المؤلفون: Masaki Gogami, Yuki Matsuda, Yutaka Arakawa, Keiichi Yasumoto

المصدر: IEEE Access, Vol 9, Pp 53205-53218 (2021)

مصطلحات موضوعية: Answering behavior, careless response, online questionnaire, satisficing, smartphone, supervised machine learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/9387296/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/ab378d31377648929a9300d3a3ca1107

المؤلفون: Yutaka Arakawa, Keiichi Yasumoto, Masaki Gogami, Yuki Matsuda

المصدر: IEEE Access, Vol 9, Pp 53205-53218 (2021)

مصطلحات موضوعية: General Computer Science, Computer science, 050109 social psychology, Computer-assisted web interviewing, Machine learning, computer.software_genre, smartphone, 050105 experimental psychology, Data modeling, Likert scale, law.invention, Touchscreen, online questionnaire, law, 0501 psychology and cognitive sciences, General Materials Science, supervised machine learning, Electrical and Electronic Engineering, Answering behavior, satisficing, Reliability (statistics), business.industry, Deep learning, 05 social sciences, General Engineering, Scrolling, Satisficing, careless response, touchscreen, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, computer, lcsh:TK1-9971

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09a7169e27abab534d6b8e6c4e9d940f
https://ieeexplore.ieee.org/document/9387296/

المؤلفون: Niessen, A. Susan M., Meijer, Rob R., Tendeiro, Jorge N.

المصدر: Niessen , A S M , Meijer , R R & Tendeiro , J N 2016 , ' Detecting careless respondents in web-based questionnaires : Which method to use? ' , Journal of Research in Personality , vol. 63 , pp. 1-11 . https://doi.org/10.1016/j.jrp.2016.04.010

مصطلحات موضوعية: Data collection, Careless response, Data screening, Response patterns, Person fit, PERSON-FIT STATISTICS, ITEM RESPONSE THEORY, APPROPRIATENESS MEASUREMENT, PERFORMANCE, CONSISTENCY, PERCEPTION, VALIDITY, PATTERNS, MODELS

وصف الملف: application/pdf

الاتاحة: https://hdl.handle.net/11370/bd0fb86d-d1b6-4eba-a70c-1b4e030b525b
https://research.rug.nl/en/publications/bd0fb86d-d1b6-4eba-a70c-1b4e030b525b
https://doi.org/10.1016/j.jrp.2016.04.010
https://pure.rug.nl/ws/files/65313544/1_s2.0_S0092656616300344_main.pdf

المؤلفون: Blackmore, Caitlin E.

المصدر: Browse all Theses and Dissertations

مصطلحات موضوعية: Department of Psychology, Survey Research, Psychometrics, Careless Response, Random Response, Inconsistent Response, Data Screening, Data Cleaning, Online Surveys, Industrial and Organizational Psychology, Psychology, Social and Behavioral Sciences

وصف الملف: application/pdf

Relation: https://corescholar.libraries.wright.edu/etd_all/1381; https://corescholar.libraries.wright.edu/cgi/viewcontent.cgi?article=2520&context=etd_all

الاتاحة: https://corescholar.libraries.wright.edu/etd_all/1381
https://corescholar.libraries.wright.edu/cgi/viewcontent.cgi?article=2520&context=etd_all

المؤلفون: Biegler, Stefan

مصطلحات موضوعية: negative respondent behaviour, Careless Response Patterns, low-quality, schlechte Datenqualität, Online Umfragen, online surveys, careless response, Negatives Benutzerverhalten

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f2684c02ddff58e73f432af1e5de048b

المؤلفون: Gogami, Masaki, Matsuda, Yuki, Arakawa, Yutaka, Yasumoto, Keiichi

مصطلحات الفهرس: Answering behavior, careless response, online questionnaire, satisficing, smartphone, supervised machine learning, touchscreen, Journal Article

URL: http://hdl.handle.net/10061/14272
https://doi.org/10.1109/ACCESS.2021.3069049
https://ieeexplore.ieee.org/document/9387296
https://doi.org/10.1109/ACCESS.2021.3069049
https://ieeexplore.ieee.org/document/9387296

المؤلفون: Gogami, Masaki, 90809708, Matsuda, Yuki, 30424203, Arakawa, Yutaka, 40273396, Yasumoto, Keiichi

مصطلحات الفهرس: Answering behavior, careless response, online questionnaire, satisficing, smartphone, supervised machine learning, touchscreen, Journal Article

URL: http://hdl.handle.net/10061/14272
https://naist.repo.nii.ac.jp/records/4280
https://doi.org/10.1109/ACCESS.2021.3069049
https://ieeexplore.ieee.org/document/9387296
https://doi.org/10.1109/ACCESS.2021.3069049
https://ieeexplore.ieee.org/document/9387296