Abstract
Data gathering in psychological research is changing given the technological evolution and the availability of many different devices. However, very little research has been done to verify the validity of this kind of psychological measurements, even if a valid measure is the starting point for a valid research. Our study presents the results of a daily measurement of affect connected with the amount of time a person spends in a natural setting, considering the paradigm of restorative environments. High level of compliance was found from respondents, and also a good quality of the used measurements, in term of construct validity (using a Confirmatory Factor Analysis), invariance of the measure across days, and criterion related validity.
Original language | English |
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Title of host publication | Methodologies and intelligent systems for technology enhanced learning |
Subtitle of host publication | 6th International Conference |
Editors | Mauro Caporuscio, Fernando De la Prieta, Tania Di Mascio, Rosella Gennari, Javier Gutiérrez Rodríguez, Ricardo Azambuja-Silveira, Pierpaolo Vittorini |
Place of Publication | Switzerland |
Publisher | Springer, Springer Nature |
Pages | 121-129 |
Number of pages | 9 |
ISBN (Electronic) | 9783319401652 |
ISBN (Print) | 9783319401645 |
DOIs | |
Publication status | Published - 2016 |
Externally published | Yes |
Event | International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning (6th : 2016) - Sevilla, Spain Duration: 1 Jun 2016 → 3 Jun 2016 Conference number: 6th |
Publication series
Name | Advances in intelligent systems and computing |
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Publisher | Springer International Publishing AG |
Volume | 478 |
ISSN (Print) | 2194-5357 |
ISSN (Electronic) | 2194-5365 |
Other
Other | International Conference in Methodologies and Intelligent Systems for Technology Enhanced Learning (6th : 2016) |
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Country/Territory | Spain |
City | Sevilla |
Period | 1/06/16 → 3/06/16 |
Keywords
- Innovative online and mobile assessment
- Restorative environments
- Positive affect
- Multi-level confirmatory factor analysis