SOA Norms Report

  1. Introduction
  2. Collecting the Raw Data
    1. ARIC
    2. GMBI
    3. NACC
    4. MCSA
  3. Summarizing the Raw Data
    1. Demographics
    2. Instruments
  4. Generating the Normative Samples
    1. ARIC
    2. GMBI
    3. NACC
    4. MCSA
    5. Pooled
  5. Summarizing the Normative Data
    1. Demographics
    2. Instruments
    3. Groups by Instruments in the Pooled Sample
  6. Generating Instrument Level Models
    1. Notes on the Trail Making Tests
    2. A Note on the LDST
  7. Generating Domain Level Models
  8. Generating Algorithmic Classifications

Generating Algorirthmic Classifications

The Algorirthmic Classification Procesure makes use of the Executive, Language, and Memory (ELM) domains from the Pooled sample only. Note that the Visuospatial domain is not used in the Algorirthmic Classification Procesure.

Scoring

  • Two or more domain level failures among the ELM domains corresponds to a classification of Dementia.
  • One domain level failure among the ELM domains corresponds to a classification of MCI.
  • Zero domain level failures among the ELM domains corresponds to a classification of Normal.