Asymptotic Standard Errors of Generalized Partial Credit Model True Score Equating Using Characteristic Curve Methods

In this study, the delta method was applied to estimate the standard errors of the true score equating when using the characteristic curve methods with the generalized partial credit model in test equating under the context of the common-item nonequivalent groups equating design. Simulation studies were further conducted to compare the performance of the delta method with that of the bootstrap method and the multiple imputation method. The results indicated that the standard errors produced by the delta method were very close to the criterion empirical standard errors as well as those yielded by the bootstrap method and the multiple imputation method under all the manipulated conditions.     

A Fuzzy Goal Programming Formulation with Multiple Target Levels

The essential activity of a manager is decision making, which is becoming more and more complex, mainly in the multi‐criteria problems. Multi‐choice goal programming (MCGP) is considered as a robust tool in operational research to solve this type of problem. However, in real world problems, determining precise targets for the goals is a difficult task. To deal with such situation, Tabrizi introduced and used in 2012 the concept of membership functions in the MCGP model in order to model the targets fuzziness of each goal. In their model, they considered just only one type of functions (triangular form), which does not reflect adequately the decision maker's preferences that are considered as an essential element for modelling the goal's fuzziness. Their model is called Fuzzy MCGP. In this paper, new ideas are presented to reformulate MCGP model to tackle all types of functions by introducing the (decision maker's) preferences. The concept of indifference thresholds is used in the new formulation for characterizing the imprecision and the preferences associated with all types of the goals. The proposed formulation provides useful insight about the solution of a new class of problems. A numerical example is given to demonstrate the validity and strength of the new formulation. Copyright © 2013 John Wiley & Sons, Ltd.     

广西肝恶性肿瘤患者住院费用的研究

为探讨肝恶性肿瘤患者住院总费用情况,对广西2010年～2012年间肝恶性肿瘤患者的住院费用资料进行统计学分析,比较肝恶性肿瘤患者3年住院总费用的变化情况,并采用多重线性回归分析方法,分析肝恶性肿瘤患者住院总费用的影响因素.结果显示广西肝恶性肿瘤住院患者逐年增多,住院费用逐年增高;住院天数、有无手术、有无合并症、有无院内感染、性别、年龄6个因素是住院总费用的影响因素.我们应加大预防控制肝恶性肿瘤的力度,建立单病种诊疗规范和费用控制标准,推进临床路径管理,以减轻患者的经济负担.     

Improvement of Thematic Classification in Offender Profiling: Classifying Serbian Homicides Using Multiple Correspondence,Cluster, and Discriminant Function Analyses

This paper investigates thematic classification of homicides for the purpose of behavioural investigative analysis (e.g. offender profiling). Previous research has predominantly used smallest space analysis (SSA) to conceptualise and classify offences into thematic groups based on crime scene behaviour data. This paper introduces a combined approach utilising multiple correspondence analysis (MCA), cluster analysis (CA), and discriminant function analysis (DFA) to define and differentiate crime scenes into expressive or instrumental and impersonal or personal crimes. MCA is used to derive the latent structural dimensions in the crime data and produce quantitative scores for each offence along these dimensions. Two‐step CA was then utilised to classify offences. Offence dimensional scores were then used to predict cluster membership under DFA, producing cluster centroids corresponding to MCA dimensions. Centroids were plotted on the MCA correspondence map to simultaneously conceptualise crime classification and the latent structure of the Serbian crime data. Classification of offences based on MCA dimensional scores were 91.5% accurate. This MCA–CA–DFA approach may reduce some of the more subjective aspects of SSA methodology used in classification, whilst producing a product more amenable to objective and cumulative review. Implications for offender profiling research utilising SSA and this approach are discussed. Copyright © 2014 John Wiley & Sons, Ltd.     

Reinforcer pathology,probabilistic choice,and medication adherence in patients with multiple sclerosis

The reinforcer pathology model posits that core behavioral economic mechanisms, including delay discounting and behavioral economic demand, underlie adverse health decisions and related clinical disorders. Extensions beyond substance use disorder and obesity, however, are limited. Using a reinforcer pathology framework, this study evaluates medical adherence decisions in patients with multiple sclerosis. Participants completed behavioral economic measures, including delay discounting, probability discounting, and a medication purchase task. A medical decision-making task was also used to evaluate how sensitivity to mild side effect risk and efficacy contributed to the likelihood of taking a hypothetical disease-modifying therapy. Less steep delay discounting and more intense (greater) medication demand were independently associated with greater adherence to the medication decision-making procedure. More generally, the pattern of interrelations between the medication-specific and general behavioral economic metrics was consistent with and contributes to the reinforcer pathology model. Additional research is warranted to expand these models to different populations and health behaviors, including those of a positive health orientation (i.e., medication adherence).     

The effect of perceived stress and specialization on the relationship between perfectionism and burnout in collegiate athletes

Background: Athletic burnout is common when demands of the sport exceed the rewards. Individuals with certain personality dispositions, such as perfectionism, are at increased risk of experiencing perceived stress and subsequent burnout (Fender, L. K. (1989). Athlete burnout: Potential for research and intervention strategies. The Sport Psychologist, 3, 63–71. doi:10.1123/tsp.3.1.63; Gould, D., Tuffey, S., Udry, E., &; Loehr, J. (1996). Burnout in competitive junior tennis players: I. A quantitative psychological assessment. The Sport Psychologist, 10, 322–340. doi:10.1123/tsp.10.4.322; Stoeber, J. (2011). The dual nature of perfectionism in sports: Relationships with emotion, motivation, and performance. International Review of Sport and Exercise Psychology, 4, 128–145. doi:10.1080/1750984x.2011.604789). Perfectionism has both adaptive and maladaptive dimensions, with the more maladaptive qualities leading to greater perceived stress (Hamachek, D. E. (1978). Psychodynamics of normal and neurotic perfectionism. Psychology, 15, 27–33.; Rice, K. G., &; Van Arsdale, A. C. (2010). Perfectionism, perceived stress, drinking to cope, and alcohol-related problems among college students. Journal of Counseling Psychology, 57, 439–450. doi:10.1037/a0020221).

Objectives: This study examined the influence of perfectionistic strivings and concerns on burnout, and perceived stress as a mediator of this relationship in Division II and III specialized and multiple-sport athletes (N?=?351).

Design: Cross-Sectional.

Methods: Participants completed a demographic questionnaire and online measures of perfectionism, stress, and burnout during the latter part of the competitive season.

Results: Results showed a positive, direct effect of perfectionistic concerns on burnout. Stress partially mediated this relationship. Additionally, perfectionistic strivings had a negative direct effect on burnout for specialized athletes.

Conclusion: The relationship between perfectionistic concerns and burnout is partially explained by stress. Multiple sport athletes showed lower levels of stress compared to specialized ones. Finally, perfectionistic strivings are associated with lower levels of burnout for specialized athletes.     

Weak Consistency for Ensuring Priority Vectors Reliability

Consistency and transitivity are important and leading research topics in the study of decision‐making in terms of pairwise comparison matrices. In this paper, we search for conditions that, in case of inconsistency, guarantee ordinal compatibility between ordinal ranking (actual ranking) derived from a transitive matrix and cardinal rankings provided by the most usual priority vectors proposed in the scientific literature. We provide the notion of weak consistency; it is a condition weaker than consistency and stronger than transitivity and ensures that vectors associated with a matrix, by means of a strictly increasing synthesis functional, provide a preference order, on the related set of decision elements, equal to the actual ranking. This notion extends, to the case in which the decision‐maker can be indifferent between two or more alternatives/criteria, weak consistency introduced in previous papers under constraint of no indifference. Finally, we introduce an order relation on the rows of the matrix, that is, a simple order if and only if weak consistency is satisfied; this simple order allows us to easily determine the actual ranking on the set of decision elements. Copyright © 2015 John Wiley & Sons, Ltd.     

Responses to critics

In response to points raised by our critics in this book symposium, we offer some clarifications about how to understand the role of science in assessing the multiple realization thesis. We also consider the connection between functionalism and multiple realization in the contexts of both psychological and biological sciences.