A massive dataset of the NeuroCognitive Performance Test, a web-based cognitive assessment

Abstract We present a dataset of approximately 5.5 million subtest scores from over 750,000 adults who completed the NeuroCognitive Performance Test (NCPT; Lumos Labs, Inc.), a validated, self-administered cognitive test accessed via web browser. The dataset includes assessment scores from eight tes...

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Main Authors: Paul I. Jaffe, Aaron Kaluszka, Nicole F. Ng, Robert J. Schafer
Format: Article
Language:English
Published: Nature Portfolio 2022-12-01
Series:Scientific Data
Online Access:https://doi.org/10.1038/s41597-022-01872-8
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author Paul I. Jaffe
Aaron Kaluszka
Nicole F. Ng
Robert J. Schafer
author_facet Paul I. Jaffe
Aaron Kaluszka
Nicole F. Ng
Robert J. Schafer
author_sort Paul I. Jaffe
collection DOAJ
description Abstract We present a dataset of approximately 5.5 million subtest scores from over 750,000 adults who completed the NeuroCognitive Performance Test (NCPT; Lumos Labs, Inc.), a validated, self-administered cognitive test accessed via web browser. The dataset includes assessment scores from eight test batteries consisting of 5–11 subtests that collectively span several cognitive domains including working memory, visual attention, and abstract reasoning. In addition to the raw scores and normative data from each subtest, the dataset includes basic demographic information from each participant (age, gender, and educational background). The scale and diversity of the dataset provides an unprecedented opportunity for researchers to investigate population-level variability in cognitive abilities and their relation to demographic factors. To facilitate reuse of this dataset by other researchers, we provide a Python module that supports several common preprocessing steps.
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spelling doaj.art-018a61418722436c9fd8309bbc28b1d32022-12-22T04:19:23ZengNature PortfolioScientific Data2052-44632022-12-019111110.1038/s41597-022-01872-8A massive dataset of the NeuroCognitive Performance Test, a web-based cognitive assessmentPaul I. Jaffe0Aaron Kaluszka1Nicole F. Ng2Robert J. Schafer3Lumos Labs, Inc.Lumos Labs, Inc.Lumos Labs, Inc.Lumos Labs, Inc.Abstract We present a dataset of approximately 5.5 million subtest scores from over 750,000 adults who completed the NeuroCognitive Performance Test (NCPT; Lumos Labs, Inc.), a validated, self-administered cognitive test accessed via web browser. The dataset includes assessment scores from eight test batteries consisting of 5–11 subtests that collectively span several cognitive domains including working memory, visual attention, and abstract reasoning. In addition to the raw scores and normative data from each subtest, the dataset includes basic demographic information from each participant (age, gender, and educational background). The scale and diversity of the dataset provides an unprecedented opportunity for researchers to investigate population-level variability in cognitive abilities and their relation to demographic factors. To facilitate reuse of this dataset by other researchers, we provide a Python module that supports several common preprocessing steps.https://doi.org/10.1038/s41597-022-01872-8
spellingShingle Paul I. Jaffe
Aaron Kaluszka
Nicole F. Ng
Robert J. Schafer
A massive dataset of the NeuroCognitive Performance Test, a web-based cognitive assessment
Scientific Data
title A massive dataset of the NeuroCognitive Performance Test, a web-based cognitive assessment
title_full A massive dataset of the NeuroCognitive Performance Test, a web-based cognitive assessment
title_fullStr A massive dataset of the NeuroCognitive Performance Test, a web-based cognitive assessment
title_full_unstemmed A massive dataset of the NeuroCognitive Performance Test, a web-based cognitive assessment
title_short A massive dataset of the NeuroCognitive Performance Test, a web-based cognitive assessment
title_sort massive dataset of the neurocognitive performance test a web based cognitive assessment
url https://doi.org/10.1038/s41597-022-01872-8
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