Case-based modeling of prolific liars and constant truth-tellers: Who are the dishonesty and honesty self-reporters?
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 stat...
| Main Authors: | , |
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| Format: | Journal Article |
| Published: |
Elsevier
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/50950 |
| _version_ | 1848758575658172416 |
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| author | Woodside, Arch Sharma, M. |
| author_facet | Woodside, Arch Sharma, M. |
| author_sort | Woodside, Arch |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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? |
| first_indexed | 2025-11-14T09:46:10Z |
| format | Journal Article |
| id | curtin-20.500.11937-50950 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:46:10Z |
| publishDate | 2017 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-509502017-09-13T15:41:22Z Case-based modeling of prolific liars and constant truth-tellers: Who are the dishonesty and honesty self-reporters? Woodside, Arch Sharma, M. 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? 2017 Journal Article http://hdl.handle.net/20.500.11937/50950 10.1016/j.jbusres.2016.10.003 Elsevier restricted |
| spellingShingle | Woodside, Arch Sharma, M. Case-based modeling of prolific liars and constant truth-tellers: Who are the dishonesty and honesty self-reporters? |
| title | Case-based modeling of prolific liars and constant truth-tellers: Who are the dishonesty and honesty self-reporters? |
| title_full | Case-based modeling of prolific liars and constant truth-tellers: Who are the dishonesty and honesty self-reporters? |
| title_fullStr | Case-based modeling of prolific liars and constant truth-tellers: Who are the dishonesty and honesty self-reporters? |
| title_full_unstemmed | Case-based modeling of prolific liars and constant truth-tellers: Who are the dishonesty and honesty self-reporters? |
| title_short | Case-based modeling of prolific liars and constant truth-tellers: Who are the dishonesty and honesty self-reporters? |
| title_sort | case-based modeling of prolific liars and constant truth-tellers: who are the dishonesty and honesty self-reporters? |
| url | http://hdl.handle.net/20.500.11937/50950 |