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Enregistrement W2954641956 · doi:10.1002/cl2.68

PROTOCOL: Interview and Interrogation Methods and their Effects on Investigative Outcomes

2010· article· en· W2954641956 sur OpenAlexaboutno aff
Christian A. Meissner, Allison D. Redlich, Sujeeta Bhatt, Susan Brandon

Notice bibliographique

RevueCampbell Systematic Reviews · 2010
Typearticle
Langueen
DomainePsychology
ThématiqueDeception detection and forensic psychology
Établissements canadiensnon disponible
Organismes subventionnairesAmerican Psychological Association
Mots-clésInterrogationProtocol (science)PsychologyMedicineAlternative medicinePolitical sciencePathology

Résumé

récupéré en direct d'OpenAlex

The request for a systematic review of the research on interviewing and interrogation methods is extremely timely and germane to current social events. Specifically, bright lights have been shone on both military and police investigation methods. The effectiveness of military interviewing, or human intelligence (HUMINT), has come under intense scrutiny because of the situations in Iraq and Afghanistan, and the heated debate over the use and efficacy of torture for educing intelligence (see Evans, Meissner, Brandon, Russano, & Kleinman, in press; Redlich, 2007). Just recently, information was released about the “enhanced interrogation” tactics used by the CIA with prisoners of war. At the same time, in the criminal justice arena, police interview and interrogation methods are being called into question because of the increased identification of false confessions and wrongful convictions. False confessions are an international problem that has been documented in almost every continent (see Kassin, Drizin, Grisso, Gudjonsson, Leo, & Redlich, 2010). In response, several countries, including the United Kingdom, Norway, New Zealand, and Australia, have changed interrogation practices from those that are guilt-presumptive to information-gathering in nature. The United States, Canada, and many Asian nations continue to utilize a guilt presumptive, accusatorial framework (Costanzo & Redlich, 2009; Leo, 2008; Ma, 2007; Smith, Stinson, & Patry, in press). The purpose of this systematic review is to evaluate information-gathering and interrogative (guilt-presumptive or accusatory) methods for persons suspected of committing crimes.1 One potential measure of effectiveness is diagnosticity. Interviewing methods can be considered “diagnostic” when they produce a higher ratio of true to false confessions and/or ability to detect accurate from inaccurate information. When assessing the effectiveness of questioning techniques on investigative outcomes, it is important to consider the accuracy of the outcome as well as the outcome itself. It is equally important to assess efficacy when suspects are both guilty and innocent (when known), as these two contexts may produce different levels of effectiveness. The information-gathering method of interviewing is typified by Great Britain's model. In 1984, because of a spate of high-profile false confessions, Great Britain enacted the Police and Criminal Evidence (PACE) Act of 1984 (Bull & Soukara, 2010; Home Office, 2003), which prohibited the use of psychologically manipulative techniques and mandated the recording of custodial interrogations. In 1993, the Royal Commission on Criminal Justice further reformed British interrogation methods by introducing the PEACE2 model. More specifically, the PEACE model focuses on developing rapport, explaining the allegation and the seriousness of the offense, emphasizing the importance of honesty and truth-gathering, and requesting the suspect's version of events. Suspects are permitted to explain the situation without interruption and questioners are encouraged to actively listen. This interview method has the goal of “fact finding” rather than that of obtaining a confession (with an emphasis on the use of open-ended questions), and investigators are expressly prohibited from deceiving suspects (Milne & Bull, 1999; Mortimer & Shepherd, 1999; Schollum, 2005). In part, the PEACE model is based on components of the Cognitive Interview (CI; Fisher & Geiselman, 1992). The CI was derived from basic memory research and involves a series of strategies and techniques. One of the principal techniques is context reinstatement (attempts to reinstate emotions, perceptions, and sequences of the event to-be-remembered). Another technique is to vary the order in which events are recounted. Often, the research that has been conducted on interviewing styles concentrates on the individual techniques/strategies and the theories underlying them. For example, Vrij, Mann, Fisher, Leal, Milne, and Bull (2008) recently tested whether recalling an event in reverse order (which, in theory, should be more difficult for liars than truth-tellers) influenced others' abilities to accurately detect deception. Although the effectiveness of the CI has been researched extensively, the majority of the research (but importantly, not all) and subsequent reviews of the research (e.g., Kohnken, Milnes, Memon, & Bull, 1999) have focused on witnesses and victims' reports of events, not suspects. The accusatorial method (as defined here) is typified by the U.S. model (Leo, 2008). It is generally contradictory to the information-gathering style in that it is confrontational and guilt-presumptive. In the U.S., police questioning of suspects consist of two phases. The first phase is the Interview phase (such as the “Behavioral Analysis Interview”, or BAI, see Inbau, Reid, Buckley & Jayne, 2001), in which the investigator is trained to conduct a non-accusatorial interview to determine whether the person of interest is indeed “the suspect” and should therefore be formally interrogated. A major part of this determination of guilt is a reliance on non-verbal behavioral cues and analyses of linguistic styles that are believed to indicate deception, but which consistently have been found by scientific methods to be unreliable (see Bond & DePaulo, 2006 for a review). Thus, by definition, U.S. interrogations are guilt-presumptive processes – they are focused upon extracting a confession by suspects who are believed to be guilty of the crime (Inbau et al., 2001; Meissner & Kassin, 2002, 2004). This second phase – the formal interrogation – consists of a variety of psychologically oriented, compliance gaining tactics. As summarized by Kassin and Gudjonsson (2004), interrogations involve: (a) custody and isolation, in which the suspect is detained in a small room and left to experience the anxiety, insecurity, and uncertainty associated with police interrogation; (b) confrontation, in which the suspect is presumed guilty and told (sometimes falsely) about the evidence against him/her, is warned of the consequences associated with his/her guilt, and is prevented from denying his/her involvement in the crime; and finally (c) minimization, in which a now sympathetic interrogator attempts to gain the suspect's trust, offers the suspect face-saving excuses or justifications for the crime, and implies more lenient consequences should the suspect provide a confession. One important and particularly controversial difference between information-gathering and accusatorial methods is the permissible use of trickery and deceit (i.e., lying to suspects about evidence). The scientific study of investigative interviewing has proliferated in the past two decades or so. Both the PACE and PEACE models and some of their individual components (e.g., strategic disclosure of evidence, use of open-ended questions) have been studied in the field and in the laboratory (Bull & Soukara, 2009; Meissner, Russano, & Narchet, 2010; see also Clarke & Milne, 2001 for an evaluation). Similarly, numerous experiments have been conducted on general (e.g., minimization and maximization; Russano, Meissner, Narchet, & Kassin, 2005) and more specific accusatorial methods (e.g., presenting false evidence; Redlich & Goodman, 2003). However, to our knowledge, a synthesized review such as the one proposed here has not been undertaken. That is, a review focusing on the effectiveness of information-gathering and accusatorial methods of questioning suspects has yet to be done, but one that will surely be instructive to academics and policymakers alike. In the U.S., police and military interrogation and intelligence gathering methods, which are accusatorial and guilt-presumptive in nature, are under fire. Some 20 years ago, Great Britain underwent similar controversies and in response, made sweeping policy changes that arguably preceded the scientific research. Via this systematic review of the experimental literature and its subsequent results, we are in a unique position to inform public policy before it may be altered. As detailed below, our main methodology of review will be meta-analysis and study space analysis, which are appropriate when aiming to translate research into policy recommendations. The objective of this review is to systematically and comprehensively review published and non-published, experimental and quasi-experimental studies on the effectiveness of interviewing and interrogation methods. We plan to focus on suspects as our population, interview style (information-gathering, accusatorial, control) as the intervention, and the diagnosticity of the methods as the primary measure of efficacy. Our guiding question is whether information-gathering or accusatorial methods are more diagnostic in the accuracy of the information that is produced when employed on guilty and innocent suspects. When relevant and available, completeness and consistency of information will also be examined as indicators of effectiveness. Finally, important knowledge has been gained from field, quasi-experimental studies. Thus, although accuracy of outcomes (e.g., confessions) cannot be discerned, we conduct a separate systematic review of field studies. With interrogation and intelligence gathering methods under intense scrutiny, jurisdictions, states, and countries may have to revisit their questioning procedures and policies, if they have not done so already. As mentioned above, numerous nations in the recent past have changed their interrogation practices. Armed with a review such as the one proposed here, policy makers and law enforcement decision-makers will have the best information available. Interview methods that increase the amount of true information gained from actual perpetrators while at the same time do not increase false information from innocent individuals are important to identify via a systematic, comprehensive, and scientific approach. We will conduct two separate meta-analyses and a study space analysis. As we describe more fully below, a study space analysis is one that highlights the topics—and intersection of topics—that have and have not yet been (but need to be) studied. The primary products of this systematic review will be two meta-analyses (MA) and subsequent forest plots that graph the magnitude and direction of calculated effect sizes. The first MA (i.e., MA 1) will only include experimental studies in which the “ground truth” (i.e., whether the person is innocent or guilty) is known. The second MA (i.e., MA 2) will include quasi-experimental, field studies in which the ground truth is unknown. A study that may be eligible for MA 1 and the SSA would be one conducted by Vrij and colleagues (2007; see below for more details). A study that would not be eligible would be one by Colwell, Hiscock-Anisman, Memon, Rachel, and Colwell (2007) because it focuses on witnesses rather than suspects. In searching the below references and databases, we will determine relevance by reading titles and abstracts. For example, titles that clearly refer to victim/witness accounts will not be included. When more information is needed, we will access and review full reports. Graduate students will be responsible for determinations of initial relevance, with Professors Meissner and Redlich making final decisions. We will search for published and unpublished, experimental and quasi-experimental studies on information-gathering-accusatory interviewing. Although we will not set an a priori limit on the publication dates of searched studies, we anticipate that the majority of studies that would be potentially eligible (pass the first round of review) will have been published from 1980 to the present. We will use the following keywords to initiate the search. We expect more keywords to be generated as the search progresses. In addition, we will combine keywords to produce more targeted searches, such as “interview and suspect,” and “confession and interrogation.” Finally, the reviewers have many well-established contacts with researchers studying interviewing and interrogation here in the U.S. and abroad. In Appendix A, we have started a list of possible researchers to contact. We will reach out to known and unknown contacts for unpublished or ‘in press’ studies to possibly include. We have obtained the programs of the 2nd and 3rd (June 2008) International Conferences on Investigative Interviewing. Included in these programs are more than 100 presentations that we can follow up on to determine if the studies have been written up. First, we describe an experimental laboratory study that may be eligible for inclusion in MA 1. Then, we describe an example of a quasi-experimental field study that may be appropriate for MA 2. The typical experimental research paradigm on the interviewing of suspects involves first, a mock crime, and second, an interview session. Participants are usually randomly assigned to be guilty or innocent of the crime (or to tell the truth or lie), and then randomly assigned to one of two or more interview styles (or specific interview techniques). Experiments are usually recorded and outcomes are reliably coded. We use a recent study by Vrij and colleagues (2007) to illustrate. The title of the study was, Cues to deception and ability to detect lies as a function of police interview styles, and published in a leading journal, Law and Human Behavior. In Experiment 1, 120 college students participated; half of them participated in a staged event (playing the game Connect 4 with a confederate) in which money was taken from the wallet of another confederate. This was the “truth tellers” condition. In the other condition, the “liars” did not partake in this staged event, but instead were given scripted information about the event. The “liars” also were instructed to take the money out of the wallet, hide it on themselves, and pretend to have participated in the staged event. Next, both liars and truth tellers were told they would be interviewed and to convince the interviewer that they did not take the money. There were three interview conditions; 60 truth tellers and 60 liars were randomly assigned across them. In the “information-gathering” condition, participants were instructed to tell everything they could about the Connect 4 game, providing as much detail as possible, and follow-up questions were open-ended (as opposed to leading). In the “accusation” condition, participants were asked 11 questions with an accusatory tone, such as “Are you sure you're telling me the truth?” and “Your reactions make me think you're hiding something from me.” In the “behavior analysis interview” condition, participants were asked for free recall and then asked 15 BAI questions, such as “Do you think that someone else did purposefully take the money?” The interviews were then coded and scored using Criterion Based Content Analysis (CBCA) and Reality Monitoring (RM). These scores were used as the dependent measures. In brief, they found that accusatory interviews resulted in no discernible differences between truth tellers and liars when either CBCA or RM scores were examined, whereas the other two interviewing styles did (though not across the board). In Experiment 2, Vrij et al. (2007) showed the videotaped stimuli (the three interview conditions) to 68 British police officers. The officers were told that they would see clips of interviews of students who were lying or telling the truth. Officers made dichotomous judgments of accuracy, which were used to calculate hits and false positives. In brief, they found that accuracy was unaffected by interview style and that a truth bias was found in that truth telling was more accurately assessed than lying. Effect sizes were reported. Additional studies have followed similar experimental methods, such as Hartwig et al. (2005) and Vrij et al. (2008 and 2009). An example of a quasi-experimental study would be Study 2 by Bull and Soukara (2010). In this study, the authors coded 80 actual interviews of suspects, which were randomly selected from a sample of 200 interviews. The authors reliably coded the interviews for the presence/absence of 17 tactics, the extent to which suspects moved towards confession (1 = no change to 5 = move from denial to confession), and a dichotomous confession outcome. The 17 tactics were categorized into information-gathering (e.g., open questions, gentle prods) or interrogatory (e.g., maximization, intimidation, leading questions). As stated by the authors, “this Study 2 did not find a simple relationship between degree of tactic usage and extent of shift to confessing” (p. 149). However, Study 2 did find that the two tactics of positive confrontation and leading questions (both interrogatory tactics) were more frequent in the interviews producing confessions. These results help to highlight the techniques that produce outcomes (although the accuracy of outcomes are unknown) with actual crime suspects. If eligible studies have multiple outcomes, we will compute an effect size (odds ratio) for each outcome measure separately. If studies employ multiple conditions that represent a single construct (accusatorial or information-gathering methods), a weighted mean effect size will be calculated across these conditions, or a single condition will be selected for inclusion in the data. At this point (i.e., prior to our comprehensive search), our understanding of the literature is that most, if not all, studies have not repeatedly interviewed participants over time. Thus, we do not anticipate outcomes from multiple time points to be problematic. However, if we do encounter this, we will use the final outcome to compute effect sizes. After conducting the searches as described above, a study eligibility code sheet will be developed. This sheet will include basic information about the study (such as author names, journal name and volume, and title) and a checklist for each eligibility criterion described above. After the subset of eligible studies is finalized, they will be logged and assigned a unique study id number. Again basic information about the type of publication (conference paper, government report) and the study itself (date range of research, subject pool, country) will be documented. Of importance, we will also assess the methodological rigor of the studies. For example, we could use the Scientific Methods Scale designed by Lawrence Sherman, and utilized recently by Cynthia Lum and colleagues (see http://gemini.gmu.edu/cebcp/Matrix/SMSScoreKey.html). This scale categorizes studies into five categories of methodological rigor. At a broad level, we will code independent, method/procedural, and dependent variables for each study. Here are some possibilities of each. Final variables to be coded will partially depend on the number of studies that examine and report on them. Independent variables Method/Procedural variables Dependent variables We will generate two meta-analyses and a study space analysis. For both meta-analyses, we will code our outcome variables and assess the distribution of effect sizes for each outcome using a random effects model, including a report of the mean weighted effect sizes, any outliers, and the 95% confidence interval. A weighted analysis (least squares regression) of moderator effects will also be pursued if a sufficient number of studies is present (with sufficient variance among a given set of predictors). A forest plot graphing the calculated effect sizes will be produced. We will also aim to conduct a study space analysis, which is an analysis that provides a frequency and graphic representation (a matrix) of the current literature identifying the relationship between key independent, classification, methodological, procedural, dependent and measured variables. Of importance, these variables are intersected, and when the study space analysis is completed, the areas which have been ignored or are in need of study become apparent. Thus, whereas traditional literature reviews tend to focus on the findings of scientific studies, study space reviews can highlight what is needed to be studied, which can be quite important for policy-laden issues. An example of a generic study space matrix (from Malpass et al., 2008; Table 1) is below. As specified by Malpass and colleagues (2008), there are five steps in constructing a study space matrix: 1) identify the studies (which is also part of the meta-analysis); 2) construct for each study a matrix which shows the independent, method, procedural, and dependent variables; 3) identify and incorporate into the matrix constant variables; 4) enter a ‘1’ in the matrix cells corresponding to an intersection of study attributes for each study; and 5) merge the individual study matrices into one matrix. Malpass et al. (2008) conducted a study space analysis for eyewitness identification line-up procedures, and for the effects of alcohol on witness memory. The latter matrix is attached below as an example of a completed matrix. Qualitative studies will not be eligible for the study space and meta-analyses because they do not meet the experimental or quasi-experimental criteria. However, when such studies are located in our we will make determinations about their possible relevance in identifying outcome in developing research questions, and in the of These determinations will be made by and the studies for A of any studies in our search will be in the final The below of dates will be to as as The review will be every three to five The reviewers and their students will be responsible for the same search and methods will be of the reviewers have of Meissner has the deception and including conducting several meta-analyses in this and other areas & Meissner & Kassin, Meissner, & 2008; & Meissner, 2005). has also a by the on investigative interviewing. This into a and research, and policy which was published by the & Meissner, 2010). Redlich has the literature on U.S. police and military as part of the scientific review to a on police interrogations and false confessions (see Kassin et al., 2010). This review (as well as Redlich, 2007; Redlich & Meissner, provide the for interest in to conduct this systematic for the CI & U.S. and CI & U.S. will also on the as Both were in a recent review of the U.S. Brandon, & Kleinman, 2009). and have knowledge and access to reports of by the U.S. (as well as the United relevant to this proposed will also in the reviewers to be in at the of at Table 1 from Malpass et al., study space & Table from Malpass et al., study space for alcohol and eyewitness &

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,196
score de la tête « metaresearch » (Gemma)0,270
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Protocole · Signal consensuel: Protocole
Score de désaccord entre enseignants0,196
Score d'incertitude au seuil0,992

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,1960,270
Méta-épidémiologie (sens strict)0,0050,007
Méta-épidémiologie (sens large)0,0100,008
Bibliométrie0,0100,011
Études des sciences et des technologies0,0050,005
Communication savante0,0080,008
Science ouverte0,0040,006
Intégrité de la recherche0,0110,010
Charge utile insuffisante (le modèle a refusé de juger)0,1790,045

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,133
Tête enseignante GPT0,462
Écart entre enseignants0,329 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeRevue systématique
Domainenon disponible
GenreProtocole

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2010
Routes d'admission1
Résumé présentoui

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