* Features/Benefits o Provides a hands-on methodological guide and overview for understanding the data/results of longitudinal research in SLA/applied linguistics and for conducting one's own such studies, illustrating these methods with exemplary studies of language learning outcomes over a long term. o Original reportings of unique large-scale research studies offer the best one-stop shop for reading and understanding current quantitative longitudinal studies in language learning. o Appendices with data and pedagogical features make it useful for course use by instructors and students. * Demand/Audience o Meets the need for methodological clarity in collecting, managing/organizing, and analyzing quantitative longitudinal data on language learning by offering students and researchers of applied linguistics, testing, and education a practical guide to conducting this research along with unique exemplar studies. * Competition o The only book to focus on quantitative longitudinal data analysis specifically for an SLA/applied linguistics readership. One older book focuses on qualitative and other methods with a narrower focus, and no other book comes very close to doing what this book does.

This book covers statistical consequences of breaches of research integrity such as fabrication and falsification of data, and researcher glitches summarized as questionable research practices. It is unique in that it discusses how unwarranted data manipulation harms research results and that questionable research practices are often caused by researchers' inadequate mastery of the statistical methods and procedures they use for their data analysis. The author's solution to prevent problems concerning the trustworthiness of research results, no matter how they originated, is to publish data in publicly available repositories and encourage researchers not trained as statisticians not to overestimate their statistical skills and resort to professional support from statisticians or methodologists. The author discusses some of his experiences concerning mutual trust, fear of repercussions, and the bystander effect as conditions limiting revelation of colleagues' possible integrity breaches. He explains why people are unable to mimic real data and why data fabrication using statistical models stills falls short of credibility. Confirmatory and exploratory research and the usefulness of preregistration, and the counter-intuitive nature of statistics are discussed. The author questions the usefulness of statistical advice concerning frequentist hypothesis testing, Bayes-factor use, alternative statistics education, and reduction of situational disturbances like performance pressure, as stand-alone means to reduce questionable research practices when researchers lack experience with statistics.

Structural equation modeling (SEM) is a very general and flexible multivariate technique that allows relationships among variables to be examined. The roots of SEM are in the social sciences. In writing this textbook, the authors look to make SEM accessible to a wider audience of researchers across many disciplines, addressing issues unique to health and medicine. SEM is often used in practice to model and test hypothesized causal relationships among observed and latent (unobserved) variables, including in analysis across time and groups. It can be viewed as the merging of a conceptual model, path diagram, confirmatory factor analysis, and path analysis. In this textbook the authors also discuss techniques, such as mixture modeling, that expand the capacity of SEM using a combination of both continuous and categorical latent variables. Features: Basic, intermediate, and advanced SEM topics Detailed applications, particularly relevant for health and medical scientists Topics and examples that are pertinent to both new and experienced SEM researchers Substantive issues in health and medicine in the context of SEM Both methodological and applied examples Numerous figures and diagrams to illustrate the examples As SEM experts situated among clinicians and multidisciplinary researchers in medical settings, the authors provide a broad, current, on the ground understanding of the issues faced by clinical and health services researchers and decision scientists. This book gives health and medical researchers the tools to apply SEM approaches to study complex relationships between clinical measurements, individual and community-level characteristics, and patient-reported scales.

From its foundation in the 1950s by George Kelly, Personal Construct Psychology continued to grow, both as a movement among psychologists and then in industry, education, government and commerce. Originally published in 1985 this title offers a compendium of elaborations and new conversational uses for Kelly's repertory grid technique. The authors have dramatically transformed the grid from a static measuring instrument to a dynamic tool for a personal exploration of the learning process itself. This grid-based Reflective Learning Technology enables individuals, pairs, groups and organisations to develop their learning in environments of work, family, education and society. As the originators and best-known practitioners of interactive grids, the authors give the reader an A-Z of these techniques. Case studies include management training, quality control, staff appraisal, job selection, team building, manufacturing, marketing and production as well as learning at a distance, learning to learn in schools, youth training, reading to learn and other learning skills, staff development, social work, counselling and therapy. Their development of a theory of learning conversation and conversational grid software opens up an imaginative, exciting and more humane approach to the use of microcomputers in all forms of education, while at the same time demonstrating the essentially autonomous nature of human learning. Available again after many years out of print, this book is of even greater value today than when first published.

Everyday Applications of Psychological Science explores several core areas of psychology, showing readers how to apply these principles to everyday situations in order to better their understanding of human behavior and improve their quality of life. The authors of this book, who are award-winning educators of psychology, have culled and collated the best practical research-based advice that psychological science can offer in an easy-to-read and digestible format. Lively and peppered with anecdotes, this book explores topical areas normally found in introductory psychology books but do so in a way that makes psychological science practical, accessible, and relevant to our readers. In Everyday Applications of Psychological Science, the best science that psychology has to offer is translated into life hacks that are applicable to improving readers' physical health, mental health, psychological wealth, relationships, and happiness. Everyday Applications of Psychological Science is vital reading for those interested in learning more about the field of psychology more generally and how aspects of it can be applied to daily life. Our approach may be of particular interest to current and prospective undergraduate students of psychology and those interested in learning more about mental health issues.

Originally published in 1964, the aim of this book was to analyse the psychological processes involved in understanding personality, and to consider how the psychologist could help in making more accurate assessments. Professor Vernon discusses in detail the scientific status of psychoanalytic and other 'depth' theories of motivation, the value of different types of psychotherapeutic treatment and counselling, the influence of upbringing on the development of personality, and the effectiveness of projective techniques. He also examines the reasons for the highly variable results obtained with personality tests and questionnaires. As well as providing a balanced review of theories of personality and of various types of test, this work made a fresh contribution to developing improved techniques of assessment.

Originally published in 1953 this book provided the first comprehensive account of methods of personality assessment by a British author. It starts with a short survey of personality theory, pointing out the difficulties in any method of testing or assessment. Next it describes the weaknesses of the common interview method. (Throughout the emphasis is on methods which are usable in educational or vocational guidance and selection, not on methods which are mainly of scientific interest.) Thereafter it takes up each main type of technique - tests based on physique or psychological measures, on expressive movement such as gestures and handwriting, tests of behaviour (including War Office Selection Board 'house party' methods), ratings and rating scales, questionnaires, and so-called projective techniques. The evidence for or against each test or method is surveyed and numerous references provided for relevant literature. Illustrative excerpts are given of many of the more promising tests, and some pictorial illustrations. British work in this field at the time is covered completely, and an attempt is made to provide a fair summary of the main contributions of American and other psychologists of the day.

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. This title was first published in 2008.

A Practical Guide to Teaching Research Methods in Education brings together more than 60 faculty experts. The contributors share detailed lesson plans about selected research concepts or skills in education and related disciplines, as well as discussions of the intellectual preparation needed to effectively teach the lesson. Grounded in the wisdom of practice from exemplary and award-winning faculty from diverse institution types, career stages, and demographic backgrounds, this book draws on both the practical and cognitive elements of teaching educational (and related) research to students in higher education today. The book is divided into eight sections, covering the following key elements within education (and related) research: problems and research questions, literature reviews and theoretical frameworks, research design, quantitative methods, qualitative methods, mixed methods, findings and discussions, and special topics, such as student identity development, community and policy engaged research, and research dissemination. Within each section, individual chapters specifically focus on skills and perspectives needed to navigate the complexities of educational research. The concluding chapter reflects on how teachers of research also need to be learners of research, as faculty continuously strive for mastery, identity, and creativity in how they guide our next generation of knowledge producers through the research process. Undergraduate and graduate professors of education (and related) research courses, dissertation chairs/committee members, faculty development staff members, and graduate students would all benefit from the lessons and expert commentary contained in this book.

First published in 1950, this revised edition of The Structure of Human Abilities was published in 1961, but remained largely unchanged from the original save for an additional supplement on the developments in factorial work on human abilities from 1950-1959. Much research had been carried out during the years leading up to publication, in England and America, into mental abilities; and modern methods of statistical treatment, especially factor analysis, had been increasingly used. It was felt that the mass of diverse material was apt to confuse the student of psychology of the time, especially as the results of such research were often apparently conflicting. Professor Vernon, one of the leading experts in this branch of psychology, sifted the material and attempted to provide a consistent picture of our mental structure.

Used to train generations of social scientists, this thoroughly updated classic text covers the latest research techniques and designs. Through a multi-methodology approach, the text guides readers toward the design and conduct of social research from the ground up. Explained with applied examples useful to the social, behavioral, educational, and organizational sciences, the methods described are intended to be relevant to contemporary researchers.
Applauded for its comprehensive coverage, the breadth and depth of content is unparalleled.The underlying logic and mechanics of experimental, quasi-experimental, and non-experimental research strategies are discussed in detail. Introductory chapters covering topics such as validity and reliability furnish readers with a firm understanding of foundational concepts. Chapters dedicated to sampling, interviewing, questionnaire design, stimulus scaling, observational methods, content analysis, implicit measures, dyadic and group methods, and meta-analysis provide coverage of these essential methodologies
"Principles and Methods of Social Research" is noted for its:
-Emphasis on understanding the principles that govern the use of a method to facilitate the researcher s choice of the best technique for a given situation.
- Use of the laboratory experiment as a touchstone to describe and evaluate field experiments, correlational designs, quasi experiments, evaluation studies, and survey designs.
-Coverage of the ethics of social research including the power a researcher wields and tips on how to use it responsibly.

"The new edition features:
"-A new co-author, Andrew Lac, instrumental in fine tuning the book s accessible approach and highlighting the most recent developments at the intersection of design and statistics.
-More learning tools including more explanation of the basic concepts, more research examples, tables, and figures, and the addition of bold faced terms, chapter conclusions, discussion questions, and a glossary.
-Extensive revision of chapter (3) on measurement reliability theory that examines test theory, latent factors, factor analysis, and item response theory.
-Expanded coverage of cutting-edge methodologies including mediation and moderation, reliability and validity, missing data, and more physiological approaches such as neuroimaging and fMRIs.
-A new web based resource package that features Power Points and a test bank for each chapter and additional readings.

Intended as a text for graduate or advanced undergraduate courses in research methods (design) in psychology, communication, sociology, education, public health, and marketing, an introductory course on research methods is recommended."

Originally published in 1979, this title represents a summary of 17 years of research centring around the "Sensation Seeking Scale" (SSS) and the theory from which the test was derived. Now an integral part of personality testing, including adaptations for use with children, this reissue is a chance to see where it all began.

Statistical Power Analysis explains the key concepts in statistical power analysis and illustrates their application in both tests of traditional null hypotheses (that treatments or interventions have no effect in the population) and in tests of the minimum-effect hypotheses (that the population effects of treatments or interventions are so small that they can be safely treated as unimportant). It provides readers with the tools to understand and perform power analyses for virtually all the statistical methods used in the social and behavioral sciences. Brett Myors and Kevin Murphy apply the latest approaches of power analysis to both null hypothesis and minimum-effect testing using the same basic unified model. This book starts with a review of the key concepts that underly statistical power. It goes on to show how to perform and interpret power analyses, and the ways to use them to diagnose and plan research. We discuss the uses of power analysis in correlation and regression, in the analysis of experimental data, and in multilevel studies. This edition includes new material and new power software. The programs used for power analysis in this book have been re-written in R, a language that is widely used and freely available. The authors include R codes for all programs, and we have also provided a web-based app that allows users who are not comfortable with R to perform a wide range of analyses using any computer or device that provides access to the web. Statistical Power Analysis helps readers design studies, diagnose existing studies, and understand why hypothesis tests come out the way they do. The fifth edition includes updates to all chapters to accommodate the most current scholarship, as well as recalculations of all examples. This book is intended for graduate students and faculty in the behavioral and social sciences; researchers in other fields will find the concepts and methods laid out here valuable and applicable to studies in many domains.

From its foundation in the 1950s by George Kelly, Personal Construct Psychology continued to grow, both as a movement among psychologists and then in industry, education, government and commerce. Originally published in 1985 this title offers a compendium of elaborations and new conversational uses for Kelly's repertory grid technique. The authors have dramatically transformed the grid from a static measuring instrument to a dynamic tool for a personal exploration of the learning process itself. This grid-based Reflective Learning Technology enables individuals, pairs, groups and organisations to develop their learning in environments of work, family, education and society. As the originators and best-known practitioners of interactive grids, the authors give the reader an A-Z of these techniques. Case studies include management training, quality control, staff appraisal, job selection, team building, manufacturing, marketing and production as well as learning at a distance, learning to learn in schools, youth training, reading to learn and other learning skills, staff development, social work, counselling and therapy. Their development of a theory of learning conversation and conversational grid software opens up an imaginative, exciting and more humane approach to the use of microcomputers in all forms of education, while at the same time demonstrating the essentially autonomous nature of human learning. Available again after many years out of print, this book is of even greater value today than when first published.

Access US Census Bureau geographic and demographic data directly within R. Wrangle Census data with tidyverse tools and work with margins of error in the American Community Survey. Make maps and interactive web visualizations with US Census data. Explore Census data with spatial analysis using the sf package. Integrate Census data into spatial and machine learning models.

First published in 1950, this revised edition of The Structure of Human Abilities was published in 1961, but remained largely unchanged from the original save for an additional supplement on the developments in factorial work on human abilities from 1950-1959. Much research had been carried out during the years leading up to publication, in England and America, into mental abilities; and modern methods of statistical treatment, especially factor analysis, had been increasingly used. It was felt that the mass of diverse material was apt to confuse the student of psychology of the time, especially as the results of such research were often apparently conflicting. Professor Vernon, one of the leading experts in this branch of psychology, sifted the material and attempted to provide a consistent picture of our mental structure.

A Beginner's Guide to Structural Equation Modeling, fifth edition, has been redesigned with consideration of a true beginner in structural equation modeling (SEM) in mind. The book covers introductory through intermediate topics in SEM in more detail than in any previous edition. All of the chapters that introduce models in SEM have been expanded to include easy-to-follow, step-by-step guidelines that readers can use when conducting their own SEM analyses. These chapters also include examples of tables to include in results sections that readers may use as templates when writing up the findings from their SEM analyses. The models that are illustrated in the text will allow SEM beginners to conduct, interpret, and write up analyses for observed variable path models to full structural models, up to testing higher order models as well as multiple group modeling techniques. Updated information about methodological research in relevant areas will help students and researchers be more informed readers of SEM research. The checklist of SEM considerations when conducting and reporting SEM analyses is a collective set of requirements that will help improve the rigor of SEM analyses. This book is intended for true beginners in SEM and is designed for introductory graduate courses in SEM taught in psychology, education, business, and the social and healthcare sciences. This book also appeals to researchers and faculty in various disciplines. Prerequisites include correlation and regression methods.

A Beginner's Guide to Structural Equation Modeling, fifth edition, has been redesigned with consideration of a true beginner in structural equation modeling (SEM) in mind. The book covers introductory through intermediate topics in SEM in more detail than in any previous edition. All of the chapters that introduce models in SEM have been expanded to include easy-to-follow, step-by-step guidelines that readers can use when conducting their own SEM analyses. These chapters also include examples of tables to include in results sections that readers may use as templates when writing up the findings from their SEM analyses. The models that are illustrated in the text will allow SEM beginners to conduct, interpret, and write up analyses for observed variable path models to full structural models, up to testing higher order models as well as multiple group modeling techniques. Updated information about methodological research in relevant areas will help students and researchers be more informed readers of SEM research. The checklist of SEM considerations when conducting and reporting SEM analyses is a collective set of requirements that will help improve the rigor of SEM analyses. This book is intended for true beginners in SEM and is designed for introductory graduate courses in SEM taught in psychology, education, business, and the social and healthcare sciences. This book also appeals to researchers and faculty in various disciplines. Prerequisites include correlation and regression methods.

Psychological Statistics: The Basics walks the reader through the core logic of statistical inference and provides a solid grounding in the techniques necessary to understand modern statistical methods in the psychological and behavioral sciences. This book is designed to be a readable account of the role of statistics in the psychological sciences. Rather than providing a comprehensive reference for statistical methods, Psychological Statistics: The Basics gives the reader an introduction to the core procedures of estimation and model comparison, both of which form the cornerstone of statistical inference in psychology and related fields. Instead of relying on statistical recipes, the book gives the reader the big picture and provides a seamless transition to more advanced methods, including Bayesian model comparison. Psychological Statistics: The Basics not only serves as an excellent primer for beginners but it is also the perfect refresher for graduate students, early career psychologists, or anyone else interested in seeing the big picture of statistical inference. Concise and conversational, its highly readable tone will engage any reader who wants to learn the basics of psychological statistics.

Alan C. Acock's A Gentle Introduction to Stata, Revised Sixth Edition is aimed at new Stata users who want to become proficient in Stata. After reading this introductory text, new users will be able to not only use Stata well but also learn new aspects of Stata. Acock assumes that the user is not familiar with any statistical software. This assumption of a blank slate is central to the structure and contents of the book. Acock starts with the basics; for example, the part of the book that deals with data management begins with a careful and detailed example of turning survey data on paper into a Stata-ready dataset. When explaining how to go about basic exploratory statistical procedures, Acock includes notes that will help the reader develop good work habits. This mixture of explaining good Stata habits and explaining good statistical habits continues throughout the book. Acock is quite careful to teach the reader all aspects of using Stata. He covers data management, good work habits (including the use of basic do-files), basic exploratory statistics (including graphical displays), and analyses using the standard array of basic statistical tools (correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion). He also successfully introduces some more advanced topics such as multiple imputation and multilevel modeling in a very approachable manner. Acock teaches Stata commands by using the menus and dialog boxes while still stressing the value of Stata commands and do-files. In this way, he ensures that all types of users can build good work habits. Each chapter has exercises that the motivated reader can use to reinforce the material. The tone of the book is friendly and conversational without ever being glib or condescending. Important asides and notes about terminology are set off in boxes, which makes the text easy to read without any convoluted twists or forward referencing. Rather than splitting topics by their Stata implementation, Acock arranges the topics as they would appear in a basic statistics textbook; graphics and postestimation are woven into the material naturally. Real datasets, such as the General Social Surveys from 2002, 2006, and 2016, are used throughout the book. The focus of the book is especially helpful for those in the behavioral and social sciences because the presentation of basic statistical modeling is supplemented with discussions of effect sizes and standardized coefficients. Various selection criteria, such as semipartial correlations, are discussed for model selection. Acock also covers a variety of commands available for evaluating reliability and validity of measurements. The revised sixth edition is fully up to date for Stata 17, including updated discussion and images of Stata's interface and modern command syntax. In addition, examples include new features such as the table command and collect suite for creating and exporting customized tables as well as the option for creating graphs with transparency.

This book considers some of the most notable aspects of the legal response to the "war on terror" post- 9/11 and the use of technology to support them. It examines the shift from a criminal justice response to the creation of a parallel preventive system running in tandem with it. This system has tended to veer away from the commission of criminal offences or adherence to ordinary criminal justice safeguards. Such a preventive strategy relies on targeting terrorist suspects - those who it is thought may in future commit terrorist acts - and curbing their actions with the aim of preventing terrorist activity before it occurs. The book further considers the role that surveillance plays in the counter-terrorist efforts of state or non-state actors. It also evaluates the counter-productive effects that many of these measures have had. This book was originally published as a special issue of International Review of Law Computers & Technology.

Psychoanalytic infant observation is frequently used in training psychoanalytic psychotherapists and allied professionals, but increasingly its value as a research method is being recognised, particularly in understanding developmental processes in vulnerable individuals and groups. This book explores the scope of this approach and discusses its strengths and limitations from a methodological and philosophical point of view.

Infant Observation and Research uses detailed case studies to demonstrate the research potential of the infant observation method. Divided into three sections this book covers

• infant observation as part of the learning process
• how infant observation can inform understanding and influence practice
• psychoanalytic infant observation and other methodologies.

Throughout the book, Cathy Urwin, Janine Sternberg and their contributors introduce the reader to the nature and value of psychoanalytic infant observation and its range of application. This book will therefore interest a range of mental health practitioners concerned with early development and infants' emotional relationships, as well as academics and researchers in the social sciences and humanities.

With over two decades of classroom experience, Michael Passer knows how to guide students through the ins and outs of research methods. In this remarkable text, Passer's experience leads to chapters filled with clear explanations, resonant examples, and contemporary research from across the breadth of modern psychology, all while anticipating common questions and misunderstandings. The new edition has been fully updated to reflect the latest APA style guidelines, as well as the updated APA Code of Conduct and ethical principles. It features full-page infographics summarizing key concepts and fully updated research. It can be packaged FREE with Worth Publishers' LaunchPad Solo for Research Methods-the ideal online component for the text, featuring videos and activities that put students in the role of either experimenter or research subject.

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

Offering rhetorically informed strategic interventions, this innovative collection moves beyond critiques of mental health issues, problems, and care. With sections that focus on methodological, cultural and legal, and pedagogical interventions, readers will find an engaging discussion of a discrete mental health phenomenon as well as a clear interventional takeaway in each chapter. Contributors make use of critical discourse analyses, ethnographic inquiries, autoethnographic inquiries, case studies, and textual analyses to engage such mental health research topics as postpartum depression among Chinese mothers; insanity pleas; anosognosia; issues of intimacy, access, and embodiment in research projects; community support groups; Black mental health; women in Alcoholics Anonymous; and mental health in faculty workshops and university online health tools. The authors and editors create scholarship on mental health that explicitly builds productive methodological, theoretical, and practical bridges among scholars and teachers in the various specialties of writing and communication. This collection will interest scholars, students, and practitioners in health and medical humanities; rhetoric of health and medicine; health communication; medical anthropology; scientific and technical communication; disability studies; and rhetorical studies generally.