AFFECT,SYMPTOM, FANTASY,DREAM: CLINICAL AND THEORETICAL CONSIDERATIONS

A symptom being studied in the process of analysis can be seen as not unlike the unconscious affect it sprang from. The author presents a case in which a symptom, premature ejaculation, was analogous to the unconscious affect of guilt, which itself seemed to be a premature defensive transformation of a deeper current of anger. Guilt was interpreted as if it were a psychic premature ejaculation, a defensive derailment of anger. Fantasy and dream seemed to be engaged in similar transformations, with a fantasy of “premature incarceration” not unlike the symptom itself in its analogous functioning. Analysis of affect, symptom, fantasy, and dream in complex, integrative analytic process led not only to resolution of the symptom itself, but also to a deeper understanding of the mind's complex functioning in general.     

Heteroscedasticity as a Basis of Direction Dependence in Reversible Linear Regression Models

Heteroscedasticity is a well-known issue in linear regression modeling. When heteroscedasticity is observed, researchers are advised to remedy possible model misspecification of the explanatory part of the model (e.g., considering alternative functional forms and/or omitted variables). The present contribution discusses another source of heteroscedasticity in observational data: Directional model misspecifications in the case of nonnormal variables. Directional misspecification refers to situations where alternative models are equally likely to explain the data-generating process (e.g., x → y versus y → x). It is shown that the homoscedasticity assumption is likely to be violated in models that erroneously treat true nonnormal predictors as response variables. Recently, Direction Dependence Analysis (DDA) has been proposed as a framework to empirically evaluate the direction of effects in linear models. The present study links the phenomenon of heteroscedasticity with DDA and describes visual diagnostics and nine homoscedasticity tests that can be used to make decisions concerning the direction of effects in linear models. Results of a Monte Carlo simulation that demonstrate the adequacy of the approach are presented. An empirical example is provided, and applicability of the methodology in cases of violated assumptions is discussed.     

Modeling Information Content Via Dirichlet-Multinomial Regression Analysis

Shannon entropy is being increasingly used in biomedical research as an index of complexity and information content in sequences of symbols, e.g. languages, amino acid sequences, DNA methylation patterns and animal vocalizations. Yet, distributional properties of information entropy as a random variable have seldom been the object of study, leading to researchers mainly using linear models or simulation-based analytical approach to assess differences in information content, when entropy is measured repeatedly in different experimental conditions. Here a method to perform inference on entropy in such conditions is proposed. Building on results coming from studies in the field of Bayesian entropy estimation, a symmetric Dirichlet-multinomial regression model, able to deal efficiently with the issue of mean entropy estimation, is formulated. Through a simulation study the model is shown to outperform linear modeling in a vast range of scenarios and to have promising statistical properties. As a practical example, the method is applied to a data set coming from a real experiment on animal communication.     

Individual ambidexterity: the duality of exploration and exploitation and its relationship with innovative performance

Organizational ambidexterity has been established as an important antecedent of organizational innovation and performance. Recently, researchers have started to argue that ambidexterity is not only essential at the organizational, but also at the individual level. Thus, to be innovative, individuals need to engage in both explorative and exploitative behaviours. However, questions remain regarding the optimal balance of explorative and exploitative behaviours and how ambidexterity can be operationalized. At the organizational level, most empirical research utilized either the difference between, or the product of, exploration and exploitation. In this article, we criticize these approaches on conceptual and methodological grounds and argue for an alternative operationalization of ambidexterity: polynomial regression and response surface methodology. In two diary studies with daily and weekly data, we demonstrate the advantages of this approach. We discuss implications for ambidexterity research and innovation practice.     

Regression in Autistic Spectrum Disorders

A significant proportion of children diagnosed with Autistic Spectrum Disorder experience a developmental regression characterized by a loss of previously-acquired skills. This may involve a loss of speech or social responsitivity, but often entails both. This paper critically reviews the phenomena of regression in autistic spectrum disorders, highlighting the characteristics of regression, age of onset, temporal course, and long-term outcome. Important considerations for diagnosis are discussed and multiple etiological factors currently hypothesized to underlie the phenomenon are reviewed. It is argued that regressive autistic spectrum disorders can be conceptualized on a spectrum with other regressive disorders that may share common pathophysiological features. The implications of this viewpoint are discussed.     

降纤酶治疗急性脑梗死的临床疗效评价

采用随机同期对照的临床研究方法,对发病在24h内的90例急性脑梗死患者,分别进行降纤酶与常规治疗方法的治疗,观察其疗效,应用Logistic回归分析方法进行评价。结果显示,降纤酶可降低血浆纤维蛋白原的水平,有效地促进神经功能恢复,改善急性脑梗死患者的临床症状,有着与常规治疗方法相同的临床疗效。     

The educational boundary1

In this contribution, the authors defi ne and discuss the educational boundary in analytic training, which they believe is an often neglected and useful concept in psychoanalytic education. The framework on which their discussion rests includes the recent attention of psychoanalysts to issues of boundaries and ethics. Their understanding of how clinical work affects the mind of the analyst educator, as well as the ways the personalities of various analysts affect their dealings with faculty peers and students, are the other cornerstones of their discussion. The authors contend that many of the institutional problems encountered in the training of analysts can be better understood when viewed through the prism of the educational boundary. They present examples which illustrate several of the ways psychoanalytic educators complicate the training experience of candidates, offer specifi c explanations as to why analysts struggle as they try to manage their educational interventions, and indicate in a discussion of potential remedies that those behaviors might be avoided if the educational boundary is in focus. They also provide an example of how the educational boundary can be more effectively managed.     

On the edge: The psychoanalyst's transference1

Countertransference is a central topic in analytic work and in the literature. The concept of countertransference includes a basic question which has been understood in different ways. The author attempts to differentiate between the psychoanalyst's transference and his countertransference in the analytic process. It is hard to draw a line between them; analysts are always on the edge. The analyst's transference will be explored and described using three approaches: narcissism, regression profile and the analyst's phase of life. Regression profile is a new concept developed by the author, which may help us to understand the core of the analyst's transference in the analytic situation. She illustrates the topic by clinical vignettes.     

In Spite of Indeterminacy Many Common Factor Score Estimates Yield an Identical Reproduced Covariance Matrix

It was investigated whether commonly used factor score estimates lead to the same reproduced covariance matrix of observed variables. This was achieved by means of Schönemann and Steiger’s (1976) regression component analysis, since it is possible to compute the reproduced covariance matrices of the regression components corresponding to different factor score estimates. It was shown that Thurstone’s, Ledermann’s, Bartlett’s, Anderson-Rubin’s, McDonald’s, Krijnen, Wansbeek, and Ten Berge’s, as well as Takeuchi, Yanai, and Mukherjee’s score estimates reproduce the same covariance matrix. In contrast, Harman’s ideal variables score estimates lead to a different reproduced covariance matrix.