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Reviewing current inclusive visualisation design practises within the field of psychology and investigating the efficiency of APA 7th edition compliant visualisations.

Vos, Daniël (2023) Reviewing current inclusive visualisation design practises within the field of psychology and investigating the efficiency of APA 7th edition compliant visualisations. Research Master thesis, Research Master.

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D.A.C. Vos - Master Thesis - Inclusive data visualisation design within social sciences.pdf

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Abstract

The recent release of the APA 7th edition includes a section about colour-use in scientific publications to make data visualisations inclusive for readers with a visual deficiency. The purpose of this study is twofold: (1) assess the state of the implementation of the new colour-use guidelines in a small sample of APA journals in 2020 – 2021, and (2) determine how the new colour-use guidelines affect non-visual deficient readers. The assessment of the data visualisations in the APA journals follows a systematic review approach, with a grading instrument based on the APA colour-use guidelines and their considered best-practice. The effectiveness of the inclusive data visualisation for non-visually deficient readers follows a survey-based experimental design in which participants received either an APA compliant or non-compliant data visualisation and are scored on their answer accuracy and self-perceived mental load. The results from the systematic review indicate that the implementation can be improved in both colour-use and application of redundant coding practices, and the results from the survey-based experimental design show no difference in efficiency between an APA compliant and non-compliant data visualisation. Which indicates that current data visualisation practices can be improved and there is no barrier for implementing more inclusive data visualisation practices.

Item Type: Thesis (Research Master)
Supervisor name: Paap, M.C.S. and Albers, C.J.
Degree programme: Research Master
Differentiation route: Psychometrics and Statistics [Research Master]
Date Deposited: 02 Jun 2023 13:03
Last Modified: 02 Jun 2023 13:03
URI: http://gmwpublic.studenttheses.ub.rug.nl/id/eprint/1986

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