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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
As a new medium for questionnaire delivery, the Internet has the potential to revolutionize the survey process. Online (Web-based) questionnaires provide several advantages over traditional survey methods in terms of cost, speed, appearance, flexibility, functionality, and usability [Bandilla et al. 2003; Dillman 2000; Kwak & Radler 2002]. Online-questionnaires can provide many capabilities not found in traditional paper-based questionnaires: they can include pop-up instructions and error messages; they can incorporate links; and it is possible to encode difficult skip patterns making such patterns virtually invisible to respondents. Despite this, and the emergence of numerous tools to support online-questionnaire creation, current electronic survey design typically replicates the look-and-feel of pap- based questionnaires, thus failing to harness the full power of the electronic survey medium. A recent environmental scan of online-questionnaire design tools found that little, if any, support is incorporated within these tools to guide questionnaire design according to best-practice [Lumsden & Morgan 2005]. This paper briefly introduces a comprehensive set of guidelines for the design of online-questionnaires. It then focuses on an informal observational study that has been conducted as an initial assessment of the value of the set of guidelines as a practical reference guide during online-questionnaire design. 2 Background Online-questionnaires are often criticized in terms of their vulnerability to the four standard survey error types: namely, coverage, non-response, sampling, and measurement errors.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
As a new medium for questionnaire delivery, the Internet has the potential to revolutionize the survey process. Online (Web-based) questionnaires provide several advantages over traditional survey methods in terms of cost, speed, appearance, flexibility, functionality, and usability [Bandilla et al. 2003; Dillman 2000; Kwak & Radler 2002]. Online-questionnaires can provide many capabilities not found in traditional paper-based questionnaires: they can include pop-up instructions and error messages; they can incorporate links; and it is possible to encode difficult skip patterns making such patterns virtually invisible to respondents. Despite this, and the emergence of numerous tools to support online-questionnaire creation, current electronic survey design typically replicates the look-and-feel of pap- based questionnaires, thus failing to harness the full power of the electronic survey medium. A recent environmental scan of online-questionnaire design tools found that little, if any, support is incorporated within these tools to guide questionnaire design according to best-practice [Lumsden & Morgan 2005]. This paper briefly introduces a comprehensive set of guidelines for the design of online-questionnaires. It then focuses on an informal observational study that has been conducted as an initial assessment of the value of the set of guidelines as a practical reference guide during online-questionnaire design. 2 Background Online-questionnaires are often criticized in terms of their vulnerability to the four standard survey error types: namely, coverage, non-response, sampling, and measurement errors.