Title |
Advanced Neuropsychological Diagnostics Infrastructure (ANDI): A Normative Database Created from Control Datasets
|
---|---|
Published in |
Frontiers in Psychology, October 2016
|
DOI | 10.3389/fpsyg.2016.01601 |
Pubmed ID | |
Authors |
Nathalie R. de Vent, Joost A. Agelink van Rentergem, Ben A. Schmand, Jaap M. J. Murre, ANDI Consortium, Hilde M. Huizenga |
Abstract |
In the Advanced Neuropsychological Diagnostics Infrastructure (ANDI), datasets of several research groups are combined into a single database, containing scores on neuropsychological tests from healthy participants. For most popular neuropsychological tests the quantity, and range of these data surpasses that of traditional normative data, thereby enabling more accurate neuropsychological assessment. Because of the unique structure of the database, it facilitates normative comparison methods that were not feasible before, in particular those in which entire profiles of scores are evaluated. In this article, we describe the steps that were necessary to combine the separate datasets into a single database. These steps involve matching variables from multiple datasets, removing outlying values, determining the influence of demographic variables, and finding appropriate transformations to normality. Also, a brief description of the current contents of the ANDI database is given. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 22% |
Student > Master | 7 | 17% |
Student > Ph. D. Student | 5 | 12% |
Student > Bachelor | 4 | 10% |
Professor | 2 | 5% |
Other | 4 | 10% |
Unknown | 10 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 11 | 27% |
Neuroscience | 10 | 24% |
Medicine and Dentistry | 3 | 7% |
Nursing and Health Professions | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 4 | 10% |
Unknown | 11 | 27% |