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Post-Test Data Analysis Workshop

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Post-Test Data Analysis Workshop. Agenda. Analyze 2014 TerraNova Results Comparative Data Analysis: TerraNova & Explore Test Results Using CTB Online Reporting Generate & Analyze Subgroups Deep Dive: Measurable Learning Objectives. Data Rich…….Information Poor. - PowerPoint PPT Presentation

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Page 1: Post-Test Data  Analysis Workshop

Post-Test Data Analysis Workshop

Page 2: Post-Test Data  Analysis Workshop

Agenda

I. Analyze 2014 TerraNova ResultsII. Comparative Data Analysis: TerraNova &

Explore Test ResultsIII. Using CTB Online ReportingIV. Generate & Analyze SubgroupsV. Deep Dive: Measurable Learning

Objectives

Page 3: Post-Test Data  Analysis Workshop

Data Rich…….Information PoorMany schools invest a great of time in creating elaborate analyses of the end-of-year assessment. Such reports are often exhaustively detailed, breaking down student results by every conceivable demographic or academic attribute. Yet despite the huge amount of data it generates, analysis of these test is of little use to the students who took them. Indeed, it may show what went wrong, but it comes too late to make a difference. Rather than pouring time into figuring out what students failed to learn at year’s end, it is much more effective to focus on interim assessments and avoid failures altogether.- Paul Bambrick-Santoyo, Driven by data (2010)

Page 4: Post-Test Data  Analysis Workshop

I. Analyze 2014 TerraNova Results

Page 5: Post-Test Data  Analysis Workshop

TerraNova Template

Page 6: Post-Test Data  Analysis Workshop

Data Points: NP of the Mean NCE vs Mean NCE National Percentile

(NP) Normal Curve

Equivalent (Mean NCE)

Page 7: Post-Test Data  Analysis Workshop

Mean Anticipated NCE Quartiles

Page 8: Post-Test Data  Analysis Workshop

Analyze 2014 TerraNova Results Which areas are above the expected levels of

performance? Which areas are below the expected levels of performance? What is the achievement gap between student

performance in reading and mathematics, and the mean NCE of 76 (90th percentile)?

Is the percent of students above the national mean greater than or equal to 66%?

What is the percent of students that are in Quartile 1? Which of the above reported findings are consistent with

findings from previous TerraNova results?

Page 9: Post-Test Data  Analysis Workshop

II. Comparative Analysis: TerraNova & Explore

Results

Page 10: Post-Test Data  Analysis Workshop

Understand Explore Results

Use the Profile Summary Report

Page 11: Post-Test Data  Analysis Workshop

Explore Test Frequencies & National Averages

Table 1a Columns:

- Explore score range- Freq- CP*- Local & Nat’l

Page 12: Post-Test Data  Analysis Workshop

Explore Test Quartiles & Score Ranges

Score Ranges vary by test

Q1 = 1-24% Q2 = 25-49% Q3= 50-74% Q4= 75-

100%

Page 13: Post-Test Data  Analysis Workshop

Three Analysis Types1. Status Analysis: percent

performing at or above grade-level

2. Impact Analysis: impact teacher has on different groups of students

3. Growth Analysis: academic growth with cohort of students

Page 14: Post-Test Data  Analysis Workshop

Status Analysis1. Use the 2012, 2013, and 2014 TerraNova results2. What is the percent performing at or above

grade-level for the last three years?3. Is the level of performance on the TerraNova

consistent?4. Use the 2012, 2013, and 2014 Explore results5. What is the percent performing at or above

grade-level for the last three years?6. Is the level of performance on the Explore

consistent?

Page 15: Post-Test Data  Analysis Workshop

Impact AnalysisUse the 2012, 2013, and 2014 TerraNova resultsReading: Is the Mean NCE within ±7 points for all

years tested?Reading: Are the Quartile distributions

consistent for all years tested?

Page 16: Post-Test Data  Analysis Workshop

Math: Is the Mean NCE within ±7 points for all years tested?

Math: Are the Quartile distributions consistent for all years tested?

Which subject areas indicate the overall highest performance?

Which subject areas indicate the overall lowest performance?

Impact Analysis

Page 17: Post-Test Data  Analysis Workshop

Growth Analysis Use the 2012, 2013, and 2014 TerraNova results Compare Mean NCE scores for a cohort of students.

For example, grade 3 students in 2012 are in grade 4 in 2013, and in grade 5 in 2014

Analyze reading: Is there significant growth (+7 Mean NCE), significant regression (-7 Mean NCE), or even performance (±6 Mean NCE)?

Analyze math: Is there significant growth (+7 Mean NCE), significant regression (-7 Mean NCE), or even performance (±6 Mean NCE)?

Analyze the other subject tests

Page 18: Post-Test Data  Analysis Workshop

Growth Analysis Describe the areas that show a positive trend in

performance. Describe the areas that show a negative trend in

performance. Which areas indicate the overall highest performance? Which areas indicate the overall lowest performance?

Page 19: Post-Test Data  Analysis Workshop

Growth Analysis: Student Performance on Different Psychometric Summative Assessments

Cohort Quartile performance on TerraNova to quartile performance on Explore

Diagnostic Questions:1. Top performing subject test: What is the top

performing subject test and what is the quartile distribution on the TerraNova in grade 7? Is student performance consistent on the Explore test? Is there a growth? Is there regression?

Page 20: Post-Test Data  Analysis Workshop
Page 21: Post-Test Data  Analysis Workshop

Student Performance on Different Psychometric Summative Assessments Cohort Quartile performance on TerraNova to quartile

performance on ExploreDiagnostic Questions:2. Least performing subject test: What is the least

performing subject test and what is the quartile distribution on the TerraNova in grade 7? Is student performance consistent on the Explore test? Is there a growth? Is there regression?

Page 22: Post-Test Data  Analysis Workshop
Page 23: Post-Test Data  Analysis Workshop

III. CTB Online Reporting

Page 24: Post-Test Data  Analysis Workshop

Log into CTB Online Reporting

Page 25: Post-Test Data  Analysis Workshop

Guide to CTB Online Reporting- Spring 20141.Summary Report: Combination2.Summary Report: Objectives3.Roster Report4.Item Summary5.Cohort Comparison Report

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IV. Generate & Analyze Subgroups

Page 27: Post-Test Data  Analysis Workshop

Are there Achievement Gaps in Sub-Groups?

School’s demographics shape the subgroups

Types of sub-groups: ethnicity, gender, Title 1, English Language Learners, transfer-in, other

Identify at least one sub-group but no more than three

Page 28: Post-Test Data  Analysis Workshop

V. Deep Dive: Measurable Learning

Objectives

Page 29: Post-Test Data  Analysis Workshop

Deep Dive: Measurable Learning ObjectivesCTB Online Reporting1.Summary Report:

Objectives2.Item SummaryObjectives and Subskills

(OCS Resource Portal- Academic Excellence- Assessment)

Page 30: Post-Test Data  Analysis Workshop

Your Questions

Page 31: Post-Test Data  Analysis Workshop

“I Choose C”

https://www.youtube.com/watch?v=dY2mRM4i6tY

Page 32: Post-Test Data  Analysis Workshop

I Appreciate Our Time Together!