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Books > Social sciences > Psychology > Psychological methodology
This book describes mindfulness and meditation practices and programs for adolescents by situating the topic in a bio-psychosocial-cultural approach. Using this framework, the benefits of these practices and programs for adolescents- with an emphasis on evidence-based practices-are explored. In addition to programs based on mindfulness, meditation programs using Transcendental Meditation, Herbert Benson's Relaxation Response, and the Center for Mind Body Medicine's group programs are discussed. The book is targeted toward educators, mental health professionals, researchers, and graduate students interested in the application, development, and study of mindfulness and meditation practices and programs for adolescents.
This volume explores interdependencies between knowledge, action, and space from different interdisciplinary perspectives. Some of the contributors discuss knowledge as a social construct based on collective action, while others look at knowledge as an individual capacity for action. The chapters contain theoretical frameworks as well as experimental outcomes. Readers will gain insight into key questions such as: How does knowledge function as a prerequisite for action? Why are knowledge gaps growing and not diminishing in a knowledge society? How much knowledge is necessary for action? How do various types of knowledge influence the steps from cognition to action? How do different representations of knowledge shape action? What impact have spatial conditions for the formation of knowledge? What is the relationship between social and geographical space? The contributors consider rationality in social and economic theories as well as in everyday life. Attention is also given to action theoretic approaches and rationality from the viewpoints of psychology, post-structuralism, and human geography, making this an attractive book for students, researchers and academics of various backgrounds. This book is open access under a CC BY 4.0 license.
What are the changes we see over the life-span? How can we explain them? And how do we account for individual differences? This volume continues to examine these questions and to report advances in empirical research within life-span development increasing its interdisciplinary nature. The relationships between individual development, social context, and historical change are salient issues discussed in this volume, as are nonnormative and atypical events contributing to life-span change.
Scaling Methods is written for professionals in the behavioral sciences who analyze data that results from subjective responses. Other books on scaling attitudes or measuring perceptions focus on the psychometrician's view of measurement. This book focuses on the users' view by concentrating on effective ways to analyze data rather than the mathematical details of how each program works. The methods included handle the majority of data analysis problems encountered and are accompanied by a software solution. Each chapter features the theory surrounding that methodology, an example, a real-world application, and a computer solution. This book introduces the major uni- and multi-dimensional scaling method techniques most common in educational, social, and psychological research. Using four primary methods of data collection--ordering, categorical rating, free clustering, and similarity judgments--Scaling Methods, Second Edition explains how such data can be represented in ways that illustrate relationships among the data and help reveal underlying dimensional structures. Each method serves as an independent unit so readers can pick and choose from a variety of easy-to-use procedures and more advanced techniques. The new edition features a new chapter on order analysis and downloadable resources that provide stand-alone, as well as SAS supported demonstrations of multi-dimensional scaling techniques, plus programs to get raw data into matrix form. The text is written for researchers, practitioners, and advanced students in education and the social and behavioral sciences interested in analyzing data resulting from subjective responses, especially in the measurement of attitudes. Each chapter is self-contained making this an excellent resource for use in the classroom or as a self-study tool. A first course in statistics is a helpful prerequisite.
First published in 1993. This book is intended for managers and occupational psychologists involved in the selection and assessment of the workforce. It details the history and development of the use of biographical data for both recruitment and promotion of employees. Grounded in relevant research literature, it offers a comprehensive analysis of the advantages and disadvantages of biodata in different contexts. It also includes examples of applications and recommendations for use, as well as examples of questionnaires. Written by experts, it represents a wide-ranging review of the contemporary research in the field. This work will be of interest to students of business and psychology.
This second edition presents the core fundamentals of the subject in 11 manageable chapters while maintaining the book's scientific integrity. The research methods students need to understand, interpret, and analyze social psychological research are emphasized throughout. The streamlined approach provides an economical textbook for students and a flexible format that allows instructors to cover the entire book in a single semester. A book specific Web site contains a free online study guide and a variety of teaching tools. An Instructor's Manual/Test Bank and a Computerized Test Bank are also available.
A greatly expanded and heavily revised second edition, this popular guide provides instructions and clear examples for running analyses of variance (ANOVA) and several other related statistical tests of significance with SPSS. No other guide offers the program statements required for the more advanced tests in analysis of variance. All of the programs in the book can be run using any version of SPSS, including versions 11 and 11.5. A table at the end of the preface indicates where each type of analysis (e.g., simple comparisons) can be found for each type of design (e.g., mixed two-factor design). Providing comprehensive coverage of the basic and advanced topics in ANOVA, this is the only book available that provides extensive coverage of SPSS syntax, including the commands and subcommands that tell SPSS what to do, as well as the pull-down menu point-and-click method (PAC). Detailed explanation of the syntax, including what is necessary, desired, and optional helps ensure that users can validate the analysis being performed. The book features the output of each design along with a complete explanation of the related printout. The new edition was reorganized to provide all analysis related to one design type in the same chapter. It now features expanded coverage of analysis of covariance (ANCOVA) and mixed designs, new chapters on designs with random factors, multivariate designs, syntax used in PAC, and all new examples of output with complete explanations. The new edition is accompanied by downloadable resources with all of the book's data sets, as well as exercises for each chapter. This book is ideal for readers familiar with the basic concepts of the ANOVA technique including both practicing researchers and data analysts, as well as advanced students learning analysis of variance.
Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools presents classical and modern statistical tools used in item response theory (IRT). While IRT heavily depends on the use of statistical tools for handling its models and applications, systematic introductions and reviews that emphasize their relevance to IRT are hardly found in the statistical literature. This second volume in a three-volume set fills this void. Volume Two covers common probability distributions, the issue of models with both intentional and nuisance parameters, the use of information criteria, methods for dealing with missing data, and model identification issues. It also addresses recent developments in parameter estimation and model fit and comparison, such as Bayesian approaches, specifically Markov chain Monte Carlo (MCMC) methods.
The distinguishing feature of experimental psychology is not so much the nature of its theories as the methods used to test their validity. The first edition of Experimental Design and Statistics provided a clear and lucid introduction to these methods and the statistical techniques which support them. For this new edition the text has been revised, the coverage of two-sample tests has been extended, and new sections have been added introducing one-sample tests, linear regression and the product-moment correlation coefficient. Problems associated with the applications of experimental design and how to use observations of behaviour in research are key questions for all introductory students of psychology. This new and expanded edition provides them with an invaluable text and source.
Occupational health psychology (OHP) involves the application of psychology to improving the quality of work life and to promoting and protecting the safety, health and well-being of employees. Achieving these aims requires researchers and practitioners to possess in-depth knowledge of the processes that are presumed to bring about the desired outcomes. To date, most studies in OHP have relied on cross-sectional designs in examining these processes. In such designs all variables of interest are measured simultaneously. Although this has generated useful insights in how particular phenomena are associated, such designs cannot be trusted when it comes to drawing causal inferences: association is not causation. This book therefore focuses on longitudinal research designs in OHP, whereby the concepts of interest are measured several times, offering much stronger evidence for causal relationships. The authors focus on design issues in longitudinal research (such as the number of measurements chosen, and the length of the time lags between these measurements), and illustrate these issues in the context of applied research on topics such as the work-family interface, conflict at work, and employee well-being. By doing so this volume provides a state-of-the-art overview of current research in OHP, both in terms of its findings and methodologies. This book is based on a special issue of the journal Work & Stress.
Stata for the Behavioral Sciences, by Michael Mitchell, is the ideal reference for researchers using Stata to fit ANOVA models and other models commonly applied to behavioral science data. Drawing on his education in psychology and his experience in consulting, Mitchell uses terminology and examples familiar to he reader as he demonstrates how to fit a variety of models, how to interpret results, how to understand simple and interaction effects, and how to explore results graphically. Although this book is not designed as an introduction to Stata, it is appealing even to Stata novices. Throughout the text, Mitchell thoughtfully addresses any features of Stata that are important to understand for the analysis at hand. He also is careful to point out additional resources such as related videos from Stata's YouTube channel. This book is an easy-to-follow guide to analyzing data using Stata for researchers in the behavioral sciences and a valuable addition to the bookshelf of anyone interested in applying ANOVA methods to a variety of experimental designs.
The heart of this book is the translation of The Life Space of the Urban Child, written in 1935 by Martha and Hans Heinrich Muchow. Life Space provides a fresh look at children as actors and how they absorb their city environments. It uses an empirical base connected with theories about the worlds in which children live. The first section provides historical background on Muchow's study and the author. The second section presents the translation of the Life Space study, as well as comments from an environmental psychologist's perspective. The third section reviews the study's theoretical foundations, including the concept of "critical personalism," the perspectives of phenomenology, and the notion of Umwelt (environment). The last section addresses various lines of research developed from the Life Space study, including Muchow's work in describing children in urban environments, methodological approaches, and the significance of space in social science and educational contexts. The manner in which Martha Muchow conducted her studies is itself of note. She obtained access to the children in their environments and combined observation with cartographies and essays produced by the children. This approach was new at the time and continues to inspire researchers today. This volume is the latest work in Transaction's History and Theory of Psychology series.
This book presents a framework for development, optimization, and evaluation of behavioral, biobehavioral, and biomedical interventions. Behavioral, biobehavioral, and biomedical interventions are programs with the objective of improving and maintaining human health and well-being, broadly defined, in individuals, families, schools, organizations, or communities. These interventions may be aimed at, for example, preventing or treating disease, promoting physical and mental health, preventing violence, or improving academic achievement. This volume introduces the multiphase optimization strategy (MOST), pioneered at The Methodology Center at the Pennsylvania State University, as an alternative to the classical approach of relying solely on the randomized controlled trial (RCT). MOST borrows heavily from perspectives taken and approaches used in engineering, and also integrates concepts from statistics and behavioral science, including the RCT. As described in detail in this book, MOST consists of three phases: preparation, in which the conceptual model underlying the intervention is articulated; optimization, in which experimentation is used to gather the information necessary to identify the optimized intervention; and evaluation, in which the optimized intervention is evaluated in a standard RCT. Through numerous examples, the book demonstrates that MOST can be used to develop interventions that are more effective, efficient, economical, and scalable. Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy is the first book to present a comprehensive introduction to MOST. It will be an essential resource for behavioral, biobehavioral, and biomedical scientists; statisticians, biostatisticians, and analysts working in epidemiology and public health; and graduate-level courses in development and evaluation of interventions.
This book introduces a new topic; a critical researched-based analysis of the role of human judgment in social policy formation. It applies what has been learned from research on human judgment to specific examples - from the Challenger disaster to present-day debates on health care. Human judgment can be a source of both hope and fear in the creation of social policy. Yet this important process has rarely been examined because research on human judgment has been scarce. Now, however, the results of 50 years of empirical work offer an unprecedented opportunity to examine human judgment and the basis of our hopes and fears. Numerous examples from law, medicine, engineering, and economics are used throughout to demonstrate these and other features of human judgment in action.
Originally published in 1983 and written in the tradition of the British School of Psychology, Spearman, Burt, Eysenck, Cattell, this book from a well-known author was exceptional at the time in its attempt to wed quantification and psychological theory in the study of personality. The student is presented with a discussion of the different methods of measuring personality and the various findings which have been made. The results are then discussed in the light of psychological theories of personality and here the author stresses the need for a theory with a properly quantified bias. However, the emphasis on findings from measurement and not the measurement itself makes the book psychological, truly about personality and not simply another text on psychological measurement.
Originally published in 1992, the editors of this volume fulfill three main goals: to take stock of progress in the development of data-analysis procedures for single-subject research; to clearly explain errors of application and consider them within the context of new theoretical and empirical information of the time; and to closely examine new developments in the analysis of data from single-subject or small n experiments. To meet these goals, this book provides examples of applicable single-subject research data analysis. It presents a wide variety of topics and perspectives and hopes that readers will select the data-analysis strategies that best reflect their methodological approaches, statistical sophistication, and philosophical beliefs. These strategies include visual analysis, nonparametric tests, time-series experiments, applications of statistical procedures for multiple behaviors, applications of meta-analysis in single-subject research, and discussions of issues related to the application and misapplication of selected techniques.
Winner of the 2015 Sugiyama Meiko Award (Publication Award) of the Behaviormetric Society of Japan Developed by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least squares path modeling. Generalized structured component analysis allows researchers to evaluate the adequacy of a model as a whole, compare a model to alternative specifications, and conduct complex analyses in a straightforward manner. Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling provides a detailed account of this novel statistical methodology and its various extensions. The authors present the theoretical underpinnings of generalized structured component analysis and demonstrate how it can be applied to various empirical examples. The book enables quantitative methodologists, applied researchers, and practitioners to grasp the basic concepts behind this new approach and apply it to their own research. The book emphasizes conceptual discussions throughout while relegating more technical intricacies to the chapter appendices. Most chapters compare generalized structured component analysis to partial least squares path modeling to show how the two component-based approaches differ when addressing an identical issue. The authors also offer a free, online software program (GeSCA) and an Excel-based software program (XLSTAT) for implementing the basic features of generalized structured component analysis.
This exceptionally readable and down-to-earth handbook is destined to become the definitive guide to psychobiological research, the application of psychological theory and research to individual lives of historical importance. It brings together for the first time the world's leading psychobiographers, writing lucidly on many of the major figures of our age - from Osama Bin Laden to Elvis Presley. The first section of the book addresses the subject of how to construct an effective psychobiography. Editor William Todd Schultz introduces the field, provides valuable definitions of good and bad psychobiography, discusses an optimal structure for psychobiographical essays, and offers a blueprint for striking psychological paydirt in biographical data. Dan McAdams explores the question of what psychobiographers might learn from current research in personality psychology. Alan Elms delivers wise advice on the tricky subject of theory choice in psychobiography. William Runyan asks why Van Gogh cut off his ear, and in the process explains how one evaluates competing interpretations of the same event in a subject's life. And Kate Isaacson describes a template for use in multiple-case psychobiography. Never before has method in psychobiography been so clearly and explicitly addressed. Those just getting started in the field will find in Section One a detailed roadmap for success. The remaining sections of the book are composed of richly engaging case studies of famous artists, psychologists and politicians. They address compelling questions such as: What are the subjective origins of photographer Diane Arbus's obsession with freaks? In what ways did the early loss of Sylvia Plath's father affect her poetry and presage her suicide? Why did Elvis experience such difficulty singing the song "Are You Lonesome Tonight"? What accounts for Bin Laden' radicalism, Kim Jong II's paranoia, George W Bush's conflict with identity? Why did Freud go disasterously astray in his analysis of Leonardo? What made psychologist Gordon Allport's meeting with Freud so pungently significant? How did the loss of his father determine major elements of Nietzsche's philosophy? These questions and many more get answered, often in surprising and incisive fashion. Additional chapters take up the lives of Harvard operationist S.S. Stevens, Erik Erikson, Edith Wharton, Saddam Hussein, Truman Capote, Kathryn Harrison, Jack Kerouac, and others. Within each case study, tips are proffered along the way as to how psychobiography can be done more cogently, more intelligently, and more valuably. With its combination of telling about and showing how to practice psychobiography wisely, its inclusion of most of the field's leading practitioners, and its diversity of subjects, the Handbook of Psychobiography represents the best the field has to offer. It will define the discipline, set a course for effective future developments, and quickly emerge as a must-read for any beginning or serious psychobiographer, narrative psychologist, personologist or personality researcher.
This book is a first attempt to combine insights from the two perspectives with regard to the question of meaning by examining a collection of theoretical and empirical works. This volume therefore is destined to become an important addition to psychological literature: both from the viewpoint of the history of ideas (again this would be one of the first times that positive and existentialist psychologies meet) and from the viewpoint of theoretical and empirical research into the meaning concept in psychology.
This book begins with an introductory outline of the structure of the city politics of the United States. There is a study of the city in the federal system, including the politics of feudal aid. This is followed by four case studies: the political roles of mayor, manager, boss and adminstrator-entrepreneur in the city. Madgwick concludes with some comparative reflections indicating the significance of this study for British local government. This book was first published in 1970.
Statistics for the Terrified offers a clear and concise introduction to statistics. Perfect as a brief core or supplementary text for undergraduate courses in statistics and research methods, this Seventh Edition is also an ideal refresher for graduate students who have already taken a statistics course. Designed for students who may struggle with mathematical concepts, its informal and highly engaging narrative includes self-help strategies, numerous concrete examples, and a great deal of humor to encourage students from all backgrounds to the study of statistics.
This second edition textbook provides invaluable guidance on carrying out qualitative research in psychology using methods both individually and in combination. Suitable for researchers at all stages of their development, the book provides a go-to resource for students who are just starting out, as well as for experienced qualitative researchers planning to carry out research pluralistically. Key features include: *A new chapter on Thematic Analysis *Updated chapters on four other widely used qualitative method - grounded theory, interpretative phenomenological analysis, discourse analysis and narrative analysis *Discussions of the theoretical foundations of qualitative methods employed singly and pluralistically *Consideration of ethical and quality issues pertinent to different methods when used separately and in conjunction *Inclusion of the use of visual and other non-textual data *Problem-based questions *Reflections on practice from experienced researchers The book has been updated throughout to reflect current developments in, and research examples from, the full breadth of the discipline, including from health, social, counselling, and sports and exercise psychology. Studies carried out as part of both academic and professional practice are included, alongside discussion of ways in which researchers from both settings can work together effectively. "This book opens new horizons for innovation, and creates new avenues to explore the complexity of human experience." -Dr Amy Burton, Senior Lecturer in Qualitative Research Methods, Staffordshire University, UK "Frost invites advanced students to move from broad conceptual understandings towards a nuanced appreciation of the potential of qualitative methods in psychology." -Neil Cooper, Professor of Learning and Teaching in Psychology, University of East Anglia, UK "With a crystal clear writing style, Frost enriches our understanding of the practice and experience of doing pluralistic qualitative research - an invaluable contribution." -John McCarthy, Head of School of Applied Psychology, University College Cork, Ireland "Frost has delivered a highly relevant, useful, and contemporary book that will be a prized guide on any qualitative journey." -Brett Smith, Director of Research, Department of Psychology, Durham University, UK "Nollaig Frost has been instrumental to the advancement of a pluralistic perspective in qualitative psychology. This keenly awaited second edition of her book does not disappoint." -Carla Willig, bestselling author of Introducing Qualitative Research in Psychology Nollaig Frost is Adjunct Professor at the School of Applied Psychology, University College Cork, Ireland; Visiting Lecturer at City, University of London, UK; and Visiting Researcher at Middlesex University, UK. She teaches and supervises qualitative research to students at all levels and has led the Pluralism in Qualitative Research (PQR) project since its inception in 2006.
This book offers original knowledge, debate, and understanding from frontline fieldwork data and the relations between mental health difficulties, mental healthcare provision, and social theory. Dominant discourse of the last half century has followed a medical perspective. This has marginalised contributions from social science. Furthermore purely medical approaches to mental healthcare have profound shortcomings. Thus, this book draws upon innovative research findings to rejuvenate the relationship between psychiatry and social science. It frames this by reference to certain inevitable and uncertain elements of mental health which characterise this field. Over nine chapters the volume is a unique contribution to several intersecting areas of intellectual enterprise, research, and learning - as well as a source of insight into how mental health practice and policy might be modified and improved. As a result, it appeals to a wide range of audiences including social scientists, mental health practitioners, mental health researchers, social theorists, mental health service users, and policy-makers.
Categorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of punishment for committing burglary. This new book is a collection of up-to-date studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting data sets. This volume concentrates on latent class analysis and item response theory. These methods use latent variables to explain the relationships among observed categorical variables. Latent class analysis yields the classification of a group of respondents according to their pattern of scores on the categorical variables. This provides insight into the mechanisms producing the data and allows the estimation of factor structures and regression models conditional on the latent class structure. Item response theory leads to the identification of one or more ordinal or interval scales. In psychological and educational testing these scales are used for individual measurement of abilities and personality traits. The focus of this volume is applied. After a method is explained, the potential of the method for analyzing categorical data is illustrated by means of a real data example to show how it can be used effectively for solving a real data problem. These methods are accessible to researchers not trained explicitly in applied statistics. This volume appeals to researchers and advanced students in the social and behavioral sciences, including social, developmental, organizational, clinical and health psychologists, sociologists, educational and marketing researchers, and political scientists. In addition, it is of interest to those who collect data on categorical variables and are faced with the problem of how to analyze such variables--among themselves or in relation to metric variables.
Originally published in 1960, the two volumes of Experiments in Personality report a number of experiments in psychogenetics, psychopharmacology, psychodiagnostics, psychometrics and psychodynamics, all of which formed part of the programme of research which had been developing from the late 1940s at the Maudsley Hospital. Presenting the studies together in a book, rather than the more usual route of journal articles, was itself felt to be an experiment at the time, especially given the wide area covered. The decision was deliberate because all the studies reported formed part of a larger whole, which would have been lost if published separately. Volume I looks at psychogenetics and psychopharmacology. |
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