Using context to build semantics

Latent semantic analysis (LSA) is a model of knowledge representation for words. It works by applying dimension reduction to local co-occurrence data from a large collection of documents after performing singular value decomposition on it. When the reduction is applied, the system forms condensed representations for the words that incorporate higher order associations. The higher order associations are primarily responsible for any semantic similarity between words in LSA. In this article, a memory model is described that creates semantic representations for words that are similar in form to those created by LSA. However, instead of applying dimension reduction, the model builds the representations by using a retrieval mechanism from a well-known account of episodic memory.     

Using experiential optimization to build lexical representations

To account for natural variability in cognitive processing, it is standard practice to optimize a model’s parameters by fitting it to behavioral data. Although most language-related theories acknowledge a large role for experience in language processing, variability reflecting that knowledge is usually ignored when evaluating a model’s fit to representative data. We fit language-based behavioral data using experiential optimization, a method that optimizes the materials that a model is given while retaining the learning and processing mechanisms of standard practice. Rather than using default materials, experiential optimization selects the optimal linguistic sources to create a memory representation that maximizes task performance. We demonstrate performance on multiple benchmark tasks by optimizing the experience on which a model’s representation is based.

     

Entrepreneurship research and practice: a call to action for psychology

Entrepreneurship is a major source of employment, economic growth, and innovation, promoting product and service quality, competition, and economic flexibility. It is also a mechanism by which many people enter the society's economic and social mainstream, aiding culture formation, population integration, and social mobility. This article aims to illuminate research opportunities for psychologists by exposing gaps in the entrepreneurship literature and describing how these gaps can be filled. A "call to action" is issued to psychologists to develop theory and undertake empirical research focusing on five key topic areas: the personality characteristics of entrepreneurs, the psychopathology of entrepreneurs, entrepreneurial cognition, entrepreneurship education, and international entrepreneurship. Methodological issues are discussed and recommendations provided. It is shown that psychologists can help identify the factors that influence new venture creation and success and inform the construction of public policy to facilitate entrepreneurship.     

Evidence-based practice in psychology

The evidence-based practice movement has become an important feature of health care systems and health care policy. Within this context, the APA 2005 Presidential Task Force on Evidence-Based Practice defines and discusses evidence-based practice in psychology (EBPP). In an integration of science and practice, the Task Force's report describes psychology's fundamental commitment to sophisticated EBPP and takes into account the full range of evidence psychologists and policymakers must consider. Research, clinical expertise, and patient characteristics are all supported as relevant to good outcomes. EBPP promotes effective psychological practice and enhances public health by applying empirically supported principles of psychological assessment, case formulation, therapeutic relationship, and intervention. The report provides a rationale for and expanded discussion of the EBPP policy statement that was developed by the Task Force and adopted as association policy by the APA Council of Representatives in August 2005.     

A future for community psychology practice

Community psychology has never really looked at its practice as a profession, though many of us as students came to the field with high expectations that we could learn how to make a difference in communities. This article discussed what I think about community psychology practice and how I have tried to approach it. I thank and recognize several people: Paul Florin for his colleagueship, friendship and his contributions to what I have done in the field; Tom Wolff for never letting me give up on the field; Bob Newbrough for his consistent support, encouragement and as my teacher; and Julian Rappaport for his comments on an earlier draft. I thank my colleagues at Rutgers for helping make the dream come true. This article is dedicated to students, past, present, and future.     

The practice of humanitarian work psychology

Humanitarian work psychology (HWP) seeks to improve the welfare of workers who provide a broad range of support to survivors of calamities both natural and man-made. It is an emerging interdisciplinary field of practice spanning expertise from many psychological fields to promote decent work and safe work conditions for those at the forefront of acute disasters of any kind. Personnel functions and health and safety issues are critical to humanitarian service roles. Research is needed to best inform the practice of humanitarian work in a globalised world culture, including strategies to support the well-being of individuals that are involved in humanitarian work.     

Using computers in introductory psychology

This paper describes our experience during the past 2 years in establishing a computer-based laboratory for introductory psychology. Discussion includes selection of hardware; physical design of the laboratory; locating, reviewing, and selecting courseware; development of supplementary materials; operation and management of the laboratory; and integration of the laboratory into the curriculum. These factors are examined from the point of view of the decisions made, the difficulties encountered, and the lessons learned.     

Self psychology and its relationship to the practice of group psychotherapy

This article discusses self psychology as a theory of personality development and conceptual framework for diagnosing psychopathology. It seeks to show how specific components of this theory, including selfobjects, bipolar self, mirroring, tension arc, and nuclear self, can be compared with the "curative factors" of group psychotherapy, as presented by Yalom (1975). These include altruism, group cohesiveness, universality, interpersonal learning, guidance, and family reenactment. Existing literature is used to explain both theories and develop their synthesis.     

The transnational experience of sport psychology practitioners from training to practice

ObjectiveDespite a growing body of literature examining the migratory experiences of athletes, limited attention has been paid to the migratory experience of sport psychology practitioners (SPPs). This study explores SPPs’ experiences of transnational migration; specifically, for those who expatriated to receive their training and repatriated to begin their professional careers.DesignAdhering to consensual qualitative research methodology, we conducted a qualitative study using semi-structured interviews.MethodsFollowing criterion-based sampling, we interviewed six female and four male SPPs who worked in academic (n = 3), applied (n = 3), and governmental (n = 4) environments. We used an analytical procedure encompassing concurrent deductive and inductive processes.ResultsParticipants described their motivations for expatriation and repatriation. They shared the challenges and benefits they faced throughout their transnational experience, recognizing the value that this experience brought to their lives. In most cases, SPPs shared how their training abroad became a professional advantage, once repatriated. They also described how the process of repatriation was more challenging than expected due to personal and professional difficulties.ConclusionsParticipants highlighted the positive influence that their transnational experience had in their personal and professional lives. Their transnational experience helped them grow personally and professionally, and provided them with professional advantages. However, our participants’ stories also highlighted systematic barriers that professional organizations could address to facilitate the transnational experience of practitioners, which would subsequently enhance the cultural growth of the field. Recommendations for professionals engaging in similar transnational experiences are discussed.     

Using a model to compute the optimal schedule of practice

By balancing the spacing effect against the effects of recency and frequency, this paper explains how practice may be scheduled to maximize learning and retention. In an experiment, an optimized condition using an algorithm determined with this method was compared with other conditions. The optimized condition showed significant benefits with large effect sizes for both improved recall and recall latency. The optimization method achieved these benefits by using a modeling approach to develop a quantitative algorithm, which dynamically maximizes learning by determining for each item when the balance between increasing temporal spacing (that causes better long-term recall) and decreasing temporal spacing (that reduces the failure related time cost of each practice) means that the item is at the spacing interval where long-term gain per unit of practice time is maximal. As practice repetitions accumulate for each item, items become stable in memory and this optimal interval increases.     

Inexpensive techniques to improve education: Applying cognitive psychology to enhance educational practice

The need to improve the educational system has never been greater. People in congress and business argue for expensive technological applications to improve education despite a lack of empirical evidence for their efficacy. We argue that one inexpensive avenue for improving education has been largely ignored. Cognitive and educational psychologists have identified strategies that greatly improve learning and retention of information, and yet these techniques are not generally applied in education nor taught in education schools. In fact, teachers often use instructional practices known to be wrong (i.e., massing rather than interleaving examples to explain a topic). We identify three general principles that are inexpensive to implement and have been shown in both laboratory and field experiments to improve learning: (1) distribution (spacing and interleaving) of practice in learning facts and skills; (2) retrieval practice (via self testing) for durable learning; and (3) explanatory questioning (elaborative interrogation and self-explanation) as a study strategy. We describe each technique, provide supporting evidence, and discuss classroom applications. Each principle can be applied to most subject matters from kindergarten to higher education. Applying findings from cognitive psychology to classroom instruction is no panacea for educational problems, but it represents one helpful and inexpensive strategy.     

Using network science to analyze concept maps of psychology undergraduates

Network science is an emerging area of complexity science that uses mathematical techniques to study complex systems and could represent a new way of quantifying and investigating the internal structure of domain‐specific knowledge as approximated by students' concept maps. Students enrolled in introductory psychology constructed concept maps to represent their understanding of a psychology chapter. Concept networks were constructed based on the concept maps generated by students. Network analysis revealed that the structure of concept networks differed across students (i.e., some networks were better connected than others), and network structure significantly predicted quiz scores, such that concept networks with larger average shortest path lengths (a network metric representing the average of the shortest paths between two nodes in a network) were associated with higher quiz scores, after controlling for network size. This paper illustrates how network science techniques can be used to quantify the conceptual structure of a learner's knowledge.