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Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn, M.Ed., NCSP Exeter Township School District Reading, PA
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Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Mar 26, 2015

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Page 1: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Determining Eligibility for

Special Education in an RTI System

Joseph F. Kovaleski, D.Ed., NCSPIndiana University of PA

Indiana, PA

Caitlin S. Flinn, M.Ed., NCSPExeter Township School District

Reading, PA

Page 2: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Acknowledgements

This presentation is based on a training module developed in collaboration with the Pennsylvania Training and Technical Assistance

Network (PaTTAN) as part of the RTI Pilot Project. Amy Smith, Ed Shapiro, and other PaTTAN consultants contributed to the

development of these materials.Thanks to Andrew McCrea for contributing to the development of

the Rate of Improvement slides.

Page 3: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Learning Objectives

Participants will: Identify assessment procedures for RTI that are

embedded in a three-tier model of service delivery

Graph and calculate rate of improvement data Articulate how RTI is used in the procedure to

determine eligibility for special education Conceptualize new report writing language for

composing evaluation reports in an RTI model

Page 4: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Today’s Perspective

Assume knowledge of RTI and the three-tier model.

Determining eligibility for special education using RTI presupposes that the RTI infrastructure has been built.

This session is about using RTI as an alternative to ability-achievement discrepancy, not in addition to it.

The perspective will be based on law/regulations and best practices.

Page 5: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Most relevant for those ready to use RTI. Some aspects of today’s presentation are relevant

to the SLD requirements, even if you’re not using RTI.

Application of some procedures and principles can begin now as effective practices.

Page 6: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Response to Intervention

Standards aligned core instruction Universal screening Interventions of increasing intensity Research-based practices Progress monitoring Data analysis teaming Parental engagement

Page 7: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Specific Learning Disability

Inclusionary Exclusionary

1.

Failure to meet age- or grade-level State standards in one of eight areas:

oral expression

listening comprehension

written expressionbasic reading skill reading fluency skillreading comprehension mathematics calculation mathematics problem solving

2.

Discrepancy: Pattern of strengths & weaknesses, relative to intellectual ability as defined by a severe discrepancy between intellectual ability and achievement, or relative to age or grade.

OR

RTI: Lack of progress in response to scientifically based instruction

3.

Rule out:

Vision, hearing, or motor problems

mental retardationemotional disturbancecultural and/or environmental issueslimited English proficiency

4.

Rule out lack of instruction by documenting:

Appropriate instruction by qualified personnel

Repeated assessments

Observation

Page 8: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Criterion #1:Criterion #1:Does the child achieve adequately for the Does the child achieve adequately for the child’s age or meet State-approved grade level child’s age or meet State-approved grade level standards?standards?The group may determine the child has an SLD if the child:

1. Does not achieve adequately for the child’s age or to meet State-approved grade-level standards in one or more of the following areas, when provided with learning experiences and instruction appropriate for the child’s age or State-approved grade-level standards:

§ 300.309(a) 300.309(a)

(v) Reading fluency skills(vi) Reading comprehension(vii) Mathematics calculation(viii) Mathematics problem solving

(i) Oral expression(ii) Listening comprehension(iii) Written expression(iv) Basic reading skill

Inclusionary Criteria

Page 9: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

1.

Failure to meet age- or grade-level State standards in one of eight areas:

oral expression

listening comprehension

written expressionbasic reading skill reading fluency skillreading comprehension mathematics calculation mathematics problem solving

2.

Discrepancy: Pattern of strengths & weaknesses, relative to intellectual ability as defined by a severe discrepancy between intellectual ability and achievement, or relative to age or grade.

OR

RTI: Lack of progress in response to scientifically based instruction

3.

Rule out:

Vision, hearing, or motor problems

mental retardationemotional disturbancecultural and/or environmental issueslimited English proficiency

4.

Rule out lack of instruction by documenting:

Appropriate instruction by qualified personnel

Repeated assessments

Specific Learning Disability

Inclusionary ExclusionaryObservation

Page 10: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Sources of Data to Document Lack of Achievement

Existing Data

Performance on benchmark assessments

Terminal performance on progress monitoring measures

Performance on statewide and district-wide assessments

New Data to Collect (if necessary) Norm-referenced tests of

academic achievement

Curriculum-based evaluation (cf. Howell et al.)

Page 11: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Lack of achievement is in relation to age or grade-level standards.

The student’s assessed achievement on all measures should be significantly behind age- or grade-peers.

Measures should be reflective of state standards.

Achievement here is related to age or grade, not intellectual level.

Page 12: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Normative Comparisons

Normative group is important decision

National normative data sets for CBM AIMSweb Hasbrouck & Tindal DIBELS

Page 13: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Who sets the parameters for being ‘deficient’

How deficient must a student be in order to demonstrate inadequate performance/achievement?

It is the responsibility of individual school districts to establish or define appropriate assessment parameters.

Page 14: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

How deficient should a student be to qualify? An opinion… Contemporary research has indicated that a score

of the 30th percentile on nationally normed benchmark tests or individual tests of academic achievement is equivalent to a proficient score on most statewide tests.

Therefore, to demonstrate inadequate achievement relative to this standard, a student should be significantly below this level ( e.g., 10th percentile) to meet the SLD qualification under this component.

Page 15: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

2.0X calculation

Divide norm group mean by student’s score

Result expressed as a ratio of deficiency

Example: 100 wpm / 50 wpm = 2.0X

Page 16: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

DIBELS benchmarks (with ROI in parentheses based on 18 weeks between benchmarks, 36 total weeks):

K – ISF (0.9)

K – PSF 35 (1.0)

K - NWF 25 (0.7)

1 - NWF 50 (1.4)

1 - ORF 40 (1.1)

2 - ORF 90 (1.3)

3 - ORF 110 (0.9)

4 - ORF 118 (0.7)

5 - ORF 124 (0.6)

Page 17: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Consider John, a third grader. We’ll compare his scores (denominators) with the scores of the norm group (numerators), using the 3rd grade norms for ORF and the 1st grade norms for NWF. ORF: 110 wpm = 2.0X

55 wpm

NWF: 50 nwpm = 2.5X 20 nwpm

Page 18: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

May we use norm-referenced tests of academic achievement in determining the extent of the deficiency? May we? Yes! There is nothing legally

that prevents a team from doing so.

Should we? It depends on how secure you

are with other data regarding the student’s deficiency in relation to standards.

If you have a preponderance of other data, you may choose not to use other norm-referenced measures.

If you don’t, or if there are other questions that can be answered with norm-referenced measures, use them.

Page 19: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Example of report language:Documentation of Deficiency in Level of Performance John has displayed documented deficiencies in reading skills since

kindergarten. He has been at the below basic level on district-wide and statewide tests. His most recent universal screening using DIBELS (January) indicated an oral reading fluency score of 55 words per minute. Compared to typical peers for John's age and grade level (110 wpm), John's deficiency ratio is 2.0X. The Nonsense Word Fluency subtest of DIBELS was also administered. John attained a score of 20 nonsense words per minute on the subtest. Compared to the terminal score achieved by first-graders (50 nwpm), John has a deficiency ratio of 2.5X. Progress monitoring of John's oral reading fluency has indicated that John continues to have difficulty reading in spite of intensive intervention. His terminal score during the last week of March was 53 words per minute. For oral reading fluency John also attained a 20% accuracy rate on the 4Sight test which is considerably below the 80% mark that is typically attained by students in his grade.

Page 20: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Implications to consider The student’s IQ level is not considered the criterion

against which the student’s academic performance is compared.

Students with intelligence levels in the ‘slow learner” range may not be excluded from having SLD if they display significantly inadequate academic achievement and if they meet the other criteria (e.g., RTI).

Conversely, students with high levels of intelligence must display inadequacies in relation to their age or the state standards for their grade in order to meet this criterion.

Page 21: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Criterion #2: Does the child demonstrate a pattern of strengths and weaknesses or a lack of progress in response to scientifically based instruction?

21

(i) The child does not make sufficient progress to meet age or State-approved grade-level standards in one or more of the areas identified ... when using a process based on the child’s response to scientific, research-based intervention;

or (ii) The child exhibits a pattern of strengths and weaknesses

in performance, achievement, or both, relative to age, State-approved gradelevel standards, or intellectual development, that is determined by the group to be relevant to the identification of a specific learning disability, using appropriate assessments, consistent with §§ 300.304 and 300.305

Page 22: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Specific Learning Disability

Inclusionary Exclusionary

1.

Failure to meet age- or grade-level State standards in one of eight areas:

oral expression

listening comprehension

written expressionbasic reading skill reading fluency skillreading comprehension mathematics calculation mathematics problem solving

2.

Discrepancy: Pattern of strengths & weaknesses, relative to intellectual ability as defined by a severe discrepancy between intellectual ability and achievement, or relative to age or grade.

OR

RTI: Lack of progress in response to scientifically based instruction

3.

Rule out:

Vision, hearing, or motor problems

mental retardationemotional disturbancecultural and/or environmental issueslimited English proficiency

4.

Rule out lack of instruction by documenting:

Appropriate instruction by qualified personnel

Repeated assessments

Observation

Page 23: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Overview of RoI

Define rate of improvement (RoI) Review importance of RoI within context of RtI Establish a need for consistency when graphing

and calculating rate of improvement (RoI) Model how to graph and calculate RoI in Excel

Page 24: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

With Progress Monitoring Data…

How do we know if a student is learning? Look at the data points

Where are they on the graph? Are the data points getting closer to the goal or

benchmark? Is there a way to measure growth?

Make an aimline toward goal Look to see where data points are compared to aimline Calculate rate of improvement

Page 25: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

RoI Definition

Rate of Improvement can be described algebraically as the slope of a line

Slope is defined as: the vertical change over the horizontal change on a Cartesian plane. (x-axis and y-axis graph) Also called: Rise over run Formula: m = (y2 - y1) / (x2 - x1) Describes the steepness of a line (Gall & Gall, 2007)

Page 27: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Progress Monitoring

Frequent measurement of knowledge to inform our understanding of the impact of instruction/intervention.

Measures of basic skills (CBM) have demonstrated reliability & validity (see table at www.rti4success.org).

Page 28: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Classroom Instruction (Content Expectations)

Measure Impact (Test)

Proficient! Non Proficient

Content Need? Basic Skill Need?

InterventionProgress Monitor With CBM

Rate of Improvement

InterventionProgress Monitor

If CBM is Appropriate Measure

Use Diagnostic Test to Differentiate

McCrea, 2010

Page 29: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

So… Rate of Improvement (RoI) is how we understand

student growth (learning). RoI is reliable and valid (psychometrically speaking)

for use with CBM data. RoI is best used when we have CBM data, most often

when dealing with basic skills in reading/writing/math.

RoI can be applied to other data (like behavior) with confidence too!

RoI is not yet tested on typical Tier I formative classroom data.

Page 30: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

RoI is usually applied to…

Tier One students in the early grades at risk for academic failure (low green kids)

Tier Two & Three Intervention Groups Special Education Students (and IEP goals) Students with Behavior Plans

Page 31: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

RoI Foundations

Deno, 1985 Curriculum-based measurement

General outcome measuresTechnically adequateShortStandardizedRepeatableSensitive to change

Page 32: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

RoI Foundations

Fuchs & Fuchs, 1998 Hallmark components of Response to

InterventionOngoing formative assessmentIdentifying non-responding studentsTreatment fidelity of instruction

Dual discrepancy modelOne standard deviation from typically

performing peers in level and rate

Page 33: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

RoI Foundations

Ardoin & Christ, 2008 Slope for benchmarks (3x per year) More growth from fall to winter than winter to

spring Might be helpful to use RoI for fall to winter And a separate RoI for winter to spring

Page 34: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

RoI Foundations

Fuchs, Fuchs, Hamlett, Walz, & Germann, 1993 Typical weekly growth rates in oral reading

fluency and digits correct Needed growth to remediate skills

Students who had 1.5 to 2.0 times the slope of typically performing peers were able to close the achievement gap in a reasonable amount of time

Page 35: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

RoI Foundations

Deno, Fuchs, Marston, & Shin, 2001 Slope of frequently non-responsive children

approximated slope of children already identified as having a specific learning disability

Page 36: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

How many data points?

10 data points are a minimum requirement for a reliable trendline (Gall & Gall, 2007) Is that reasonable and realistic?

How does that affect the frequency of administering progress monitoring probes?

How does that affect our ability to make instructional decisions for students?

Page 37: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

How can we show RoI?

Speeches that included visuals, especially in color, improved recall of information (Vogel, Dickson, & Lehman, 1990)

“Seeing is believing.” Useful for communicating large amounts of

information quickly “A picture is worth a thousand words.” Transcends language barriers (Karwowski, 2006) Responsibility for accurate graphical

representations of data (Flinn, 2008)

Page 38: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Skills for Which We Compute RoI

Reading Oral Reading Fluency Word Use Fluency Reading Comprehension

MAZE/DAZE Retell, Word Use

Early Literacy Skills Initial Sound Letter Naming Letter Sound Phoneme Segmentation Nonsense Word

Spelling Written Expression

TWW, CWS, WSC

Math Math Computation Math Concepts Math Facts Early Numeracy

Oral Counting Missing Number Number Identification Quantity

Discrimination Behavior

Page 39: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Guidelines?

Visual inspection of slope

Multiple interpretations

Instructional services

Need for explicit guidelines

Page 40: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Ongoing Research

RoI for instructional decisions is not a perfect process

Research is currently addressing sources of error: Christ, 2006: standard error of measurement for slope Ardoin & Christ, 2009: passage difficulty and variability Jenkin, Graff, & Miglioretti, 2009: frequency of

progress monitoring

Page 41: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Future Considerations

Questions yet to be empirically answered What parameters of RoI indicate a lack of RtI? How does standard error of measurement play into

using RoI for instructional decision making? How does RoI vary between standard protocol

interventions? How does this apply to non-English speaking

populations?

Page 42: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Multiple Methods for Calculating Growth

Visual Inspection Approaches “Eye Ball” Approach Split Middle Approach

Quantitative Approaches Tukey Method Last point minus First point Approach Split Middle “plus” Linear Regression Approach

Page 43: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

The Visual Inspection Approaches

Page 44: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Eye Ball Approach

41

62 63

75

64

8083 83

56

104

74

0

20

40

60

80

100

120

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18

School Week

Wo

rds P

er

Min

ute

Page 45: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Split Middle Approach

Drawing “through the two points obtained from the median data values and the median days when the data are divided into two sections”

(Shinn, Good, & Stein, 1989)

Page 46: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Split Middle

X(63)

X(83)

X (9)41

62 63

75

64

8083 83

56

104

74

0

20

40

60

80

100

120

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18

School Week

Wo

rds P

er

Min

ute

Page 47: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

The Quantitative Approaches

Page 48: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Tukey Method

Divide scores into 3 equal groups Divide groups with vertical lines In 1st and 3rd groups, find median data point and

median week and mark with an “X” Draw line between two “Xs”

(Fuchs, et. al., 2005. Summer Institute Student progress monitoring for math. http://www.studentprogress.org/library/training.asp)

Page 49: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Tukey Method

X(62)

X(74)

41

62 63

75

64

8083 83

56

104

74

0

20

40

60

80

100

120

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18

School Week

Wo

rds

Per

Min

ute

Page 50: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Calculating Slope: Tukey Method

3rd median point minus the 1st median point

Divided by the number of data points minus one

(74-62)/(11-1) = slope 12/10=1.2

Page 51: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Last minus First

Iris Center: last probe score minus first probe score over last administration period minus first administration period.

Y2-Y1/X2-X1= RoI

http://iris.peabody.vanderbilt.edu/resources.html

Page 52: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Last minus First

41

62 63

75

64

8083 83

56

104

74

0

20

40

60

80

100

120

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18

School Week

Wo

rds

Per

Min

ute

Page 53: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Last Minus First

Y2-Y1/X2-X1=RoI(74-41)/(18-1)=RoI33/17=1.9

Page 54: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Split Middle “Plus”

X(63)

X(83)

X (9)41

62 63

75

64

8083 83

56

104

74

0

20

40

60

80

100

120

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18

School Week

Wo

rds P

er

Min

ute

Page 55: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Split Middle “Plus”

Y2-Y1/X2-X1=RoI(83-63)/(15.5-6.5)=RoI20/9=2.2

Page 56: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Linear Regression

41

62 63

75

64

8083 83

56

104

74

y = 2.5138x + 42.113

0

20

40

60

80

100

120

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18

School Week

Wo

rds P

er

Min

ute

Page 57: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

RoI Consistency?

Any Method of Visual Inspection

???

Last minus First 1.9

Tukey Method 1.2

Split Middle “Plus” 2.2

Linear Regression

2.5

Page 58: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

RoI Consistency?

If we are not all using the same model to compute RoI, we continue to have the same problems as past models, where under one approach a student meets SLD criteria, but under a different approach, the student does not.

Without a consensus on how to compute RoI, we risk falling short of having technical adequacy within our model.

Page 59: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

So, Why Are There So Many Other RoI Models?

Ease of application Focus on Yes/No to goal acquisition,

not degree of growth How many of us want to calculate OLS

Linear Regression formulas (or even remember how)?

Page 60: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Literature shows that Linear Regression is Best Practice

Student’s daily test scores…were entered into a computer program…The data analysis program generated slopes of improvement for each level using an Ordinary-Least Squares procedure (Hayes, 1973) and the line of best fit.

This procedure has been demonstrated to represent CBM achievement data validly within individual treatment phases (Marston, 1988; Shinn, Good, & Stein, in press; Stein, 1987).

Shinn, Gleason, & Tindal, 1989

Page 61: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Growth (RoI) Research using Linear Regression

Christ, T. J. (2006). Short-term estimates of growth using curriculum based measurement of oral reading fluency: Estimating standard error of the slope to construct confidence intervals. School Psychology Review, 35, 128-133.

Deno, S. L., Fuchs, L. S., Marston, D., & Shin, J. (2001). Using curriculum based measurement to establish growth standards for students with learning disabilities. School Psychology Review, 30, 507-524.

Good, R. H. (1990). Forecasting accuracy of slope estimates for reading curriculum based measurement: Empirical evidence. Behavioral Assessment, 12, 179-193.

Fuchs, L. S., Fuchs, D., Hamlett, C. L., Walz, L. & Germann, G. (1993). Formative evaluation of academic progress: How much growth can we expect? School Psychology Review, 22, 27-48.

Page 62: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Growth (RoI) Researchusing Linear Regression

Jenkins, J. R., Graff, J. J., & Miglioretti, D.L. (2009). Estimating reading growth using intermittent CBM progress monitoring. Exceptional Children, 75, 151-163.

Shinn, M. R., Gleason, M. M., & Tindal, G. (1989). Varying the difficulty of testing materials: Implications for curriculum-based measurement. The Journal of Special Education, 23, 223-233.

Shinn, M. R., Good, R. H., & Stein, S. (1989). Summarizing trend in student achievement: A comparison of methods. School Psychology Review, 18, 356-370.

Page 63: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Incorporating Research

More growth from fall to winter than winter to spring for benchmarks (3x per year) Christ & Ardoin (2008) Christ, Yeo, Silberglitt (in press) Fien, Park, Smith, & Baker (2010)

More growth from winter to spring than fall to winter Graney, Missall, & Martinez (2009)

Page 64: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Actual Student Data & Benchmark 3rd grade DIBELS ORF

y = 2.5138x + 42.113

y = 0.8824x + 76.118

0

20

40

60

80

100

120

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18

y = 1.8872x + 74.81

y = 1.0588x + 90.941

0

20

40

60

80

100

120

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18

Student SLOPE=2.5

Benchmark ROI=0.88

Student SLOPE=1.89

Benchmark ROI=1.06

Page 65: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

McCrea (2010)

Looked at Rate of Improvement in small 2nd grade sample

Found differences in RoI when computed for fall and spring:

Ave RoI for fall: 1.47 WCPM Ave RoI for spring: 1.21 WCPM

Page 66: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

DIBELS (6th Ed.) ORF Change in Criteria

Fall to Fall to WinterWinter

Winter to Winter to SpringSpring

22ndnd 2424 2222

33rdrd 1515 1818

44thth 1313 1313

55thth 1111 99

66thth 1111 55

Page 67: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

AIMSweb Norms

Based on 50Based on 50thth PercentilePercentile

Fall to WinterFall to Winter Winter to Winter to SpringSpring

11stst 1818 3131

22ndnd 2525 1717

33rdrd 2222 1515

44thth 1616 1313

55thth 1717 1515

66thth 1313 1212

Page 68: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Speculation as to why Differences in RoI within the Year

Relax instruction after high stakes testing in March/April; a state test effect.

Depressed BOY benchmark scores due to summer break; a rebound effect (Clemens).

Instructional variables could explain differences in Graney (2009) and Ardoin (2008) & Christ (in press) results (Silberglitt).

Variability within progress monitoring probes (Ardoin & Christ, 2008) (Lent).

Page 69: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Get Out Your Laptops!Open Microsoft ExcelOpen Microsoft Excel

I loveROI

Page 70: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Graphing RoIFor Individual Students

Programming Microsoft Excel to Graph Programming Microsoft Excel to Graph Rate of Improvement: Rate of Improvement:

Fall to WinterFall to Winter

Page 71: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Setting Up Your Spreadsheet

In cell A1, type 3rd Grade ORF In cell A2, type First Semester In cell A3, type School Week In cell A4, type Benchmark In cell A5, type the Student’s Name

(Swiper Example)

Page 72: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Labeling School Weeks

Starting with cell B3, type numbers 1 through 18 going across row 3 (horizontal).

Numbers 1 through 18 represent the number of the school week.

You will end with week 18 in cell S3.

Page 73: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Labeling Dates

Note: You may choose to enter the date of that school week across row 2 to easily identify the school week.

Page 74: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Entering Benchmarks(3rd Grade ORF))

In cell B4, type 77. This is your fall benchmark.

In cell S4, type 92. This is your winter benchmark.

Page 75: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Entering Student Data (Sample)

Enter the following numbers, going across row 5, under corresponding week numbers.

Week 1 – 41 Week 8 – 62 Week 9 – 63 Week 10 – 75 Week 11 – 64

Week 12 – 80 Week 13 – 83 Week 14 – 83 Week 15 – 56 Week 17 – 104 Week 18 – 74

Page 76: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

*CAUTION*

If a student was not assessed during a certain week, leave that cell blank

Do not enter a score of Zero (0) it will be calculated into the trendline and interpreted as the student having read zero words correct per minute during that week.

Page 77: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Graphing the Data

Highlight cells A4 and A5 through S4 and S5

Follow Excel 2003 or Excel 2007 directions from here

Page 78: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Graphing the Data

Excel 2003 Across the top of your

worksheet, click on “Insert”

In that drop-down menu, click on “Chart”

Excel 2007 Click Insert Find the icon for Line Click the arrow below

Line

Page 79: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Graphing the Data

Excel 2003 A Chart Wizard window

will appear

Excel 2007 6 graphics appear

Page 80: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Graphing the Data

Excel 2003 Choose “Line” Choose “Line with

markers…”

Excel 2007 Choose “Line with

markers”

Page 81: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Graphing the Data

Excel 2003 “Data Range” tab “Columns”

Excel 2007 Your graph appears

Page 82: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Graphing the Data

Excel 2003 “Chart Title” “School Week” X Axis “WPM’ Y Axis

Excel 2007 To change your graph

labels, click on your graph Then your options appear

at the top Click on one of the Chart

Layouts

Page 83: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Graphing the Data

Excel 2003 Choose where you want

your graph

Excel 2007 Your chosen layout is

applied to the graph You can click on the

labels to change them

Page 84: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Graphing the Trendline

Excel 2003 Right click on any of the student data points

Excel 2007Excel 2007

Page 85: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Graphing the Trendline

Excel 2003 Choose “Linear”

Excel 2007

Page 86: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Graphing the Trendline

Excel 2003 Choose “Custom” and check box next to “Display

equation on chart”

Excel 2007

Page 87: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Graphing the Trendline

Clicking on the equation highlights a box around it

Clicking on the box allows you to move it to a place where you can see it better

Page 88: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Graphing the Trendline

You can repeat the same procedure to have a trendline for the benchmark data points

Suggestion: label the trendline Expected ROI Move this equation under the first

Page 89: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Individual Student Graph:Fall to Winter

Page 90: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Individual Student Graph

The equation indicates the slope, or rate of improvement.

The number, or coefficient, before "x" is the average improvement, which in this case is the average number of words per minute per week gained by the student.

Page 91: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Individual Student Graph

The rate of improvement, or trendline, is calculated using a linear regression, a simple equation of least squares.

To add additional progress monitoring/benchmark scores once you’ve already created a graph, enter additional scores in Row 5 in the corresponding school week.

Page 92: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Individual Student Graph

The slope can change depending on which week (where) you put the benchmark scores on your chart.

Enter benchmark scores based on when your school administers their benchmark assessments for the most accurate depiction of expected student progress.

Page 93: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Programming ExcelFirst Semester

Calculating Needed RoICalculating Benchmark RoI

Calculating Student’s Actual RoI

Page 94: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Quick Definitions

Needed RoI The rate of improvement needed to “catch” up to the

next benchmark. Benchmark RoI

The rate of improvement of typically performing peers according to the norms

Student’s Actual RoI Based on the available data points, this is the

student’s actual rate of improvement per week

Page 95: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Calculating Needed RoI

In cell T3, type Needed RoI Click on cell T5 In the fx line (at top of sheet) type this formula

=((S4-B5)/18) Then hit enter Your result should read: 2.83333... This formula simply subtracts the student’s actual

beginning of year (BOY) benchmark from the expected middle of year (MOY) benchmark, then dividing by 18 for the first 18 weeks (1st semester).

Page 96: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Calculating Benchmark RoI

In cell U3, type Benchmark RoI Click on cell U4 In the fx line (at top of sheet) type this formula

=SLOPE(B4:S4,B3:S3) Then hit enter Your result should read: 0.8825... This formula considers 18 weeks of benchmark

data and provides an average growth or change per week.

Page 97: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Calculating Student Actual RoI

Click on cell U5 In the fx line (at top of sheet) type this formula

=SLOPE(B5:S5,B3:S3) Then hit enter Your result should read: 2.5137... This formula considers 18 weeks of student data

and provides an average growth or change per week.

Page 98: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Making Decisions: Best Practice

Research has yet to establish a blue print for ‘grounding’ student RoI data.

At this point, teams should consider multiple comparisons when planning and making decisions. National User Norms (AIMSWEB, DIBELS) Local, District, Grade Level, School Building

Page 99: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Tigard-Tualatin School District Tigard-Tualatin School District (www.ttsd.k12.or.us)(www.ttsd.k12.or.us)

Looking at Percent of Expected Growth

Tier I Tier II Tier III

Greater than 150%

Between 110% & 150%

Possible LD

Between 95% & 110%

Likely LD

Between 80% & 95%

May Need More

May Need More

Likely LD

Below 80% Needs More Needs More Likely LD

Page 100: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Making Decisions: Lessons From the Field

When tracking on grade level, consider an RoI that is 100% of expected growth as a minimum requirement, consider an RoI that is at or above the needed as optimal.

So, 100% of expected and on par with needed become the limits of the range within a student should be achieving.

Page 101: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

What about Students Not on Grade Level?

Determining Instructional Level Independent/Instructional/Frustrational Instructional often b/w 40th or 50th percentile and

25th percentile. Frustrational level below the 25th percentile. AIMSweb: Survey Level Assessment (SLA).

Page 102: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Setting Goals off of Grade Level

100% of expected growth not enough. Needed growth only gets to instructional level

benchmark, not grade level. Risk of not being ambitious enough. Plenty of ideas, but limited research regarding

Best Practice in goal setting off of grade level. Best Practices V – Shapiro Chapter

Page 103: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Possible Solution (A)

Weekly probe at instructional level and compare to expected and needed growth rates at instructional level.

Ambitious goal: 200% of expected RoI (twice the expected RoI)

Page 104: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Possible Solution (B)

Weekly probe at instructional level for sensitive indicator of growth.

Monthly probes (give 3, not just 1) at grade level to compute RoI.

Goal based on grade level growth (more than 100% of expected).

Page 105: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

When to make a change in instruction and intervention?

Enough data points (6 to 10)? Less than 100% of expected growth. Not on track to make benchmark (needed

growth). Not on track to reach individual goal.

Page 106: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

How deficient is the student’s ROI? The 2.0X calculation Divide norm group mean ROI by student’s ROI Result expressed as a ratio of deficiency Example:

1.0 wpm/wk = 2.0X0.5 wpm/wk

Page 107: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

2.0X calculation Divide norm group mean ROI by student’s ROI Result expressed as a ratio of deficiency Example:

1.0 wpm/wk = 2.0X

0.5 wpm/wk

ExamplesJoe Elliot

.9 wpm/wk = .44X .9 wpm/wk = 3.0X2.1 wpm/wk .3 wpm/wk

Elliot’s deficiency in ROI exceeds 2.0X

Page 108: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Example of Report Language:Documentation of Deficiency in Rate of Improvement Throughout the current intervention period, Elliot has

displayed little progress. At the beginning of the intervention, Elliot scored 56 wpm on oral reading fluency probes. His last score at the end of the intervention was 59 wpm. Elliot's calculated rate of improvement during this period was 0.3 wpm/week. Compared to the typical rate of improvement for students in Elliot’s grade (0.9 wpm/week), Elliot’s range is 3.0X deficient.

Page 109: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

How low is low? How slow is slow?

There is not a research consensus on this issue at this time. Note that there never was a research consensus on the

extent of the ability-achievement discrepancy.

However, there is a good deal of research underway addressing this question (e.g., Christ, Ardoin, et al.).

How deficient does the student need to be to qualify?How deficient does the student need to be to qualify?

Page 110: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

In the meantime…

The decision on how deficient a student needs to be to qualify rests with the MDE.

A rough guide: A student with a learning disability should be severely deficient in level and display a poor response to research-based interventions (slope) such that he or she is not likely to meet benchmarks in a reasonable amount of time without intensive specially designed instruction.

Page 111: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Criterion: #3: Criterion: #3: Rule out other factors or conditionsThe group may determine the child has an SLD if:

3. The group determines the results are not primarily the

result of -

(i) A visual, hearing, or motor disability;(ii) Mental retardation;

(iii) Emotional disturbance;(iv) Cultural factors;(v) Environmental or economic disadvantage(vi) Limited English proficiency

§ 300.309(a 300.309(a))Exclusionary Criteria

Page 112: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Specific Learning Disability

Inclusionary Exclusionary

1.

Failure to meet age- or grade-level State standards in one of eight areas:

oral expression

listening comprehension

written expressionbasic reading skill reading fluency skillreading comprehension mathematics calculation mathematics problem solving

2.

Discrepancy: Pattern of strengths & weaknesses, relative to intellectual ability as defined by a severe discrepancy between intellectual ability and achievement, or relative to age or grade.

OR

RTI: Lack of progress in response to scientifically based instruction

3.

Rule out:

Vision, hearing, or motor problems

mental retardationemotional disturbancecultural and/or environmental issueslimited English proficiency

4.

Rule out lack of instruction by documenting:

Appropriate instruction by qualified personnel

Repeated assessments

Observation

Page 113: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Rule Out: Vision

Screening procedure Check vision records (school nurse)

If positive, assess… Optometric or ophthalmology exam

Possible extraneous factor or condition that could account for learning problem

Visual Impairment

Adapted from Reschly (2005)

Page 114: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Rule Out: Hearing

Screening procedure Check hearing records (school nurse)

If positive, assess… Audiological exam

Possible extraneous factor or condition that could account for learning problem

Hearing Impairment

Adapted from Reschly (2005)

Page 115: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Rule Out: Motor

Screening procedure Check school health records (school nurse); observations of motoric problems

If positive, assess… Physical or occupational therapy exam; medical examination

Possible extraneous factor or condition that could account for learning problem

Physical Disability or Health Impairment

Adapted from Reschly (2005)

Page 116: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Example of Report Language:Documentation of Rule-out of Other Disabilities

and Conditions Sensory Impairments: John's vision has been

screened on an annual basis by the school. No visual problems have been detected. Vision problems are ruled out as a possible reason for John's academic difficulties.

Page 117: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Rule Out: Mental Retardation

Screening procedure Review of school records indicating typical functioning in other academic and adaptive behavior

If positive, assess… Intelligence test; test of adaptive behavior

Possible extraneous factor or condition that could account for learning problem

Mental Retardation

Adapted from Reschly (2005)

Page 118: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Example of Report LanguageDocumentation of Rule-out of Other Disabilities and

Conditions Mental Retardation: John displays many indications of

typical intellectual ability. He has scores in the proficient range on tests of arithmetic skills since kindergarten, including state tests and universal screenings. His developmental milestones were age-appropriate, and he displays adaptive skills that are appropriate for his age and grade level according to both his parents and his teacher’s report on the Behavior Assessment for Children (BASC) II. Based on this information, mental retardation can be ruled out as a possible reason for John's academic difficulties.

Page 119: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Rule Out: Emotional Disturbance

Screening procedure Behavioral checklists

If positive, assess… Behavior rating scales, other assessments of behavior and affect

Possible extraneous factor or condition that could account for learning problem

Emotional disturbance

Adapted from Reschly (2005)

Page 120: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Example of Report Language:Documentation of Rule-out of Other Disabilities and

Conditions Emotional Disturbance: John displays appropriate

behavior in the classroom. He is attentive and tries hard. He gets along well with his peers and teachers. According to the results of the Behavior Assessment for Children (BASC) II, his parents and teacher report typical behavior on both externalizing and internalizing subscales. John is often frustrated by his difficulties in learning to read, but these emotions appear to be secondary to his reading disability. Based on these data, emotional disturbance can be ruled out as a possible reason for John's academic difficulties.

Page 121: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Rule Out: Cultural Factors

Screening procedure Assess cultural status (e.g., Acculturation Quick Scale)

If positive, assess… Interview with family

Possible extraneous factor or condition that could account for learning problem

Level of acculturation; cultural differences

Adapted from Reschly (2005)

Page 122: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Rule Out: Environmental or Economic Disadvantage

Screening procedure School records

If positive, assess… “Social work” interview with family

Possible extraneous factors or conditions that could account for learning problem

Child abuse, lack of sleep, poor nutrition, etc.

Adapted from Reschly (2005)

Page 123: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Rule Out: Limited English Proficiency

Screening procedure Home language screening (required by law)

If positive, assess… Primary language assessment

Possible extraneous factor or condition that could account for learning problem

May not have BICS or CALP necessary for learning academic content

Adapted from Reschly (2005)

Page 124: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Example of Report Language:Documentation of Rule-out of Other Disabilities

and Conditions Culture and Language: John is an African-

American student whose primary home language is English. Although he participates in the free and reduced lunch program, it is not believed that acculturation, language, or environmental circumstances are the primary cause of John's academic difficulties.

Page 125: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Criterion #4: Criterion #4: RULE OUT LACK OF INSTRUCTION

A child must not be determined to be a child with adisability under this part—(1) If the determinant factor for that determination is—

(i) Lack of appropriate instruction in reading, including the essential components of reading instruction (as defined in section 1208(3) of the ESEA);

(ii) Lack of appropriate instruction in math, or(iii) Limited English proficiency;

(§300.306[b])

Page 126: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

To ensure that underachievement is not due to lack of appropriate instruction in reading or math the group must consider:

Data that demonstrate that prior to, or as a part of, the referral process, the child was provided appropriate instruction in regular education settings delivered by qualified personnel

Data-based documentation of repeated assessments of achievement at reasonable intervals, reflecting formal assessment of student progress during instruction, which was provided to the child’s parents

§ 300.309(b) 300.309(b)Exclusionary Criteria

Page 127: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Specific Learning Disability

Inclusionary Exclusionary

1.

Failure to meet age- or grade-level State standards in one of eight areas:

oral expression

listening comprehension

written expressionbasic reading skill reading fluency skillreading comprehension mathematics calculation mathematics problem solving

2.

Discrepancy: Pattern of strengths & weaknesses, relative to intellectual ability as defined by a severe discrepancy between intellectual ability and achievement, or relative to age or grade.

OR

RTI: Lack of progress in response to scientifically based instruction

3.

Rule out:

Vision, hearing, or motor problems

mental retardationemotional disturbancecultural and/or environmental issueslimited English proficiency

4.

Rule out lack of instruction by documenting:

Appropriate instruction by qualified personnel

Repeated assessments

Observation

Page 128: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

NCLB §1208(3)

(3) ESSENTIAL COMPONENTS OF READING INSTRUCTION.—The term ‘essential components of reading instruction’

means explicit and systematic instruction in—(A) phonemic awareness;(B) phonics;(C) vocabulary development;(D) reading fluency, including oral reading skills; and(E) reading comprehension strategies.

Page 129: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

IDEA Language §300.309(b): To ensure that underachievement in a child

suspected of having a specific learning disability is not due to lack of appropriate instruction in reading or math, the group must consider, as part of the evaluation described in §§ 300.304 through 300.306—

(1) Data that demonstrate that prior to, or as a part of, the referral process, the child was provided appropriate instruction in regular education settings, delivered by qualified personnel; and

(2) Data-based documentation of repeated assessments of achievement at reasonable intervals, reflecting formal assessment of student progress during instruction, which was provided to the child’s parents.

Page 130: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Key Questions to AddressKey Questions to Address

Is a Standards-Based Curriculum in Place (Tier 1)? Is it based on scientific research? If a scientifically validated curriculum is in

place, is there evidence that it is being delivered at a sufficient level of fidelity?

Page 131: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Was the student effectively taught?

Has the student been provided with individualized supports in the general education classroom (Tier 1)?

Has the student been provided with a sufficiently intense individualized intervention using research-based instructional procedures (Tier 2)?

Key Questions to AddressKey Questions to Address

Page 132: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Core Reading Program

General Principles Serves as the base of reading instruction Provides complete instruction in the key

components of reading Designed for all settings and all students Is preventive and proactive Incorporates a high probability of student

proficiency (80%)

Page 133: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Core Reading Program

Program DesignAligned student materials and assessmentsSmall and large group instructional

activitiesScaffolding to support initial learning and

transference of skillsCumulative review

Page 134: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Q. What do we do in those situations in which core programs are recommended, but the review of the literature does not identify a solid research base?

A. Supplemental reading programs provide additional instruction in one or more areas of reading to support the core.

One size does not fit all—may need to supplement or modify (Oregon Reading First, 2004) Core Core plus supplemental Core plus intervention Intervention Intervention plus supplemental

Page 135: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Effective Instructional Design

Allocation of time Connection to supplemental materials Grouping strategies

Implemented Flexible

Active student engagement Effective classroom management High levels of academic learning time

Page 136: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

If a scientifically validated curriculum If a scientifically validated curriculum is in place, is there evidence that it is is in place, is there evidence that it is being delivered at a sufficient level being delivered at a sufficient level of fidelity?of fidelity?

Page 137: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Tier 1 Fidelity Check: Process

How long has the curriculum been in place? Were teachers adequately trained? Are teachers using the prescribed materials? Is the curriculum being delivered for a sufficient

amount of time? How long has the student been taught in this

curriculum? Is the curriculum being delivered according to

prescribed directions?

Page 138: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Considerations to assess the provision of appropriate instruction

Principal’s observation of teacher performance through classroom visits and observations conducted during the instructional period for the targeted content/subject area on a regular basis.

Checklists of integrity of instruction completed by teachers as self-check measures

Checklists of integrity of instruction completed among teachers as peer-check measures

Completion of checklists by content specialists or curriculum supervisors working with teachers.

Page 139: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Fidelity Check Options

Use of a prepared checklist of critical features of the instructional program: Teacher self-monitoring Peer coaching Lesson plan review by principal Observation by principal

Many programs leave permanent products that reflect fidelity.

Page 140: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Tier 1 Fidelity Check: Outcomes

Has the general education curriculum succeeded in bringing a high percentage of students to proficiency?

The sufficiency of the general education curriculum should be judged by its outcomes in terms of overall student performance.

Page 141: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Keshawn (green) performs well below expectations.

However, so do all of his classmates.

Expected Performance

Words per minute

Adapted from Witt (2006)

Page 142: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Next Question: Has the student been provided with individualized supports in the general education classroom?

Has a plan been developed that targets the student’s deficiency through supplemental intervention in the general education classroom (differentiated instruction)?

Is the supplemental program based on research?

Page 143: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Has the student been provided with a sufficiently intense individualized intervention using research-based instructional procedures (Tier 2)? Has a plan been developed that targets the

student’s deficiency through supplemental intervention in the general education classroom (differentiated instruction)?

Is the supplemental program based on research? Have the interventions used featured a research-

based “standard protocol”?

Page 144: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

A Standard Protocol Intervention …

is scientifically based. has a high probability of producing change for

large numbers of students. is usually delivered in small groups. is designed to be used in a standard manner

across students. is often scripted or very structured.

Page 145: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Tier 2 Process Analysis (cont.)

Has the intervention been implemented with a high degree of fidelity?

Has progress monitoring occurred at least weekly during the course of the intervention?

Has a building-level team (e.g., IST) helped to design and guide the implementation of the intervention?

Page 146: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Tier 2 Analysis: Outcomes

Is there evidence that the individualized intervention provided to the student has facilitated meaningful progress for other students receiving the same supports?

Page 147: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

75

71

64 6462

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20

30

40

50

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80

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Original Scores Post-InterventionScores

Adapted from Witt (2006)

Page 148: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Examples of Report Language:Documentation of Effective Instruction and Intervention John has received appropriate instruction in reading

throughout his four years at Lincoln Elementary School (K-3). Since kindergarten, John’s teachers have used the SRA Reading Mastery reading series, which uses explicit instructional procedures to teach the “big ideas” in reading. This research-based program has been successful in bringing 80% of the current third graders to proficiency. All of John's teachers have had extensive training with SRA. Fidelity checks conducted by reading coaches and the school principal indicate that the SRA program has been used with a high degree of fidelity. (Documentation of the fidelity checks are on file in the principal's office.)

Page 149: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

(cont.) John has been provided with intensive reading interventions at tier 2

of Lincoln's three-tier model since September of 2008. He has been provided with small-group interventions to address his difficulties in phonemic awareness and decoding skills, using the Early Reading Intervention (ERI) program (Scott Foresman). ERI has been identified by the Florida Center for Reading Research as a research-based practice, and has been shown to significantly increase the proficiency of students at tiers 2 and 3 in Lincoln School. Fidelity checks conducted by the district’s reading coordinator indicate that the reading teachers who implemented the ERI program have done so with a high degree of fidelity. (Documentation of the fidelity checks are on file in the principal's office.)

Page 150: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Repeated Assessments

Repeated assessments of achievement or behavior, or both, conducted at reasonable intervals, reflecting formal monitoring of student progress during the interventions.

Information regarding the student’s progress should be periodically provided to the student’s parents.

Page 151: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Frequency of Repeated Assessments

Repeated assessment information may come from: Universal Screening

Typically conducted 3 times a year

Strategic intervention Typically progress monitored once a month

Intense intervention ( tier 2) Typically progress monitored once a week

Page 152: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Examples of Report Language:Documentation of Repeated Measures of Assessment Since kindergarten, John has been assessed during the

universal screening in reading three times per year (fall, winter, spring). Since his involvement with tier two interventions this year, John's progress has been monitored using curriculum-based measurement (CBM) on a weekly basis. Results of both universal screening and progress monitoring have been provided to his parents through written reports and periodic parent conferences.

Page 153: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

May other instruments be administered?

Tests of cognitive processing Tests of visual motor integration Tests of auditory processing Tests of receptive and expressive language Etc.

Yes.Yes.

When conducting a comprehensive evaluationMDT determines what is needed

Page 154: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Should other instruments be administered? Consider treatment validity.The selection of any assessment instrument or

procedure is solely dependent on its ability to provide specific information about scientifically validated instructional strategies that have a high probability of producing meaningful change in the student’s academic or social-emotional skills.

Page 155: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Can you use both models?

According to an OSEP letter to the field, a district may use both the RTI model and the discrepancy model in particular situations. A district with a plan to phase in RTI over a three to five year period may use RTI in one building and the discrepancy model in another.

Districts may also choose to use RTI for SLD determination at the elementary level and discrepancy model at the secondary level.

These and other exceptions must be documented and approved through the special education plan approval process.

Page 156: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

However…

If a district chooses RTI as its procedure for a particular school, all students identified with SLD in that school must meet the RTI eligibility criteria, in addition to what may be indicated on other assessments.

Conversely, if a district chooses the ability-achievement (A-A) discrepancy as its procedure for a particular school, all students identified with SLD in that school must meet the A-A eligibility criteria, in addition to what other assessments or the student’s RTI indicate.

Page 157: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Protecting Parents’ Rights

The public agency must promptly request parental consent to evaluate:

If prior to referral, a child has not made adequate progress after an appropriate period of time when provided instruction

and

Whenever a child is referred for an evaluation

§300.309(c)

Page 158: Determining Eligibility for Special Education in an RTI System Joseph F. Kovaleski, D.Ed., NCSP Indiana University of PA Indiana, PA Caitlin S. Flinn,

Contact Information:Joseph F. Kovaleski, D.Ed., NCSP

Indiana University of PAIndiana, PA 15705

724/357-3785

[email protected]/kovaleski

Caitlin S. Flinn, MEd, NCSP

Exeter Township School District

Reading, PA

[email protected]

www.rateofimprovement.com