Development of a standardized scoring method for the Graphic Sequence Test suitable for use in psychiatric populations

Cogn Behav Neurol. 2008 Mar;21(1):18-27. doi: 10.1097/WNN.0b013e318165b120.

Abstract

Although the graphic version of the Alternating Sequences Test which was introduced by Luria exists for years little has been done to standardize it. The aim of the current study was to develop a novel and detailed standardized method of administration and scoring. The study sample included 93 normal control subjects (53 women and 40 men) aged 35.87+/-12.62 and 127 patients suffering from schizophrenia (54 women and 73 men) aged 34.07+/-9.83. The psychometric assessment included the Positive and Negative Symptoms Scale the Young Mania Rating Scale, and the Montgomery-Asberg Depression Rating Scale. A scoring method was developed and was based on the frequencies of responses of healthy controls. Cronbach alpha and test-retest and interrater reliability were very good. Two indices and 6 subscales of the Standardized Graphic Sequence Test were eventually developed. The Standardized Graphic Sequence Test seems to be a reliable, valid, and sensitive to change instrument based on Luria's graphic sequence test. The great advantage of this instrument is the fact that it is paper and pencil, easily administered and little time consuming. Further research is necessary to test its usefulness as a neuropsychologic test.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Attention* / physiology
  • Cognition Disorders / diagnosis*
  • Cognition Disorders / physiopathology
  • Cognition Disorders / psychology
  • Female
  • Frontal Lobe / physiopathology
  • Humans
  • Male
  • Middle Aged
  • Neuropsychological Tests / statistics & numerical data*
  • Observer Variation
  • Psychiatric Status Rating Scales
  • Psychometrics / standards*
  • Psychomotor Performance* / physiology
  • Reference Values
  • Reproducibility of Results
  • Schizophrenia / diagnosis*
  • Schizophrenia / physiopathology
  • Schizophrenic Psychology*
  • Serial Learning* / physiology