ArticlePloS one2020
Controlling social desirability bias: An experimental investigation of the extended crosswise model.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Functionality of the Crosswise Model for Assessing Sensitive or Transgressive Behavior: A Systematic Review and Meta-Analysis.Frontiers in psychology · 2021Pooled it
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- Attitudes of Gastroenterologists Regarding Preoperative Anxiety Prior to Colonoscopy: A Cross-Sectional Study.Digestive diseases and sciences · 2025Article
- Knowledge, attitudes, and practices regarding chemotherapy-induced bone marrow suppression in ovarian cancer patients.World journal of surgical oncology · 2025Article
- The structural relationship between achievement goal orientation and perceived performance among swimmers: a chain multiple mediation model.Frontiers in psychology · 2025Article
- What motivates SARS-CoV-2 vaccine trial participants? A pre- and post-participation survey study.Trials · 2024Observational
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- The analysis of randomized response "ever" and "last year" questions: A non-saturated Multinomial model.Behavior research methods · 2024Article
- Falsification of home rapid antigen lateral flow tests during the COVID-19 pandemic.Scientific reports · 2024Article
- Implementation pilot study of community self-testing for COVID-19 among employees of manufacturing industries and their household members in 2022 to 2023.PLOS global public health · 2024Article
- Adolescent peer support for mental health problems: evaluation of the validity and reliability of the Mental Health Support Scale for Adolescents.BMC psychology · 2023Article
- More than random responding: Empirical evidence for the validity of the (Extended) Crosswise Model.Behavior research methods · 2023Article
- Recreational Athletes' Use of Performance-Enhancing Substances: Results from the First European Randomized Response Technique Survey.Sports medicine - open · 2023Article
- Disparities in Deceased Donor Kidney Offer Acceptance: A Survey of Canadian Transplant Nephrologists, General Surgeons and Urologists.Canadian journal of kidney health and disease · 2023Article
- Functional Outcomes in Head and Neck Cancer Patients.Cancers · 2022Article
- Refinement of the extended crosswise model with a number sequence randomizer: Evidence from three different studies in the UK.PloS one · 2022Article
- The Effect of Surface Acting on Job Stress and Cognitive Weariness Among Healthcare Workers During the COVID-19 Pandemic: Exploring the Role of Sense of Community.Frontiers in psychology · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Indirect questioning techniques such as the crosswise model aim to control for socially desirable responding in surveys on sensitive personal attributes. Recently, the extended crosswise model has been proposed as an improvement over the original crosswise model. It offers all of the advantages of the original crosswise model while also enabling the detection of systematic response biases. We applied the extended crosswise model to a new sensitive attribute, campus islamophobia, and present the first experimental investigation including an extended crosswise model, and a direct questioning control condition, respectively. In a paper-pencil questionnaire, we surveyed 1,361 German university students using either a direct question or the extended crosswise model. We found that the extended crosswise model provided a good model fit, indicating no systematic response bias and allowing for a pooling of the data of both groups of the extended crosswise model. Moreover, the extended crosswise model yielded significantly higher estimates of campus Islamophobia than a direct question. This result could either indicate that the extended crosswise model was successful in controlling for social desirability, or that response biases such as false positives or careless responding have inflated the estimate, which cannot be decided on the basis of the available data. Our findings highlight the importance of detecting response biases in surveys implementing indirect questioning techniques.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.