Normative Ethics after Pragmatic Naturalism

Philip Kitcher presents an ambitious account of pragmatic naturalism that incorporates an explanatory story of the emergence and development of ethics, a metaethical perspective on progress, and a normative stance for moral theorizing. This article contends that Kitcher's normative stance is incompatible with the explanatory and metaethical components of his project. Instead, pragmatic naturalists should endorse a normative ethics that is experimental, grounded in practice, and acutely aware of cognitive and informational limitations. In particular, the ethical project would benefit from endorsing empirical work on participatory democracy for the identification of mechanisms to guide us on deep moral conflicts.     

肢体自然重建理念——一种人文关怀治疗

著名的医学家、哲学家Hippocrates在公元前4世纪就指出:医生的责任仅在于促进疾病的自然康复过程,而非阻拦这个过程.患者得以治愈的根据是患者自身存在的康复能力;医生首先必须清楚:自己所治疗的对象是人,是有生命的、有思想的、活在社会上的人,而不是被修理的物件.医生能够做到的只是为患者创造或提供一定的有利于康复的条件.20世纪50年代,前苏联骨科专家Ilizarov发现了张力-应力法则,并因此创造出的牵拉再生、自然重建技术,正是很好地诠释了Hippocrates的思想.     

Client as expert: A Delphi poll of clients’ subjective experience of therapeutic alliance formation variables

This study extends prior research that identified client-derived variables believed to contribute to therapeutic alliance development. Forty-two clients participated in a three-round-modified Delphi poll in which the subjective importance of 74 client-derived, common alliance formation variables was rated using a six-point scale. Participants consensually identified 23 variables as highly important, five as moderately important and three as low in importance to the formation of a strong alliance. Variables related to validation and asking about parts of the client’s life other than the presenting concern were considered as most important by at least one-third of the sample. Limitations of the study are presented and implications for theory, measurement, practice and future research are briefly discussed.     

基于结构方程模型的多重中介效应分析

多重中介模型是指存在多个中介变量的模型。多重中介模型可以分析特定中介效应、总的中介效应和对比中介效应。指出了目前多重中介模型分析普遍存在的问题,包括分析不完整、使用Sobel检验带来的局限。建议通过增加辅助变量的方法进行完整的多重中介效应分析,使用偏差校正的Bootstrap方法进行中介检验。总结出一个多重中介SEM分析流程,并有示例和相应的MPLUS程序。随后展望了辅助变量和中介效应检验方法的发展方向。     

Proactive control of proactive interference using the method of loci

Proactive interferencebuilds up with exposure to multiple lists of similar items with a resulting reduction in recall. This study examined the effectiveness of using a proactive strategy of the method of loci to reduce proactive interference in a list recall paradigm of categorically similar words. While all participants reported using some form of strategy to recall list words, this study demonstrated that young adults were able to proactively use the method of loci after 25 min of instruction to reduce proactive interference as compared with other personal spontaneous strategies. The implications of this study are that top-down proactive strategies such as the method of loci can significantly reduce proactive interference, and that the use of image and sequence or location are especially useful in this regard.     

Testing autocorrelation and partial autocorrelation: Asymptotic methods versus resampling techniques

Autocorrelation and partial autocorrelation, which provide a mathematical tool to understand repeating patterns in time series data, are often used to facilitate the identification of model orders of time series models (e.g., moving average and autoregressive models). Asymptotic methods for testing autocorrelation and partial autocorrelation such as the 1/T approximation method and the Bartlett's formula method may fail in finite samples and are vulnerable to non-normality. Resampling techniques such as the moving block bootstrap and the surrogate data method are competitive alternatives. In this study, we use a Monte Carlo simulation study and a real data example to compare asymptotic methods with the aforementioned resampling techniques. For each resampling technique, we consider both the percentile method and the bias-corrected and accelerated method for interval construction. Simulation results show that the surrogate data method with percentile intervals yields better performance than the other methods. An R package pautocorr is used to carry out tests evaluated in this study.     

The everyday dynamics of rumination and worry: precipitant events and affective consequences

ABSTRACT

Rumination and worry are two perseverative, negatively valenced thought processes that characterise depressive and anxiety disorders. Despite significant research interest, little is known about the everyday precipitants and consequences of rumination and worry. Using an experience sampling methodology, we examined and compared rumination and worry with respect to their relations to daily events and affective experience. Participants diagnosed with Major Depressive Disorder (MDD), Generalized Anxiety Disorder (GAD), co-occurring MDD–GAD, or no diagnosis carried an electronic device for one week and reported on rumination, worry, significant events, positive affect (PA), and negative affect (NA). Across the clinical groups, occurrences of everyday events predicted subsequent increases in rumination, but not worry. Further, higher momentary levels of rumination, but not worry, predicted subsequent decreases in PA and increases in NA. Thus, in these clinical groups, rumination was more susceptible to daily events and produced stronger affective changes over time. We discuss implications for theory and clinical intervention.     

Who’s afraid of the big bad wolf? The interweaving of values and science

The role of values in the scientific process is widely debated. But evidence and values cannot be neatly separated. Instead, values infuse the entire scientific process, starting with the choice of research questions. Research avenues are selected based on prior beliefs about the workings of the world. In fact, informally assigned prior probabilities and normalizing constants play an essential role in distinguishing causes from correlations and ignoring irrelevant associations that would otherwise be suggested by raw data. But since these initial probabilities often have a heterogeneous pedigree – often not all that went into their formation is known or knowable – it becomes difficult to cleanly separate evidence from values. At the same time, this reality does not undermine science’s unique status in generating knowledge. This is because it is not the evidence per se generated by science, but rather the method by which science generates it, that justifies science’s privileged role.     

A narratological methodology for identifying archetypal story patterns in autobiographical narratives

Based on Jung's definition of archetype the concept 'archetypal story pattern' is developed as well as a research method drawing on narrative analysis and biographical research to identify these archetypal story patterns in life stories. Jung pointed out that personal myths, archetypal patterns found, e.g., in mythology, can govern the life course of individuals unconsciously. In the Theory of Narrative Identity comparable concepts have been mentioned but were never fully developed. In my research I try to combine Jung's concept of the archetype with the elaborated methodology of narrative analysis. Archetypes can manifest as narratives and the identity construction of a person via narrating the life story can be influenced or even totally structured by archetypal stories which give a specific form as well as a specific meaning to the person's identity. The method of extracting an underlying archetypal pattern from an autobiographical narrative is demonstrated. The results of the research on 20 autobiographical interviews and the inherent archetypal patterns are summarized. The major aim of this paper is to describe in detail the application of a well established method of the social sciences on a key concept of Jungian psychology to show that these concepts can be integrated into recent research frameworks of academic sciences. On the other hand it shows that Jungian concepts can be investigated through established and well defined research methods in empirical research settings.