict the aimline by connecting the baseline median with the goal, this gives you expected rate of progress

Page 35: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Charting Activity

• Activity– Plot the baseline data

• Monday – 14• Tuesday – 10• Wednesday – 6• Thursday – 5• Friday – 10

– Plot the median and signify with a heavy dark line

Page 36: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Charting Activity

• Plot the goal at the end of eight weeks– 40

• Indicate the aimline

Page 37: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Charting Activity

• Performance trends should be analyzed periodically– Trend above aimline – raise the goal– Trend below aimline – adjust intervention

• If changes are made to the intervention, indicate change on the graph with a squiggle line

• Describe the changes on the back of the chart• This allows for understanding of specific

instructional adjustments that were successful/unsuccessful

Page 38: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Charting Activity

• Plot the first two weeks progress monitoring data– Week One

• Tuesday – 16• Thursday – 14

– Week Two• Monday – 10• Wednesday – 18• Friday – 16

• Make an informed decision regarding the effectiveness of the intervention

Page 39: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Charting Activity

• Remember– Rule for raising performance goal – 6/4

consecutive data points above the aimline– Rule for altering the intervention due to lack of

progress – 3/4 consecutive data points below the aimline

– Deno/Allison

Page 40: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Charting Activity

• Plot progress monitoring data for next two weeks– Week Three

• Tuesday – 14• Thursday - 10

– Week Four• Monday – 15• Wednesday – 16• Friday – 16

• Make an informed decision regarding the effectiveness of the intervention

Page 41: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Charting Activity

• Phase two or three of the intervention?– Plot the progress monitoring of the next two weeks– Week Five

• Tuesday – 24• Thursday - 26

– Week Six• Monday – 26• Wednesday – 24• Friday – 26

• Make an informed decision regarding the effectiveness of the intervention

Page 42: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Charting Activity

• Phase two or three of the intervention?– Plot the progress monitoring of the next two weeks– Week Seven

• Tuesday – 28• Thursday - 30

– Week Eight• Monday – 32• Wednesday – 36• Friday – 38

• Make an informed decision regarding the effectiveness of the intervention

• Final decision?

Page 43: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Charting Activity

• More information than you wanted to know– Trend lines

• Line that you draw through a series of data points that represents the student’s actual rate of progress

• If trend line slope is flatter than aimline slope, then adjust intervention

• If trend line slope is steeper than aimline slope, then adjust goal

• If slopes are the same, make no change

Page 44: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Charting Activity

• Trend line procedures– Draw vertical line in middle of graph, half data

points on one side, half on the other – if odd number of data points, put line through middle point

– Draw a vertical line in first half of data to separate data half and half

– Draw a vertical line in second half of data to separate data half and half

Page 45: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Charting Activity

• Trend line procedures– Draw a horizontal line through median of first

half of data – form an intersection with vertical line

– Draw a horizontal line through median of second half of data – form an intersection with vertical line

– Connect the two intersections– Make your decision, is it the same decision?

Page 46: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Thoughts and Conclusions

• What if we took it a step further?

• What if we used the intervention/progress monitoring/charting process to move students towards a CBM reading fluency score that we knew predicted success on EOG’s and EOC’s?

Page 47: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Thoughts and Conclusions

• Espin et al, 2002 found correlation between CBM reading fluency scores and Minnesota grade 8 state standards test scores to be .78

• Grade 5 correlation between CBM reading fluency scores and Minnesota Comprehensive Assessments - .77

Page 48: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC
Page 49: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Thoughts and Conclusions

• Similar results were found in Minnesota for grades 3 and 5

• Similar results have been found in different states

Page 50: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC
Page 51: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Thoughts and Conclusions

• Similar results have been found in Oregon and Washington

Page 52: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Thoughts and Conclusions

• What does all this mean?– Implement a school-wide model of progress

monitoring– Screen all students in the fall– Identify students with CBM fluency scores that

make them “at risk” on the standards based testing

– Intervene and monitor progress of the students “at risk” – move them towards a CBM reading fluency score that predicts a higher likelihood of success on the standards based testing

Page 53: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Thoughts and Conclusions

• Goals can be set based on local norming data – find CBM reading fluency for those that did meet standard

• Growth rates – realistic or ambitious• Fluency benchmarks set by research (Deno)

– 1st grade – 60 wpm– 2nd grade – 90 wpm– 3rd grade – 120 wpm– 4th grade – 130 wpm– 5th grade – 140 wpm– 6th grade – 150 wpm

Page 54: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Thoughts and Conclusions

• How can I progress monitor with all the other things that I have to do?– School improvement occurs when focus is

placed on student improvement outcomes, priorities are going to have to be changed so that progress monitoring is seen as just as important as instruction

Page 55: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Thoughts and Conclusions

• We have standards based tests to measure student progress, why do more?– These tests are usually administered once a

year and show student success in meeting a criterion. Progress monitoring enables learning, shows if a student is making progress towards success on standards based tests, and allows for informed instructional decision making that helps the student reach the goal of success on standards based tests.

Page 56: CBM, Charting, Progress Monitoring, and Data Based Instructional Decision Making in a RTI Model Tom Jenkins, Ed.D. Educational Consultation Services, LLC

Questions?

• Dr. Tom Jenkins, Director• Educational Consultation Services, LLC• Wilmington, NC• (910) 367-7209• [email protected]• www.educationalconsultationservices.com