Constrained classification: The use of a priori information in cluster analysis

In many classification problems, one often possesses external and/or internal information concerning the objects or units to be analyzed which makes it appropriate to impose constraints on the set of allowable classifications and their characteristics. CONCLUS, or CONstrained CLUStering, is a new methodology devised to perform constrained classification in either an overlapping or nonoverlapping (hierarchical or nonhierarchial) manner. This paper initially reviews the related classification literature. A discussion of the use of constraints in clustering problems is then presented. The CONCLUS model and algorithm are described in detail, as well as their flexibility for use in various applications. Monte Carlo results are presented for two synthetic data sets with appropriate discussion of the resulting implications. An illustration of CONCLUS is presented with respect to a sales territory design problem where the objects classified are various Forbes-500 companies. Finally, the discussion section highlights the main contribution of the paper and offers some areas for future research.We wish to thank C. Mallows and J. D. Carroll for some helpful technical discussion and L. Clark and D. Art for their valuable computer assistance. We also wish to thank H. Pollak, R. Gnanadesikan, and J. Kettenring for their thorough reviews of a previous draft of this paper. Finally, we acknowledge helpful comments of the editor and two anonymous reviewers.     

Safety of micro-mobility: Riders’ psychological factors and risky behaviors of cargo TTWs in China

Cargo two- or three-wheeled vehicles (TTWs), as a new form of micro-mobility, have become a popular mode of urban cargo transportation in China. Cargo TTW riders’ psychological factors and risky behaviors lead to a number of accidents. A questionnaire is designed by comprehensively considering these factors and behaviors of cargo TTW riders that includes eleven risk factors to quantitatively analyze the risky behaviors based on structural equation modeling (SEM). One thousand three hundred nineteen participants reported using cargo TTWs on a questionnaire distributed across the country. The characteristics of riding behavior data are analyzed to verify the three-layer risk theoretical framework of “Psychological factors (Personality traits/specific factors) - Psychological acceptability of risks (confidence/perception/attitude) - Risky behaviors”. The results show that anger has a strong direct effect on riding violations, while normlessness and altruism have a direct effect on riding errors. Workload has a weak but direct effect on risky behaviors, and riding feedback has a weak and mixed effect. In addition, high-risk groups are identified by analysis of variance (ANOVA) with rider population attributes. These quantitative analyses can help guide safety countermeasures to mitigate accidents involving cargo TTWs.     

Treating a Chronically Depressed Adolescent Female Using the Cognitive Behavioral Analysis System of Psychotherapy: A Case Study

A case is presented of an adolescent female with double depression who was treated using the Cognitive Behavioral Analysis System of Psychotherapy (CBASP). CBASP is designed to teach a social problem-solving procedure called Situational Analysis (SA). Generalized treatment effects were measured through monitoring of diagnostic status, two administrations of the Minnesota Multiphasic Personality Inventory-Adolescent, weekly administrations of the Child Depression Inventory, and acquisition performance ratings on the SA task. The results showed that CBASP appeared to be an effective treatment. The double depressive disorder remitted, and the patient learned to identify behavioral consequences as well as target and attain her interpersonal goals. CBASP can be effective for adolescents, although modifications of the adult form of the therapy may be necessary.     

医学伪科学产生的宗教学析因

我国以气功、人体科学名义出现的医学伪科学是一种宗教现象或准宗教,其组织形式为膜拜教团,教主与信徒之间是欺骗与被欺骗的关系。医学伪科学的产生有一定的文化学背景,对文化的过高评价造成中国传统文化的超科学假象。虽非真正的宗教,医学伪科学却可以填补宗教的空缺发挥替代作用,这是医学伪科学得以出现和发展的重要原因。     

青少年攻击行为与友谊质量的交叉滞后回归分析

该研究采用问卷法,对湖北省一所初级中学二年级青少年进行了一个学年的纵向追踪研究,使用Bjorkquist等人编制的直接和间接攻击量表(DIA)以及Parker和Asher编制的友谊质量问卷(FQQ)测查青少年的身体攻击和友谊质量。然后采用二元交叉滞后回归分析法考察了初中二、三年级学生在一个学年中的攻击行为与友谊质量(总问卷及分问卷得分)的关系。结果表明,在控制了前测"肯定与关心"得分后,身体攻击显著地负向预测了"肯定与关心"得分。在控制了前测的"冲突解决策略"得分后,攻击行为边缘显著地预测了后测的"冲突解决策略"得分。同时发现,后测"身体攻击"和"冲突与背叛"不存在显著的相关。     

Análisis factorial de ítems de respuesta forzada: una revisión y un ejemplo

Forced-choice tests are widely used in order to reduce the impact of different response set biases typically associated to psychological tests (e.g. acquiescence or social desirability). However, these tests produce ipsative data which have undesirable properties, thereby making an inappropriate application of classical factor analysis techniques for psychometric evaluation commonly used by researchers. This paper explains the analytical properties of forced-choice tests, along with an example that illustrates how these properties have an impact on the application of conventional statistical techniques and produce improper results. Additionally, one of the current proposals is presented in order to analyze these data based on the comparative judgment model by Thurstone, along with the results of a simulation study which illustrates its implementation and effectiveness in recovering the original factor structure.     

Análisis factorial confirmatorio de la Escala de habilidades sociales en universitarios chilenos

This paper presents a psychometric study performing a confirmatory factor analysis of Gismero's Social Skills Scale. A background review is conducted on evaluation tools generally used for social skills, and the general characteristics of the scale are presented for the tool studied. A review is also conducted on psychometric properties of this tool. The sample consisted of 1206 college students at the Universidad Católica de Temuco, Chile. Confirmatory factor analysis was conducted using a polychoric correlation matrix, and the structure proposed by Gismero was analyzed. Reliability assessment procedures, such as internal consistency (Ordinal Alpha) and discriminant validity analysis, were also conducted using AF5 factors. The results show good internal reliability of the tool, suitability of the model to the data, and good discriminant validity. In conclusion, the Gismero's Social Skills Scale is considered as a suitable tool for assessing social skills in Chilean university students. A slight modification of the model structure in the second order factor level is proposed.     

Utilization of a cognitive task analysis for integrated project delivery application: Case study of constructing a campus underground parking facility

Integrated Project Delivery (IPD) has the potential to overcome inefficiencies of traditional delivery methods by enhancing collaboration among project participants, and is therefore gaining popularity in the Architecture, Engineering and Construction (AEC) industry. For owners considering an IPD approach and are incapable or unprepared to pursue a “pure” IPD project, an IPD-ish approach could be an alternative option. IPD mode is featured by implementing a range of fundamental principles. However, investigations on application of IPD-ish principles to actual construction projects are highly limited. This research mainly focused on a Cognitive Task Analysis (CTA) of the application of IPD principles to the design and construction of an IPD-ish project, and presenting a case study on an underground campus-parking facility. A case study for CTA was designed in this study: a project progress map was developed, wherein seven project phases were defined; by analyzing the project goals and technical measures in each project phase, six key IPD elements was summarized, and a few specific work measures for addressing these elements were discussed. For owners or participants intending to plan an IPD-ish project, the results of the study provide a few references on the selection and application of IPD principles in each project phase.     

Application of Multi‐Criteria Analysis on Climate Adaptation Assessment in the Context of Least Developed Countries

The developing countries are suffering the most because of climatic variability and they have an enormous backlog in basic infrastructure to protect their cities. In addition, the resources and technical expertise are limited. Therefore, the adaptation measures to protect their cities are needed to be planned and prioritized carefully to reduce the vulnerability simultaneously considering the risk reduction, local constraints and development goals. A framework for prioritization of adaptation measures is lacking in the decision making in this context which could immensely assist in informed and structured decisions during the planning process of adaptation strategies in developing countries. This paper is exploring the potential of Multi‐Criteria Analysis as a methodology for climate adaptation assessment in order to prioritize the adaptation measures to be undertaken. Hence in this paper Adaptation assessment is conducted within the framework of Multi‐Criteria Analysis methodology which allows both normative judgement and technical expertise in the assessment process. Such a participatory integrated assessment of adaptation options is a new approach in flood management in least developed countries. The assessment framework has been applied and tested at the Eastern fringe of Dhaka city which is highly vulnerable to flooding. Based on the assessment and analysis, adaptive measures are prioritized to enable more effective action. Copyright © 2016 John Wiley & Sons, Ltd.