Bodies that Birth puts birthing bodies at the centre of questions about contemporary birth politics, power, and agency. Arguing that the fleshy and embodied aspects of birth have been largely silenced in social science scholarship, Rachelle Chadwick uses an array of birth stories, from diverse race-class demographics, to explore the narrative entanglements between flesh, power, and sociomateriality in relation to birth. Adopting a unique theoretical framework incorporating new materialism, feminist theory, and a Foucauldian 'analytics of power', the book aims to trace and trouble taken-for-granted assumptions about birthing bodies. Through a diffractive and dialogical approach, the analysis highlights the interplay between corporeality, power, and ideologies in the making of birth narratives across a range of intersectional differences. The book shows that there is no singular birthing body apart from sociomaterial relations of power. Instead, birthing bodies are uncertain zones or unpredictable assortments of physiology, flesh, sociomateriality, discourse, and affective flows. At the same time, birthing bodies are located within intra-acting fields of power relations, including biomedicine, racialized patriarchy, socioeconomics, and geopolitics. Bodies that Birth brings the voices of women from different sociomaterial positions into conversation. Ultimately, the book explores how attending to birthing bodies can vitalize global birth politics by listening to what matters to women in relation to birth. This is fascinating reading for researchers, academics, and students from across the social sciences.

Now in its fourth edition, Behavioral Research and Analysis: An Introduction to Statistics within the Context of Experimental Design presents an overview of statistical methods within the context of experimental design. It covers fundamental topics such as data collection, data analysis, interpretation of results, and communication of findings. New in the Fourth Edition: Extensive improvements based on suggestions from those using this book in the classroom Statistical procedures that have been developed and validated since the previous edition Each chapter in the body now contains relevant key words, chapter summaries, key word definitions, and end of chapter exercises (with answers) Revisions to include recent changes in the APA Style Manual When looking for a book for their own use, the authors found none that were totally suitable. They found books that either reviewed the basics of behavioral research and experimental design but provided only cursory coverage of statistical methods or they provided coverage of statistical methods with very little coverage of the research context within which these methods are used. No single resource provided coverage of methodology, statistics, and communication skills. In a classic example of necessity being the mother of invention, the authors created their own. This text is ideal for a single course that reviews research methods, essential statistics through multi-factor analysis of variance, and thesis (or major project) preparation without discussion of derivation of equations, probability theory, or mathematic proofs. It focuses on essential information for getting a research project completed without prerequisite math or statistics training. It has been revised many times to help students at a variety of academic levels (exceptional high school students, undergraduate honors students, masters students, doctoral students, and post-doctoral fellows) across varied academic disciplines (e.g., human factors and ergonomics, behavioral and social sciences, natural sciences, engineering, exercise and sport sciences, business and management, industrial hygiene and safety science, health and medical sciences, and more). Illustrating how to plan, prepare, conduct, and analyze an experimental or research report, the book emphasizes explaining statistical procedures and interpreting obtained results without discussing the derivation of equations or history of the method. Destined to spend more time on your desk than on the shelf, the book will become the single resource you reach for again and again when conducting scientific research and reporting it to the scientific community. Illustrates how to plan, conduct, analyze, and prepare an experimental or research report Includes new statistical procedures that have been developed and validated since the previous edition Incorporates SAS in the exercises at the end of each chapter Takes into account the changes in the APA guidebook Provides new examples in exercise and sport science, public health, gerontology, and biomedical areas Solutions manual available upon qualifying course adoption

The goal of this book is to present and evaluate the concept of dynamic testing. Unlike "static" tests such as the SAT or IQ tests, it emphasizes learning potential rather than past learning accomplishments. This book is unique in its wide-ranging review of virtually all approaches to dynamic testing. It also suggests alternatives to the typical kinds of tests given in the United States--tests that often seem to stifle rather than encourage the development of human potential.

Starting Out in Methods and Statistics for Psychology: a Hands-on Guide to Doing Research takes first year psychology students through the entire process of doing research in psychology, from exploring designs and methods, to conducting step-by-step, by-hand data analysis, and writing up their findings, all in a friendly and accessible way. The text begins by presenting a thorough overview of research, explaining its central role in psychology as a science and exploring how to read and present research findings before introducing students to both qualitative and quantitative approaches to research. The author then explores experimental and correlational designs in detail, introducing the general principles before addressing the logic of the specific data analyses used in these forms of design. Dedicated chapters show students how to calculate independent and repeated t tests, and independent measures ANOVA in the experimental design section, and correlation and regression analyses in the correlation section. After guiding students through these essentials, the author moves on to a detailed explanation of when to use non-parametric tests, and again takes students through these data analyses in a carefully-paced series of hand calculations. The text concludes with a clear guide to when to use which test, and takes a look forward to the sorts of statistical analyses students will encounter in both published research and the next phase of their studies. Online Resource Centre For students: - A diagnostic maths test to help students identify their - strengths and weaknesses - Example lab reports (good and bad) - Example ethics applications forms - Full answers to the in-text study questions - SPSS screencasts - Links to papers and websites For lecturers: - Worksheets with additional datasets - Fully worked answers to worksheets - Testbank - Figures and tables from the book, ready to download - Animated solutions to the hand calculations

In her doctoral thesis, Mara Gerich makes an important contribution to research on the topic of teachers' counseling competence, particularly in the specific domain of parent-teacher talks with regard to the support of students' learning processes. The author gains insights that permit several implications for educational practice, particularly within the context of teacher preparation and continuing education. Parent counseling on the support of students' learning processes is emphasized as a central pedagogical task of teachers in international research on teacher professionalization and standards for teacher education.

With each new release of Stata, a comprehensive resource is needed to highlight the improvements as well as discuss the fundamentals of the software. Fulfilling this need, AHandbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to Stata version 9. This edition covers many new features of Stata, including a new command for mixed models and a new matrix language. Each chapter describes the analysis appropriate for a particular application, focusing on the medical, social, and behavioral fields. The authors begin each chapter with descriptions of the data and the statistical techniques to be used. The methods covered include descriptives, simple tests, variance analysis, multiple linear regression, logistic regression, generalized linear models, survival analysis, random effects models, and cluster analysis. The core of the book centers on how to use Stata to perform analyses and how to interpret the results. The chapters conclude with several exercises based on data sets from different disciplines. A concise guide to the latest version of Stata, A Handbook of Statistical Analyses Using Stata, Fourth Edition illustrates the benefits of using Stata to perform various statistical analyses for both data analysis courses and self-study.

This volume provides a fast and efficient way for undergraduate and graduate students to gain a solid understanding of the social psychology literature. Each chapter reviews a major subsection of research in the field, written by a leading social psychology researcher in that area. Coverage includes all the major empirical, theoretical and methodological developments in its subfield of social psychology. Beginning social psychologists, as well as those who may have emerged from their formal training with a less-than-solid grounding in the research literature, will find this volume invaluable. It is the book all social psychologists wished they had access to when they were getting grounded in the research literature!

The rising reliance on testing in American education and for licensure and certification has been accompanied by an escalation in cheating on tests at all levels. Edited by two of the foremost experts on the subject, the Handbook of Quantitative Methods for Detecting Cheating on Tests offers a comprehensive compendium of increasingly sophisticated data forensics used to investigate whether or not cheating has occurred. Written for practitioners, testing professionals, and scholars in testing, measurement, and assessment, this volume builds on the claim that statistical evidence often requires less of an inferential leap to conclude that cheating has taken place than do other, more common sources of evidence. This handbook is organized into sections that roughly correspond to the kinds of threats to fair testing represented by different forms of cheating. In Section I, the editors outline the fundamentals and significance of cheating, and they introduce the common datasets to which chapter authors' cheating detection methods were applied. Contributors describe, in Section II, methods for identifying cheating in terms of improbable similarity in test responses, preknowledge and compromised test content, and test tampering. Chapters in Section III concentrate on policy and practical implications of using quantitative detection methods. Synthesis across methodological chapters as well as an overall summary, conclusions, and next steps for the field are the key aspects of the final section.

Prepares readers to analyze data and interpret statistical results using the increasingly popular R more quickly than other texts through LessR extensions which remove the need to program. By introducing R through less R, readers learn how to organize data for analysis, read the data into R, and produce output without performing numerous functions and programming first. Readers can select the necessary procedure and change the relevant variables without programming. Quick Starts introduce readers to the concepts and commands reviewed in the chapters. Margin notes define, illustrate, and cross-reference the key concepts. When readers encounter a term previously discussed, the margin notes identify the page number to the initial introduction. Scenarios highlight the use of a specific analysis followed by the corresponding R/lessR input and an interpretation of the resulting output. Numerous examples of output from psychology, business, education, and other social sciences demonstrate how to interpret results and worked problems help readers test their understanding. www.lessRstats.com website features the lessR program, the book's 2 data sets referenced in standard text and SPSS formats so readers can practice using R/lessR by working through the text examples and worked problems, PDF slides for each chapter, solutions to the book's worked problems, links to R/lessR videos to help readers better understand the program, and more. New to this edition: o upgraded functionality and data visualizations of the lessR package, which is now aesthetically equal to the ggplot 2 R standard o new features to replace and extend previous content, such as aggregating data with pivot tables with a simple lessR function call.

Experience the art of Jay Haley's strategic therapy as he personally utilizes a variety of techniques in treating depression, violence, and psychosis with couples, children, families and various ethnic groups. Visit www.haley-therapies.com for additional resources by Jay Haley, including live videos of the pioneering therapist in action.

This book is organized into 3 general categories: the research process and how data that has been collected can be organized, presented and summarized (chapters 1 - 4); the process of conducting statistical analyses to test research questions, and hypotheses and issues and controversies regarding the process (chapters 5 - 10) and the last section which examines statistical procedures used in research situations that vary in the number of independent variables in the study, as well as how the independent and dependent variables have been measured (chapters 11 - 14). Every chapter contains learning checks which include review questions, and exercises are included at the end of every chapter to help assess what was learned.

While consumer research is founded on traditional quantitative approaches, the insight produced through qualitative research methods within consumer settings has not gone unnoticed. The culturally situated consumer, who is in intimate dialogue with their physical, virtual and social surroundings, has become integral to understanding the psychology behind consumer choices. This volume presents readers with theoretical and applied approaches to using qualitative research methods in ethnographic studies looking at consumer behavior. It brings together an international group of leading scholars in the field of consumer research, with educational and professional backgrounds in marketing, advertising, business, education, therapy and health. Researchers, teaching faculty, and students in the field of consumer and social psychology will benefit from the applied examples of qualitative and ethnographic consumer research this volume presents.

This book explores test adaptation, a scientific and professional activity now spanning all of the social and behavioural sciences. Adapting tests to various linguistic and cultural contexts is a critical process in today's globalized world, and requires a combination of knowledge and skills from psychometrics, cross-cultural psychology and others. This volume provides a step-by-step approach to cross-cultural test adaptation, emphatically presented as a melange between science and practice. The volume is driven by the first-hand practical experience of the author in a large number of test adaptation projects in various cultures, and is supported by the consistent scientific body of knowledge accumulated over the last several decades on the topic. It is the first of its kind: an in-depth treatise and guide on why and how to adapt a test to a new culture in such a way as to preserve its psychometric value.

How do biological and environmental factors influence the development of childhood and adolescent disorders? There has been a substantial increase of interest in research into child and adolescent psychopathology. In this book, Cecilia Essau brings together contributions from the UK, the US and Canada to provide a comprehensive summary of the information available on the subject. Beginning with an introduction to general issues related to child and adolescent psychopathology, including theoretical models of normal and abnormal development, each chapter goes on to address the issues associated with specific disorders, such as: oppositional defiant disorder and conduct disorder attention-deficit/hyperactivity disorder eating disorders substance use disorders somatoform disorders. The contributors present a thorough overview of each disorder, including discussion of definition and classification, epidemiology, risk factors, comorbidity, course, outcome and prevention. Child & Adolescent Psychopathology will be welcomed by all mental health professionals seeking a reliable source of scientifically and clinically relevant information on the nature and treatment of child and adolescent disorders.

Mental illness causes a substantial health burden in all regions of the world, and is a major contributor to world poverty. Developing a National Mental Health Policy is designed to support those involved in developing locally appropriate mental health policies, emphasising the crucial role of primary care, NGOs, the social sector, schools and workplaces, and the criminal justice system as well as the specialist mental health services. The book addresses the principles of human rights, mental health legislation, mental health information systems, human resources, accountability and financing as well as key cultural issues. It gives a comprehensive and up to date account of the task of tailoring mental health services to the needs of countries in the post-institutional era.

Paranoia is the suspicion that other intend to cause you harm. It is a common experience in the general population, though often overlooked. In its most severe form, paranoia occurs as persecutory delusions. Paranoia, written by leading researchers in this field, is the first cognitive psychology book to have persecutory delusions as its focus. Scholarly, comprehensive and illustrated by clinical examples throughout, this study defines the phenomena in detail and analyses the content of persecutory delusions. It reviews previous psychological writings, explores the relationship between psychosis and neurosis, reports on innovative empirical studies with patients, and highlights future essential research directions. Paranoia outlines a new theoretical model of the formation and maintenance of persecutory delusions, providing an excellent guide to this important clinical topic. It will be of great interest and use to all psychiatrists and clinical psychologists who work in this field.

Acculturation is the process of group and individual changes in culture and behaviour that result from intercultural contact. These changes have been taking place forever, and continue at an increasing pace as more and more peoples of different cultures move, meet and interact. Variations in the meanings of the concept, and some systematic conceptualisations of it are presented. This is followed by a survey of empirical work with indigenous, immigrant and ethnocultural peoples around the globe that employed both ethnographic (qualitative) and psychological (quantitative) methods. This wide-ranging research has been undertaken in a quest for possible general principles (or universals) of acculturation. This Element concludes with a short evaluation of the field of acculturation; its past, present and future.

Modern Applied Regressions creates an intricate and colorful mural with mosaics of categorical and limited response variable (CLRV) models using both Bayesian and Frequentist approaches. Written for graduate students, junior researchers, and quantitative analysts in behavioral, health, and social sciences, this text provides details for doing Bayesian and frequentist data analysis of CLRV models. Each chapter can be read and studied separately with R coding snippets and template interpretation for easy replication. Along with the doing part, the text provides basic and accessible statistical theories behind these models and uses a narrative style to recount their origins and evolution. This book first scaffolds both Bayesian and frequentist paradigms for regression analysis, and then moves onto different types of categorical and limited response variable models, including binary, ordered, multinomial, count, and survival regression. Each of the middle four chapters discusses a major type of CLRV regression that subsumes an array of important variants and extensions. The discussion of all major types usually begins with the history and evolution of the prototypical model, followed by the formulation of basic statistical properties and an elaboration on the doing part of the model and its extension. The doing part typically includes R codes, results, and their interpretation. The last chapter discusses advanced modeling and predictive techniques-multilevel modeling, causal inference and propensity score analysis, and machine learning-that are largely built with the toolkits designed for the CLRV models previously covered. The online resources for this book, including R and Stan codes and supplementary notes, can be accessed at https://sites.google.com/site/socjunxu/home/statistics/modern-applied-regressions.

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The contentious issues of p-values and confidence intervals are also discussed in the introductory chapter. After describing graphical methods, the book covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven chapters deal with multivariate analysis, including principal components analysis, factor analysis, multidimensional scaling, correspondence analysis, and cluster analysis. Features: Presents an accessible introduction to multivariate analysis for behavioral scientists Contains a large number of real data sets, including cognitive behavioral therapy, crime rates, and drug usage Includes nearly 100 exercises for course use or self-study Supplemented by a GitHub repository with all datasets and R code for the examples and exercises Theoretical details are separated from the main body of the text Suitable for anyone working in the behavioral sciences with a basic grasp of statistics

What is it that drives people to undertake music research? Such interest frequently grows from on-the-ground experiences as learners, performers, facilitators, composers, arts administrators, and educators. It can emerge, for example, from music teachers trying out new teaching methods, performers wishing to know more about how to improvise effectively, educators pursuing the most effective ways to structure music curricula, musicians aiming to explain why their music enhances wellbeing among different groups of people, and orchestral managers seeking to promote and protect the health of their players. At the heart of all of these enquiries lies a question of some sort, and it is these research questions that determine the direction of the research to be undertaken. Performing Music Research is a comprehensive guide to planning, conducting, analyzing, and communicating research in music performance. The book examines the approaches and strategies that underpin research in music education, psychology, and performance science. It reviews the knowledge and skills needed to critique existing studies in these fields and to design and carry out new investigations. Perspectives on qualitative, quantitative, and multistrategy methodologies are highlighted across the book in ways that help aspiring researchers bring precision to their research questions, select methods that are appropriate for addressing their questions, and apply those methods systematically and rigorously. Each chapter contains a study guide, comprising a chapter summary, a list of keywords, and suggestions for further discussion, and the book concludes with a resources section, including a glossary and supplementary material to support advanced statistical analysis. The book''s companion website provides information designed to facilitate access to original research and to test knowledge and understanding.

Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention to the modeling concerns that are unique to longitudinal data. Written in a conversational style, the text provides verbal and visual interpretation of model equations to aid in their translation to empirical research results. Overviews and summaries, boldfaced key terms, and review questions will help readers synthesize the key concepts in each chapter. "

Written for non-mathematically-oriented readers, this text features:

• "
• A description of the data manipulation steps required prior to model estimation so readers can more easily apply the steps to their own data
• An emphasis on how the terminology, interpretation, and estimation" "of familiar general linear models relates to those of more complex models for longitudinal data
• Integrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers understanding of the overall model-building process
• Sample results sections for each example to provide useful templates for published reports
• Examples using both real and simulated data in the text, along with syntax and output for SPSS, SAS, STATA, and M"plus" at www.PilesOfVariance.com to help readers apply the models to their own data

The book opens with the building blocks of longitudinal analysis general ideas, the general linear model for between-person analysis, and between- and within-person models for the variance and the options within repeated measures analysis of variance. Section 2 introduces "unconditional "longitudinal models including alternative covariance structure models to describe within-person fluctuation over time and random effects models for within-person change. "Conditional "longitudinal models are presented in section 3, including both time-invariant and time-varying predictors. Section 4 reviews advanced applications, including alternative metrics of time in accelerated longitudinal designs, three-level models for multiple dimensions of within-person time, the analysis of individuals in groups over time, and repeated measures designs not involving time. The book concludes with additional considerations and future directions, including an overview of sample size planning and other model extensions for non-normal outcomes and intensive longitudinal data.

Class-tested at the University of Nebraska-Lincoln and in intensive summer workshops, this is an ideal text for graduate-level courses on longitudinal analysis or general multilevel modeling taught in psychology, human development and family studies, education, business, and other behavioral, social, and health sciences. The book s accessible approach will also help those trying to learn on their own. Only familiarity with general linear models (regression, analysis of variance) is needed for this text."

Presenting a new frame of reference, the author argues that Freud's theories are not the result of his genius alone but were developed in exchange with colleagues and students, which is not always apparent at first glance. Replete with examples, the author reconstructs who the theories were addressed to and the discursive context they originally belonged to, thus presenting fresh and surprising readings of Freud's oeuvre. The book also offers a glimpse into Freud's practice. For the first time, Freud's patient record books which he kept for ten years, are being reviewed, offering readers the hard facts about the length and frequency of Freud's analyses.

Research Methods is an introduction to the importance of scientific research in everyday life and uses familiar examples to keep students engaged. The text analyzes controversies in psychology to stimulate student interest while explaining crucial methodological concepts. It presents ethical issues related to research, as well as social and cultural factors that might affect it, and provides a comprehensive introduction to a wide variety of methodologies. Through this book, students will learn how to generate research questions and select appropriate methodology, as well as to write a successful research report.

*What do advanced statistical techniques do? *When is it appropriate to use them? *How are they carried out and reported? There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. Most books which describe these techniques do so at too advanced or technical a level to be readily understood by many students who need to use them. In contrast the following features characterise this book: - concise and accessible introduction to calculating and interpreting advanced statistical techniques - use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of the most important statistics in each technique - succinct illustration of writing up the results of these analyses - minimum of mathematical, statistical and technical notation - annotated bibliography and glossary of key concepts Commonly used software is introduced, and instructions are presented for carrying out analyses and interpreting the output using the computer programs of SPSS Release 11 for Windows and a version of LISREL 8.51, which is freely available online. Designed as a textbook for postgraduate and advanced undergraduate courses across the socio-behavioural sciences, this book will also serve as a personal reference for researchers in disciplines such as sociology and psychology.