Designed for introductory research courses in the professional fields and social sciences, this text acquaints students and beginning researchers with a broad view of research methodologies and an understanding of the assumptions that inform each of these approaches. More experienced researchers will also find the book useful in acquainting them with methodologies and theoretical frameworks that are new to them. The text is distinguished by its avoidance of using the discreet categories of qualitative and quantitative methods to organize the chapters. While some chapter authors rely more on one or the other, many employ multiple methodologies to investigate particular problems and questions. Further, the book is not organized into single, contradictory positivist-interpretivist categories of research; chapter authors often situate methodologies within a variety of, and sometimes multiple, theoretical positions, particularly as these approaches are shaped by the historical context of social science research. Focus points in Foundations for Research: Methods of Inquiry in Education and the Social Sciences: research ethics.intertwined relationship of theory and research design. systematic examination of ways to design and implement high-quality, trustworthy research across varying research designs. specific methods for implementing research within various frameworks. pedagogical strategies.

Since most datasets contain a number of variables, multivariate methods are helpful in answering a variety of research questions. Accessible to students and researchers without a substantial background in statistics or mathematics, Essentials of Multivariate Data Analysis explains the usefulness of multivariate methods in applied research. Unlike most books on multivariate methods, this one makes straightforward analyses easy to perform for those who are unfamiliar with advanced mathematical formulae. An easily understood dataset is used throughout to illustrate the techniques. The accompanying add-in for Microsoft Excel can be used to carry out the analyses in the text. The dataset and Excel add-in are available for download on the book's CRC Press web page. Providing a firm foundation in the most commonly used multivariate techniques, this text helps readers choose the appropriate method, learn how to apply it, and understand how to interpret the results. It prepares them for more complex analyses using software such as Minitab, R, SAS, SPSS, and Stata.

Although articles reporting research studies are helpful in acquainting students with methodological approaches, they often make the process look so straightforward, clean, and effortless. It is rare to find an article that tells the "real" story behind the finished product. By having real researchers tell their own stories of "mucking around" with methodological and ethical issues in qualitative research, we get a more realistic, human story of the process. This is a collection of such stories. Authors were asked to describe their own experiences with methodological and ethical struggles as they engaged in their work. Each of the essays offers insight into the research approach used as well as particular issues which became apparent during the research process. Key issues raised by the authors include early learnings; gaining entry; overlapping, conflicting roles, and the boundaries of these roles; differential power relationships; who tells the story and whose story is told; ethical concerns related to confidentiality; and the influence of a researcher's particular philosophy or theoretical framework on his or her research. Throughout the book we see scholars whose personal stories or autobiographies intersect closely with their research projects. deMarrais introduces a unique framework to help students gain an overview of qualitative research methods and the underpinnings and processes in these approaches. This framework is centered on the ways we understand phenomena using qualitative research approaches that engage archival knowledge, narrative knowledge, or observational knowledge.

This book is designed primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. The focus is on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using Mplus as the software tool, and demonstrating the various functions available for these analyses in Mplus, which is widely used by researchers in various fields, including most of the social sciences. In particular, Mplus offers users a wide array of tools for latent variable modelling, including for multilevel data.

This short book introduces the main ideas of statistical inference in a way that is both user friendly and mathematically sound. Particular emphasis is placed on the common foundation of many models used in practice. In addition, the book focuses on the formulation of appropriate statistical models to study problems in business, economics, and the social sciences, as well as on how to interpret the results from statistical analyses. The book will be useful to students who are interested in rigorous applications of statistics to problems in business, economics and the social sciences, as well as students who have studied statistics in the past, but need a more solid grounding in statistical techniques to further their careers. Jacco Thijssen is professor of finance at the University of York, UK. He holds a PhD in mathematical economics from Tilburg University, Netherlands. His main research interests are in applications of optimal stopping theory, stochastic calculus, and game theory to problems in economics and finance. Professor Thijssen has earned several awards for his statistics teaching.

This book sheds new light on the life and the influence of one of the most significant critical thinkers in psychology of the last century, Theodore R. Sarbin (1911-2005). In the first section authors provide a comprehensive account of Sarbin's life and career. The second section consists in a collection of ten publications from the last two decades of his career. The essays cover topics such as the adoption of contextualism as the appropriate world view for psychology, the establishment of narrative psychology as a major mode of inquiry, and the rejection both mechanism and mentalism as suitable approaches for psychology. The book is historically informed and yet focused on the future of psychological theory and practice. It will engage researches and scholars in psychology, social scientists and philosophers, as well general readership interested in exploring Sarbin's theories.

For disciplines concerned with human well-being, such as medicine, psychology, and law, statistics must be used in accordance with standards for ethical practice. A Statistical Guide for the Ethically Perplexed illustrates the proper use of probabilistic and statistical reasoning in the behavioral, social, and biomedical sciences. Designed to be consulted when learning formal statistical techniques, the text describes common instances of both correct and false statistical and probabilistic reasoning. Lauded for their contributions to statistics, psychology, and psychometrics, the authors make statistical methods relevant to readers day-to-day lives by including real historical situations that demonstrate the role of statistics in reasoning and decision making. The historical vignettes encompass the English case of Sally Clark, breast cancer screening, risk and gambling, the Federal Rules of Evidence, "high-stakes" testing, regulatory issues in medicine, difficulties with observational studies, ethics in human experiments, health statistics, and much more. In addition to these topics, seven U.S. Supreme Court decisions reflect the influence of statistical and psychometric reasoning and interpretation/misinterpretation. Exploring the intersection of ethics and statistics, this comprehensive guide assists readers in becoming critical and ethical consumers and producers of statistical reasoning and analyses. It will help them reason correctly and use statistics in an ethical manner.

Software is cut-and-dried - every button you press has a predictable effect - but qualitative analysis is open-ended and unfolds in unpredictable ways. This contradiction is best resolved by separating analytic strategies - what you plan to do - from software tactics - how you plan to do it. The Five-Level QDA (R) method unpacks the process so that you can learn it consciously and efficiently. In this three-volume set covering ATLAS.ti, NVivo and MAXQDA, authors Nicholas Woolf and Christina Silver provide a comprehensive guide to qualitative data analysis using popular software packages. The first part of each book explains how the contradiction between analytic strategies and software tactics is reconciled by "translating" between them. The second part provides both an in-depth description of how the package works and comprehensive instruction in the five steps of "translation". these steps are illustrated with examples from a variety of research projects. The third part contains real-world qualitative research projects from a variety of disciplines, methodologies, and kinds of qualitative analysis, all illustrated in the software package using the Five-Level QDA method. Each book is accompanied by three sets of video demonstrations on the Companion Website: https://www.qdaservices.co.uk/five-level-qda

Originally published in 1976, the authors of six of the most widely quoted works in behavioural science related to education, at the time, here describe in detail their research work, including its origins, planning and implementation. The accounts are unusual, not only for their technical detail but for their candour. The brief was to put the heart and brains back into accounts of research so the authors comment not only on the research design, but on the personal and professional problems they had to overcome. They also reflect on the reception of their work, and the way in which it has been adapted, misunderstood or deliberately distorted to support arguments of widely differing ideological pressure groups. The book shows how ingenuity and persistence as well as technical competence lie at the heart of the research process. The authors do not give the normal depersonalised, streamlined account which gives a false, mechanical picture of research as an occupation, but show it to be a profound personal and professional experience as they comment on the thought that lay behind their work and the way it was finally produced for publication. Dr Shipman has written a short introduction to each chapter, and contributed a concluding chapter relating the six research experiences to conventional views on the research process and to the part played by research evidence in policy making.

Designed for a graduate course in applied statistics, Nonparametric Methods in Statistics with SAS Applications teaches students how to apply nonparametric techniques to statistical data. It starts with the tests of hypotheses and moves on to regression modeling, time-to-event analysis, density estimation, and resampling methods. The text begins with classical nonparametric hypotheses testing, including the sign, Wilcoxon sign-rank and rank-sum, Ansari-Bradley, Kolmogorov-Smirnov, Friedman rank, Kruskal-Wallis H, Spearman rank correlation coefficient, and Fisher exact tests. It then discusses smoothing techniques (loess and thin-plate splines) for classical nonparametric regression as well as binary logistic and Poisson models. The author also describes time-to-event nonparametric estimation methods, such as the Kaplan-Meier survival curve and Cox proportional hazards model, and presents histogram and kernel density estimation methods. The book concludes with the basics of jackknife and bootstrap interval estimation. Drawing on data sets from the author's many consulting projects, this classroom-tested book includes various examples from psychology, education, clinical trials, and other areas. It also presents a set of exercises at the end of each chapter. All examples and exercises require the use of SAS 9.3 software. Complete SAS codes for all examples are given in the text. Large data sets for the exercises are available on the author's website.

Statistical methodology is often conceived by social scientists in a technical manner; they use it for support rather than for illumination. This two-volume set attempts to provide some partial remedy to the problems that have led to this state of affairs. Both traditional issues, such as analysis of variance and the general linear model, as well as more novel methods like exploratory data analysis, are included. The editors aim to provide an updated survey on different aspects of empirical research and data analysis, facilitate the understanding of the internal logic underlying different methods, and provide novel and broader perspectives beyond what is usually covered in traditional curricula.

Participation is a vital element of working with children and young people ensuring that services are meeting their needs as well as promoting citizenship, resilience and general well-being. The Evaluator s Cookbook contains 21 participatory evaluation exercises for use with children, young people and families/community groups. Attractively and clearly presented, the exercises are very easy to use and come with suggestions for use and instructions on how to create the equipment needed. They will appeal to a wide range of people and can be used in a variety of informal and formal settings and most of the exercises are suitable for use with disabled children or children with special needs, as well as people with English as a second language. The book also explores why, how and where participatory research and evaluation should take place and provides suggestions on how the findings can be presented in imaginative ways. This unique book is an invaluable resource for those wishing to consult with children and families or evaluate social, health and education services in diverse cultural settings.

This new edition of one of the most widely read textbooks in its field introduces the reader to data analysis with the most powerful and versatile statistical package on the market: IBM SPSS Statistics 19. Each new release of SPSS Statistics features new options and other improvements. There remains a core of fundamental operating principles and techniques which have continued to apply to all releases issued in recent years and have been proved to be worth communicating in a small volume. This practical and informal book combines simplicity and clarity of presentation with a comprehensive treatment of the use of IBM SPSS Statistics 19 for the description, exploration and confirmation of data. As in earlier editions, coverage has been extended to address the issues raised by readers since the previous edition. In this edition, there is an introduction to the Analysis of Covariance (ANCOVA). Each statistical technique is presented in a realistic research context and is fully illustrated with annotated screen shots of SPSS dialog boxes and output. The first chapter sets the scene with a survey of typical research situations, key terms and clear signposts to the location of each technique in the book. It also offers guidance on the choice of statistical techniques, and advice (based on the American Psychological Association's guidelines) on how to report the results of a statistical analysis. The next chapters introduce the reader to the use of SPSS, beginning with the entry, description and exploration of data. There is also a full description of the capabilities of the versatile Chart Builder. Each of the remaining chapters concentrates on one particular kind of research situation and the statistical techniques that are appropriate. In summary, IBM SPSS Statistics 19 Made Simple Gets you started with SPSS. Shows you how to describe and explore a data set with the help of SPSS's extensive

Computer simulation has become an important means for obtaining knowledge about nature. The practice of scientific simulation and the frequent use of uncertain simulation results in public policy raise a wide range of philosophical questions. Most prominently highlighted is the field of anthropogenic climate change are humans currently changing the climate? Referring to empirical results from science studies and political science, Simulating Nature: A Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice, Second Edition addresses questions about the types of uncertainty associated with scientific simulation and about how these uncertainties can be communicated. The author, who participated in the United Nations Intergovernmental Panel on Climate Change (IPCC) plenaries in 2001 and 2007, discusses the assessment reports and workings of the IPCC. This second edition reflects the latest developments in climate change policy, including a thorough update and rewriting of sections that refer to the IPCC.

This comprehensive reference organizes extensive definitions and examples of key concepts in quantitative research into a single, convenient source. Alphabetically arranged and cross-referenced, The Handbook of Research and Quantitative Methods In Psychology presents: experimental procedures, research designs, statistical methods, information theory, psychophysics, behavioral terminology, scaling and testing.

In Real Data, students predict the answers to interesting questions. Then they analyze data supplied by leading researchers to see if there is empirical support for their predictions. Students get practice in computing all the major statistics usually covered in an introductory statistics course. Because each of the 35 exercises in Part A deals with only a limited number of statistics, the workbook is easily coordinated with all introductory statistics textbooks. Part A emphasizes small data sets that are useful whether students are using calculators or computers. The exercises in this part are highly structured so students know exactly what is required of them. Part B provides larger data sets for comprehensive analysis by computer users. Loosely structured, the data sets allow you to specify which statistics should be computed. Sample topics: Kissing and Sexual Harassment; Basic Trust of Rape Survivors; Gambling and Stealing; Pregnancy Risk Among Adolescents Who Had Been Sexually Abused; Boys Interacting with Their Fathers; Racial Differences in Seeking Medical Assistance; Instructors Clothing and Student Evaluations; Students Attitudes Toward Math; and Physician-Assisted Suicide. Using real data for analysis makes the traditional statistics class come alive.

Software is cut and dried - every button you press has a predictable effect - but qualitative analysis is open ended and unfolds in unpredictable ways. This contradiction is best resolved by separating analytic strategies - what you plan to do - from software tactics - how you plan to do it. Expert NVivo users have unconsciously learned to do this. The Five-Level QDA (R) method unpacks the process so that you can learn it consciously and efficiently. The first part of the book explains how the contradiction between analytic strategies and software tactics is reconciled by "translating" between them. The second part provides both an in-depth description of how NVivo works and comprehensive instruction in the five steps of "translation". These steps are illustrated with examples from a variety of research projects. The third part contains real-world qualitative research projects from a variety of disciplines, methodologies, and kinds of qualitative analysis, all illustrated in NVivo using the Five-Level QDA method. The book is accompanied by three sets of video demonstrations on the companion website. The book and accompanying videos illustrate the Windows version of NVivo. As there are some differences in screen and interface design between the Mac and Windows versions please watch the video 'The NVivo Mac Interface' in the Component Orientation series of videos (available on the companion website). The Five-Level QDA method is based on the authors' combined 40 years of experience teaching NVivo and other software packages used as platforms for conducting qualitative analysis. After many years observing their students' challenges they developed the Five-Level QDA method to describe the process that long-time NVivo experts unconsciously adopt. The Five-Level QDA method is independent of software program or methodology, and the principles apply to any type of qualitative project. Please see the following URL to access the accompanying materials for this book: https://www.qdaservices.co.uk/five-level-qda

Software is cut-and-dried - every button you press has a predictable effect - but qualitative analysis is open-ended and unfolds in unpredictable ways. This contradiction is best resolved by separating analytic strategies - what you plan to do - from software tactics - how you plan to do it. Expert MAXQDA users have unconsciously learned to do this. The Five-Level QDA (R) method unpacks the process so that you can learn it consciously and efficiently. The first part of the book explains how the contradiction between analytic strategies and software tactics is reconciled by "translating" between them. The second part provides both an in-depth description of how MAXQDA works and comprehensive instruction in the five steps of "translation". These steps are illustrated with examples from a variety of research projects. The third part contains real-world qualitative research projects from a variety of disciplines, methodologies, and kinds of qualitative analysis, all illustrated in MAXQDA using the Five-Level QDA method. The book is accompanied by three sets of video demonstrations on the Companion Website. The functionality and interface design of MAXQDA for Windows and Mac are identical. The Five-Level QDA method learned from this book is therefore the same whether you are working on a Mac or Windows computer. The Five-Level QDA method is based on the authors' combined 40 years of experience teaching MAXQDA and other software packages used as platforms for conducting qualitative analysis. After many years observing their students' challenges they developed the Five-Level QDA method to describe the process that long-time MAXQDA experts unconsciously adopt. The Five-Level QDA method is independent of software program or methodology, and the principles apply to any type of qualitative project. Please see the following URL to access the accompanying materials for this book: https://www.qdaservices.co.uk/five-level-qda

Primary research in education and social sciences is marked by a diversity of methods and perspectives. How can we accommodate and reflect such diversity at the level of synthesizing research? What are the critical methodological decisions in the process of a research synthesis, and how do these decisions open up certain possibilities, while closing down others? This book draws upon methodologically diverse literature on research synthesis methods and primary research methods to develop a framework for synthesizing research. It presents a Methodologically Inclusive Research Synthesis framework to facilitate critical and informed decision-making among the producers and users of research synthesis. Three guiding principles for a quality research synthesis are proposed: informed subjectivity and reflexivity, purposefully informed selective inclusivity, and audience-appropriate transparency. The book then provides a thorough discussion of how these principles might be enacted in the following six phases: -identifying an appropriate epistemological orientation -identifying an appropriate purpose -searching for relevant literature -evaluating, interpreting and distilling evidence from selected studies -constructing connected understandings -communicating with an audience. A wide range of techniques and perspectives from postpositivist, interpretive, participatory, critical and postmodern traditions are considered in the book, and Suri opens up new areas of debate by exploring numerous aspects of research syntheses from a methodologically inclusive perspective. The book will be valuable reading for researchers and postgraduates in education and social sciences.

This second edition of Design of Observational Studies is both an introduction to statistical inference in observational studies and a detailed discussion of the principles that guide the design of observational studies. An observational study is an empiric investigation of effects caused by treatments when randomized experimentation is unethical or infeasible. Observational studies are common in most fields that study the effects of treatments on people, including medicine, economics, epidemiology, education, psychology, political science and sociology. The quality and strength of evidence provided by an observational study is determined largely by its design. Design of Observational Studies is organized into five parts. Chapters 2, 3, and 5 of Part I cover concisely many of the ideas discussed in Rosenbaum's Observational Studies (also published by Springer) but in a less technical fashion. Part II discusses the practical aspects of using propensity scores and other tools to create a matched comparison that balances many covariates, and includes an updated chapter on matching in R. In Part III, the concept of design sensitivity is used to appraise the relative ability of competing designs to distinguish treatment effects from biases due to unmeasured covariates. Part IV is new to this edition; it discusses evidence factors and the computerized construction of more than one comparison group. Part V discusses planning the analysis of an observational study, with particular reference to Sir Ronald Fisher's striking advice for observational studies: "make your theories elaborate." This new edition features updated exploration of causal influence, with four new chapters, a new R package DOS2 designed as a companion for the book, and discussion of several of the latest matching packages for R. In particular, DOS2 allows readers to reproduce many analyses from Design of Observational Studies.

Features: Provides an overview of methods for assessing the reliability of generating data Expands a statistic proposed by the author, already widely used in the social sciences Includes many easy to follow numerical examples to illustrate the measures Written to be useful to beginning and advanced researchers from many disciplines, notably linguistics, sociology, psychometric and educational research, and medical science.

A Step-by-Step Guide for Working with Violent Clients

Renowned family therapist Cloe Madanes presents a therapy of social action, a proven model of therapeutic intervention developed for professionals who work with violent men. At the very heart of this approach is the conviction that the offAnder is fully responsible for his actions. As evidence of this core belief, a therapy of social action requires the offAnder to acknowledge his violent actions, demonstrate authentic repentance, make amAnds to the victim, and find acceptable alternative behaviors.

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

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

Do you want to spend less time studying but end up with better grades, and a deeper understanding of the subject? Studying psychology is a skill that can be learned. In this unique and practical 'how to' guide, Warren Davies offers some simple techniques that will enable students to retain information, organise their workload, and be more productive. By applying some simple and easy-to-make changes to your study habits, you will learn how to: Get more work done in less time Use memory techniques to help you breeze through exams Beat procrastination Develop a deep grasp of difficult topics Write excellent essays (including how to avoid the seven most common essay errors) Cut your study time in half Understand the 'results' section of research papers Write a dissertation to publishable standard. This book is written specifically with psychology undergraduate students in mind, and as such will enhance your learning and improve your grades with techniques that actually work.