Esther Williams and John Gottman describe a complete set of programs they have written in Fortran IV to enable even beginners to use all the techniques presented in John Gottman's Time-Series Analysis: A Comprehensive Introduction for Social Scientists. There are three packages, available on IBM card source desks from the authors, for (1) time and frequency domain model fitting, including detecting cycles, (2) forecasting and interrupted time-series analysis, and (3) multivariate time-series analysis, in both time and frequency domains. The packages have been tested for portability. Modification specific computers are noted in the guide.

This book assembles research findings accumulated over the span of half a century from the Jefferson Longitudinal Study (JLS). This study, initiated in 1970, is the most comprehensive, extensive, and uninterrupted longitudinal study of medical students and graduates maintained in a single medical school. The study was based on the conviction that medical schools have a social responsibility and ethical obligation to monitor the quality of their educational programs, to assess their educational outcomes, and to ensure that their educational goals have been achieved for the purposes of public safety. The JLS has resulted in a large number of publications in professional peer-reviewed journals and presentations in national and international meetings. Some medical schools have expressed interest in learning more about the JLS, requesting copies of the instruments we used in the study, information about how to set up a longitudinal study of medical education, and other needed resources. In response to a request from Academic Medicine [2011, 86(3), p. 404], we prepared and published in that journal a schematic snapshot of the JLS for those interested in a model for the development of a longitudinal study of medical students and graduates. The JLS is well-known to the medical education research communities. A recent Google search using keywords "Jefferson Longitudinal Study" resulted in 1,550,000 hits, an indication of its broad popularity among researchers. At the present time, the JLS database contains academic information, assessments, and educational and career outcomes for 13,343 medical students and graduates of Sidney Kimmel (formerly Jefferson) Medical College of Thomas Jefferson University. There are presently 502 variables in the JLS analytic database. This book presents a collection of 207 abstracts of major publications from peerreviewed journals, books, and book chapters in which data and information from the JLS were used. In this book, we classified the abstracts, based on their primary contents, into the following categories: Admissions of the Applicants to Medical School (e.g., standardized tests, academic preparation, other admission variables). Demographic Composition (e.g., gender, age, race/ethnicity). Performance Evaluations in Medical School (e.g., preclinical and clinical phases). Postgraduate and Career (e.g., assessment of clinical competence in residency training, career choice, specialization, professional activities). Psychosocial Attributes (e.g., personal qualities, indicators of physical and mental well-being). Professionalism (e.g., assessment of elements of professionalism in medicine, such as clinical empathy, attitudes toward interprofesssional collaboration, and orientation.

Carolyn Ellis is a prominent writer in the move toward personal, reflexive writing as an approach to academic research. In addition to her landmark books Final Negotiations and The Ethnographic I, she has authored numerous stories that demonstrate the emotional power and academic value of autoethnography. Now issued as a Routledge Education Classic Edition, Revision: Autoethnographic Reflections on Life and Work collects a dozen of Ellis's stories-about the loss of her husband, brother and mother; of growing up in small town Virginia; about the ethical work of the ethnographer; and about emotionally charged life issues such as abortion, caregiving, and love. Atop these captivating stories, she adds the component of meta-autoethography-a layering of new interpretations, reflections, and vignettes to her older work. A new preface text by the author reflects on the subsequent developments in the author's life and her vision for autoethnography since the book's original publication. Demonstrating Carolyn's extensive contribution to autoethnographic scholarship, this new edition offers compelling ideas and stories for qualitative researchers and a student-friendly text for courses.

Carolyn Ellis is a prominent writer in the move toward personal, reflexive writing as an approach to academic research. In addition to her landmark books Final Negotiations and The Ethnographic I, she has authored numerous stories that demonstrate the emotional power and academic value of autoethnography. Now issued as a Routledge Education Classic Edition, Revision: Autoethnographic Reflections on Life and Work collects a dozen of Ellis's stories-about the loss of her husband, brother and mother; of growing up in small town Virginia; about the ethical work of the ethnographer; and about emotionally charged life issues such as abortion, caregiving, and love. Atop these captivating stories, she adds the component of meta-autoethography-a layering of new interpretations, reflections, and vignettes to her older work. A new preface text by the author reflects on the subsequent developments in the author's life and her vision for autoethnography since the book's original publication. Demonstrating Carolyn's extensive contribution to autoethnographic scholarship, this new edition offers compelling ideas and stories for qualitative researchers and a student-friendly text for courses.

Polls are conducted every day all around the world for almost everything (especially during elections). But not every poll is a good one. A lot depends on the type of questions asked, how they are asked and whether the sample used is truly representative. And these are not the only aspects of a poll that should be checked. So how does one separate the chaff from the wheat? That's where Understanding Public Opinion Polls comes in. Written by a well-known author with over thirty years of experience, the book is built around a checklist for polls that describes the various aspects of polls to pay attention to if one intends to use its results. By comprehensively answering the questions in the checklist, a good idea of the quality of the poll is obtained. Features: Provides readers with a deeper understanding of practical and theoretical aspects of opinion polls while assuming no background in mathematics or statistics Shows how to determine if a poll is good or bad Provides a historical perspective and includes examples from real polls Gives special attention to online and election polls The book gives an overview of many aspects of polls - questionnaire design, sample selection, estimation, margins of error, nonresponse and weighting. It is essential reading for those who want to gain a better understanding of the ins and outs of polling including those who are confronted with polls in their daily life or work or those who need to learn how to conduct their own polls.

Researchers often have difficulties collecting enough data to test their hypotheses, either because target groups are small or hard to access, or because data collection entails prohibitive costs. Such obstacles may result in data sets that are too small for the complexity of the statistical model needed to answer the research question. This unique book provides guidelines and tools for implementing solutions to issues that arise in small sample research. Each chapter illustrates statistical methods that allow researchers to apply the optimal statistical model for their research question when the sample is too small. This essential book will enable social and behavioral science researchers to test their hypotheses even when the statistical model required for answering their research question is too complex for the sample sizes they can collect. The statistical models in the book range from the estimation of a population mean to models with latent variables and nested observations, and solutions include both classical and Bayesian methods. All proposed solutions are described in steps researchers can implement with their own data and are accompanied with annotated syntax in R. The methods described in this book will be useful for researchers across the social and behavioral sciences, ranging from medical sciences and epidemiology to psychology, marketing, and economics.

Traditional theories of associative learning have found no place for the possibility that an individual's perception of events might change as a result of experience. Evidence for the reality of perceptual learning has come from procedures unlike those studied by learning theorists. The work reviewed in this book shows that learned changes in perceptual organization can in fact be demonstrated, even in experiments using procedures (such as conditioning and simple discrimination learning) which form the basis of associative theories. These results come from procedures that have been the focus of detailed theoretical and empirical analysis; and from this analysis emerges an outline of the mechanisms responsible. Some of these are associative, others require the addition of nonassociative mechanisms to the traditional theory. The result is an extended version of associative theory which, it is argued, will be relevant not only to the experimental procedures discussed in this book but to the entire range of instances of perceptual learning. For psychologists interested in the basic mechanisms of conditioning, perception, and learning, this volume provides an up-to-date, critical review of the field.

This volume constitutes the proceedings of the third biennial conference of the International Society for Theoretical Psychology, held in Arnhem, the Netherlands, April 17-21, 1989. Fifty-six papers were presented during the four days of the conference, including an invited address by Professor A. D. de Groot, and seven papers composing two plenary sessions, four on the con tribution of history to theory, and three on theoretical alternatives for contem porary psychology. Of these, 46 papers are presented in the proceedings; all of which suffered editorial changes and, with the exception of the invited ad dress, were required to meet a 15 page restriction on length. The editors gratefully acknowledge John Mills, Leendert Mos, and Hank Starn for their invaluable editorial assistance. The papers included here are presented without discussants' commen taries. (Over 125 psychologists participated at the conference.) While the papers are representative of the scope of topics covered at the conference, the hours of formal and informal discussions must, unfortunately, be left to the reader's imagination. We encourage the reader to attend one of our next conferences, planned biennially, and alternately, in North America (1991) and Europe (1993)."

A collection of papers on the Oedipus complex, divided into three parts: theory, practice and supervision. The contributors, who include Joyce McDougall, Hanna Segal, Otto Kernberg and Leon Grinberg, invite the reader to explore with them the processes affecting the therapist's mind - and, occasionally his body - during psychoanalytic therapy, and the reasons why the therapist thinks, feels, and reacts in a particular way. The full significance of these processes, referred to as "counter-transference" since Freud's time, has recently been recognized, resulting in the therapist's use of additional resources so that he or she can understand and help the patient more effectively. In the 1950s and 1960s, Paula Heimann and Heinrich Racker, following on Freud's own observations, made important contributions to the study of the countertransference, considerably enlarging upon the concept and re-evaluating the nature of the psychoanalytic therapeutic relationship as a result.

Designing a research project is possibly the most difficult task a dissertation writer faces. It is fraught with uncertainty: what is the best subject? What is the best method? For every answer found, there are often multiple subsequent questions, so it's easy to get lost in theoretical debates and buried under a mountain of literature. This book looks at literature review in the process of research design, and how to develop a research practice that will build skills in reading and writing about research literature-skills that remain valuable in both academic and professional careers. Literature review is approached as a process of engaging with the discourse of scholarly communities that will help graduate researchers refine, define, and express their own scholarly vision and voice. This orientation on research as an exploratory practice, rather than merely a series of predetermined steps in a systematic method, allows the researcher to deal with the uncertainties and changes that come with learning new ideas and new perspectives. The focus on the practical elements of research design makes this book an invaluable resource for graduate students writing dissertations. Practicing research allows room for experiment, error, and learning, ultimately helping graduate researchers use the literature effectively to build a solid scholarly foundation for their dissertation research project.

Business, academia, industry, and the military require well trained personnel to function in highly complex working environments. To reduce high training costs and to improve the effectiveness of training, training system developers often use sophisticated training media such as, simulators, videodisks, and computer-based instruction. The designers of these training media are continually striving to provide maximum training effectiveness at minimum cost. Although literature is available on the implementation and use of specific training media, there is little guidance on a major feature that is central to these media. All of these media present the learner with an interactive simulation of the real world. Effective training system design can be facilitated if the requirements of the real-world task are properly included in training. A conceptual bridge is necessary to link these actual task requirements to the characteristics of the training system. This book provides such a conceptual bridge. The need for improved training is critical in the area of equipment operation, maintenance, and decision making tasks. For example, the importance of improved operator training in the nuclear power industry has become paramount since the Three Mile Island accident and the more serious accident at the Chernobyl reactor in the U. S. S. R. Technology, such as the availability and power of computers, offers a wider variety of training options, but requires additional training system design decisions

This book provides an overview of cutting-edge methods currently being used in cognitive psychology, which are likely to appear with increasing frequency in coming years. Once built around univariate parametric statistics, cognitive psychology courses now seem deficient without some contact with methods for signal processing, spatial statistics, and machine learning. There are also important changes in analyses of behavioral data (e.g., hierarchical modeling and Bayesian inference) and there is the obvious change wrought by the advancement of functional imaging. This book begins by discussing the evidence of this rapid change, for example the movement between using traditional analyses of variance to multi-level mixed models, in psycholinguistics. It then goes on to discuss the methods for analyses of physiological measurements, and how these methods provide insights into cognitive processing. New Methods in Cognitive Psychology provides senior undergraduates, graduates and researchers with cutting-edge overviews of new and emerging topics, and the very latest in theory and research for the more established topics.

This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc. The sixth edition has been updated with a new chapter on data visualization, a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians. Key Features: Provides a comprehensive, practical and accessible introduction to multivariate analysis. Keeps mathematical details to a minimum, so particularly geared toward a non-statistical audience. Includes lots of detailed worked examples, guidance on computing, and exercises. Updated with a new chapter on data visualization.

In this book I pursue three goals. The first is to describe what has been learned about human freedom through psychological research. The second is to provide a conceptual and methodological critique of the large body of that research which has been conducted within the framework of a positivist natural science ex perimental social psychology. My third goal is to offer a contrasting human science approach to the study of human freedom and to illustrate its use in empirical study. For more than twenty years psychologists have inves tigated the conditions under which people are seen to be free, the conditions under which they report feeling free, the psychological consequences of interference with be havioural freedoms, and to a lesser extent, how it feels to feel free. Empirical fmdings on each of these facets of human freedom have arisen in quite separate research traditions, and they are brought together here for the first time. During the same twenty years, a general critique of the dominant positivist natural science approach to complex human phenomena has been growing. Although it has escalated recently, this critique has fIrm roots that go back to the turn of the century. I review this general critique and apply it specifically to the study of human freedom - surely a complex human phenomenon, more complex, ambiguous, and paradoxical than most of us im agine."

Proposing Empirical Research: A Guide to the Fundamentals provides step-by-step instructions for students who will be writing their first research proposal in the social and behavioral sciences and using both quantitative and qualitative methods. The structure of the book enables students to work independently with confidence while writing the first drafts of their proposals. Each major section is divided into short topics and for each topic, students are asked to complete an exercise that leads them toward the goal of preparing a proposal. Numerous illustrative examples throughout the book make the recommendations for proposal writing come alive. In addition, the 10 model proposals provided at the end of the book illustrate proposal writing and provide material for classroom discussions. New to the Sixth Edition: Updates throughout to reflect research and learning in the digital/online environment, e.g., online surveys, digital organization tools, digital recruitment methods for research, and digital databases, records, and archives. Discussion of qualitative methods. Updated references, model proposals, end of chapter exercises etc. Proposing Empirical Research is ideal for use in research methods classes where students write a proposal as a term project, thesis/dissertation preparation classes, senior research seminars where proposing and conducting research is a culminating undergraduate activity, and any graduate-level seminar in which the instructor wants to incorporate a project that will engage students in critical thinking about the content area.

This volume constitutes the proceedings of the second biannual conference of the International Society for Theoretical Psychology (see Epilogue) held in Banff, Alberta, Canada, April 20-25, 1987. Thirty-nine papers were presented during the four days of the conference including an invited address by Kenneth Gergen. Unfortunately, even after severely restricting the length of the written papers, the required limitation on printed space permitted only 34 of these to be included in these proceed ings. While most of the papers required editorial adjustment, the authors had final word on style and content. The classification of conference papers tends to be somewhat arbi trary' but we decided to structure the chapters under four headings: phi losophy, metatheory, methodology, and theory. By philosophy we refer primarily to issues in the philosophy of science as these pertain to the dis cipline of psychology. Metatheory refers to theory, drawing on the philo sophy of science and having implications for methodology, about psycho logical theories. Methodology refers to both theory of inquiry and specif ic methods of investigation as these derive from philosophical and meta theoretical considerations. By theory we refer to both analyses of the foundations of extant theory, including historical and sociological ana lyses, and the advancement of substantive theory."

In the context of interpersonal interaction, it is possible to characterize human beings as complex sources of information. When interacting with one another, people in tentionally, as well as unintentionally, emit cues which other people can use as a basis for generating inferences and forming impressions about them. As a rule, the informa tion that one receives about another person is complex, mutable, and multidimensional. Often, it is contradictory. One of the more enduring lines of investigation in social psychology has been concerned with understanding the processes whereby people mold such diverse information into a single, unified impression. The linear approach The most influential approach to this issue in recent years has been Anderson's information integration theory (e. g. , Anderson, 1974). The goal of this approach to im pression formation is the formulation of an algebraic model which describes the relation between stimulus input charac teristics and reported judgments. According to information integration theory, a stimulus is characterized hy two parameters: scale value and weight. The scale value of a stimulus represents the perceiver's subjective response to the information on the dimension of judgment (e. g. , good-bad, light-heavy, like-dislike). The weight of a stimulus is its importance or relevance to the judgment. It is perhaps best conceptualized as the proportion that each element of a compound stimulus contributes to the overall evaluation of the compound.

Comprehensive, systematic, and balanced, Systems of Psychotherapy uses a wealth of clinical cases to help readers understand a wide variety of psychotherapies - including psychodynamic, existential, experiential, interpersonal, exposure, behavioral, cognitive, third wave, systemic, multicultural, and integrative. The ninth edition of this landmark text thoroughly analyzes 15 leading systems of psychotherapy and briefly surveys another 32, providing students and practitioners with a broad overview of the discipline. The book explores each system's theory of personality, theory of psychopathology, and resulting therapeutic process and therapy relationship. Through these explorations the authors clearly demonstrate how psychotherapy systems agree on the processes producing change while diverging on the elements in need of change. Additionally, the authors present cogent criticisms of each approach from cognitive-behavioral, psychoanalytic, humanistic, cultural, and integrative perspectives. This ninth edition features updated meta-analytic reviews of the effectiveness of each system, new sections on Lacanian analysis, mentalization therapy, and psychotherapy with gender nonconforming people, as well as new sections and updates throughout the text.

Big Data for Qualitative Research covers everything small data researchers need to know about big data, from the potentials of big data analytics to its methodological and ethical challenges. The data that we generate in everyday life is now digitally mediated, stored, and analyzed by web sites, companies, institutions, and governments. Big data is large volume, rapidly generated, digitally encoded information that is often related to other networked data, and can provide valuable evidence for study of phenomena. This book explores the potentials of qualitative methods and analysis for big data, including text mining, sentiment analysis, information and data visualization, netnography, follow-the-thing methods, mobile research methods, multimodal analysis, and rhythmanalysis. It debates new concerns about ethics, privacy, and dataveillance for big data qualitative researchers. This book is essential reading for those who do qualitative and mixed methods research, and are curious, excited, or even skeptical about big data and what it means for future research. Now is the time for researchers to understand, debate, and envisage the new possibilities and challenges of the rapidly developing and dynamic field of big data from the vantage point of the qualitative researcher.

Technology Applications in School Psychology Consultation, Supervision, and Training explores the ways in which the field of school psychology is using technological innovations to support and improve graduate student training and supervision, as well as school consultation. Chapters based on current research and written by experts address the integration of telehealth tools and strategies such as telepresence robots, bug-in-the-ear devices, videoconferencing, virtual platforms, and more, including a section dedicated to navigating practical, ethical, and legal concerns. Throughout, the volume engages with relevant considerations relating to data management, professional standards, and regulatory guidelines. This is a comprehensive and up-to-date resource for all those looking to understand the place and potential of established and emerging technologies within school psychology training and practice.

Quantitative consumer research has long been the backbone of consumer psychology producing insights with peerless validity and reliability. This new book addresses a broad range of approaches to consumer psychology research along with developments in quantitative consumer research. Experts in their respective fields offer a perspective into this rapidly changing discipline of quantitative consumer research. The book focuses on new techniques as well as adaptations of traditional approaches and addresses ethics that relate to contemporary research approaches. The text is appropriate for use with university students at all academic levels. Each chapter provides both a theoretical grounding in its topic area and offers applied examples of the use of the approach in consumer settings. Exercises are provided at the end of each chapter to test student learning. Topics covered are quantitative research techniques, measurement theory and psychological scaling, mapping sentences for planning and managing research, using qualitative research to elucidate quantitative research findings, big data and its visualization, extracting insights from online data, modeling the consumer, social media and digital market analysis, connectionist modeling of consumer choice, market sensing and marketing research, preparing data for analysis;, and ethics. The book may be used on its own as a textbook and may also be used as a supplementary text in quantitative research courses.

The Handbook of Research Methods in Human Memory presents a collection of chapters on methodology used by researchers in investigating human memory. Understanding the basic cognitive function of human memory is critical in a wide variety of fields, such as clinical psychology, developmental psychology, education, neuroscience, and gerontology, and studying memory has become particularly urgent in recent years due to the prominence of a number of neurodegenerative diseases, such as Alzheimer's. However, choosing the most appropriate method of research is a daunting task for most scholars. This book explores the methods that are currently available in various areas of human memory research and serves as a reference manual to help guide readers' own research. Each chapter is written by prominent researchers and features cutting-edge research on human memory and cognition, with topics ranging from basic memory processes to cognitive neuroscience to further applications. The focus here is not on the "what," but the "how"-how research is best conducted on human memory.

This groundbreaking book provides students and researchers with a unique overview of the longitudinal study of the development of young people from the ages of 12 to 25. It offers a comprehensive introduction into the multiple theories on the development of the self, personal relationships and psychopathology in adolescence, alongside a non-statistical overview of the many longitudinal models used to study development. The book includes key topics such as the development of the self, adolescent identity and personality; the development of parent-adolescent relationships; friendships and the understanding of others; and the development of psychosocial problems such as anxiety, depression, delinquency, aggression, and substance use. Meeus highlights multiple findings showing how these processes are integrated and identifies eight fundamental patterns of adolescent development to help determine why most adolescents develop into mature and organized individuals towards the end of this life stage, whilst a substantial minority show an inability to mature. It is essential reading for graduate students and researchers in adolescent development and anyone seeking to use longitudinal research methodology in the social and behavioral sciences.