Evidence map›Paper›PMID 39719650›Full record

ArticleBMC psychology2024

The development and validation of a tablet-based assessment battery of general cognitive ability.

Dong-Ni Pan, Hailun Xie, Yanjia Zeng, Yixiang Zhou, Cuizhu Lin, Xin Ma, Juejing Ren, Yuanyun Jiao, Yingying Wu, Wei Wei and 1 more

Abstract readValidation Study
In one paragraph

Article in BMC psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Dong-Ni PanSchool of Psychology, Beijing Language and Culture University, Beijing, 100083, China.
Hailun XieBeijing Infinite Brain Technology Co., Ltd, Beijing, 100022, PR China.
Yanjia ZengSchool of Psychology, Beijing Language and Culture University, Beijing, 100083, China.
Yixiang ZhouSchool of Psychology, Beijing Language and Culture University, Beijing, 100083, China.
Cuizhu LinSchool of Psychology, Beijing Language and Culture University, Beijing, 100083, China.
Xin MaSchool of Psychology, Beijing Language and Culture University, Beijing, 100083, China.
Juejing RenBeijing Infinite Brain Technology Co., Ltd, Beijing, 100022, PR China.
Yuanyun JiaoBeijing Infinite Brain Technology Co., Ltd, Beijing, 100022, PR China.
Yingying WuBeijing Infinite Brain Technology Co., Ltd, Beijing, 100022, PR China.
Wei WeiAffiliated Mental Health Center & Hangzhou Seventh People's Hospital, School of Medicine, Zhejiang University, Hangzhou, 310058, PR China.
Gui XueBeijing Infinite Brain Technology Co., Ltd, Beijing, 100022, PR China. gxue@bnu.edu.cn.

Funding

by Science Foundation of Beijing Language and Culture University (supported by "the Fundamental Research Funds for the Central Universities") YYBB29
6 · The paper itself

Abstract

backgroundTraditional cognitive assessments, often reliant on paper-and-pencil tests and professional evaluators, suffer from subjectivity and limited result discrimination. This study introduces the Baguan Online Cognitive Assessment System (BOCAS), a tablet-based system that evaluates both general cognitive ability (GCA) and domain-specific functions across six domains: sensory-motor skills, processing speed, sustained attention, working memory, cognitive flexibility, and spatial ability.

methodsBOCAS was validated with 151 healthy Chinese adults aged 18-40. Reliability was assessed through internal consistency and test-retest reliability. Factor analysis and confirmatory factor analysis (CFA) were used to validate the model. The GCA score was correlated with the Raven IQ test and self-reported cognitive flexibility, and its relationship with negative emotions (depression and anxiety) was examined.

resultsBOCAS showed satisfactory reliability, with internal consistency ranging from 0.712 to 0.846 and test-retest reliability from 0.56 to 0.71. Factor analysis revealed a common factor explaining 40% of the variance, and CFA indicated a good model fit (χ²/df = 1.81; CFI = 0.932). The GCA score strongly correlated with the Raven IQ test (r = 0.58) and was related to self-reported cognitive flexibility and negative emotions.

conclusionBOCAS offers a digital solution for cognitive assessment, providing automated, remote, and precise evaluations. It demonstrates reliability, validity, and potential for use in clinical and research settings.

Indexed as

CognitionComputers, HandheldNeuropsychological TestsAdolescentAdultAttentionFactor Analysis, StatisticalFemaleHumansMaleMemory, Short-TermPsychometricsReproducibility of ResultsYoung AdultAutomated electronic testChinese digital cognitive testCognitive domainGeneral cognitive assessmentNeuropsychological tests

Identifiers

PMID39719650
PMCPMC11669203

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.