Browsing by Author "Lavradio, Leonor"
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- Rushing to the end : participants’ perceptions of demotivating aspects of online surveysPublication . Martins, João; Lavradio, LeonorAbstract: More and more social science studies are now acquiring data through the internet, reaching participants online. Some participants start out engaged and motivated to participate, but progressively slide into “rushing behaviors”. We inquired experts in survey responding about when, in online studies, they would feel a desire for rushing (defined as speeding with no concerns about the quality of responses). This qualitative approach uncovered Repetition, Survey length and No interest in topic as the three main features that would motivate these participants to rush in surveys. Subsequent inquiry of the same participants indicated that repetition concerns the type of questions made (more than stimuli or task), the execution of the same task more than 5-6 times, or for more than 6 minutes. Survey length concerns a preference for shorter surveys, as well as the subjective experience in which length exceeds previously set expectations (i.e., longer than announced), contributing to rushing by effectively lowering the hourly pay rate as the survey increases in length. Interest in topic was reported to be consistently low, despite not being the main reason to quit the survey. However, a change in expected level of interest in the middle of the survey is reported as a factor that will promote rushing behaviors. We discuss these data as informative regarding how pre-tests of surveys can benefit from these participants’ expertise.
- A standardised set of images for judgements of proportionPublication . Varatojo, Sara; Lavradio, Leonor; Fernandes, Alexandre; Garcia-Marques, TeresaIn the present work, we present normative data for a set of 39 original clipart-style images that can be used as material in studies involving judgements of proportion. The original images are drawings that depict different day-to-day scenarios (e.g., lighted windows in a building; books on a shelf) and each has seven variants of different proportions (from 20% to 80%) belonging to different categories (discrete vs continuous; social vs non-social; natural vs artificial; stimuli physical dimensions; number of referents). Normative data for these images are presented in an interactive database (available at https:// judgment- images- and- norms. shiny apps. io/ estimates_ inter active/), corresponding to the means of proportion estimates (in percentage form), the perceived ease of making such estimates, the perceived level of familiarity and liking for each image, and the relationships between these variables. In the paper, we analyse the data at an individual level, addressing how the latter judgements are related to the proportion estimates, how those estimates are related to objective proportions, and how these relationships are moderated by image category. The analyses presented in this paper aim to aid readers in selecting images that enable them to better address specific influences on proportional estimates or to control for those influences in their studies.