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Record W2027470058 · doi:10.1037/a0021119

Using deception ethically: Practical research guidelines for researchers and reviewers.

2010· article· en· W2027470058 on OpenAlexaffabout
Antonio Pascual‐Leone, Terence Singh, Alan Scoboria

Bibliographic record

VenueCanadian Psychology/Psychologie canadienne · 2010
Typearticle
Languageen
FieldPsychology
TopicDeception detection and forensic psychology
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsDeceptionPsychologyResearch ethicsEngineering ethicsApplied psychologySocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

This article reviews highlights in the literature on existing recommendations for ethical use of deception in psychological research. We conclude that ethical guidelines and aspirational statements set out by research policies and advisory panels on ethics must eventually be operationalized into concrete terms when introducing deception into a research design. Specific directives for using deception are especially important for new researchers developing projects and also for university/departmental reviewers who are being asked to evaluate the ethical standing of proposed research. We offer a checklist designed to cultivate the understanding of junior researchers and to facilitate the review process by instantiating the relevant general guidelines into a set of Y/N questions about intended research. Finally, the article presents empirical data from researchers and ethics reviewers who provided end-user evaluations of the tool. Keywords: ethics, deception, teaching, instruments, review Current ethical guidelines regarding the use of deception in psychological research are outlined in the recent revision of the Tri-Council Policy Statement (TCPS; Interagency Advisory Panel on Research Ethics, 2009) used in Canada, as well as in ethics codes of both the Canadian and American Psychological Associations. These documents, however, do not adequately operationalize deception or differentiate among forms of deception in a way that is as accessible as it could be for concrete implementation and discussion, something that is particularly important for a range of stake holders from student researchers to the members of research ethics review boards. Given that current ethical guidelines fail to provide a mechanism to ensure that, for example, a junior researcher's professional judgement is well informed, this ambiguity is a hindrance to researchers attempting to conduct studies involving deception. Similarly, multidisciplinary reviewers (particularly at the university and departmental level) tasked with evaluating the ethical suitability of a study are left without specific criteria by which to assess the acceptable use of deception. The result is that criteria for acceptable practise sometimes are a moving target: as membership of a review board changes, so too can the interpretation of general guidelines and ethical codes for using deception. Perhaps unsurprisingly, a considerable amount of inconsistency exists among both researchers and review boards regarding what constitutes the ethical use of deception in psychological research. A study by Ceci, Peters, and Plotkin (1985), for example, documented considerable inconsistency even between two review boards located in the same community. Pittenger (2002) has proposed several recommendations aimed at combating the current systemic limitations regarding the use of deception in psychological research. These include: (a) die establishment of an official mechanism allowing psychologists to exchange information regarding the treatment of ethically sensitive aspects of deception and impairments that require ethical attention immediately; (b) the development of a comprehensive definition of deception, including the differentiation of specific types of deception according to their associated risks; (c) transformation of the current informed consent process, with an aim to increase the protection of participants' right to autonomy in permitting the use of deception in a study of human behaviour; and (d) a widespread requirement for researchers to include details of ethically sensitive practises in their published work. These details should include: a recounting of the ethical rationale for researchers' procedures, the methods used to decrease harm, debriefing procedures, and a record of participants' reactions during debriefing on deceptive practises. Taken together, these recommendations are intended to enhance the systematic education of psychological researchers through the provision of objective information which is subject to evaluation by the community. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.404
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.788
GPT teacher head0.645
Teacher spread0.143 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations24
Published2010
Admission routes2
Has abstractyes

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