An Online Data Validation Algorithm for Electronic Nose

Author(s):  
Mina Mirshahi ◽  
Vahid Partovi Nia ◽  
Luc Adjengue
Author(s):  
Giovanni Organtini ◽  
Alessandro Di Biagio ◽  
Massimiliano Maggiori
Keyword(s):  

2014 ◽  
Vol 29 (2) ◽  
pp. 550-560 ◽  
Author(s):  
Yonghe Guo ◽  
Chee-Wooi Ten ◽  
Panida Jirutitijaroen

2020 ◽  
Vol 158 (6) ◽  
pp. S-1249
Author(s):  
Yuri Hanada ◽  
Juan Reyes Genere ◽  
Bryan Linn ◽  
Tiffany Mangels-Dick ◽  
Kenneth K. Wang

2020 ◽  
Vol 41 (1) ◽  
pp. 30-36
Author(s):  
Steven V. Rouse

Abstract. Previous research has supported the use of Amazon’s Mechanical Turk (MTurk) for online data collection in individual differences research. Although MTurk Masters have reached an elite status because of strong approval ratings on previous tasks (and therefore gain higher payment for their work) no research has empirically examined whether researchers actually obtain higher quality data when they require that their MTurk Workers have Master status. In two different online survey studies (one using a personality test and one using a cognitive abilities test), the psychometric reliability of MTurk data was compared between a sample that required a Master qualification type and a sample that placed no status-level qualification requirement. In both studies, the Master samples failed to outperform the standard samples.


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