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

ARIC

We collected data from ARIC Visits 5 and 6.

Here are the variables we used from the ARIC study, along with the DOI's that we matched them up with in the SOA study.

ARIC Variable Name ARIC Variable Label SOA DOI
ncs2b Digit Symbol Substitution Score ldst
ncs4b Incidental Learning Symbols Score il_letters
ncs4c Incidental learning Digit-Symbol Pairs Score il_ldp
ncs5b Word Fluency F Total Score vff
ncs6b Animals Naming Score animals
ncs8b Digit Span Backwards Score nsb
ncs9e TMT A Score tmta
ncs10e TMT B Score tmtb

Notes

  • • ARIC uses the Digit Symbol Substitution Test, while SOA will use the Letter Digit Symbol Substitution Test.
  • • The Incidental Learning tests given by ARIC may not be the same as the ones given by SOA.
  • • ARIC "cuts off" the Trails B Test at 240 seconds, whil SOA will cut off their Trails B Test at 300 seconds.