Chapter Multipoint vs slider: a protocol for experiments
Since the broad diffusion of Computer-Assisted survey tools (i.e. web surveys), a lively debate about innovative scales of measure arose among social scientists and practitioners. Implications are relevant for applied Statistics and evaluation research since while traditional scales collect ordinal...
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| Format: | Online |
| Idioma: | anglès |
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Firenze University Press
2022
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| Accés en línia: | ONIX_20220601_9788855183048_521 |
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| _version_ | 1869522480719200256 |
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| author | Tomaselli, Venera Cantone, Giulio Giacomo |
| author_browse | Cantone, Giulio Giacomo Tomaselli, Venera |
| author_facet | Tomaselli, Venera Cantone, Giulio Giacomo |
| author_sort | Tomaselli, Venera |
| collection | Directory of Open Access Books |
| description | Since the broad diffusion of Computer-Assisted survey tools (i.e. web surveys), a lively debate about innovative scales of measure arose among social scientists and practitioners. Implications are relevant for applied Statistics and evaluation research since while traditional scales collect ordinal observations, data from sliders can be interpreted as continuous. Literature, however, report excessive times of completion of the task from sliders in web surveys. This experimental protocol is aimed at testing hypotheses on the accuracy in prediction and dispersion of estimates from anonymous participants who are recruited online and randomly assigned into tasks in recognition of shades of colour. The treatment variable is two scales: a traditional multipoint 0-10 multipoint vs a slider 0-100. Shades have a unique parametrisation (true value) and participants have to guess the true value through the scale. These tasks are designed to recreate situations of uncertainty among participants while minimizing the subjective component of a perceptual assessment and maximizing information about scale-driven differences and biases. We propose to test statistical differences in the treatment variable: (i) mean absolute error from the true value (ii), time of completion of the task. To correct biases due to the variance in the number of completed tasks among participants, data about participants can be collected through both pre-tasks acceptance of web cookies and post-tasks explicit questions. |
| format | Online |
| id | doab-20.500.12854ir-82872 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | Firenze University Press |
| publisherStr | Firenze University Press |
| record_format | ojs |
| spelling | doab-20.500.12854ir-828722022-06-02T04:19:41Z Chapter Multipoint vs slider: a protocol for experiments Tomaselli, Venera Cantone, Giulio Giacomo slider scales colour recognition web-survey design Since the broad diffusion of Computer-Assisted survey tools (i.e. web surveys), a lively debate about innovative scales of measure arose among social scientists and practitioners. Implications are relevant for applied Statistics and evaluation research since while traditional scales collect ordinal observations, data from sliders can be interpreted as continuous. Literature, however, report excessive times of completion of the task from sliders in web surveys. This experimental protocol is aimed at testing hypotheses on the accuracy in prediction and dispersion of estimates from anonymous participants who are recruited online and randomly assigned into tasks in recognition of shades of colour. The treatment variable is two scales: a traditional multipoint 0-10 multipoint vs a slider 0-100. Shades have a unique parametrisation (true value) and participants have to guess the true value through the scale. These tasks are designed to recreate situations of uncertainty among participants while minimizing the subjective component of a perceptual assessment and maximizing information about scale-driven differences and biases. We propose to test statistical differences in the treatment variable: (i) mean absolute error from the true value (ii), time of completion of the task. To correct biases due to the variance in the number of completed tasks among participants, data about participants can be collected through both pre-tasks acceptance of web cookies and post-tasks explicit questions. 2022-06-02T04:19:40Z 2022-06-02T04:19:40Z 2022-06-01T12:19:47Z 2021 chapter ONIX_20220601_9788855183048_521 2704-5846 https://library.oapen.org/handle/20.500.12657/56336 9788855183048 https://directory.doabooks.org/handle/20.500.12854/82872 eng Proceedings e report open access image/jpeg Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/56336/1/16988.pdf Firenze University Press 10.36253/978-88-5518-304-8.19 10.36253/978-88-5518-304-8.19 2ec4474d-93b1-4cfa-b313-9c6019b51b1a 9788855183048 6 Florence open access |
| spellingShingle | slider scales colour recognition web-survey design Tomaselli, Venera Cantone, Giulio Giacomo Chapter Multipoint vs slider: a protocol for experiments |
| title | Chapter Multipoint vs slider: a protocol for experiments |
| title_full | Chapter Multipoint vs slider: a protocol for experiments |
| title_fullStr | Chapter Multipoint vs slider: a protocol for experiments |
| title_full_unstemmed | Chapter Multipoint vs slider: a protocol for experiments |
| title_short | Chapter Multipoint vs slider: a protocol for experiments |
| title_sort | chapter multipoint vs slider a protocol for experiments |
| topic | slider scales colour recognition web-survey design |
| topic_facet | slider scales colour recognition web-survey design |
| url | ONIX_20220601_9788855183048_521 |
| work_keys_str_mv | AT tomasellivenera chaptermultipointvsslideraprotocolforexperiments AT cantonegiuliogiacomo chaptermultipointvsslideraprotocolforexperiments |