A massive dataset of the NeuroCognitive Performance Test, a web-based cognitive assessment
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Paul I. Jaffe , Aaron Kaluszka, Nicole F. Ng & Robert J. Schafer
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.
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.
