This PhD dissertation describes the development, validation and more importantly the implementation of a novel method to create online surveys and experiments. A software program, called OSuCre (Van Acker, & Theuns, submitted), has been developed which encompasses a set of tools that support the technical materialization of online surveys and experiments while minimizing risks for bias and unreliability. The present work provides the theoretical and empirical foundation for the many choices that have been made about the possibilities that are offered in the OSuCre program. This overview of good practices constitutes the contents of chapter one, whereas the actual OSuCre program is described. Developing a novel method inevitably requires validation studies to test its applicability to a variety of research situations. Empirical studies in chapters three to six evaluate the utility of the current method for experimental research, here with applications in Functional Measurement (Anderson, 1981) and (experimental) survey research. FM studies are performed in several contexts and respective results are compared. A test of larger scale FM experimentsis presented. Moreover, survey experiments are presented. Possible uses of self-anchoring scales in Web surveys developed with OSuCre are discussed. Finally,the possibilities of experimental surveys developed with OSuCre are studied, now using its implementation of Heerwegh's Client-Side paradata script (Heerwegh, 2003).
|Place of Publication||Brussels|
|Publication status||Published - 2009|
- Functional Measurement