Report Outline

1. Introduction

2. Data - details on the decision rules used in the raw data preparation and student record validation.

   a. Longitudinal Data - why we need long data student history. Includes student N size tables

   • Alternate report formulations
     • Grade-level only STATE
     • EOCT STATE

3. Analytics - introduce some of the basic statistical methods and the computational process implemented in the annual analyses.

   a. Data Preparation

   b. Data Analysis

   • Update STATE meta-data in SGPstateData
   • Create SGP configurations (basic elements and norm group preferencing)
   • Conduct SGP analyses (what SGP package functions were used)

4. Goodness of Fit - how well the statistical models used to produce SGPs fit students' data.

   a. Uncorrected Cohort referenced fit

   b. Baseline referenced fit

   c. SIMEX/Ranked SIMEX fit

   d. Growth and Prior Achievement at the Student Level (correlations between SGP and prior scores)

5. SGP Results - basic descriptive statistics at both the state and school levels.

   a. Statewide results

   • Uncorrected Cohort results
   • Baseline referenced results
   • SIMEX/Ranked SIMEX results
   • Features
     • Various levels of disaggregated summary tables (e.g. by subject, subject and grade, ...)

   b. Group level results

   i. Schools

   ii. Instructors (if instructor links are available)

   • Features
     • Bubble Plots (school level)
     • Disaggregated summary tables (by subject and grade)
   • Alternate report formulations
     • Grade-level only STATE
     • End-of-Course Testing STATE

6. SGP Targets/Projections - basic description of SGP projections and statistics regarding SGP targets for the STATE.