Related Experiment Video
Updated: Sep 6, 2025

A Tactile Automated Passive-Finger Stimulator TAPS
Published on: June 3, 2009
Further validation of the THINC-it tool and extension of the normative data set in a study of n = 10.019 typical
Maria Dalby1,2, Peter Annas1, 3
1H. Lundbeck A/S, Valby, Denmark.
Introduction:
We report further validation and normative data for the THINC-Integrated Tool (THINC-it), a measure of cognitive function designed for use with individuals living with Major Depressive Disorder, but which is finding use in further psychiatric and neurological diseases. THINC-it comprises four objective computerised cognitive tests based on traditional psychological paradigms and a version of the Perceived Deficits Questionnaire assessment.
Methods:
Sample size of n = 10.019 typical control study participants were tested on one to two occasions to further validate the reliability of THINC-it. Temporal reliability was assessed across 120-180 days.
Results:
Test-retest reliability correlations varied between r = 0.50 and 0.72 for the component measures and r = 0.75 (95% confidence intervals 0.74, 0.76) for the THINC-it composite score. Normative data categorised by Age, Sex and Years of Education were calculated and the effect on task performance was reported.
Discussion:
Our analysis confirms previously reported levels of reliability and validates previously reported normative data values.
More Related Videos
16:23Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction
Published on: February 26, 2014
08:24Conventional and Threshold-Tracking Transcranial Magnetic Stimulation Tests for Single-handed Operation
Published on: August 16, 2021
Related Concept Videos
Data Validation
Key parameters for method validation include:
Reliability and Validity
Statistical Software for Data Analysis and Clinical Trials
Central Limit Theorem
The sample size, n, that...
Testing a Claim about Standard Deviation
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
Confidence Intervals
A...