The Concept of Personal Network in Clinical Practice

The practice of clinicians in all the helping professions has undergone wide-ranging change in the past two decades. This change has been uneven and halting, but an essential aspect has been a movement toward a wider arena of practice, including a variety of social network practices. The concept of personal network holds high promise for becoming a major unifying framework in clinical practice: as an analytic viewpoint, as a schema for problem location, and as an arena of practice and research. This paper will review the developing strands of network practice, examine some of the forms and characteristics of personal networks, and consider several theoretical and practice issues.     

Suicide and blacks: a conceptual framework.

Suicide among black Americans has risen sharply in this decade. The suicide pattern differs from that of white Americans in that black suicide is mainly a youth phenomenon and the rates between black females and black males are relatively equal. The lack of research into these phenomena is highlighted along with an exploration of current explanations. A specific conceptual framework is proposed that includes extragroup pressure, intragroup pressure, and value orientation. The framework is extended into the area of mental health planning, as well as behavioral science practice.     

Social networks: A link between psychiatric epidemiology and community mental health

This paper examines the concept of social network as a mediating construct linking psychiatric epidemiology and community mental health. A selective review of studies investigating the structural and interactional features of the social networks of psychiatrically impaired persons is presented and the implications of their results are discussed. It is concluded that social networks provide a unifying framework potentially capable of linking empirical research with clinical practice.This work is supported in part by grant #AA03506-04 from the National Institute on Alcohol Abuse and Alcoholism.     

Redefining the science-practice relationship and professional training.

A revised conception of the relationship between psychological science and professional practice is proposed in the light of postmodern changes in perspectives on knowledge. Positivistic science, which has dominated the traditional interpretation of scientist-practitioner training, is considered from a constructivist point of view to be only one possible foundation of psychological knowledge. It is argued that the knowledge base of the profession should be derived with diverse methods and from multiple sources, including the knowledge of practice. The mutuality of science and practice is emphasized. An evolving framework for understanding the epistemology of practice, based on cognitive psychology, is presented. Emphasis on broadened choices of research methods, the development of reflective skills, and better linkage between teaching in the domains of research and practice are urged. Suggestions for research related to scientific training and the knowledge processes of practice are offered.     

Evaluating distributed cognition

Human beings are promiscuously social creatures, and contemporary epistemologists are increasingly becoming aware that this shapes the ways in which humans process information. This awareness has tended to restrict itself, however, to testimony amongst isolated dyads. As scientific practice ably illustrates, information-processing can be spread over a vast social network. In this essay, a credit theory of knowledge is adapted to account for the normative features of strongly distributed cognition. A typical credit theory analyzes knowledge as an instance of obtaining success because of or through the ability of the individual knower. The extended credit theory developed here broadens this framework so as to accommodate team-like epistemic achievements. The extended credit theory is then contrasted with some similar proposals given from within a process reliabilist framework. Once one isolates pairs of cases of distributed cognition in which there is a difference between sheer reliability and reliability grounded in ability, one can see that the extended credit theory maps the normative terrain better than the alternatives.     

PERSONNEL DEPARTMENT ACTIVITIES: CONSTITUENCY PERSPECTIVES AND PREFERENCES

The multiple constituency approach is proposed as a meaningful framework for analyzing the activities of the personnel department. A basic hypothesis on the differences in constituency preferences was empirically tested in 150 organizational units of three large organizations. Four constituencies were found to desire significantly different activities from the department. Minor contextual effects on the pattern of differences were also observed across the three organizations. Future research agendas and implications for practice based on the multiple constituency approach are discussed.     

Friendship Dissolution Within Social Networks Modeled Through Multilevel Event History Analysis

A social network perspective can bring important insight into the processes that shape human behavior. Longitudinal social network data, measuring relations between individuals over time, has become increasingly common—as have the methods available to analyze such data. A friendship duration model utilizing discrete-time multilevel survival analysis with a multiple membership random effect structure is developed and applied here to study the processes leading to undirected friendship dissolution within a larger social network. While the modeling framework is introduced in terms of understanding friendship dissolution, it can be used to understand microlevel dynamics of a social network more generally. These models can be fit with standard generalized linear mixed-model software, after transforming the data to a pair-period data set. An empirical example highlights how the model can be applied to understand the processes leading to friendship dissolution between high school students, and a simulation study is used to test the use of the modeling framework under representative conditions that would be found in social network data. Advantages of the modeling framework are highlighted, and potential limitations and future directions are discussed.     

New Directions in Sales Leadership Research

The changing environment facing sales organizations is characterized by the dimensions of complexity, collaboration, and accountability. Responding effectively to this dynamic environment requires a focus on specific leadership activities by senior sales leaders, field sales managers, and salespeople. A sales leadership framework is presented and used to identify and discuss specific leadership challenges and important research questions at different sales organization levels. Several new directions for sales leadership research are proposed to improve sales leadership thought and practice.     

The language of empathy: an analysis of its constitution, development, and role in psychoanalytic listening

Viewed from an epistemological perspective, empathy in psychoanalytic practice is described as that aspect of a specialized attentional stance that opens channels of interaction facilitating the formation of a trusting bond and enabling one to gain access to the emotional qualities of another's experience. A literature overview traces the origins of the concept in Freud and its role in psychoanalytic listening (including its controversial, divisive evolution in our field). Empathy is then examined from a semiotic-developmental framework. Its constitutional origins, differentiated forms, and distinctive purpose in clinical discourse are discussed. A developmental line is proposed, and clear distinctions are drawn between empathy in everyday life and its specialized technical application in clinical work.     

A critique of top-down independent levels models of speech production: Evidence from non-plan-internal speech errors

A number of speech errors are examined which are difficult to account for by top-down serial processing models of speech production which hove independent levels of processing. In particular, most of these errors are characterized by the presence of an interfering element which is external to the utterance under current construction. This paper has two main aims: to classify these errors, and to examine the constraints upon them. It is found that phonological similarity between the target and intrusion is a major determinant of error occurrence. The consequences for models of speech production are discussed in a framework consisting of the architecture and control structure of those models. A particular model to account for these data is proposed, consisting of a spreading activation lexical network.     

A joint modeling framework of responses and response times to assess learning outcomes

Abstract

A general modeling framework of response accuracy and response times is proposed to track skill acquisition and provide additional diagnostic information on the change of latent speed in a learning environment. This framework consists of two types of models: a dynamic response model that captures the response accuracy and the change of discrete latent attribute profile upon factors such as practice, intervention effects, and other latent and observable covariates, and a dynamic response time model that describes the change of the continuous response latency due to change of latent attribute profile. These two types of models are connected through a parameter, describing the change rate of the latent speed through the learning process, and a covariate defined as a function of the latent attribute profile. A Bayesian estimation procedure is developed to calibrate the model parameters and measure the latent variables. The estimation algorithm is evaluated through several simulation studies under various conditions. The proposed models are applied to a real data set collected through a spatial rotation diagnostic assessment paired with learning tools.     

Managerial competency modelling and the development of organizational psychology: A Chinese approach

In recent years, China has undergone rapid economic reform and dynamic organizational changes. Several major developments have given special momentum to those changes: China entering the WTO, opening the western regions of China, building up an information network, transforming new management systems nationwide, and encouraging innovations and entrepreneurship. These developments call for more comprehensive and adaptive competencies and new approaches to organizational psychology in China. This provides a national and cultural context of personnel assessment, selection, and development of organizational psychology. Organizational psychology is one of the most active fields for research and application in psychology in China. Three aspects of recent trends are described under a framework of managerial competency modelling. (1) Leadership competence assessment for personnel selection and development has become one of the key aspects of human resources (HR) management in China. Based upon the results from the structured interview and strategic hierarchical job analysis, a model of leadership competency with four dimensions of leadership characteristics and the managerial performance was proposed. The four dimensions are: psychological traits; leadership predispositions; managerial skills; and professional knowledge. (2) HR competency for person‐job‐organization fit. This includes competencies for compensation and motivational strategies, organizational commitment and career management competence, team competence, and group decision‐making skills. (3) Organizational competency for culture and change. This includes an integrative approach to link values with culture, and cross‐cultural leadership skills. On the basis of the recent practice and research developments, a Chinese approach to organizational psychology with important characteristics is summarized: active theoretical development and conceptualization; continuous methodological improvement; close link with HR and management practices; and systematic cross‐cultural socioeconomic perspective. This becomes a key framework for understanding organizational psychology. New directions for research and application in China are highlighted.     

An examination of the structure and nomological network of trainee reactions: a closer look at "smile sheets"

Although D. L. Kirkpatrick (1959, 1996) popularized the concept of trainee reactions over 40 years ago, few studies have critically examined trainees' reactions to learning events. In this article, research on mood and emotion is used to develop a theoretical framework for research on trainee reactions. Two studies examine the factor structure of reactions and their nomological network. In Study 1, 178 undergraduate and 101 graduate students listened to a computer-delivered multimedia lecture. Results suggest that (a) reactions can be conceptualized as hierarchical, with overall satisfaction explaining associations among distinct reaction facets (enjoyment, relevance, and technology satisfaction), and (b) reactions are predicted by trainee characteristics. In Study 2, 97 undergraduates experienced the same lecture in 1 of 3 randomly assigned delivery technologies. Reactions were influenced by technology and were related to learning process (engagement) and outcomes (intentions regarding delivery technology, content, and learning). Both studies support the theoretical framework proposed.     

Diffusion of Innovation Theory: A Bridge for the Research‐Practice Gap in Counseling

This article presents a diffusion of innovation theory‐based framework for addressing the gap between research and practice in the counseling profession. The author describes the nature of the research‐practice gap and presents an overview of diffusion of innovation theory. On the basis of the application of several major postulates of diffusion of innovation theory to the research‐practice gap, several theory‐based research practices and questions are proposed.     

Promoting teachers’ agency: reflective practice as transformative disposition

Reflective practice has been criticised for having become a standardised method in teacher education and on-the-job training, oftentimes following routines that more likely turn out to be self-affirming than to actually foster change. Also, reflective practice is still widely understood as an individual process. Both aspects are considered problematic and are addressed by employing an activity-theoretical approach that is suggested to be essentially compatible with an existentialist perspective on reflective practice as offered by Thompson and Pascal. Utilising the theory of expansive learning, formative interventionist methodology is proposed to provide a robust framework for developing collaborative and critical reflective practice, which in turn reveals the transformative potential of teachers’ agency, as illustrated by a study accompanying and supporting the development of an Austrian secondary school.     

Regularized Generalized Structured Component Analysis

Generalized structured component analysis (GSCA) has been proposed as a component-based approach to structural equation modeling. In practice, GSCA may suffer from multi-collinearity, i.e., high correlations among exogenous variables. GSCA has yet no remedy for this problem. Thus, a regularized extension of GSCA is proposed that integrates a ridge type of regularization into GSCA in a unified framework, thereby enabling to handle multi-collinearity problems effectively. An alternating regularized least squares algorithm is developed for parameter estimation. A Monte Carlo simulation study is conducted to investigate the performance of the proposed method as compared to its non-regularized counterpart. An application is also presented to demonstrate the empirical usefulness of the proposed method.     

Risk assessment of knowledge fusion in an innovation ecosystem based on a GA-BP neural network

The risk assessment of knowledge fusion in innovation ecosystems is directly related to these ecosystems’ success or failure. A back-propagation (BP) neural network optimized by a genetic algorithm (GA) is thus proposed to evaluate the risk of knowledge fusion in innovation ecosystems. First, an index system is constructed for evaluating the risk of knowledge fusion in innovation ecosystems, and data are collected by questionnaire for use as training data for the neural networks. To realize machine learning, 84 datasets were generated, of which 60 were used to train the network, and 24 were used to test the network in MATLAB (R2014b). Evaluation models were then constructed by the BP neural network and GA-BP neural network, and their accuracy was judged by comparing the evaluation value with the target value. The comparison shows that the GA-BP neural network has faster convergence speed and higher stability, can achieve the goal more often, and reduces the possibility of the BP neural network falling into a local optimum instead of reaching global optimization. The GA-BP neural network model for the knowledge fusion risk assessment of innovation ecosystems provides a new method for practice.     

A dual memory theory of the testing effect

A new theoretical framework for the testing effect—the finding that retrieval practice is usually more effective for learning than are other strategies—is proposed, the empirically supported tenet of which is that separate memories form as a consequence of study and test events. A simplest case quantitative model is derived from that framework for the case of cued recall. With no free parameters, that model predicts both proportion correct in the test condition and the magnitude of the testing effect across 10 experiments conducted in our laboratory, experiments that varied with respect to material type, retention interval, and performance in the restudy condition. The model also provides the first quantitative accounts of (a) the testing effect as a function of performance in the restudy condition, (b) the upper bound magnitude of the testing effect, (c) the effect of correct answer feedback, (d) the testing effect as a function of retention interval for the cases of feedback and no feedback, and (e) the effect of prior learning method on subsequent learning through testing. Candidate accounts of several other core phenomena in the literature, including test-potentiated learning, recognition versus cued recall training effects, cued versus free recall final test effects, and other select transfer effects, are also proposed. Future prospects and relations to other theories are discussed.     

A Classification Framework using a Diverse Intensified Strawberry Optimized Neural Network (DISON) for Clinical Decision-making

A novel classification framework for clinical decision making that uses an Extremely Randomized Tree (ERT) based feature selection and a Diverse Intensified Strawberry Optimized Neural network (DISON) is proposed. DISON is a Feed Forward Artificial Neural Network where the optimization of weights and bias is done using a two phase training strategy. Two algorithms namely Strawberry Plant Optimization (SPO) algorithm and Gradient-descent Back-propagation algorithm are used sequentially to identify the optimum weights and bias. The novel two phase training method and the stochastic duplicate-elimination strategy of SPO helps in addressing the issue of local optima associated with conventional neural networks. The relevant attributes are selected based on the feature importance values computed using an ERT classifier.Vertebral Column, Pima Indian diabetes (PID), Cleveland Heart disease (CHD) and Statlog Heart disease (SHD) datasets from the University of California Irvine machine learning repository are used for experimentation. The framework has achieved an accuracy of 87.17% for Vertebral Column, 90.92% for PID, 93.67% for CHD and 94.5% for SHD. The classifier performance has been compared with existing works and is found to be competitive in terms of accuracy, sensitivity and specificity. Wilcoxon test confirms the statistical superiority of the proposed method.     

The hyperreality of clinical ethics: A unitary theory and hermeneutics

Medical ethics nowadays is dominated by a conception of ethics as the application of moral theories and principles. This conception is criticized for its depreciation of the internal morality of medical practice and its narrow view of external morality. This view reflects both a lack of interest in the empirical realities of medicine and a neglect of the socio-cultural value-contexts of medical ethical issues, including the creative development of a broader philosophical framework for a practicable medical ethics. Several alternative approaches and conceptions have been proposed. The unified clinical ethics theory, developed by Graber and Thomasma, is an interesting attempt to synthesize these alternative approaches. It correctly identifies as the crucial problem the present disconnectedness of medical ethics from theoretical philosophy as well as the practice of medicine. In this paper, however, it is argued that the unitary theory should take more serious attention to the hermeneutic character of medicine as well as ethics. This implies that the unitary theory must in fact transform itself into aninterpretive clinical ethics theory. The theoretical characteristics and practical consequences of an interpretive theory of medical ethics are discussed in the present paper.