REVISING THE SES: A COLLABORATIVE PROCESS TO IMPROVE ASSESSMENT OF SEXUAL AGGRESSION AND VICTIMIZATION

The Sexual Experiences Survey (SES) assesses victimization and perpetration of unwanted sexual experiences (e.g., Koss, Gidycz, & Wisniewski, 1987 ). Revised versions of the SES that resulted from the work of the SES Collaboration are now available. This article reviews weaknesses of the SES that were identified, strengths that were preserved, and methodological considerations in the measurement of unwanted sexual experiences that informed the revisions. The primary changes include: more behavioral specificity; conversion to gender neutrality; full crossing of unwanted acts and coercive tactics; and revised and updated wording for assessing consent, alcohol-related incidents, unwanted acts, and coercive tactics. For illustration, the full text of the revised victimization version and its scoring rules are provided. The article concludes with suggestions for future research. These suggestions aim to involve researchers in a coordinated agenda to develop data that clarify methodological questions and contribute to continued improvement in assessing sexual victimization and perpetration.     

Reviews: Books Photography

RELATIONAL PSYCHOANALYSIS: THE EMERGENCE OF A TRADITION. Edited by Stephen A. Mitchell and Lewis Aron. 514 pp. Hillsdale, NJ: The Analytic Press, 1999. $39.95. D.H. LAWRENCE AND THE PARADOXES OF PSYCHIC LIFE. By Barbara Ann Schapiro. 155 pp. Albany: State University of New York Press, 1999. $17.95. TECHNOLOGY AS MAGIC: THE TRIUMPH OF THE IRRATIONAL. By Richard Stivers. 240 pp. New York: Continuum Press. 1999. $24. REFLECTIONS ON A RAVAGED CENTURY. By Robert Conquest. 317 pp. New York: W. W. Norton & Company, 2000, $27.95. THE MYSTERIES WITHIN A SURGEON REFLECTS ON MEDICAL MYTHS. By Sherwin B. Nuland. 274 pp. New York: Simon & Schuster, 2000, $24.00. DISEASE, PAIN, AND SUICIDAL BEHAVIOR. By Elisabeth Stenager and Egon Stenager. 127 pp. New York: The Haworth Medical Press, 1998. $17.95. TRAUMA ASSESSMENTS: A CLINICIAN'S GUIDE. By E. B. Carlson. 307 pp. New York: The Guilford Press, 1997. $30. ON INFANCY AND TODDLERHOOD: AN ELEMENTARY TEXTBOOK. By David A. Freedman, M.D. 247 pp. Madison: International Universities Press, Inc., 1999. $27.95. TUESDAYS WITH MORRIE. By Mitch Albom. 192 pp. New York: Doubleday, 1997. $21. THE SORROWS OF THE QUAKER JESUS; JAMES NAYLER AND THE PURITAN CRACKDOWN ON THE FREE SPIRIT. By Leo Damrosch. 322 pp. Cambridge, MA: Harvard University Press, 1996, $39.95. THE PASTORAL CARE OF DEPRESSION: A GUIDEBOOK. By Binford W. Gilbert. 127 pp. New York: The Haworth Pastoral Press, 1998. $19.95. LEARNING DISABILITIES AND PSYCHIC CONFLICT: A PSYCHOANALYTIC CASEBOOK. By Arden Aibel Rothstein, Ph.D., and Jules Glenn, M.D. 504 pp. Madison: International Universities Press, Inc., 1999. $78. HAUNTED CHILDREN: RETHINKING MEDICATION OF COMMON PSYCHOLOGICAL DISORDERS. By Arthur F. Roemmelt, MD. 196 pp. New York: State University of New York Press, 1998. $17.95. NAVIGATING THE DEEP RIVER: SPIRITUALITY IN AFRICAN-AMERICAN FAMILIES. By Archie Smith, Jr. 181 pp. Cleveland, Ohio: United Church Press, 1997. $15.95. AL-JUNUN: MENTAL ILLNESS IN THE ISLAMIC WORLD. Edited by Ihsan Al-Issa. 382 pp. Madison: International Universities Press, 2000. $48. Witnessing the Lack of Sanctuary     

Graphical regression models for polytomous variables

When modeling the relationship between two nominal categorical variables, it is often desirable to include covariates to understand how individuals differ in their response behavior. Typically, however, not all the relevant covariates are available, with the result that the measured variables cannot fully account for the associations between the nominal variables. Under the assumption that the observed and unobserved variables follow a homogeneous conditional Gaussian distribution, this paper proposesRC(M) regression models to decompose the residual associations between the polytomous variables. Based on Goodman's (1979, 1985)RC(M) association model, a distinctive feature ofRC(M) regression models is that they facilitate the joint estimation of effects due to manifest and omitted (continuous) variables without requiring numerical integration. TheRC(M) regression models are illustrated using data from the High School and Beyond study (Tatsuoka & Lohnes, 1988). This article was accepted for publication, when Willem J. Heiser was the Editor ofPsychometrika. This research was supported by grants from the National Science Foundation (#SBR96-17510 and #SBR94-09531) and the Bureau of Educational Research at the University of Illinois. We thank Jee-Seon Kim for comments and computational assistance.     

Measuring Adherence to Medical Treatments in Childhood Chronic Illness: Considering Multiple Methods and Sources of Information

Adherence to medical treatment is a significant problem for children and adolescents with chronic conditions, such as asthma, diabetes, and cystic fibrosis. The consequences of nonadherence can be serious, contributing to increased symptoms, unnecessary hospitalizations, and declines in physical functioning. The quality of data obtained from clinical trials can also be affected by poor adherence, leading to erroneous conclusions concerning the efficacy of drug treatments and the dosages that are needed to achieve those effects. Adherence problems in both clinical research and practice also lead to substantially higher health care costs. In order to further our understanding of the barriers that lead to poor adherence and identify strategies that are effective in addressing them, we need to develop reliable and valid measures of adherence behaviors. Using cystic fibrosis as a model of a serious, chronic disease that requires a difficult and time-consuming medical regimen, three different types of adherence measures are considered: self-report questionnaires, daily diary reports, and electronic monitors. The specific advantages and disadvantages of each type of measurement are reviewed, and specific recommendations are made for future research.     

Research priorities for the COVID-19 pandemic and beyond: A call to action for psychological science

The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) that has caused the coronavirus disease 2019 (COVID-19) pandemic represents the greatest international biopsychosocial emergency the world has faced for a century, and psychological science has an integral role to offer in helping societies recover. The aim of this paper is to set out the shorter- and longer-term priorities for research in psychological science that will (a) frame the breadth and scope of potential contributions from across the discipline; (b) enable researchers to focus their resources on gaps in knowledge; and (c) help funders and policymakers make informed decisions about future research priorities in order to best meet the needs of societies as they emerge from the acute phase of the pandemic. The research priorities were informed by an expert panel convened by the British Psychological Society that reflects the breadth of the discipline; a wider advisory panel with international input; and a survey of 539 psychological scientists conducted early in May 2020. The most pressing need is to research the negative biopsychosocial impacts of the COVID-19 pandemic to facilitate immediate and longer-term recovery, not only in relation to mental health, but also in relation to behaviour change and adherence, work, education, children and families, physical health and the brain, and social cohesion and connectedness. We call on psychological scientists to work collaboratively with other scientists and stakeholders, establish consortia, and develop innovative research methods while maintaining high-quality, open, and rigorous research standards.     

A Longitudinal Test of the Job Demands‐Resources Model among Australian University Academics

A longitudinal test of the Job Demands‐Resources (JD‐R) model of work stress and engagement ( Bakker & Demerouti, 2007 ; Demerouti et al., 2001 ) was conducted in a sample of Australian university academics (N= 296). The aim was to extend the JD‐R model by (1) determining how well job demands (work pressure, academic workload) and job resources (procedural fairness, job autonomy) would predict psychological strain and organisational commitment over a three‐year period, and (2) incorporating longitudinal tests of reversed causation. The results of SEM analyses showed that Time 1 resources directly predicted Time 2 strain and organisational commitment, but that Time 1 demands predicted Time 2 strain only indirectly via job resources. We did not find evidence for reversed causation. We discuss possible mediators of the relationships between working conditions and work stress outcomes, and the practical implications of the results.