Statistics,data analysis and Psychometrika: Major developments

Approximately 15% of all papers appearing inPsychometrika during the period 1960–1984 have been statistical or data analytic in nature. While these papers cover a very wide range of issues and are technically quite similar to those appearing in other major statistical journals, collectively they possess features which make them identifiablyPsychometrika.     

Prediction accuracy of text recall: Ease, effort and familiarity

Prediction accuracy of text recall was studied in two experiments. Text characteristics (i.e., consistency and distinctiveness) were manipulated in Experiment 1, and familiarity with the reading-task in Experiment 2. The results were also analyzed and discussed in terms of easy processing (Experiment 1), and in terms of increased and more active processing (Experiment 2). Text characteristics did not affect prediction accuracy. However, being familiar with the reading-task led to good and long-lasting prediction accuracy. Thus, subjects reading a school-book text, instructed to learn the contents of it demonstrated reliable memory awareness, both for immediate recall and for delay of one week. It was also suggested that increased processing demands and active reading enhances prediction accuracy.     

American Psychiatric Association: Position Statement on Firearm Access,Acts of Violence and the Relationship to Mental Illness and Mental Health Services

The American Psychiatric Association, (“APA”), with more than 36,000 members at present, is the Nation's leading organization of physicians who specialize in psychiatry. APA provides for education and advocacy and develops policy through Position Statements. It promotes enhanced knowledge of particular topics relevant to psychiatric practice and patient care through Resource Documents. Since 1993, the APA has developed various positions and resource materials related to firearms and mental illness, incorporating evolving themes as new issues emerge. This paper reflects the APA's 2014 Position Statement on Firearm Access, Acts of Violence and the Relationship to Mental Illness and Mental Health Services.     

The classification of violence risk

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.