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Analyzing Data From Multiple Sources

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Norm-Referenced Measures. Criterion-Referenced Measures. Perceptual Information ... Percent of people in norm group below a given score ... – PowerPoint PPT presentation

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Title: Analyzing Data From Multiple Sources


1
Analyzing Data From Multiple Sources
  • Nebraska Leadership Conference for Assessment
    2008
  • Cindy Gray
  • Elkhorn Public Schools

2
Informed Use of Data
  • Multiple Measures/Indicators
  • Thoughtful Professional Discussion
  • Monitoring over Time

3
Why Multiple Measures
  • Measurement Error
  • Data rich and information poor
  • Continuous improvement doesnt mean continuous
    random change.
  • Moving beyond the Cardiac Method???
  • Must teach our teachers to understand and use data

4
Common Types of Measures (NCA)
  • Norm-Referenced Measures
  • Criterion-Referenced Measures
  • Perceptual Information

5
Assessment Analysis Cautions
  • Problem of True Score and True Zero
  • Validity - Are we measuring what we really care
    about?
  • Reliability - Can we be confident that our
    information is consistent?

6
Scores with Limits for Analysis
  • Raw Scores and Percent Correct
  • Percentile Scores
  • Percent of people in norm group below a given
    score
  • Confidence Band adds and - one standard error
  • Grade Equivalent Scores

7
Grade Equivalent Scores
8
Preferred Scores for Analysis
  • Normal Curve Equivalents
  • Quartile Ranks
  • Scaled Scores
  • Standard Scores (e.g., Z Scores)

9
Other Norm Referenced Scores
  • Achievement/Ability Comparison

10
MEASURING GROWTH
  • Normal Curve Equivalent Comparisons (NCE)
  • Scaled Scores
  • Quartile Rank Comparisons
  • of Students at Proficient and Advanced Levels

11
Data Does Not Speak for Itself
  • Start with data from multiple sources
  • Thoughtful professional discussion
  • Additional data mining based upon questions from
    initial analysis

12
Achievement Trend Overview
13
NRT Trend Data
14
Closing the Gap
15
Quartile Rank Comparisons
16
Stacked Reading Inventory
17
Sample Perception Data
18
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21
Walking the Talk of Continuous Improvement
  • Instructional leadership
  • Clearly defined essential outcomes
  • Climate of high expectations for success
  • Close, frequent monitoring of each students
    learning
  • A systematic plan to give students extra time and
    support for learning (opportunity to learn)
  • Teachers working in collaborative teams that
    focus on learning
  • Frequent information to each teacher about how
    well his or her students are achieving essential
    outcomes in comparison to similar students

22
  • Without data, youre just another person with an
    opinion.
  • - Scott Ebbrecht,
  • a principal in Westerville Ohio
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