ANALYSIS AND ATTRIBUTES OF APPROPRIATE ASSESSMENTS Coastal Carolina University.

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ANALYSIS AND ATTRIBUTES OF APPROPRIATE ASSESSMENTS Coastal Carolina University

Transcript of ANALYSIS AND ATTRIBUTES OF APPROPRIATE ASSESSMENTS Coastal Carolina University.

Page 1: ANALYSIS AND ATTRIBUTES OF APPROPRIATE ASSESSMENTS Coastal Carolina University.

ANALYSIS AND ATTRIBUTES OF APPROPRIATE ASSESSMENTS

Coastal Carolina University

Page 2: ANALYSIS AND ATTRIBUTES OF APPROPRIATE ASSESSMENTS Coastal Carolina University.

Assessments

They must be valid: Does the assessment measure the appropriate content?

Reliable: Does the assessment produce a consistent results for similar students and across similar conditions?

Rigorous: Does the assessment require students to demonstrate the appropriate level of knowledge, skill, or understanding?

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Assessments Continued

Comparable The level of comparability between teachers’

SLOs will depend on the district process for choosing assessments.

The pre-and post-assessments should be comparable for each teacher’s SLO.

Are the pre-and post-assessments the same or same type of assessment? If they are different, are the pre-and post-assessments clearly aligned in terms of their content, form complexity, and scoring?

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Timeliness

Are the data available in time to be used at all relevant points in the SLO cycle?

Example: teacher made test data vs. state mandated tests.

Does the district have an assessment that is valid, reliable, rigorous, comparable, and timely?

Does the district have assessments that are only used for formative purposes at this time?

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Considerations: New Assessments Teacher created tests

need to ensure validity, reliability, rigor, and comparability.

Commercial: Need to ensure alignment with the scope and sequence of the SLO content standards

Problem: District

resources

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Assessments to Consider

Early Education: DIBELS, Fountas and Pinnell, running records, RTI assessments

Middle and High School Content Courses: Course final exams, unit exams, End of Course Tests

Arts and Performance Courses: final projects, performances, portfolios

Career and Technical Courses: final projects, performances, commercial industry-based assessments

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Data Analysis Process

Identify and Gather Baseline Data: Is there a pre-assessment that is

aligned to the post-assessment? Are there clear groups (tiers) of

students? If so what are they? Where is this kind of data accessible

in the district? Discuss or reflect on the “snapshot”

the baseline data provides for a student. Is the data sufficient enough to set growth targets?

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Identify and Gather Trend Data Test scores from prior years Current and past grades Formative assessment data from this year and

previous years, including running records Reading and math conferences Data to inform the student population section,

such as attendance records or 504 plans Results from diagnostic assessments Districts can give guidance on what kind of

data teachers should include in their SLO

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Process Continued

Meaningful Baseline and Trend Data Should:

Describe students in terms of groups or tiers

Describe student performance over time Inform growth targets Inform instructional strategies

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Data Analysis Process

Analyze the data and look for trends: Are there clear groups of students? If so, are

they the same groups represented in the baseline data? Are there some students whose performance has changed or been inconsistent in the last year or two?

How are students performing overall? Are most students consistently demonstrating proficiency?

What kind of growth have students been making? Have students been consistently meeting or missing expectations?

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Resources for Assessment Literacy http://fcit.usf.edu/assessment/basic/basica.html www.nciea.org http://www.edutopia.org/blog/using-student-

data-inform-teaching-rebecca-alber http://www.mdk12.org/process/cfip/

Classroom_Assessment.html http://www.rttt4educators.org/setting-

targets.html http://www.nciea.org/wp-content/uploads/

7_Using-Baseline-Data-and-Information_7.15.13.pdf