DATA ANALYSIS
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DATA ANALYSIS GRADE K-5 Elementary Science Liaisons and Coaches iCAD Session 1 (Sept 2014). Millard E. Lightburn, Ph.D. District Science Supervisor Mary Tweedy, Noreyda Casañas , Daniel Gangeri Curriculum Support Specialists.

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Millard E. Lightburn, Ph.D. District Science Supervisor

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DATA ANALYSIS GRADE K-5

Elementary Science Liaisons and Coaches iCAD Session 1 (Sept 2014)

Millard E. Lightburn, Ph.D.

District Science Supervisor

Mary Tweedy, NoreydaCasañas, Daniel Gangeri

Curriculum Support Specialists


What Kind of Information can Data Provide us?

Data can…

provide feedback on the past and

provide a basis to begin planning

for the future

Department of Mathematics and Science


IMPORTANCE OF DATA

  • Facilitate a clear understanding of the gaps between where the school or class is and where it wants to be.

  • Show if school or class goals and objectives are being accomplished.

  • Predict and prevent failures.

  • Predict and ensure successes.

  • Establish foundation for Continuous School Improvement/SIP.

  • Data drives instruction, and professional development.

Department of Mathematics and Science


Effective Use of Classroom Data

Planning

Teaching

UsingResults

Student

Learning

Assessing

Source:

Dr. Yuwadee Wongbundhit


DATA DISAGGREGATION

  • GRADE K-5 BASELINE AND PRETEST ASSESSMENT RESULTS (2014-2015)

Department of Mathematics and Science


Science Pretest Results K-5 (MDCPS 2013-2014)


Elementary Science Pretest Performance by Reporting Category (2013-2014)


DATA DISAGGREGATION (Baseline 2013-14)

Your thoughts…..

  • What reporting category do you think showed the highest performance? Why?

  • What reporting category do you think showed the lowest performance? Why?

  • How do you think the students performed on the Fair Game benchmarks? Do you think they performed better than last year?

Department of Mathematics and Science


Grade 5 Baseline Assessment Results (District 2012-2014)


Comparison of Grade 5 Baseline Results 2012 - 2014


Comparison of Grade 5 Baseline Results 2012 and 2013


Assessments

Department of Mathematics and Science

  • Interim Assessments (IA) for Grade 5 (All benchmarks will be assessed on Gr 5 Baseline, Fall and Winter assessments)

  • Quarterly Science Benchmark Assessments (QSBA) for Grades K- 4 will assess benchmarks covered in each quarter: Quarters 1, 2, 3, 4

  • QSBA for K-4 will be administered at the end of each grading period.

  • QSBA Quarter 1 Admin window: Oct 27 – Nov 14, 2014

    Available: First QSBA available October 22, 2014


Gr. 5 Science Interims Cut Scores

  • Grade 5 Science Interim cut scores are based on statistical regression analysis between students performance on Interim Assessment and scale scores on 2012 FCAT 2.0:

  • Fall IA satisfactory cut score: 51% or higher

  • Winter IA satisfactory cut score: 53% or higher

  • (Cut Scores)

  • Baseline Proficiency Level: 70%

Department of Mathematics and Science


DATA DISAGGREGATION (FCAT 2014 Results)

Your thoughts…..

  • What reporting category do you think showed the highest performance? Why?

  • What reporting category do you think showed the lowest performance? Why?

  • How did our performance compare to the State, Broward and West Palm Beach?

Department of Mathematics and Science


GRADE 5 SCIENCE FCAT RESULTS 2007-2014 DISTRICT LEVEL


Performance by Reporting Categories (Gr 5 Science FCAT) 2012-2014 (Retro)


Performance by achievement levels (Gr 5 Science FCAT 2012-14)


Grade 5 FCAT Science Comparative Results for MDCPS, State, Broward & Palm Beach (2012-2014)




Gr 5 Science FCAT 2.0 Scale Score L1 140 - 184 L2 185 - 199 L3 200 - 214 L4 215 – 224 L5 225 - 260

Source: Florida Department of Education


Data Online Resources

-School Performance Data, FCAT, Baseline and

Interims

http://oada.dadeschools.net

http://curriculum.dadeschools.net

https://thinkgate.net/FLMiamiDade/


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