Predicting survey responses: how and why semantics shape survey statistics on organizational behaviour.
Some disciplines in the social sciences rely heavily on collecting survey responses to detect empirical relationships among variables. We explored whether these relationships were a priori predictable from the semantic properties of the survey items, using language processing algorithms which are no...
Main Authors: | Jan Ketil Arnulf, Kai Rune Larsen, Øyvind Lund Martinsen, Chih How Bong |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2014-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4153608?pdf=render |
Similar Items
-
Semantic algorithms can detect how media language shapes survey responses in organizational behaviour.
by: Jan Ketil Arnulf, et al.
Published: (2018-01-01) -
Respondent Robotics: Simulating Responses to Likert-Scale Survey Items
by: Jan Ketil Arnulf, et al.
Published: (2018-03-01) -
Editorial: Semantic Algorithms in the Assessment of Attitudes and Personality
by: Jan Ketil Arnulf, et al.
Published: (2021-07-01) -
Culture Blind Leadership Research: How Semantically Determined Survey Data May Fail to Detect Cultural Differences
by: Jan Ketil Arnulf, et al.
Published: (2020-02-01) -
The failing measurement of attitudes: How semantic determinants of individual survey responses come to replace measures of attitude strength
by: Arnulf, J.K, et al.
Published: (2018)