Body Image Testing System: A microcomputer program for assessing body image

An interactive computer program, the Body Image Testing System (BITS), was developed to assess different components of the body image construct. The BITS program displays a frontal and side view of a human body. Subjects can change the size of each of nine body parts independently (face, neck, shoulders, arms, chest, breasts, stomach, hips, and thighs). Subjects interact with the program until satisfied that the image created matches the instructions. Subjects also provide satisfaction ratings for the nine body segments. To validate BITS, a variety of body image and eating disturbance measures was obtained from over 500 subjects. A factor analysis of actual-ideal differences and a perceptual distortion measure, derived using multiple regression, resulted in five orthogonal factors. Factor 1 measured actual-ideal discrepancy for weight-sensitive body parts. Factor 2 measured the perceptual distortion of weight-sensitive body parts. Additional factors measured perception of face and neck, shoulders, and breasts. The five factor scores plus the satisfaction ratings were strongly associated with actual body size, body fat percentage, and circumference of specific body parts. In addition, there were strong associations between the BITS and other measures of body image. Finally, BITS scores accounted for between 15 and 60% of the variance in measures of eating disturbance.     

Expected performance at the human/computer interface as a function of user proficiency and system power

How do managers expect the proficiency of users and the power of the computers to determine overall performance? Five different models are proposed: (a) a matching model in which optimal performance is achieved when the power of the system is judged to be compatible with the proficiency of the user, (b) an averaging model in which expected performance is the average of the values of user proficiency and system power, (c) a multiplying model in which performance is the product of the values of user proficiency and system power, (d) a human/computer ratio model in which performance is determined by the ratio of system power over total effort, and (e) a computer/human ratio model in which performance is determined by the ratio of user proficiency over total effort. The applicability of these models was assessed by having managers and students of management predict performance in human/computer systems from information about the user's proficiency with computers and the power of the system. Participants rated 16 combinations of user proficiency and system power from a 4 × 4 factorial design. The pattern of ratings indicated that 51 per cent used a multiplying model and 25 percent used an averaging model; whereas, only 6 percent used the matching model and 4 percent used a ratio model. The remaining 14 percent did not follow any model clearly. Implications of these results were discussed for the design of the human/ computer interface, training and selection of users, and the cost-benefit tradeoffs for investment in user training versus equipment acquisition.     

Reliability and validity of children's reports of migraine headache symptoms

The present study was concerned with whether children's responses to a questionnaire correspond with parents' reports of the child's headache symptoms and whether these responses correlate with self-monitored headache activity. Twenty-eight children, ages 7 years–16 years, participated in the study. Using a questionnaire format, data on a wide variety of headache characteristics were gathered from parents and children. During the subsequent 4 weeks, children monitored their headache activity and medication usage. Results were generally supportive of the validity and reliability of children's reports via a questionnaire format. The responses to the frequency of headache and medication usage were found to predict the responses over the next month, whereas the response on the duration of headache did not. Significant correlations for most headache-symptom items indicated that children and parents agree on their presence and severity. This investigation is the first step in developing a systematic assessment procedure for childhood headache.     

Development and initial validation of an indirect measure of transformational leadership integrity

An indirect measure of transformational leadership integrity was developed across three studies. In Study 1, the transformational leadership integrity implicit association test (TLI-IAT) was developed and tested with 65 leaders across heterogeneous organizational contexts. Study 2 involved 51 coaches from 18 sports. Results from Studies 1 and 2 supported the construct validity of the instrument, providing evidence of the instrument's convergent and discriminant validity. Study 3 involved 32 coaches and 133 players from six sports. Findings supported the criterion validity of the measure, providing evidence for the instrument's predictive validity. In sum, evidence is presented that supports the TLI-IATs construct and criterion validity. As such, the present research has made significant advancements to the transformational leadership integrity literature and provides researchers with an indirect measure of automatic transformational leadership integrity self-attitudes.     

The effects of labelling,expert testimony,and information processing mode on juror decisions in SVP civil commitment trials

Expert witnesses offering testimony in sexually violent predator civil commitment trials may use diagnostic labels that are either familiar (e.g. ‘psychopath’) or unfamiliar (e.g. ‘paraphilia’) to jurors. Using predictions based on cognitive experiential self-theory, we explored the influence of testimony type (clinical versus actuarial) and diagnostic label (psychopath versus paraphilia) on jurors motivated to adopt either an experiential processing mode (PM; in which heuristic cues may be strongly relied upon) or an analytic rational PM. Consistent with previous research, our results indicated that when given a psychopathic diagnostic label, mock jurors motivated to process information experientially were more influenced by clinical testimony, whereas mock jurors induced into a rational mode were more influenced by actuarial testimony. However, experientially oriented jurors given a paraphilia diagnostic label did not show the expected influence of clinical expert testimony, and instead were more persuaded by actuarial testimony. These findings are discussed from a judgement and heuristics cues framework. The implications of several procedural suggestions are examined. Copyright © 2009 John Wiley & Sons, Ltd.     

情景判断测验的开发程序、构思效度及研究趋势

章详细介绍情景判断测验开发的一般程序,对情景判断测验的多种形式和记分方法进行了总结和比较。同时,从情景判断测验的结果与认知能力、个性和工作经验等关系的角度出发,分析了情景判断测验的构思效度,认为情景判断测验测量的是多维构思。文章最后认为,需要从与其他构思的关系、测评指定构思、影响效度的因素以及跨文化比较等四个方面对情景判断测验开展进一步研究。     

Resilience and career adaptability: Qualitative studies of adult career counseling

Global economic recession is exerting extreme pressures not only on individuals attempting to move into and through labor markets, but also on those providing support for such transitions. Resilience and career adaptability are increasingly relevant, yet despite being present in the literature for some time, these concepts have been under-represented in the vocational psychology literature. This article represents a contribution to redressing this balance by focusing on their potential to make positive contributions both to clients of career counseling and to practitioners delivering these services. Drawing on data from four qualitative studies conducted in England, Norway and the Republic of Ireland from 2003 to 2012, these concepts are examined, together with their complementarity for career counseling practice. The article also discusses the role, status and conduct of qualitative research as well as the importance of the researcher/participant relationship in qualitative research investigations.     

Dynamic Bayesian Network Modeling of Game-Based Diagnostic Assessments

Abstract

Digital games offer an appealing environment for assessing student proficiencies, including skills and misconceptions in a diagnostic setting. This paper proposes a dynamic Bayesian network modeling approach for observations of student performance from an educational video game. Drawing from and advancing methods in dynamic Bayesian networks, cognitive diagnostic modeling, and analysis of process data, a Bayesian approach to model construction, calibration, and use in facilitating inferences about students on the fly is described, and implemented in the context of an educational video game.