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John Monahan

Bio: John Monahan is an academic researcher from University of Virginia. The author has contributed to research in topics: Poison control & Risk assessment. The author has an hindex of 72, co-authored 313 publications receiving 21833 citations. Previous affiliations of John Monahan include University of California, San Francisco & City University of New York.


Papers
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Book
10 Nov 2009
TL;DR: The 7th edition of as discussed by the authors is a completely revised and up-to-date treatment of the use of research and testimony from all the social sciences in American courts and includes:
Abstract: The seventh edition is a completely revised and up-to-date treatment of the use of research and testimony from all the social sciences in American courts This new edition includes:

94 citations

Journal ArticleDOI
TL;DR: In this paper, the authors discuss the relationship between criminal justice and mental health, and discuss the role of role components, evidence components, role components and role components in the legal process.
Abstract: INTRODUCTION 442 SUBSTANTIVE LAW 443 Competence 443 To consent to treatment ........ ........ ...... 444 To waive rights 445 The Criminal Sanction ... ....... 445 Deterrence ....... ..... ... ........ ... ......... .... ....... ..... ..... ..... 446 Rehabilitation ......... ... ....... ..... ....... ..... ..... ..... 447 THE LEGAL PROCESS 447 Role Components 448 Jurors 448 Defendants. .•.••.•.•.•.• .•.•.•. ..••........ ..... .•.•. .•.•. ........ ... ......•. ...•. .•.•.•. ..... 449 Process Components 449 Evidence. . 449 Procedure ......... ..... ........ ..... ....... 450 Dec ision-rules 451 THE LEGAL SySTEM 452 Criminal Justice System 452 Mental Health System 453 Interactions Between Criminal Justice and Mental Health 455 RECURRING ISSUES 456 Questions 0/ Theory 456 Questions 0/ Method 459 Questions 0/ Influence 463 CONCLUSION 466

93 citations

Journal ArticleDOI
TL;DR: This report summarizes the findings of an exploratory study designed to gather data needed to refine the conceptualization and measurement of coercion.
Abstract: Little is known about the coercive pressures brought to bear on psychiatric patients in the hospitalization process. Significant methodological hurdles stand in the way of this research. Most notably, reliable and valid methods of ascertaining and quantifying perceptions of coercion have not been developed. This report summarizes the findings of an exploratory study designed to gather data needed to refine the conceptualization and measurement of coercion. Multiple perspectives on admission incidents for forty-three patients (26% of whom were involuntarily hospitalized) were obtained. Patients were administered research interviews and completed a self-administered inventory shortly after the admission decision. The admitting clinician and a family member involved in the admission were administered parallel interviews. In addition, focus groups comprised of outpatients, former patients, family members, and clinical staff were conducted to uncover the terminology and description of coercion commonly used. The implications of these preliminary quantitative and qualitative findings for future research are discussed

93 citations

Journal ArticleDOI
TL;DR: The development of the COVR software is described and several issues that arise in its administration are discussed.
Abstract: The Classification of Violence Risk (COVR) is an interactive software program designed to estimate the risk that a person hospitalized for mental disorder will be violent to others. The software leads the evaluator through a chart review and a brief interview with the patient. At the end of this interview, the software generates a report that contains a statistically valid estimate of the patient's violence risk-ranging from a 1% to a 76% likelihood of violence-including the confidence interval for that estimate, and a list of the risk factors that the program took into account to produce the estimate. In this article, the development of the COVR software is described and several issues that arise in its administration are discussed.

92 citations

Journal ArticleDOI
TL;DR: In this article, a distinction between two types of expert evidence, namely framework evidence that describes general scientific propositions and diagnostic evidence that applies the general propositions to individual cases, is made and the evidentiary implications of that distinction are examined.
Abstract: A fundamental divide exists between what scientists do as scientists and what courts often ask them to do as expert witnesses. Whereas scientists almost invariably measure phenomena at the group level, trial courts typically need to resolve cases at the individual level. A basic challenge for trial courts that rely on scientific experts, therefore, concerns translating scientific knowledge derived from studying groups into information that can be helpful in the individual cases before them (what this article refers to as “G2i”). To aid in dealing with this challenge, this article proposes a distinction between two types of expert evidence: framework evidence that describes general scientific propositions and diagnostic evidence that applies the general propositions to individual cases. It then examines the evidentiary implications of that distinction. Most importantly, admissibility standards for expert testimony should differ depending on whether experts are proffering framework or diagnostic evidence. Judicial analysis of “fit,” expert qualifications, testability, error rates, peer review, general acceptance, helpfulness and other traditional admissibility criteria for expert evidence will often vary, sometimes significantly, based on this distinction. The article provides general guidelines about the best practices judges should follow in sorting through these considerations. These guidelines will permit courts to manage G2i inferences in a more informed and coherent way than they do currently.

91 citations


Cited by
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Journal ArticleDOI
TL;DR: The purpose of this article is to serve as an introduction to ROC graphs and as a guide for using them in research.

17,017 citations

Book
01 Jul 2002
TL;DR: In this article, a review is presented of the book "Heuristics and Biases: The Psychology of Intuitive Judgment, edited by Thomas Gilovich, Dale Griffin, and Daniel Kahneman".
Abstract: A review is presented of the book “Heuristics and Biases: The Psychology of Intuitive Judgment,” edited by Thomas Gilovich, Dale Griffin, and Daniel Kahneman.

3,642 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined the implica- tions of individual differences in performance for each of the four explanations of the normative/descriptive gap, including performance errors, computational limitations, the wrong norm being applied by the experi- menter, and a different construal of the task by the subject.
Abstract: Much research in the last two decades has demon- strated that human responses deviate from the performance deemed normative according to various models of decision mak- ing and rational judgment (e.g., the basic axioms of utility theory). This gap between the normative and the descriptive can be inter- preted as indicating systematic irrationalities in human cognition. However, four alternative interpretations preserve the assumption that human behavior and cognition is largely rational. These posit that the gap is due to (1) performance errors, (2) computational limitations, (3) the wrong norm being applied by the experi- menter, and (4) a different construal of the task by the subject. In the debates about the viability of these alternative explanations, attention has been focused too narrowly on the modal response. In a series of experiments involving most of the classic tasks in the heuristics and biases literature, we have examined the implica- tions of individual differences in performance for each of the four explanations of the normative/descriptive gap. Performance er- rors are a minor factor in the gap; computational limitations un- derlie non-normative responding on several tasks, particularly those that involve some type of cognitive decontextualization. Un- expected patterns of covariance can suggest when the wrong norm is being applied to a task or when an alternative construal of the task should be considered appropriate.

3,068 citations

Journal ArticleDOI
TL;DR: There is general support for the hypothesis that children with poor peer adjustment are at risk for later life difficulties, and support is clearest for the outcomes of dropping out and criminality.
Abstract: In this review, we examine the oft-made claim that peer-relationship difficulties in childhood predict serious adjustment problems in later life. The article begins with a framework for conceptualizing and assessing children's peer difficulties and with a discussion of conceptual and methodological issues in longitudinal risk research. Following this, three indexes of problematic peer relationships (acceptance, aggressiveness, and shyness/withdrawal) are evaluated as predictors of three later outcomes (dropping out of school, criminality, and psychcpathology). The relation between peer difficulties and later maladjustment is examined in terms of both the consistency and strength of prediction. A review and analysis of the literature indicates general support for the hypothesis that children with poor peer adjustment are at risk for later life difficulties. Support is clearest for the outcomes of dropping out and criminality. It is also clearest for low acceptance and aggressiveness as predictors, whereas a link between shyness/withdrawal and later maladjustment has not yet been adequately tested. The article concludes with a critical discussion of the implicit models that have guided past research in this area and a set of recommendations for the next generation of research on the risk

3,055 citations

Posted Content
TL;DR: This article addresses the important questions of how to infuse needed "doses of feeling" into circumstances where lack of experience may otherwise leave us too "coldly rational"?
Abstract: Modern theories in cognitive psychology and neuroscience indicate that there are two fundamental ways in which human beings comprehend risk. The analytic system uses algorithms and normative rules, such as probability calculus, formal logic, and risk assessment. It is relatively slow, effortful, and requires conscious control. The experiential system is intuitive, fast, mostly automatic, and not very accessible to conscious awareness. The experiential system enabled human beings to survive during their long period of evolution and remains today the most natural and most common way to respond to risk. It relies on images and associations, linked by experience to emotion and affect (a feeling that something is good or bad). This system represents risk as a feeling that tells us whether it's safe to walk down this dark street or drink this strange-smelling water. Proponents of formal risk analysis tend to view affective responses to risk as irrational. Current wisdom disputes this view. The rational and the experiential systems operate in parallel and each seems to depend on the other for guidance. Studies have demonstrated that analytic reasoning cannot be effective unless it is guided by emotion and affect. Rational decision making requires proper integration of both modes of thought. Both systems have their advantages, biases, and limitations. Now that we are beginning to understand the complex interplay between emotion and reason that is essential to rational behavior, the challenge before us is to think creatively about what this means for managing risk. On the one hand, how do we apply reason to temper the strong emotions engendered by some risk events? On the other hand, how do we infuse needed "doses of feeling" into circumstances where lack of experience may otherwise leave us too "coldly rational"? This article addresses these important questions.

3,046 citations