Fairness Methodology

Grading Teachers and Principals Fairly          Meaningful and Actionable Results
Excel Results Comparing Actual California Standards Test Results with Multiple Regression Projections
for 20 High Schools
CST Scores versus projections

The output of the Fair Assessment Methodology is a list of schools graded A, B, C, D, F

2 A’s, 4 B’s, 6 C’s, 5 D’s, 3 F’s

The A schools out-performed their projected test scores by 15% or more based on the percentage of students who scored Proficient or Advanced on the 2008 CST (California Standards Tests).

The multiple regression projections were based on demographics including

% African-American,

% Latino,

% White (not Latino),

% English Learners,

% Economically Disadvantaged

% Moving in and out during the year

Did not include Census or Crime data

Amazingly, for sociological data, the

R-square was .95

Collecting data and the analysis of 20 high schools (no magnets) took 9 days.

      

 

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Purpose
Do it Right

Tools
vs
Objectives

Actionable Results
Multiple Regression vs. Value-Added
Superior Methodology Overview
Methodology Details
Benefits
Weaknesses, Strengths
Problems, Opportunities
24 Days Implementation Steps
Acknow-ledgements ASP

Copyright (c), 2009 by Clifford W. Lazar