Data mining based quality analysis on informants involved applied research
| Autor: | Qingyuan Zhou, Jianjian Luo, Jinlou Xie |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Quantitative psychological research
Computer Networks and Communications Computer science media_common.quotation_subject Control (management) 02 engineering and technology computer.software_genre 020204 information systems Data quality 0202 electrical engineering electronic engineering information engineering Survey data collection 020201 artificial intelligence & image processing Applied research Quality (business) Data mining Set (psychology) computer Software Reliability (statistics) media_common |
| Zdroj: | Cluster Computing. 19:1885-1893 |
| ISSN: | 1573-7543 1386-7857 |
| DOI: | 10.1007/s10586-016-0657-7 |
| Popis: | Attitudinal questions are widely applied in the statistical questionnaire surveys, but the reliability of answers, affected by the psychological tendency of informants, is in doubt for the existence of systematic psychological errors. In this case, control and experimental groups were built up in the work for the sake of investigation and analysis. As a result, it was found that the selection tendencies of systematic psychological errors were derived from the settings of questionnaire answers, and there were always some rules to be followed. On this account, the researchers of statistical surveys are required to abide by the psychological tendency laws of informants and set up statistical questionnaires scientifically and rationally. In this way, the overall quality of survey data can be enhanced. |
| Databáze: | OpenAIRE |
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