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

Collecting the Raw Data

MCSA

Here are the variables we used from the MCSA study, and here is what we matched them up with in the SOA study.

MCSA Variable Name MCSA Variable Label SOA DOI
avltsum5 AVLT sum of List A: I,II,III,IV,V ravl1
avd AVLT half hour delay ravl2
avrecpc AVLT Recognition % Correct ((AVREC + (15-AVERR))/30) *100 ravl3
cfa Category Fluency: Animals animals
cfv Category Fluency: Vegetables vegetables
tmta Trails Making Test A, seconds to complete tmta
tmtb Trails Making Test B, seconds to complete tmtb
wscdr WAIS-R Digit Symbols total score ldst

Notes

  • • MCSA uses the Digit Symbol Substitution Test, while SOA will use the Letter Digit Symbol Substitution Test.
  • • That the way that MCSA presents its ravl3 score may not agree with the way that SOA will.
  • • we need to check the Trails cutoff times.