@inproceedings{4b7711f8281d4b4d88b2cec5734178f4,
title = "Tablet-Based Design Fluency Test: Taiwan Normative Data and Reliability and Validity Study",
abstract = "The Design Fluency Test (DFT) is an assessment of an individual{\textquoteright}s figural fluency or non-verbal fluency ability, which is one of the measures of executive function. However, there is a lack of normative data for Taiwan. This study aimed to address this gap by examining the psychometric properties of the DFT and exploring its relations to demographic variables of 8–29-year-olds in Taiwan. To improve the disadvantages of manual scoring, a Tablet-Based Design Fluency Test (TB-DFT) was developed and tested on 1,099 normal participants. The TB-DFT is divided into three conditions: black dot (fluency), white dot (fluency + inhibition), and black and white dot switching (fluency + switching). The scoring indicators include the number of correct designs, the number of repeated designs, and the number of wrong designs. The results show that the test-retest reliability coefficient is.39 ~.48, and validity was demonstrated with significant or no significant correlations for criterion-related validity and discriminant validity of the TB-DFT, respectively. The study also established a normative reference for ages 8 to 29, revealing the influence of age on design fluency performance. This provides an effective test for future research and education fields and is expected to deepen the exploration of design fluency and executive function.",
keywords = "Design Fluency, Electronic Version, Norm, Reliability, Validity",
author = "Chen, {Pei Zhen} and Wu, {Ching Lin} and Chang, {Li Yun} and Chen, {Hsueh Chih}",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Proceedings of the 6th International Conference on Innovative Technologies and Learning, ICITL 2023 ; Conference date: 28-08-2023 Through 30-08-2023",
year = "2023",
doi = "10.1007/978-3-031-40113-8_50",
language = "English",
isbn = "9783031401121",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "513--522",
editor = "Yueh-Min Huang and T{\^a}nia Rocha",
booktitle = "Innovative Technologies and Learning - 6th International Conference, ICITL 2023, Proceedings",
}