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Module Seven -- Interpretation & Communication of Assessment Results |
Learning Objectives
Given a list of purposes, select those for using the normal curve Given a list of reasons, select the reason that t-scores and z-scores are called standard scores Given the size of the standard error of measurement, interpret that standard error of measurement Given a score (t-score, z-score, cumulative percent, percentile, stanine, normal curve equivalent, or deviation IQ score), convert it to another type of score Given the scale score and the number of students earning that score and the number of students earning less than that score, determine the cumulative frequency at midpoint Given a list of characteristics (range, mean, standard deviation), identify which type of score (t-score, z-score, cumulative percent, percentile, stanine, normal curve equivalent, or deviation IQ score) displays those characteristics Given a score (t-score, z-score, cumulative percent, percentile, stanine, normal curve equivalent, or deviation IQ score), interpret that score (i.e., "This student has achieved ...")
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Overview of Module 7 Notes
Methods of Interpreting Test Scores Types of Test Scores Defined Purpose Interpretation of Cumulative Percentages Cautions in Interpreting Any Test Score Interpreting Scale Scores
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On-line Activity
This is an INDIVIDUAL ASSIGNMENT. Create separate normal curves for the
following: t-score, z-score, cumulative percent rounded, percentile, stanine,
normal curve equivalent, and deviation IQ score. These must be hand drawn
(traced is okay, photocopied is not).
Now it's time to revise your assessment.
If your group has objectives that are best measured with an objective assessment,
you need to create the second version of test items for your test. If your
group has objectives that are best measured with a performance assessment,
you need to create the second version of your rubric.
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Readings
from Linn R.L. & Gronlund, N.E. (1995). Measurement and assessment in teaching. Englewood Cliffs, NJ: Merrill. |
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