Case-based modeling of prolific liars and constant truth-tellers: Who are the dishonesty and honesty self-reporters?
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- 作者：Arch G. Woodside<sup>asup><sup> ; sup><sup>arch.woodside@curtin.edu.ausup> ; Manish Sharma<sup>bsup><sup> ; sup><sup>manish.sharma@dce.edusup>
- 关键词：Configurations ; Liars ; Recipes ; SES ; Social ; Survey
- 刊名：Journal of Business Research
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：71
- 期：Complete
- 页码：142-153
- 全文大小：1385 K
- 卷排序：71
文摘
Do some individuals identify themselves to be prolific liars? Here, “big-liars” are individuals who self-report telling lies twelve-or-more times annually. What share of Americans (or any other national population) is big-liars? What share reports telling no lies? Can individual social-economic status (SES) and social factor configurations identify big-liars consistently? The present study includes proposing and testing the case-based theoretical tenet that single-variable SES and social factors do not identify big-liars or self-report truth-tellers consistently even if these single-variables associate significantly statistically with lying/truth-telling in symmetric tests. The theory here proposes that configurations (i.e., screening algorithms or recipes of SES and social factors) are capable of identifying big-liars as well as self-reported persons claiming to never lie. A national omnibus, representative, sample of Americans (n = 3350 provide some surprising answers to the questions and substantial support for the usefulness of case-based configurational models for identifying big-liars. To prevent, “I knew that” perceptions, before reading further (using a pen or pencil), consider answering the following multiple-choice questions. What share (%) of Americans identify themselves to be non-liars: 30, 40, 50, 60, or 70? What share (%) identify themselves to be big (i.e., monthly) liars: 30, 40, 50, 60, or 70?