Qualitative Inquiry in Neoliberal Times is written from the perspective that the scholarly lives of academics are changing, constantly in flux, and increasingly bound to the demands of the market - a context in which the university has increasingly morphed into a business enterprise, one that treats students as consumers to be marketed to, education as something to be purchased, and research as something to be capitalized on for financial gain. The effects of this market-orientation of scholarly life, especially on those in the social sciences and humanities, are ones that demand serious examination. At the same time, qualitative inquiry itself is changing and evolving within and against the rhythms of this 'new normal'. This volume engages with these emerging debates in qualitative research over new materialism, 'data', public policy, research ethics, public scholarship, and the corporate university in the neoliberal age. World-renowned contributors from the United States, United Kingdom, Spain, Norway, Australia, and New Zealand present a global perspective on these issues, framed within a landscape of higher education marked if not marred by efficiency metrics, accountability, external funding, and university rankings. Qualitative Inquiry in Neoliberal Times is a must-read for faculty and students alike interested in the changing dynamics of their profession, whether theoretically, methodologically, or structurally and materially. This title is sponsored by the International Association of Qualitative Inquiry, a major new international organization that sponsors an annual congress.

No single factor determined the growth of this book. It may have been that as a novice researcher in Behavioral Psychology I experienced growing discontent with the direction of intellectual activity in which the accent was on methodology and measurement, with a distinct atmosphere of dogmatism, insecurity and defensiveness. The anathema of tender-mindedness was attached to any study of mental manifes tations that avoided laboratory confirmation and statistical significance. Man in his uniqueness and unpredictable potentialities remained un explored. Yet outside the systematic vivisection of variables and their measurement men of originality and genius were studying the mind in its complex yet natural interaction of aspirations, values and creative capacities. It was almost too easy for me to turn to them for the re orientation of my psychological interest, and it was not difficult to find in Freud the most daring and penetrating representant of humanistic psychology. Furthermore, it could have been the fact that Freud's thoughts on creative processes appeared to me at once starkly original and yet incomplete and fragmentary, that led me to reconsider and expand on them. Freud's fascination with culture and creativity, although frank and serious, led him to a peculiar indecisiveness and overcautiousness which was radically different from the dramatic boldness of his thera peutic methods and the depth of his personality theories."

Are you a programmer who wants to get started quickly in a new language? This book is for you. Are you a novice who wants to learn to program? This book is not for you. Are you a Python programmer who needs encyclopaedic information? This book is not for you. Like any mainstream language, Python has loops, if statements, assignment statements, functions, etc. I'll show you what these look like in Python. I won't waste your time telling you what they're good for. Python has features you may not be familiar with--iterators, list comprehensions, maybe even dictionaries. I'll spend more time on these. I'll cover some of the library functions I found most immediately useful, and tell you where to find more. In short, this book will help you hit the ground running. Next week, you'll be ready to buy that Python encyclopaedia.

Now in its fifth, expanded edition, Using Sources Effectively, Fifth Edition targets the two most prominent problems in current research-paper writing: the increase in unintentional plagiarism and the ineffective use of research source material. Designed as a supplementary textbook for both undergraduate and graduate courses, this book will help every student who uses research in writing. Included in this edition are coverage of research strategies and source selection (Chapter 2), a chapter on quoting sources effectively (Chapter 4), and a chapter on sentence patterns (Chapter 10). APA and MLA citation styles have been updated throughout the text. To the student: This book was written to give you the knowledge and tools you can use to make your research-based writing more powerful and effective. Here are some examples: Mini-Research Projects at the end of each chapter to sharpen your research and evaluation skills A set of practical, useful rhetorical devices to help improve the clarity and impact of your writing Increased emphasis on synthesis writing-weaving source use into your own thinking-to give your writing more interest and persuasive power Instruction in close reading to help you better grasp what an author is discussing or arguing Strategies for organizing and positioning your sources to strengthen your central argument.

Participatory Action Research (PAR) privileges the involvement of participants as co-researchers to generate new knowledge and act on findings to effect social change. In PAR projects, academic researchers collaborate closely with co-researchers, working from the idea that these individuals, especially those who are usually marginalized from institutions, can be engaged in meaningful research activities to achieve social justice outcomes in addition to answering research questions. When deployed ethically in collaboration with co-researchers, PAR's participatory element facilitates a 'bottom-up' approach where knowledge is co-created through grassroots or community-based activities. This book goes beyond a PAR 'how to' manual on the methodology. Rather it synthesizes key learnings in contemporary research, with a distinct focus on the challenging aspects of undertaking PAR in practice and strategies to address these. It provides a clear and user-friendly collection of practical and contextual examples and presents key pointers on the implications of PAR methods, their strengths and weaknesses, and strategies for the field. These examples will be useful for critical class discussions, as well as to anticipate fieldwork pitfalls and pre-empt challenges through collaborative approaches.

*Update of the only comprehensive reference work on socialization: 45% new material includes eight new chapters/topics. *Exciting research developments in genetics, brain functioning, and more are included. *Hot topics include moral development, the media as a socializing agent, and behavioral genetics. *Contributors are leading researchers in the field.

Hands-on Help is a narrative review of the mushrooming field of computer-aided psychotherapy for mental health problems as a whole, from the time it began in the 1960's through to the present day. The many types of computer-aided psychotherapy and how each might be accessed are detailed together with the pros and cons of such help and the functions it can serve. The authors review prevention as well as treatment. The book describes and summarizes 97 computer-aided self-help systems in 175 studies according to the types of problem they aim to alleviate. These include phobic, panic, obsessive-compulsive and post-traumatic disorders, depression, anxiety, eating disorders, sexual problems, smoking, alcohol and drug misuse, schizophrenia, insomnia, pain and tinnitus distress, and childhood problems such as encopresis, autism and asthma. Within each type of problem the systems are described according to whether they are used on the internet, CD-ROM, phone, handheld or other device. The final chapter shows how internet self-help systems with phone or email support allow clinics to become more virtual than physical. It also discusses methods of screening suitability and of supporting users, constraints to delivery, uptake and completion, cost-effectiveness, and the place of computer-aided self-help in healthcare provision. This informative book will be essential reading for psychiatrists, psychologists and all other mental health professionals interested in broadening their understanding of computer-aided psychotherapy.

This book highlights the effects of the COVID-19 pandemic on the mental health needs of children and adolescents in order to shed light on future practice and reform needed to better deal with the aftermath of such devastating events. The book identifies the conditions during any public health crisis that heighten the mental health needs of children and adolescents and suggests the reforms of mental health services needed to better meet the needs of children and youths during and following pandemics and other public health crises. Importance is placed not only on addressing the effects of COVID-19 but on anticipating and preparing for other public health disruptions to the lives of those who have not reached adulthood. Although mental health services in all settings are considered, special attention is given to the role of schools in providing for the mental health of children and adolescents and preparing for the mental health implications of future public health disruptions. The book will be of equal use to both students and researchers in the fields of mental health, well-being, and education as well as teachers, educational psychologists, social workers, and practitioners working in schools and communities to address students' mental health needs. It will help readers better understand how and why COVID-19 was a negative influence on students' mental health, and unpack how best to deal with the aftermath of the pandemic.

This engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate courses in statistics, research methods, or quantitative analysis. Interactive Internet exercises that further promote undoing the misconceptions are found on the book's website. The author's accessible discussion of each misconception has five parts: The Misconception - a brief description of the misunderstanding Evidence that the Misconception Exists - examples and claimed prevalence Why the Misconception is Dangerous - consequence of having the misunderstanding Undoing the Misconception - how to think correctly about the concept Internet Assignment - an interactive activity to help readers gain a firm grasp of the statistical concept and overcome the misconception. The book's statistical misconceptions are grouped into 12 chapters that match the topics typically taught in introductory/intermediate courses. However, each of the 52 discussions is self-contained, thus allowing the misconceptions to be covered in any order without confusing the reader. Organized and presented in this manner, the book is an ideal supplement for any standard textbook. An ideal supplement for undergraduate and graduate courses in statistics, research methods, or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences. The book also appeals to independent researchers interested in undoing their statistical misconceptions.

Statistical Methods for Communication Science is the only statistical methods volume currently available that focuses exclusively on statistics in communication research. Writing in a straightforward, personal style, author Andrew F. Hayes offers this accessible and thorough introduction to statistical methods, starting with the fundamentals of measurement and moving on to discuss such key topics as sampling procedures, probability, reliability, hypothesis testing, simple correlation and regression, and analyses of variance and covariance. Hayes takes readers through each topic with clear explanations and illustrations. He provides a multitude of examples, all set in the context of communication research, thus engaging readers directly and helping them to see the relevance and importance of statistics to the field of communication. Highlights of this text include: *thorough and balanced coverage of topics; *integration of classical methods with modern "resampling" approaches to inference; *consideration of practical, "real world" issues; *numerous examples and applications, all drawn from communication research; *up-to-date information, with examples justifying use of various techniques; and *downloadable resources with macros, data sets, figures, and additional materials. This unique book can be used as a stand-alone classroom text, a supplement to traditional research methods texts, or a useful reference manual. It will be invaluable to students, faculty, researchers, and practitioners in communication, and it will serve to advance the understanding and use of statistical methods throughout the discipline.

The Psychology Research Companion: From student project to working life not only gives you the skills and confidence to conduct your psychology research project at university, but is the first book to show how these skills will help you get ahead in your first job in the workplace. Jessica S. Horst, an American psychologist teaching in the UK, takes you through every step of the research process; from conceiving your research question and choosing a research methodology, to organizing your time and resources effectively. The book includes sections on ethics, data management, working with research participants and report writing, but each chapter is also informed by the wider aim of providing a toolkit for working life. Each chapter is packed with tips and skills that can be taken into the workplace, including working collaboratively and organising your workload, as well as discussing your research project in interview situations and when applying for jobs. This invaluable guide will appeal to all undergraduate and postgraduate psychology students whose aim is to learn a set of transferable research skills as well as to obtain a good degree result.

Learn How to Infuse Leadership into Your Passion for Scientific Research Leadership and Women in Statistics explores the role of statisticians as leaders, with particular attention to women statisticians as leaders. By paying special attention to women's issues, this book provides a clear vision for the future of women as leaders in scientific and technical fields. It also shows how emerging and current leaders of both genders in many disciplines can expand their leadership potentials. Featuring contributions from leadership experts and statisticians at various career stages, this unique and insightful text: Examines leadership within the roles of statistician and data scientist from international and diverse perspectives Supplies a greater understanding of leadership within teams, research consulting, and project management Encourages reflection on leadership behaviors, promoting both natural and organizational leadership Identifies existing opportunities to foster creative outputs and develop strong leadership voices Includes real-life stories about overcoming barriers to leadership Leadership and Women in Statistics explains how to convert a passion for statistical science into visionary, ethical, and transformational leadership. Although the context focuses on statistics, the material applies to almost all fields of endeavor. This book is a valuable resource for those ready to consider leadership as an important element of their careers, and for those who are already leaders but want to deepen their perspectives on leadership. It makes an ideal text for group leadership training as well as for individual professional development.

For several decades there has been an increasing move towards viewing the psychotic illnesses from a dimensional perspective, seeing them as continuous with healthy functioning. The idea, concentrating mostly on schizophrenia, has generated considerable theoretical debate as well as empirical research, conducted under the rubric of 'schizotypy'. This book offers a timely discussion of the most significant themes and developments in this research area. Divided into four key sections which represent current concerns in schizotypy research - Measurement, Brain and Biology; Development and Environment; Consequences and Outcomes; and Future Directions - chapters reflect a broad range of approaches and discuss varied theoretical perspectives on schizotypy. Topics include: cognitive and perceptual biases psychometric assessments creativity and schizotypy genetic associations. developmental perspectives Schizotypy: New dimensions will appeal to academics, researchers and postgraduate students in the area of psychotic illnesses, as well as professionals including psychiatrists and clinical psychologists who are concerned with the basis of serious mental disorder. The book will inform readers who are new to the topic and will update and expand the knowledge base of those more experienced in the field.

This book provides an illustrative overview of some of the key methodological and technical innovations that form the cutting edge of current research in behavioral medicine. It is divided into three sections. Part I consists of six chapters describing the impact on behavioral medicine research of novel developments in diverse areas such as molecular genetics, neuroendocrine assessment, laboratory radionuclide measurement of cardiac function, and the development of electronic event monitors for measuring compliance with medication regimens. In addition, new applications of long-available assessment techniques in clinical neuropsychology to behavioral issues in cardiovascular disease are reviewed. Part II includes four chapters which review methods and programs of research dealing with aspects of the ambulatory monitoring of moods and behavioral activities in conjunction with a variety of physiological processes and/or disease states. Finally, Part III provides two chapters which focus on novel theoretical and/or conceptual approaches--instead of the typical methodological innovations--that have guided recent research in behavioral oncology and in cardiovascular disease and the clustering syndrome of cardiovascular risk factors that relate to insulin metabolism.

This approach gives the practical skills used by outstanding communicators. Excellent communication is the basis of creating excellent results. NLP skills are proving invaluable for personal development and professional excellence in counselling, education and business.Introducing NLP includes:• How to create rapport with others• Influencing skills• Understanding and using body language• How to think about and achieve the results you want• The art of asking key questions• Effective meetings, negotiations and selling• Accelerated learning strategies.

The Trouble with Twin Studies questions popular genetic explanations of human behavioral differences based upon the existing body of twin research. Psychologist Jay Joseph outlines the fallacies of twin studies in the context of the ongoing decades-long failure to discover genes for human behavioral differences, including IQ, personality, and the major psychiatric disorders. This volume critically examines twin research, with a special emphasis on reared-apart twin studies, and incorporates new and updated perspectives, analyses, arguments, and evidence.

Plenty of literature review and applications of various tests provided to cover all the aspects of research methodology Various examination questions have been provided Strong Pedagogy along with regular features such as Concept Checks, Text Overviews, Key Terms, Review Questions, Exercises and References Though the book is primarily addressed to students,it will be equally useful to Researchers and Entrepreneurs More than other research textbooks, this book addresses the students' need to comprehend all aspects of the research process which includes Research process, clarification of the research problem, Ethical issues, Survey research, Research report preparation and presentation.

Written specifically for those with no prior programming experience and minimal quantitative training, this accessible text walks behavioral science students and researchers through the process of programming using MATLAB. The book explores examples, terms, and programming needs relevant to those in the behavioral sciences and helps readers perform virtually any computational function in solving their research problems. Principles are illustrated with usable code. Each chapter opens with a list of objectives followed by new commands required to accomplish those goals. These objectives also serve as a reference to help readers easily relocate a section of interest. Sample code and output and chapter problems demonstrate how to write a program and explore a model so readers can see the results obtained using different equations and values. A web site provides solutions to selected problems and the book's program code output and examples so readers can manipulate them as needed. The outputs on the website have color, motion, and sound. Highlights of the new edition include: *Updated to reflect changes in the most recent version of MATLAB, including special tricks and new functions. *More information on debugging and common errors and more basic problems in the rudiments of MATLAB to help novice users get up and running more quickly. *A new chapter on Psychtoolbox, a suite of programs specifically geared to behavioral science research. *A new chapter on Graphical User Interfaces (GUIs) for user-friendly communication. *Increased emphasis on pre-allocation of memory, recursion, handles, and matrix algebra operators. The book opens with an overview of what is to come and tips on how to write clear programs followed by pointers for interacting with MATLAB, including its commands and how to read error messages. The matrices chapter reviews how to store and access data. Chapter 4 examines how to carry out calculations followed by a review of how to perform various actions depending on the conditions. The chapter on input and output demonstrates how to design programs to create dialogs with users (e.g., participants in studies) and read and write data to and from external files. Chapter 7 reviews the data types available in MATLAB. Readers learn how to write a program as a stand-alone module in Chapter 8. In Chapters 9 and 10 readers learn how to create line and bar graphs or reshape images. Readers learn how to create animations and sounds in Chapter 11. The book concludes with tips on how to use MATLAB with applications such as GUIs and Psychtoolbox. Intended as a primary text for Matlab courses for advanced undergraduate and/or graduate students in experimental and cognitive psychology and/or neuroscience as well as a supplementary text for labs in data (statistical) analysis, research methods, and computational modeling (programming), the book also appeals to individual researchers in these disciplines who wish to get up and running in MATLAB.

This groundbreaking edited book, The Routledge Handbook for Advancing Integration in Mixed Methods Research, presents an array of different integration ideas, with contributions from scholars across the globe. This handbook represents the first major volume that comprehensively discusses this topic of integration. Perhaps the most fundamental and longstanding question in mixed methods research is: How does one best integrate disparate forms of information to produce the best form of inquiry? Each of the 34 seminal chapters in this handbook accelerates the discussion of integration across a broad range of disciplines, including education, arts-based analyses, and work in the Global South, as well as special topics such as psychometrics and media research. Many of the chapters present new topics that have never been written about before, and all chapters offer cutting-edge approaches to integration. They also offer different perspectives of integration - leading the introductory chapter to offer a new and comprehensive definition for integration, as follows: "referring to the optimal mixing, combining, blending, amalgamating, incorporating, joining, linking, merging, consolidating, or unifying of research approaches, methodologies, philosophies, methods, techniques, concepts, language, modes, disciplines, fields, and/or teams within a single study." The concluding chapter offers a meta-framework that accounts for this definition and is designed to help scholars think more about integration in a way that represents a continuous, dynamic, iterative, interactive, synergistic, and holistic meaning-making process. This handbook will be an essential reference work for all scholars and practitioners using or seeking to use mixed methods in their research.

This is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are increasingly used in the social and behavioral sciences. Both basic and advanced designs are covered. Readers are shown how to apply power analysis to techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling. Each chapter opens with a review of the statistical procedure and then proceeds to derive the power functions. This is followed by examples that demonstrate how to produce power tables and charts. The book clearly shows how to calculate power by providing open code for every design and procedure in R, SAS, and SPSS. Readers can verify the power computation using the computer programs on the book's website. There is a growing requirement to include power analysis to justify sample sizes in grant proposals. Most chapters are self-standing and can be read in any order without much disruption.This book will help readers do just that. Sample computer code in R, SPSS, and SAS at www.routledge.com/9781848729810 are written to tabulate power values and produce power curves that can be included in a grant proposal. Organized according to various techniques, chapters 1 - 3 introduce the basics of statistical power and sample size issues including the historical origin, hypothesis testing, and the use of statistical power in t tests and confidence intervals. Chapters 4 - 6 cover common statistical procedures -- analysis of variance, linear regression (both simple regression and multiple regression), correlation, analysis of covariance, and multivariate analysis. Chapters 7 - 11 review the new statistical procedures -- multi-level models, meta-analysis, structural equation models, and longitudinal studies. The appendixes contain a tutorial about R and show the statistical theory of power analysis. Intended as a supplement for graduate courses on quantitative methods, multivariate statistics, hierarchical linear modeling (HLM) and/or multilevel modeling and SEM taught in psychology, education, human development, nursing, and social and life sciences, this is the first text on statistical power for advanced procedures. Researchers and practitioners in these fields also appreciate the book's unique coverage of the use of statistical power analysis to determine sample size in planning a study. A prerequisite of basic through multivariate statistics is assumed.

Multiple Imputation in Practice: With Examples Using IVEware provides practical guidance on multiple imputation analysis, from simple to complex problems using real and simulated data sets. Data sets from cross-sectional, retrospective, prospective and longitudinal studies, randomized clinical trials, complex sample surveys are used to illustrate both simple, and complex analyses. Version 0.3 of IVEware, the software developed by the University of Michigan, is used to illustrate analyses. IVEware can multiply impute missing values, analyze multiply imputed data sets, incorporate complex sample design features, and be used for other statistical analyses framed as missing data problems. IVEware can be used under Windows, Linux, and Mac, and with software packages like SAS, SPSS, Stata, and R, or as a stand-alone tool. This book will be helpful to researchers looking for guidance on the use of multiple imputation to address missing data problems, along with examples of correct analysis techniques.

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

Interpreting Statistics for Beginners teaches readers to correctly read and interpret results of basic statistical procedures as they are presented in scientific literature, and to understand what they can and cannot infer from such results.

The first of its kind, this book explains key elements of scientific paradigms and philosophical concepts that the use of statistics is based on and introduces readers to basic statistical concepts, descriptive statistics and basic elements and procedures of inferential statistics. Explanations are accompanied with detailed examples from scientific publications to demonstrate how the procedures are used and correctly interpreted. Additionally, Interpreting Statistics for Beginners shows readers how to recognize pseudoscientific claims that use statistics or statements not based on the presented data, which is an important skill for every professional relying on statistics in their work.

Written in an easy-to-read style and focusing on explaining concepts behind statistical calculations, the book is most helpful for readers with no previous training in statistics, and also those wishing to bridge the conceptual gap between doing the statistical calculations and interpreting the results.

Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric models and smoothing methods with longitudinal data. It covers methods, theories, and applications that are particularly useful for biomedical studies in the era of big data and precision medicine. It also provides flexible tools to describe the temporal trends, covariate effects and correlation structures of repeated measurements in longitudinal data. This book is intended for graduate students in statistics, data scientists and statisticians in biomedical sciences and public health. As experts in this area, the authors present extensive materials that are balanced between theoretical and practical topics. The statistical applications in real-life examples lead into meaningful interpretations and inferences. Features: * Provides an overview of parametric and semiparametric methods * Shows smoothing methods for unstructured nonparametric models * Covers structured nonparametric models with time-varying coefficients * Discusses nonparametric shared-parameter and mixed-effects models * Presents nonparametric models for conditional distributions and functionals * Illustrates implementations using R software packages * Includes datasets and code in the authors' website * Contains asymptotic results and theoretical derivations