1 data collection and analysis for students with autism meredith eads, m.ed. dr. judy marco october...

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1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008

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Page 1: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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Data Collection and Analysis for Students with AutismData Collection and Analysis for Students with AutismMeredith Eads, M.Ed.Dr. Judy Marco October 28, 2008

Meredith Eads, M.Ed.Dr. Judy Marco October 28, 2008

Page 2: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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Why Collect Data?Why Collect Data?

Data will help you:Data will help you:

• Identify patterns• Make data-driven decisions• Modify your delivery of instruction• Feel more confident• Enlist support• Communicate & Provide information• Stand by your classroom decisions

Data will help you:Data will help you:

• Identify patterns• Make data-driven decisions• Modify your delivery of instruction• Feel more confident• Enlist support• Communicate & Provide information• Stand by your classroom decisions

Page 3: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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Why collect data?Why collect data?

• Meet suggested skill competencies developed by Virginia Autism Council

• Avoid lawsuits, or defend yourself in case they do happen

• IDEIA (2004) requires a student’s individualized education plan (IEP) to include:

A statement of how the child’s progress toward the annual goals will be measured.

• In a nutshell…because we have to.

• Meet suggested skill competencies developed by Virginia Autism Council

• Avoid lawsuits, or defend yourself in case they do happen

• IDEIA (2004) requires a student’s individualized education plan (IEP) to include:

A statement of how the child’s progress toward the annual goals will be measured.

• In a nutshell…because we have to.

Page 4: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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What constitutes data?What constitutes data?

Data is defined as:

  factual information (as measurements or statistics) used as a basis for reasoning, discussion, or calculation.

Data is defined as:

  factual information (as measurements or statistics) used as a basis for reasoning, discussion, or calculation.

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What constitutes data?What constitutes data?

Rank ordered most to least effective

• Data Sheets and associated graphs

• Behavior Sheets• Mainstream checklists• DRA• Benchmark Tests• Formal Observations• Anecdotal Records• Grades• Student work

Rank ordered most to least effective

• Data Sheets and associated graphs

• Behavior Sheets• Mainstream checklists• DRA• Benchmark Tests• Formal Observations• Anecdotal Records• Grades• Student work

These are more subjective, therefore are less accurate,and cannot be used as solesource of information

Page 6: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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Data Collection ExamplesData Collection Examples

• Curriculum-based

Assessments

• Recording observations

• Curriculum-based

Assessments

• Recording observations

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Data Collection: Curriculum-based Assessment (CBA)

Data Collection: Curriculum-based Assessment (CBA)

• Repeated measures of a student’s progress within the classroom curriculum

• Results analyzed to see if learning environment or instructional techniques are working for the student

• Results help teachers redesign instruction

• Repeated measures of a student’s progress within the classroom curriculum

• Results analyzed to see if learning environment or instructional techniques are working for the student

• Results help teachers redesign instruction

Page 8: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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Data Collection Tool ExampleData Collection Tool Example

Child/Target

Monday Wed. Friday

Eddie2 - syllable

+/- +/- +/- +/- +/-

+/- +/- +/- +/- +/-

+/- +/- +/- +/- +/-

3- syllable +/- +/- +/- +/- +/-

+/- +/- +/- +/- +/-

+/- +/- +/- +/- +/-

4- syllable +/- +/- +/- +/- +/-

+/- +/- +/- +/- +/-

+/- +/- +/- +/- +/-

Joy2 - syllable

+/- +/- +/- +/- +/-

+/- +/- +/- +/- +/-

+/- +/- +/- +/- +/-

3 - syllable +/- +/- +/- +/- +/-

+/- +/- +/- +/- +/-

+/- +/- +/- +/- +/-

4 - syllable +/- +/- +/- +/- +/-

+/- +/- +/- +/- +/-

+/- +/- +/- +/- +/-

Example:

Given 2-4 syllable words, Eddie will identify, by clapping, the number of syllables in words presented orally with 90% accuracy on 3 consecutive probes.

Example:

Given 2-4 syllable words, Eddie will identify, by clapping, the number of syllables in words presented orally with 90% accuracy on 3 consecutive probes.

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Data Collection:Observation & RecordingData Collection:

Observation & Recording

• This type of data collection is individualized to address specific IEP academic and behavioral goals.

• Is not linked to set curriculum or standardized assessment.

• This type of data collection is individualized to address specific IEP academic and behavioral goals.

• Is not linked to set curriculum or standardized assessment.

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Identify a Behavior to MeasureIdentify a Behavior to Measure

• What challenging behavior is interfering most with the student’s learning or the learning of others?

• What positive behaviors are you trying to increase?

• Make sure it is observable and quantifiable.

• What challenging behavior is interfering most with the student’s learning or the learning of others?

• What positive behaviors are you trying to increase?

• Make sure it is observable and quantifiable.

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Guidelines for Behavior Selection

Guidelines for Behavior Selection

• Functional• Age-appropriate• Realistic• Goal behavior or prerequisite

behavior• Socially valid• Likely to generalize and be

maintained in the natural environment

• Functional• Age-appropriate• Realistic• Goal behavior or prerequisite

behavior• Socially valid• Likely to generalize and be

maintained in the natural environment

Page 12: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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ObservableObservable

Which can you see/measure?

• Is noncompliant• Completes assignments• Responds to greetings• Throws toys • Is lazy and unmotivated• Is nice to peers

Which can you see/measure?

• Is noncompliant• Completes assignments• Responds to greetings• Throws toys • Is lazy and unmotivated• Is nice to peers

Page 13: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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Operational Definitions Operational Definitions

Define the behaviors so that they pass the “stranger test” – what, exactly do they look like? Provide clear parameters, as well as non-examples.

Example: “Self-Injurious Hitting” = The student hits himself on the head with an open hand. Each instance is separated by the hand lifting off of the head. Does not include closed-fisted punches to own head, or any kind of hits to others.

Define the behaviors so that they pass the “stranger test” – what, exactly do they look like? Provide clear parameters, as well as non-examples.

Example: “Self-Injurious Hitting” = The student hits himself on the head with an open hand. Each instance is separated by the hand lifting off of the head. Does not include closed-fisted punches to own head, or any kind of hits to others.

Page 14: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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Some Behaviors to Operationalize:

Some Behaviors to Operationalize:

• Matching objects

• Multiplying

• Spelling

• Using appropriate classroom behavior

• Matching objects

• Multiplying

• Spelling

• Using appropriate classroom behavior

Page 15: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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What should I record?What should I record?

• Frequency

• Number

• Duration

• Latency

• Proportion/percent

• Interval

• Quality

• Intensity

* Difficult for these above to be objective, so develop or find standards around them.

Page 16: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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Rubric for Rating the Intensity of Rubric for Rating the Intensity of Disruptive BehaviorDisruptive Behavior

1 Behavior is confined only to the student. It may include such behaviors as refusing to follow directions, scowling, crossing arms, pouting, or muttering under his or her breath.

2 The behavior disrupts others in the student’s immediate area. It may include slamming a book on the floor, name calling, or using inappropriate language.

3 The behavior disrupts everyone in the class. It may include throwing objects, yelling, openly defying teacher’s directions, or leaving the classroom.

4 The behavior disrupts other classrooms or common areas of the school. It may include throwing objects, yelling, openly defying school personnel’s directions or leaving the school campus.

5 The behavior causes or threatens to cause physical injury to the student or others. It may include displaying weapons or assaulting others.

Page 17: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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When do you collect data?When do you collect data?

Whenever you need to assess:• performance on IEP goals• academic mastery• task mastery• behavior

Whenever you need to assess:• performance on IEP goals• academic mastery• task mastery• behavior

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How often do you need to collect data?

How often do you need to collect data?

Often enough to notice trends and make data-driven decisions in the classroom

Often enough to notice trends and make data-driven decisions in the classroom

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Where can you collect data?

Where can you collect data?

Anywhere and EverywhereAnywhere and Everywhere

Page 20: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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Who gathers data?Who gathers data?

• Anyone who works with the student

• The instructional assistant

• The student

• The teacher

Page 21: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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Getting StartedGetting Started

Make your data collection system useful.

Make your data collection system relevant to the behavior being measured.

Make data collection as painless as possible.

Make your data collection system useful.

Make your data collection system relevant to the behavior being measured.

Make data collection as painless as possible.

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Create what works for you!!Create what works for you!!

• Keep it simple.• Keep it in easy access.• Take enough data to give you a

clear picture of the student.• Rework and revise as necessary.• Beg, borrow, make it your own.

• Keep it simple.• Keep it in easy access.• Take enough data to give you a

clear picture of the student.• Rework and revise as necessary.• Beg, borrow, make it your own.

Page 23: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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IEP’s, Data, and Progress4 Steps

IEP’s, Data, and Progress4 Steps

Collect data

Communicate With others

Annual goals and objectives

Evaluate andAnalyze data

Page 24: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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Evaluation of Data: Decision Rules

Evaluation of Data: Decision Rules

Decision rules are used to help guide the teacher as he/she evaluates a student’s data

The data points may indicate that the teacher shouldInquire about changes in external variables Wait Make instructional adjustmentRaise the goal

Decision rules are used to help guide the teacher as he/she evaluates a student’s data

The data points may indicate that the teacher shouldInquire about changes in external variables Wait Make instructional adjustmentRaise the goal

Page 25: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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Making Instructional AdjustmentsMaking Instructional Adjustments

• Classroom climate• Time of day• Motivation

• What is taught• Skill focus• Amount of practice

• How it is taught• Materials• Group size• Prompting and other supports

• Classroom climate• Time of day• Motivation

• What is taught• Skill focus• Amount of practice

• How it is taught• Materials• Group size• Prompting and other supports

Page 26: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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Communicating the DataCommunicating the Data

Appropriate representation should be

SimpleStand aloneUnderstandable

Appropriate representation should be

SimpleStand aloneUnderstandable

Page 27: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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Reviewing the DataReviewing the Data

Talk about:• Trends in the data; what is the

general direction of change?• Progress toward socially significant

difference• Steps toward independence,

inclusion, access to general curriculum, communication

• Modifications that have been made to adjust teaching

Talk about:• Trends in the data; what is the

general direction of change?• Progress toward socially significant

difference• Steps toward independence,

inclusion, access to general curriculum, communication

• Modifications that have been made to adjust teaching

Page 28: 1 Data Collection and Analysis for Students with Autism Meredith Eads, M.Ed. Dr. Judy Marco October 28, 2008 Meredith Eads, M.Ed. Dr. Judy Marco October

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Dear Eddie’s Parents, Look how well Eddie has done on his IEP goal. He has met his target of 18 correct for the last four weeks. Let’s schedule an IEP meeting to talk about where we should go from here. Sincerely,

Eddie’s Teacher

Dear Eddie’s Parents, Look how well Eddie has done on his IEP goal. He has met his target of 18 correct for the last four weeks. Let’s schedule an IEP meeting to talk about where we should go from here. Sincerely,

Eddie’s Teacher

Communication ExampleCommunication Example

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Legal Decisions: Can you stand by your data?

Legal Decisions: Can you stand by your data?

• Absence of adequate progress monitoring has been the focus of several administrative and judicial decisions

• Courts unwilling to accept claims of school districts appropriateness of a student’s program without proof in the form of data.

• Absence of adequate progress monitoring has been the focus of several administrative and judicial decisions

• Courts unwilling to accept claims of school districts appropriateness of a student’s program without proof in the form of data.Etscheidt, Susan K. (2006)

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Legal DecisionsLegal Decisions

• Recent decisions concerning progress monitoring reveal five areas of concern (Etscheidt, S. K. , 2006):

1. IEP team fails to develop or implement progress monitoring plans;

2. Responsibilities for progress monitoring are improperly delegated;

• Recent decisions concerning progress monitoring reveal five areas of concern (Etscheidt, S. K. , 2006):

1. IEP team fails to develop or implement progress monitoring plans;

2. Responsibilities for progress monitoring are improperly delegated;

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3. IEP team does not plan or implement progress monitoring for behavior intervention plans (BIPs);

4. The team uses inappropriate measures to determine student progress toward graduation;

3. IEP team does not plan or implement progress monitoring for behavior intervention plans (BIPs);

4. The team uses inappropriate measures to determine student progress toward graduation;

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5. Progress monitoring is not frequent enough to meet the requirements of IDEIA or to provide meaningful data to IEP teams.

5. Progress monitoring is not frequent enough to meet the requirements of IDEIA or to provide meaningful data to IEP teams.

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ReferencesReferences

Etscheidt, Susan K. (2006). Progress monitoring: Legal issues and recommendations for IEP teams. TEACHING Exceptional Children, 56-60.

Cited within - The IEP Progress Monitoring Processwww.swoserrc.org/uploads/IEPDevelopment-ProgressMonitoringPart3.pps

http://www.polyxo.com/data/