Different definitions, frameworks and dimensions have been proposed in the literature to identify the best pathways for the development of government websites. Using these frameworks, several measurements and rankings to assess digital government success have been developed. Although these models have helped to understand the influence of many critical factors on the successful application of ICT in government, it is necessary to understand the empirical validity of these frameworks and dimensions. Some authors have proposed factor analysis techniques as a useful tool for this task. Using data from a ranking of state government portals in Mexico during the period 2009-2015, we conducted a principal component analysis (PCA) to evaluate the dimensions of the evolutionary model proposed in the ranking. Results ratify most of the original dimensions of the evaluated instrument, but allow reducing the number of questions and obtain more robust estimations. Also, the new reduced instrument is validated using data collected in 2016 and 2017. Based on the analysis, we provide a set of practical recommendations for improving measurement methodologies and the assessment of digital government services in general.

文献中提出了不同的定义、框架和维度，以确定政府网站发展的最佳途径。使用这些框架，已经开发了几种评估数字政府成功的衡量标准和排名。尽管这些模型有助于了解许多关键因素对政府成功应用 ICT 的影响，但有必要了解这些框架和维度的实证有效性。一些作者提出了因子分析技术作为这项任务的有用工具。使用 2009-2015 年期间墨西哥州政府门户网站排名的数据，我们进行了主成分分析 (PCA)，以评估排名中提出的进化模型的维度。结果批准了评估工具的大部分原始维度，但允许减少问题的数量并获得更稳健的估计。此外，新的简化工具使用 2016 年和 2017 年收集的数据进行了验证。基于分析，我们提供了一套实用的建议，用于改进测量方法和对数字政府服务的总体评估。