How Interviewees Determine What Interviewers Want to Know
References
- Bürkner, P. C. (2017). Advanced Bayesian Multilevel Modeling with the R Package brms. The R Journal, 10(1), 395–411.
https://arxiv.org/abs/1705.11123v2 - Fisher, R. P., & Geiselman, R. P. (1992). Memory enhancing techniques for investigative interviewing. Charles C. Thomas.
- Granhag, P. A., & Hartwig, M. (2015).
The strategic use of evidence technique: A conceptual overview . In A. Vrij & B. Verschuere (Eds.), Deception detection: Current challenges and new directions (pp. 231–251). John Wiley & Sons, Ltd. 10.1002/9781118510001.ch10 - Grice, H. P. (1975).
Logic and conversation . In Speech Acts (pp. 41–58). Brill. 10.1163/9789004368811_003 - Grice, H. P. (1989). Studies in the way of words. Harvard University Press.
- Hartwig, M., Meissner, C. A., & Semel, M. D. (2014).
Human intelligence interviewing and interrogation: Assessing the challenges of developing an ethical, evidence-based approach . In R. Bull (Ed.), Investigative interviewing (pp. 209–228). Springer New York. 10.1007/978-1-4614-9642-7_11 - Hoffman, M. D., & Gelman, A. (2014). The no-U-turn sampler: Adaptively setting path lengths in Hamiltonian Monte Carlo. Journal of Machine Learning Research, 15, 1593–1623.
- Koriat, A., & Goldsmith, M. (1996). Monitoring and control processes in the strategic regulation of memory accuracy. Psychological Review, 103(3), 490–517.
https://doi.org.ezproxy.ub.gu.se/10.1037/0033-295X.103.3.490 - Kruschke, J. (2014). Doing Bayesian Data Analysis: A tutorial with R, JAGS, and Stan. Academic Press. 10.1016/B978-0-12-405888-0.00008-8
- Kruschke, J. K., & Liddell, T. M. (2018). The Bayesian New Statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a Bayesian perspective. Psychonomic Bulletin & Review, 25(1), 178–206. 10.3758/s13423-016-1221-4
- Lemoine, N. P. (2019). Moving beyond noninformative priors: Why and how to choose weakly informative priors in Bayesian analyses. Oikos, 128(7), 912–928. 10.1111/oik.05985
- McElreath, R. (2016). Statistical rethinking: A Bayesian Course with examples in R and Stan. Chapman and Hall/CRC. 10.1201/9781315372495
- McHoul, A. W. (1987). Why there are no guarantees for interrogators. Journal of Pragmatics, 11(4), 455–471. 10.1016/0378-2166(87)90089-0
- Neequaye, D. A. (2023). Why rapport seems challenging to define and what to do about the challenge. Collabra: Psychology, 9(1), 90789. 10.1525/collabra.90789
- Neequaye, D. A., & Lorson, A. (2023). How intelligence interviewees mentally identify relevant information. Royal Society Open Science, 10(8), 230986. 10.1098/rsos.230986
- Oleszkiewicz, S. (2016). Eliciting human intelligence a conceptualization and empirical testing of the Scharff-technique [Doctoral thesis, Department of Psychology, University of Gothenburg].
http://hdl.handle.net/2077/41567 - Sorensen, T., Hohenstein, S., & Vasishth, S. (2016). Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists. The Quantitative Methods for Psychology, 12(3), 175–200. 10.20982/tqmp.12.3.p175
- Sperber, D., & Wilson, D. (1987). Précis of relevance: Communication and cognition. Behavioral and Brain Sciences, 10(4), 697–710. 10.1017/S0140525X00055345
- Sperber, D., & Wilson, D. (1995). Relevance: Communication and cognition (2nd ed). Blackwell Publishers.
- Stan Development Team. (2017). Stan [Computer software].
https://doi.org/mc-stan.org/ - Szumowska, E., Wójcik, N., Szwed, P., & Kruglanski, A. W. (2022). Says who? Credibility effects in self-verification strivings. Psychological Science, 33(5), 699–715. 10.1177/09567976211049439
- The R Foundation. (n.d.). R: The R Project for Statistical Computing [Computer software].
https://www.r-project.org/ - Vasishth, S., Mertzen, D., Jäger, L. A., & Gelman, A. (2018). The statistical significance filter leads to overoptimistic expectations of replicability. Journal of Memory and Language, 103, 151–175. 10.1016/j.jml.2018.07.004
- Warren, D. E., & Schweitzer, M. E. (2018). When lying does not pay: How experts detect insurance fraud. Journal of Business Ethics, 150(3), 711–726. 10.1007/s10551-016-3124-8
DOI: https://doi.org/10.5334/irsp.1284 | Journal eISSN: 2397-8570
Language: English
Page range: 10 - 10
Submitted on: May 20, 2026
Accepted on: May 21, 2026
Published on: Jun 4, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
© 2026 David A. Neequaye, Alexandra Lorson, Holly K. Barnett, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.