以设计为导向的可用性感知评估(DEEP)"网站可用性感知量表的法文改编和心理测量特性

Pub Date : 2024-09-01 DOI:10.1016/j.psfr.2023.10.003
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引用次数: 0

摘要

导言随着网站的使用无处不在,而且往往不可避免,因此有必要使网站具有尽可能好的可用性,以满足用户的需求。以设计为导向的感知可用性评估(DEEP)问卷包括 19 个项目,根据六项基因型标准来评估感知可用性:内容、结构和信息架构、导航、认知努力、布局一致性和视觉引导。完成 DEEP 后,设计者就能找出网站中造成问题的主要因素。本研究的目的是对 DEEP 的法文版进行跨文化改编,并对其心理测量质量进行评估。调查内容包括 DEEP 法文译本(F-DEEP)和净促进者得分问卷。对 F-DEEP 和 NPS 进行了主成分分析 (PCA)(含顺反旋转)、内部一致性分析、若干确认性因子分析 (CFA),以及收敛有效性研究。内部一致性非常令人满意,Cronbach's alpha 系数为 0.944,McDonalds omega 为 0.945。拟合指数最令人满意的 CFA 符合一阶模型,包括 F-DEEP 的 6 个因子。F-DEEP 各因子与 NPS 之间计算出的所有相关系数均为正值,且非常显著。结论 F-DEEP 具有非常好的心理测量质量,这意味着它可以被人机交互人体工学心理学领域的研究人员和专业人士用来评估面向法语受众的网站。该问卷也可用于评估移动应用程序的可用性。
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Adaptation française et propriétés psychométriques de l’échelle d’utilisabilité perçue des sites web « Design-oriented evaluation of perceived usability (DEEP) »

Introduction

With the ubiquitous and often unavoidable use of websites, it is necessary that they present the best possible usability to satisfy users. The Design-Oriented Evaluation of Perceived Usability (DEEP) questionnaire, comprising 19 items, assesses perceived usability on the basis of six genotypic criteria: content, structure and information architecture, navigation, cognitive effort, layout consistency, and visual guidance. After completing the DEEP, designers are then able to identify the main factors of the website that cause problems.

Objective

The aim of this study was to propose a cross-cultural adaptation of the DEEP in French and to evaluate its psychometric qualities.

Method

Four hundred and seventy users completed an online survey to give their opinion on the Onisep.fr website. The survey included the French translation of the DEEP (F-DEEP) and the Net Promoter Score questionnaire. A principal component analysis (PCA) with oblimin rotation, an internal consistency analysis, several confirmatory factor analyses (CFA) and a convergent validity study between the F-DEEP and the NPS were conducted.

Results

The PCA suggests a 6-factor structure, which partly corresponds to the 6 factors of the original questionnaire. The internal consistency is very satisfactory, with a Cronbach's alpha coefficient of 0.944 and a McDonalds omega of 0.945. The CFA with the most satisfactory fit indices corresponds to the first-order model including the 6 factors of the F-DEEP. All the correlations calculated between the F-DEEP factors and the NPS are positive and highly significant.

Conclusion

The F-DEEP has very good psychometric qualities, which means that it can be used by researchers and professionals in the field of ergonomic psychology of human-computer interaction to evaluate websites for French-speaking audiences. This questionnaire can also be applied to the evaluation of the usability of mobile applications.

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