Related Experiment Video
Updated: Aug 8, 2026
08:40
Isokinetic Robotic Device to Improve Test-Retest and Inter-Rater Reliability for Stretch Reflex Measurements in Stroke Patients with Spasticity
Published on: June 12, 2019
Interrater reliability of scores derived from two methods for scoring the clock drawing test
Jennifer Harned Adams1, Nelson P Gruber, J Ray Hays
1M. D. Anderson Cancer Center, USA.
Psychological Reports
|May 6, 2006
Summary
The Clock Drawing Test reliably screens geriatric patients for cognitive impairment. However, current scoring methods lack the psychometric soundness needed for differential diagnosis between conditions like depression or schizophrenia.
Area of Science:
- Neuropsychology
- Geriatric Psychiatry
Background:
- The Clock Drawing Test (CDT) is a widely used screening tool for neuropsychological dysfunction.
- Various quantitative and qualitative scoring methods exist to assess CDT performance.
Observation:
- This study evaluated 145 clock drawings from a geriatric psychiatry outpatient clinic.
- Briefly trained students utilized both quantitative and qualitative scoring methods.
- Key metrics included interrater reliability, user acceptance, and diagnostic differentiation.
Findings:
- Both quantitative and qualitative scoring systems demonstrated acceptable interrater reliability.
- The quantitative method identified greater impairment in patients with organic mental disease compared to those with depression or schizophrenia.
- The scoring methods were not found to be psychometrically sound for differential diagnosis.
Implications:
- The Clock Drawing Test serves as a reliable initial screening tool for cognitive impairment in older adults within psychiatric settings.
- Further refinement of CDT scoring methods is necessary to achieve reliable differential diagnosis of psychiatric and neurological conditions.
Related Concept Videos
01:09Comparing Experimental Results: Student's t-Test
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
01:23McNemar's Test
McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...