Response Mixture Modeling: Accounting for Heterogeneity in Item Characteristics across Response Times

In item response theory modeling of responses and response times, it is commonly assumed that the item responses have the same characteristics across the response times. However, heterogeneity might arise in the data if subjects resort to different response processes when solving the test items. These differences may be within-subject effects, that is, a subject might use a certain process on some of the items and a different process with different item characteristics on the other items. If the probability of using one process over the other process depends on the subject’s response time, within-subject heterogeneity of the item characteristics across the response times arises. In this paper, the method of response mixture modeling is presented to account for such heterogeneity. Contrary to traditional mixture modeling where the full response vectors are classified, response mixture modeling involves classification of the individual elements in the response vector. In a simulation study, the response mixture model is shown to be viable in terms of parameter recovery. In addition, the response mixture model is applied to a real dataset to illustrate its use in investigating within-subject heterogeneity in the item characteristics across response times.     

Equivalences Among Polarity Algorithms

The concept of polarity is pervasive in natural language. It relates syntax, semantics and pragmatics narrowly (Giannakidou, in: Maienborn, von Heusinger, Portner (eds.), Semantics: an international handbook of natural language meaning, De Gruyter Mouton, Berlin, 2011; Israel in The grammar of polarity: pragmatics, sensitivity, and the logic of scales, Cambridge studies in linguistics, Cambridge University Press, Cambridge, 2014), it refers to items of many syntactic categories such as nouns, verbs and adverbs. Neutral polarity items appear in affirmative and negative sentences, negative polarity items cannot appear in affirmative sentences, and positive polarity items cannot appear in negative sentences. A way of reasoning in Natural Language is through Natural Logic (van Benthem in Essays in logical semantics, vol. 29 of Studies in linguistics and philosophy, Reidel, Dordrecht, 1986; Language in action: categories, lambdas, and dynamic logic, vol. 130 of Studies in logic, Elsevier, Amsterdam, 1991). This logic is based on the concept of polarity in order to make the meaning of a sentence weaker o stronger without changing its truth value. There exist many proposals to compute polarity in the Natural Logic context, the most widely known are the ones by: van Benthem (1986, 1991), Sánchez-Valencia (Studies on natural logic and categorial grammar, Ph.D. thesis, Universiteit van Amsterdam, 1991), Dowty (Proceedings of the 4th conference on semantics and theoretical linguistics, Cornel University, CLC Publications, Rochester, 1994), and van Eijck (in: ten Cate, Zeevat (eds.), 6th international Tbilisi symposium on logic, language, and computation, Batumi, Georgia, Springer, 2007). If Natural Logic is going to be used, as an inferential mechanism between text fragments, in Natural Language Processing applications such as text summarization, question answering, and information extraction, it is a priority to know what the existing relationship among the aforementioned algorithms is; for example, to implement the most general. We show in this paper the equivalence among the analyzed algorithms, filling a gap in Natural Logic research, particularly in computing polarity, and the soundness of their algorithms.     

Brexit or Bremain? A person and social analysis of voting decisions in the EU referendum

The period following UK's European Union referendum in 2016 foreshadows significant social and political change in the UK. The current research draws on social psychological theories to empirically examine the drivers of voting decisions during the referendum. We report the results of a prospective study using structural equation modelling with data (N = 244) collected just before, and self‐reported voting behaviour immediately following (N = 197), the European Union referendum. We employ a person and social approach to examine the additive roles of worldview, conservatism, social identity, and intergroup threat as predictors of voting intentions and behaviour. Results showed that person factors (worldview and conservatism) predicted voting intentions through social factors (European identity and realistic threat) and that intentions predicted behaviour. The results highlight the importance of addressing threat‐based intergroup rhetoric and the potential of common in‐group identity to mitigate psychological threat.     

Reproductive Decision Support: Preferences and Needs of Couples at Risk for Hereditary Cancer and Clinical Geneticists

For couples at high risk of transmitting a cancer predisposition to offspring, reproductive decision-making can be challenging. As the choice between available reproductive options is preference-sensitive, the use of a decision aid can support these couples in their decisional process. The present study aims to investigate preferences and needs of involved stakeholders regarding the development and implementation of a patient decision aid. Semi-structured interviews assessing the needs and preferences regarding the content and functionalities of a decision support program were conducted among seven couples at risk for hereditary cancer and among eight clinical geneticists involved in oncogenetic counseling. Many similarities were found between the expressed preferences and needs of both stakeholder groups concerning the content, barriers and facilitating factors regarding the use of the decision aid, and its implementation. Emphasis was placed on the use of simple non-medical language, an extensive explanation of the procedures and techniques used in prenatal diagnosis (PND) and preimplantation genetic diagnosis (PGD), and the role of health care providers to refer couples to the decision aid. Both stakeholder groups were in favor of incorporating narrative stories in the decision aid. Integrating the present findings with knowledge on reproductive decisional motives and considerations is essential in guiding the development of a decision aid that corresponds to the preferences and needs of end-users. Trial registration: NTR5467     

Cognitive Behavior Therapy for Fear of Cancer Recurrence: A Case Study

This case study describes the course and content of cognitive behavior therapy (CBT) for clinical fear of cancer recurrence (FCR) in a breast cancer survivor. The CBT for clinical FCR consisted of seven face-to-face therapy sessions and one telephone session. The primary treatment goal was to reduce FCR severity by modifying cognitive processes and dysfunctional behavior. Assessments of FCR and quality of life were completed by the breast cancer survivor pre-therapy, post-therapy, and at 6 and 12 months of post-therapy. In each treatment session, perceived control over FCR was assessed. A clinical nurse specialist participated in evaluation interviews. The patient’s perceived control over FCR increased during the therapy, and FCR severity declined to a non-clinical level. This improvement was still evident at the 6- and 12-month follow-up assessments and was supported by results for secondary and exploratory outcomes measures. FCR offers a great challenge for health care professionals due to the lack of effective treatment options. This case study shows how clinical FCR can be addressed with CBT and can contribute to the improvement of care for cancer survivors.     

De l’opportunité d’une nouvelle loi sur la fin de vie ?

This paper deals with the end of life issue. It advocates for putting the legislation about end of life a part from bioethics laws and addresses some legal problems.     

Psychosocial Variables Associated With Verbal Abuse as a Form of Intimate Partner Violence Against Women in a Spanish Sample

This article aims to analyze psychosocial variables associated with verbal abuse in women who suffer intimate partner violence. The following factors, taken from the scientific literature, were examined: social and family isolation; low self-esteem; an excess of empathy for the abuser; submission; psychological dependence on the abuser; and, self-blame as internal attribution for the cause of abuse. Our results show that low self-esteem has a direct relationship with verbal abuse. Additionally, family (including in-laws) and social (from friends, workmates, and neighbors), isolation are significantly and positively related to verbal abuse. The results of our study raise questions about the adoption of gender roles and their consequences when stereotyped tendencies are acquired. Implications, as well as ideas future research, are discussed.