Straightforward and concise, the second edition of A Guide to Writing for Human Service Professionals offers students and professionals practical tools to improve their writing. In his animated and highly accessible teaching voice, Glicken presents the rules of punctuation, grammar, and APA style in jargon-free language that's easy to understand. Chapters include detailed, real-world examples on how to write academic papers, client assessments and evaluations, business letters, research proposals and reports, papers for mass audiences, requests for funding, and much more. Glicken provides the most comprehensive writing guide available in an engaging and digestible format, including end-of-chapter exercises that allow readers to further practice their writing and critical thinking skills. A Guide to Writing for Human Service Professionals is an invaluable resource for current and future human service professionals across social work, psychology, and counseling. Updates to the Second Edition include: *New writing exercises in every chapter to help current and future human service professionals improve critical thinking and expository writing skills *New discussion on social media writing, cyberslang, and writing articles for the mass media on issues related to the human services *A greater emphasis on the difference between politically correct writing and writing that shows sensitivity to diversity *Expanded coverage of critical thinking and writing, conducting research, and plagiarism *New examples of resume writing, business letters, and reference letters *Expanded discussion of the importance of writing clear mission statements and agency goals

"A user-friendly introduction to the powerful mental mapping tool of repertory grid technique."

Repertory grid technique is a system for identifying, in detail, what you or anyone else really thinks about an issue. You can use it as a tool for personal discovery, as a device for team building activities, or as a problem-solving aid.

Written as a DIY guide, with a friendly expert sitting beside you, this book will teach you the technique of repertory grids step by step. Here you'll find all the information you need, alongside lots of worked examples and helpful exercises that you can use to check your understanding. The answers are in the back! If you want additional practice and resources a website that supports this book can be found at www.wiley.co.uk/easyguide

Professor Devi Jankowicz is one of the leading authorities on occupational applications of personal construct theory and repertory grid technique. He has written this guide for psychology students and researchers; education students; personnel practitioners; as well as managers in the workplace.

'This book's title may seem a contradiction in terms to readers who have seen the repertory grid as dauntingly complex. However, the book lives up to its title in being a very user-friendly introduction to the technique, written in a chatty style, and including numerous practical exercises, mostly not requiring use of computer software,""'

David Winter "University of Hertfordshire and Barnet, Enfield and Haringey Mental Health NHS Trust"

For those who teach students in psychology, education, and the social sciences, the Handbook of Demonstrations and Activities in the Teaching of Psychology, Second Edition provides practical applications and rich sources of ideas. Revised to include a wealth of new material (56% of the articles are new), these invaluable reference books contain the collective experience of teachers who have successfully dealt with students' difficulty in mastering important concepts about human behavior. Each volume features a table that lists the articles and identifies the primary and secondary courses in which readers can use each demonstration. Additionally, the subject index facilitates retrieval of articles according to topical headings, and the appendix notes the source as it originally appeared in Teaching of Psychology, the official journal of the Society for the Teaching of Psychology, Division Two of the American Psychological Association. Volume I consists of 97 articles about strategies for teaching introductory psychology, statistics, research methods, and the history of psychology classes. Divided into four sections (one for each specialty), the book suggests ways to stimulate interest, promote participation, grasp psychological terminology, and master necessary scientific skills.

In this landmark book, David Scharff and Jill Savege Scharff, both psychoanalysts, develop a way of thinking about and working with the couple as a small group of two, held together as a tightly knit system by a commitment that is powerfully reinforced by the bond of mutual sexual pleasure.

"This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some time. The discussion of mixtures with heavy tails and asymmetric distributions will place this text as the authoritative, modern reference in the mixture modeling literature." (Douglas Steinley, University of Missouri) Mixture Model-Based Classification is the first monograph devoted to mixture model-based approaches to clustering and classification. This is both a book for established researchers and newcomers to the field. A history of mixture models as a tool for classification is provided and Gaussian mixtures are considered extensively, including mixtures of factor analyzers and other approaches for high-dimensional data. Non-Gaussian mixtures are considered, from mixtures with components that parameterize skewness and/or concentration, right up to mixtures of multiple scaled distributions. Several other important topics are considered, including mixture approaches for clustering and classification of longitudinal data as well as discussion about how to define a cluster Paul D. McNicholas is the Canada Research Chair in Computational Statistics at McMaster University, where he is a Professor in the Department of Mathematics and Statistics. His research focuses on the use of mixture model-based approaches for classification, with particular attention to clustering applications, and he has published extensively within the field. He is an associate editor for several journals and has served as a guest editor for a number of special issues on mixture models.

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.

First Published in 1987. Routledge is an imprint of Taylor & Francis, an informa company.

The crux of the debate between proponents of behavioral psychology and cognitive psychology focuses on the issue of accessibility. Cognitivists believe that mental mechanisms and processes are accessible, and that their inner workings can be inferred from experimental observations of behavior. Behaviorists, on the contrary, believe that mental processes and mechanisms are inaccessible, and that nothing important about them can be inferred from even the most cleverly designed empirical studies. One argument that is repeatedly raised by cognitivists is that even though mental processes are not directly accessible, this should not be a barrier to unravelling the nature of the inner mental processes and mechanisms. Inference works for other sciences, such as physics, so why not psychology? If physics can work so successfully with their kind of inaccessibility to make enormous theoretical progress, then why not psychology? As with most previous psychological debates, there is no "killer argument" that can provide an unambiguous resolution. In its absence, author William Uttal explores the differing properties of physical and psychological time, space, and mathematics before coming to the conclusion that there are major discrepancies between the properties of the respective subject matters that make the analogy of comparable inaccessibilities a false one.

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.

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.

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.

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.

The first of two volumes in the Advances in Child Development and Behavior series, Equity and Justice in Developmental Science: Theoretical and Methodological Issues focuses on conceptual issues, definitions, and critical concepts relevant to equity and justice for the developmental sciences. This volume covers critical methodological issues that serve to either challenge or advance our understanding of, and ability to promote, equity and justice in the developmental sciences. Both volumes bring together a growing body of developmental scholarship that addresses how issues relevant to equity and justice (or their opposites) affect development and developmental outcomes, as well as scholarship focused on mitigating the developmental consequences of inequity, inequality, and injustice for young people, families, and communities and ensuring that all young people have opportunities to develop and thrive.

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.

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.

Written for graduate level students in advanced statistics, this handbook offers a comprehensive and practical overview of path analysis. A User's Guide to Path Analysis contains: * Definition and graphical illustrations of basic terms and concepts * Illustration of causal diagrams with emphasis on variable positioning, path symbols, error terms, missing arrows, and feedback loops * In-depth discussion of assumptions underlying path analysis * Discussion of causal model estimation with illustrations * Practical research questions for interpreting a path model * Instructions on how to read a path diagram, and how to use the SPSS computer program and interpret the results * Suggestions for what to include when writing up or interpreting findings

Nowadays, event history analysis can draw on a well-established set of statistical tools for the description and causal analysis of event history data. The second edition of Event History Analysis with Stata provides an updated introduction to event history modeling, along with many instructive Stata examples. Using the latest Stata software, each of these practical examples develops a research question, refers to useful substantive background information, gives a short exposition of the underlying statistical concepts, describes the organization of the input data and the application of the statistical Stata procedures, and assists the reader in performing a substantive interpretation of the obtained results. Emphasising the strengths and limitations of event history model techniques in each field of application, this book demonstrates that event history models provide a useful approach with which to uncover causal relationships or to map out a system of causal relations. It demonstrates how long-term processes can be studied and how changing context information on the micro, meso, and macro levels can be integrated easily into a dynamic analysis of longitudinal data. Event History Analysis with Stata is an invaluable resource for both novice students and researchers who need an introductory textbook and experienced researchers (from sociology, economics, political science, pedagogy, psychology, or demography) who are looking for a practical handbook for their research.

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.

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.

Contains information for using R software with the examples in the textbook Sampling: Design and Analysis, 3rd edition by Sharon L. Lohr.

The topic of ego development developed when psychoanalysis did not fulfill all the initial hopes during its early period of prominence. Clinicians--psychiatrists, psychologists, social workers, and counselors--realized that they needed to know more than their patients' or clients' psychopathology or normalcy and their psychosexual behavior and drives. The method for scoring sentence completions presented in this manual was originally developed for a study of women and adolescent girls. By the time it was first published in 1970, however, the method had already come into use in studies of men and boys. Since then, it has been used with widely varying samples, and the test has been translated into several other languages. This wide adoption testifies to the need for such a test. The present version of the manual incorporates three major improvements: * it is based on data from, and is intended for use with, both males and females, * its format is easier to use, and * the examples cited reflect current public attitudes. The format of the scoring manual for the Sentence Completion Test (SCT) is radically changed from the original, making it easier to find the correct rating for a response. The rating scale itself is kept simple and the basic concept of ego development is the same. A tutorial is included to assist in calculating the Total Protocol Ratings (TPRs). ALTERNATIVE BLURB!!! The Washington University Sentence Completion Test, which was developed by Jane Loevinger, is a free-response, semi-projective instrument for the assessment of ego development. The first manual for administering and scoring the test was published in 1970. In addition to its widespread use in the United States, it has also been adopted for use in Canada, the United Kingdom, France, Germany, Italy, the Netherlands, Japan, India, and South Africa. The WUSCT has been used for research in the fields of adolescent personality development, moral development, infancy and parenting, family and gender studies, multiculturalism, religion, psychopathology and psychotherapy, vocational studies, and social and organizational psychology. It is most frequently used by researchers and practitioners in psychology, counseling, social work, and education. This book represents a revised edition of the WUSCT scoring manual, including all items in the 1981 forms, which were revised for use with both men and women. The content reflects current social attitudes, which have changed on some topics since the publication of the original 1970 manual. Although there have been minor changes in terminology, the conception of ego development is unchanged, and the stages of the construct are essentially the same. The format of the scoring manual, however, has been radically changed for ease of use in rating responses. (The rating scale itself, which is the same for all items, is kept simple.) A tutorial is included to assist in calculating the Total Protocol Ratings.

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.

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.

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.