1 Maximizing Predictive Accuracy of District Benchmarks Illuminate Education, Inc. User’s...

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1 Maximizing Predictive Accuracy of District Benchmarks Illuminate Education, Inc. Illuminate Education, Inc. User’s Conference User’s Conference Aliso Viejo, California June 4&5, 2012

description

3 Comparing District Benchmarks to CST Results Common Methods for Setting Cutoffs on District Benchmarks:  Use default settings on assessment platform (e.g. 20%, 40%, 60%, 80%)  Ask curriculum experts for their opinion of where cutoffs should be set  Determine percent correct corresponding to performance levels on CSTs and apply to benchmarks

Transcript of 1 Maximizing Predictive Accuracy of District Benchmarks Illuminate Education, Inc. User’s...

Page 1: 1 Maximizing Predictive Accuracy of District Benchmarks Illuminate Education, Inc. User’s Conference Aliso Viejo, California June 4&5, 2012.

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Maximizing Predictive Accuracy of District Benchmarks

Illuminate Education, Inc.Illuminate Education, Inc.User’s ConferenceUser’s Conference

Aliso Viejo, California

June 4&5, 2012

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Maximizing Predictive Accuracy of District Benchmarks

Objective1.Better understand how

performance level setting is key to predictive validity.

2.Better understand how to create performance level bands based on equipercentile equating

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Comparing District Benchmarks to CST Results

Common Methods for Setting Cutoffs on District Benchmarks:

Use default settings on assessment platform (e.g. 20%, 40%, 60%, 80%) Ask curriculum experts for their opinion of where cutoffs should be set Determine percent correct corresponding to performance levels on CSTs and apply to benchmarks

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Comparing District Benchmarks to CST Results

There is a better way!

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Comparing District Benchmarks to CST Results

“Two scores, one on form X and the other on form Y, may be considered equivalent if their corresponding percentile ranks in any given group are equal.” (Educational Measurement-Second Edition, p. 563)

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Comparing District Benchmarks to CST Results

Equipercentile Method of Equating at the Performance Level Cut-points Establishes cutoffs for benchmarks at

equivalent local percentile ranks as cutoffs for CSTs

By applying same local percentile cutoffs to each trimester benchmark, comparisons across trimesters within a grade level are more defensible

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Equipercentile Equating MethodStep 1-Identify CST SS Cut-points

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Equipercentile Equating Method

Step 2 - Establish Local Percentiles at CSTPerformance Level Cutoffs (from scaled score frequency distribution)

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Equipercentile Equating Method

Step 3 – Locate Benchmark Raw ScoresCorresponding to the CST CutoffPercentiles (from benchmark raw scorefrequency distribution)

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2nd Semester

BiologyOld Cutoff FBB BB Basic Proficient Advanced Total0-17 FBB 57 72 25 1 0 15518-34 BB 118 297 511 60 4 99035-48 Basic 19 51 427 401 45 94349-62 Proficient 1 5 27 141 207 38163-70 Advanced 0 0 0 0 20 20

Total 195 425 990 603 276 2489

Correct Classification: Proficient & Advanced on CST = 42%Correct Classification: Each Level on CST = 38%

2006 CST

Equipercentile Equating MethodStep 4 – Validate Classification Accuracy – Old Cutoffs

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2nd SemesterBiologyOld Cutoff FBB BB Basic Proficient Advanced Total0-17 FBB 57 72 25 1 0 15518-34 BB 118 297 511 60 4 99035-48 Basic 19 51 427 401 45 94349-62 Proficient 1 5 27 141 207 38163-70 Advanced 0 0 0 0 20 20

Total 195 425 990 603 276 2489

Correct Classification: Proficient & Advanced on CST = 42%Correct Classification: Each Level on CST = 38%

2006 CST

Equipercentile Equating MethodStep 4 – Validate Classification Accuracy – Old Cutoffs

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2nd SemesterBiologyOld Cutoff FBB BB Basic Proficient Advanced Total0-17 FBB 57 72 25 1 0 15518-34 BB 118 297 511 60 4 99035-48 Basic 19 51 427 401 45 94349-62 Proficient 1 5 27 141 207 38163-70 Advanced 0 0 0 0 20 20

Total 195 425 990 603 276 2489

Correct Classification: Proficient & Advanced on CST = 42%Correct Classification: Each Level on CST = 38%

2006 CST

Equipercentile Equating MethodStep 4 – Validate Classification Accuracy – Old Cutoffs

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2nd SemesterBiologyNew Cutoff FBB BB Basic Proficient Advanced Total0-19 FBB 89 107 53 4 0 25320-26 BB 59 142 148 12 0 36127-40 Basic 39 161 596 176 9 98141-51 Proficient 8 12 181 354 82 63752-70 Advanced 0 3 12 57 185 257

Total 195 425 990 603 276 2489

Correct Classification: Proficient & Advanced on CST = 77%Correct Classification: Each Level on CST = 55%

2006 CST

Equipercentile Equating MethodStep 4 – Validate Classification Accuracy –

New Cutoffs

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2nd SemesterBiologyNew Cutoff FBB BB Basic Proficient Advanced Total0-19 FBB 89 107 53 4 0 25320-26 BB 59 142 148 12 0 36127-40 Basic 39 161 596 176 9 98141-51 Proficient 8 12 181 354 82 63752-70 Advanced 0 3 12 57 185 257

Total 195 425 990 603 276 2489

Correct Classification: Proficient & Advanced on CST = 77%Correct Classification: Each Level on CST = 55%

2006 CST

Equipercentile Equating MethodStep 4 – Validate Classification Accuracy –

New Cutoffs

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BiologyNew Cutoff FBB BB Basic Proficient Advanced Total0-19 FBB 89 107 53 4 0 25320-26 BB 59 142 148 12 0 36127-40 Basic 39 161 596 176 9 98141-51 Proficient 8 12 181 354 82 63752-70 Advanced 0 3 12 57 185 257

Total 195 425 990 603 276 2489

Correct Classification: Proficient & Advanced on CST = 77%Correct Classification: Each Level on CST = 55%

2006 CST

Equipercentile Equating MethodStep 4 – Validate Classification Accuracy –

New Cutoffs

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Example: Classification AccuracyBiology

Old New

2nd SemesterProficient or Advanced 42% 77%Each Level 38% 55%

1st SemesterProficient or Advanced 30% 77%Each Level 31% 50%

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Example: Classification AccuracyBiology

Old New

1st QuarterProficient or Advanced 53% 71%Each Level 41% 46%

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Example: Classification AccuracyChemistry

Old New2nd Semester: Prof. & Adv. 63% 79%2nd Semester: Each Level 47% 52%1st Semester: Prof. & Adv. 74% 74%1st Semester: Each Level 49% 50%1st Quarter: Prof. & Adv. 83% 76%1st Quarter: Each Level 48% 47%

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Example: Classification AccuracyEarth Science

Old New

2nd Semester: Prof. & Adv. 48% 68%2nd Semester: Each Level 43% 52%1st Semester: Prof. & Adv. 33% 66%1st Semester: Each Level 38% 47%1st Quarter: Prof. & Adv. 42% 56%1st Quarter: Each Level 34% 41%

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Example: Classification AccuracyPhysics

Old New2nd Semester: Prof. & Adv. 57% 87%2nd Semester: Each Level 37% 57%1st Semester: Prof. & Adv. 60% 88%1st Semester: Each Level 42% 50%1st Quarter: Prof. & Adv. 65% 87%1st Quarter: Each Level 47% 45%

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Things to Consider Prior to Establishing the Benchmark Cutoffs

Will there be changes to the benchmarks after CST percentile cutoffs are established? If NO then raw score benchmark cutoffs can be

established by linking CST to same year benchmark administration (i.e. spring 2011 CST matched to 2010-11 benchmark raw scores)

If YES then wait until new benchmark is administered and then establish raw score cutoffs on benchmark

How many cases are available for establishing the CST percentiles? (too few cases could lead to unstable percentile distributions)

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Things to Consider Prior to Establishing the Benchmark Cutoffs (Continued)

How many items comprise the benchmarks to be equated? (as test gets shorter it becomes more difficult to match the percentile cutpoints established on the CST’s)

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SummaryEquipercentile Equating Method

Method generally establishes a closer correspondence between the CST and Benchmarks

Comparisons between benchmark and CST performance can be made more confidently

Comparisons between benchmarks within the school year can be made more confidently

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Coming Soon from Illuminate Education, Inc.!

Reports using the equipercentile methodology are being programmed to:

(1) establish benchmark cutoffs for performance bands

(2) create validation tables showing improved classification accuracy based on the method

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Contact:Tom Barrett, Ph.D.President, Barrett Enterprises, LLC951-905-5367 (office)951-237-9452 (cell)[email protected]

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