Data Triangulation in Action: Using Comment Analysis to Refine Web Quality Metrics

نویسندگان

  • Stuart J. Barnes
  • Richard T. Vidgen
چکیده

This paper focuses on the evaluation of quality perceptions from users of an electronic government website. As government organizations have begun to enhance transparency, communicate and interact with citizens via the Web, developing appropriate online services has demanded heightened understanding of the requirements of users and appropriate tailoring of solutions. The site examined in the paper enables the online submission of self-assessed tax returns in the UK. Survey data collected via the eQual instrument were used to statistically model the perceptions of site users. However, in addition to quantitative data, we also collected open comments from respondents, and it is these comments that provide the crux of this paper. Such comments, via data triangulation, provided much more insight into the perceptions of site quality than the statistical data alone. The results of the comment analysis both support the instrument and point to additional factors determining the perceptions of quality of such e-government services requiring attention in the instrument development. The paper rounds off with a conclusions and an agenda for future research in this area.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using the Taxonomy and the Metrics: What to Study When and Why; Comment on “Metrics and Evaluation Tools for Patient Engagement in Healthcare Organization- and System-Level Decision-Making: A Systematic Review”

Dukhanin and colleagues’ taxonomy of metrics for patient engagement at the organizational and system levels has great potential for supporting more careful and useful evaluations of this ever-growing phenomenon. This commentary highlights the central importance to the taxonomy of metrics assessing the extent of meaningful participation in decision-making by patients, consumers and community mem...

متن کامل

Water Quality Restoration Using Landscape Metrics Analysis: A Case Study in the Golestan Province of Iran

Abstract The results of an integrated study aimed at restoring water quality in a large watershed including seven catchments in north east Iran are presented in this paper. This case study demonstrates how landscape metrics reflect direct or surrogate causes of the land use practices that are the determinants of water quality parameters. Water quality factors included EC, pH, Cl-1, HCO3-1, SO4-...

متن کامل

Assessment of Image Surface Approximation accuracy given by triangular Meshes

Image quality assessment plays an important role in several image processing applications, including data approximation by triangular meshes. The determination of adequate metrics is essential for constructing algorithms that generate high quality models. This paper evaluates a number of different image measures used to refine a given triangular mesh until a specified accuracy is obtained, whic...

متن کامل

Patient Engagement and its Evaluation Tools – Current Challenges and Future Directions; Comment on “Metrics and Evaluation Tools for Patient Engagement in Healthcare Organization- and System-Level Decision-Making: A Systematic Review”

Considering the growing recognition of the importance of patient engagement in healthcare decisions, research and delivery systems, it is important to ensure high quality and efficient patient engagement evaluation tools. In this commentary, we will first highlight the definition and importance of patient engagement. Then we discuss the psychometric properties of the patient engagement evaluati...

متن کامل

A density based clustering approach to distinguish between web robot and human requests to a web server

Today world's dependence on the Internet and the emerging of Web 2.0 applications is significantly increasing the requirement of web robots crawling the sites to support services and technologies. Regardless of the advantages of robots, they may occupy the bandwidth and reduce the performance of web servers. Despite a variety of researches, there is no accurate method for classifying huge data ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2005