First published in 1997, this volume from the Bruton Center for Development Studies examines urban productivity and the Korean urban system. The Center recognizes the growing significance of information and technology in local, national and global development. Research conducted within the Center includes both theoretical and empirical investigations of regional housing markets; mobility and location choices of households and businesses; interaction of land use and transportation; relationships between spatial patterns of development and the dynamics of regional economies, and on the interaction of market forces and public policies in shaping development.

This new addition to our successful series introduces students to the elements of psychological research design, as well as providing some help with the use of statistical techniques. Topics covered include the planning and carrying out of an investigation, presenting and interpreting results and writing reports and the text concludes with outlines of various specific studies.

Although many books currently available describe statistical models and methods for analyzing longitudinal data, they do not highlight connections between various research threads in the statistical literature. Responding to this void, Longitudinal Data Analysis provides a clear, comprehensive, and unified overview of state-of-the-art theory and applications. It also focuses on the assorted challenges that arise in analyzing longitudinal data.

After discussing historical aspects, leading researchers explore four broad themes: parametric modeling, nonparametric and semiparametric methods, joint models, and incomplete data. Each of these sections begins with an introductory chapter that provides useful background material and a broad outline to set the stage for subsequent chapters. Rather than focus on a narrowly defined topic, chapters integrate important research discussions from the statistical literature. They seamlessly blend theory with applications and include examples and case studies from various disciplines.

Destined to become a landmark publication in the field, this carefully edited collection emphasizes statistical models and methods likely to endure in the future. Whether involved in the development of statistical methodology or the analysis of longitudinal data, readers will gain new perspectives on the field.

This is the first book to compare eight LDFs by different types of datasets, such as Fisher's iris data, medical data with collinearities, Swiss banknote data that is a linearly separable data (LSD), student pass/fail determination using student attributes, 18 pass/fail determinations using exam scores, Japanese automobile data, and six microarray datasets (the datasets) that are LSD. We developed the 100-fold cross-validation for the small sample method (Method 1) instead of the LOO method. We proposed a simple model selection procedure to choose the best model having minimum M2 and Revised IP-OLDF based on MNM criterion was found to be better than other M2s in the above datasets. We compared two statistical LDFs and six MP-based LDFs. Those were Fisher's LDF, logistic regression, three SVMs, Revised IP-OLDF, and another two OLDFs. Only a hard-margin SVM (H-SVM) and Revised IP-OLDF could discriminate LSD theoretically (Problem 2). We solved the defect of the generalized inverse matrices (Problem 3). For more than 10 years, many researchers have struggled to analyze the microarray dataset that is LSD (Problem 5). If we call the linearly separable model "Matroska," the dataset consists of numerous smaller Matroskas in it. We develop the Matroska feature selection method (Method 2). It finds the surprising structure of the dataset that is the disjoint union of several small Matroskas. Our theory and methods reveal new facts of gene analysis.

"It is much better," observed C. Wright Mills in an essay on intellectual craftsmanship, "to have one account by a working student of how he is going about his work than a dozen aecodifications of procedure' by specialists who often as not have never done much work of consequence." This observation underscores the premise of this book: that there is a need for students to communicate the procedures and strategies of field research they have found consequential in their own studies to the less instructed or less experienced. The contributors to this book are well known researchers and share their field-developed techniques of research craftsmanship. The pathways to data they describe wind in a common direction, toward a concern with research happenings in situations: in agencies, associations, institutions, campaigns, demonstrations, and goal-directed social movements.

The selections included in "Pathways to Data" are neither biographies of research projects nor subjective evaluations of personal experiences. Rather, the writers emphasize techniques, operations, and know-how. "Pathways to Data"'s chapters are collateral cousins to the collection of research biographies found in "Sociologists at Work," another classic in the field. But the lineage, or progression of thought, traces back to the Webbs' "Methods of Social Study," and is most closely related to the Glaser and Strauss volume, "The Discovery of Grounded Theory."

The contributors to this book reflect a common concern with organization in the "down home" sense of social bonds opening and closing, of self-involvement, and most importantly social structure. Process is stressed above system, becoming over being. Seen programatically, field methods deliver data to concepts, and techniques are grounded in the heuristic value such data display. Theory is grounded in concepts validated by the effectiveness with which they give meaning to the data. The production of social knowledge is symmetrical, reciprocal, but analytically divisible. The student of society will consequently find an assortment of knowledges that makes large portions of our society more understandable.

"Robert W. Habenstein" is emeritus professor of sociology at the College of Arts and Sciences, University of Missouri-Columbia. He is the author of "History of American Funeral Directing, The Family in Various Cultures," and "Ethnic Families in America: Patterns and Variations" (Fourth Edition).

Population control requires that the birth rate equal to the death rate. If it is too low, population will decline; if it is too high, population will increase. If either condition persists long enough the population will diminish towards zero or increase towards infinity. Fortunately, the birth trajectory does not have to be set once and for all but can be adjusted within limits. Since birth and death rates determine whether we are heading for population extinction or explosion, they are well designated "vital statistics." Their understanding and use are a central theme of demographic analysis.

"Demographic Analysis" presents those techniques that are often called for in the study of demographic problems. Such techniques permit researchers to fill the gap between the large amounts of data made available by censuses and the theoretical and practical questions that need to be answered; the techniques of this book effectively bring the data into confrontation with the problems. In his treatment of population projection, Pressat applies methods developed in earlier sections for mortality arid fertility. The emphasis is on population projection and accords with its usefulness in demographic analysis. The meaning of a demographic rate or trend is brought out by seeing to what condition it would lead if continued. No assumption is made that the concrete future will follow either path.

The substance of the book is devoted to the main themes of mortality and fertility. Underlying these as well as nearly every other kind of data with which the demographer deals is the problem of location in time--the relation of vital events to the calendar and also to the age of the persons undergoing them. Pressat's detailed attention to this problem forms a solid basis for how current methodology accounts of demographic changes.

"Roland Pressat" is noted for his extensive work in the field of demography. He is affiliated with the Institut National d'Etudes Dmographiques, in Paris, France. Some of his books include "Statistical Demography, Population, Statistical Demography" and "The Dictionary of Demography."

This handbook provides contributions by some of the world-leading experts in the field on recent phenomena and trends in transnational terrorism. Based on the methodological approach of a trend-and-key factor analysis of transnational terrorism and processed on the virtual platform "Foresight Strategy Cockpit" (FSC), the volume seeks to examine what potential future variants of transnational terrorism may evolve. Focusing on the latest structural developments in the sphere of politically or religiously motivated violence, the handbook considers the tactical, strategic, and not least the systemic dimension of terrorism. Divided into seven thematic sections, the handbook’s contributions cover a wide range of issues, dealing among others with strategic and hybrid terrorism, the systemic dimension of extremist violence, prevalent actors, counter-narratives, the crime terror-nexus, the role of digitalization and the spiral dynamic between Islamist and right-wing terrorism. The expert contributions provide a condensed overview of current developments, structural linkages and important academic debates centering around transnational salafi-jihadi terrorism, but also right-wing terrorism and counter-terrorism. A key objective of the work is to make the effects of prevention/preemption, (de-) radicalization and (non-) intervention both transparent and assessable. As such, it contributes well-founded strategies, feasible solutions and options for policy-makers and counter-terrorism experts. This volume will be of great interest to students of terrorism and counter-terrorism, political violence and security studies.

According to their critics, social scientists rarely ask the right questions and cannot provide satisfactory answers even to the questions they ask themselves. Social scientists often discuss the nature of knowledge in their fields with a notable lack of clarity. "Explanation and Experience in Social Science" by Robert Brown dispels the confusion with cogency and wit; it is a systematic, sensible, and lucid analysis of the nature of the explanations put forward by social scientists.

Explanation-making is first distinguished from "describing" and "reporting," and then classified into different types, based on different kinds of information used. The greater part of the book consists in discussion and examination of these types of explanation and their relationships, in which the usefulness and limitations of each are assessed. An extraordinary variety of examples from contemporary work in all the social sciences is used, including the fields of sociology, anthropology, psychology, history, demography, political science. and economics. The author makes it clear that good social explanation is possible and that it conforms to the requirements of all good scientific explanation.

"Explanation and Experience in Social Science" is of interest to the practicing scientist--in fact--it is a must-have for any personal or public library with collections in the social sciences. Most studies in the philosophy of the sciences, natural and social, fall into two distinct groups: those written by philosophers for other philosophers and those produced by scientists for their fellow-scientists. The aim of this book is to discuss questions of philosophical interest as they come to be imbedded in the work of social scientists.

"Robert Brown" received a degree in anthropology at the University of New Mexico and did field studies among American Indians before taking up graduate work in anthropology and philosophy at the University of Chicago. He has been at the Australian National University, as well as a fellow of its Institute of Advanced Studies.

Recent years have seen a concern with how family and community relationships have changed across the generations, whether for better or worse, and particularly how they have been affected by social and economic developments. But how can we think about and research the nature of the present in relation to the past and vice versa? Researching Families and Communities: Social and Generational Change explores the concepts and perspectives that guide research and the methods used to explore change during the last half of the twentieth century and into the new millennium. It highlights the complexities of continuities alongside change, the importance of the perspectives that shape investigation, and the need to engage with situated data. This edited text includes contributions from experts in their field who: address these overarching trends explore the possibilities and practice of secondary analysis or replication studies, as well as longitudinal large scale data sets discuss varied aspects of family and community life, including sexuality, ethnicity, parenting resources, older people, intergenerational family life, solo living and many others. This book will appeal to academics and students interested in family and community across a range of social science disciplines, and to those in the social research field.

Recent years have seen a concern with how family and community relationships have changed across the generations, whether for better or worse, and particularly how they have been affected by social and economic developments. But how can we think about and research the nature of the present in relation to the past and vice versa? Researching Families and Communities: Social and Generational Change explores the concepts and perspectives that guide research and the methods used to explore change during the last half of the twentieth century and into the new millennium. It highlights the complexities of continuities alongside change, the importance of the perspectives that shape investigation, and the need to engage with situated data. This edited text includes contributions from experts in their field who: address these overarching trends explore the possibilities and practice of secondary analysis or replication studies, as well as longitudinal large scale data sets discuss varied aspects of family and community life, including sexuality, ethnicity, parenting resources, older people, intergenerational family life, solo living and many others. This book will appeal to academics and students interested in family and community across a range of social science disciplines, and to those in the social research field.

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.

In this book, top specialists address theoretical, methodological, and empirical multilevel models as they relate to the analysis of individual and cultural data. Divided into four parts, the book opens with the basic conceptual and theoretical issues in multilevel research, including the fallacies of such research. Part II describes the methodological aspects of multilevel research, including data-analytic and structural equation modeling techniques. Applications and models from various research areas including control, values, organizational behavior, social beliefs, well-being, personality, response styles, school performance, family, and acculturation, are explored in Part III. This section also deals with validity issues in aggregation models. The book concludes with an overview of the kinds of questions addressed in multilevel models and highlights the theoretical and methodological issues yet to be explored.

This book is intended for researchers and advanced students in psychology, sociology, social work, marriage and family therapy, public health, anthropology, education, economics, political science, and cultural and ethnic studies who study the relationship between behavior and culture.

Taking into account both traditional and emerging modes, this comprehensive new Handbook covers all major methodological and statistical issues in designing and analyzing surveys. With contributions from the world's leading survey methodologists and statisticians, this invaluable new resource provides guidance on collecting survey data and creating meaningful results. Featuring examples from a variety of countries, the book reviews such things as how to deal with sample designs, write survey questions, and collect data on the Internet. A thorough review of the procedures associated with multiple modes of collecting sample survey information and applying that combination of methods that fit the situation best is included. The International Handbook of Survey Methodology opens with the foundations of survey design, ranging from sources of error, to ethical issues. This is followed by a section on design that reviews sampling challenges and tips on writing and testing questions for multiple methods. Part three focuses on data collection, from face-to-face interviews, to Internet and interactive voice response, to special challenges involved in mixing these modes within one survey. Analyzing data from both simple and complex surveys is then explored, as well as procedures for adjusting data. The book concludes with a discussion of maintaining quality. Intended for advanced students and researchers in the behavioral, social, and health sciences, this "must have" resource will appeal to those interested in conducting or using survey data from anywhere in the world, especially those interested in comparing results across countries. The book also serves as a state-of-the-art text for graduate level courses and seminars on survey methodology. A companion website contains additional readings and examples.

Approaching qualitative research for the first time and unsure how to get started? This book captures what you need to know to jump into effective qualitative or mixed methods research. The book gets you up to speed on the specifics of qualitative research, while showing how it complements quantitative research and how to draw on and hone your existing skills to conduct impactful research. It covers the whole research process, from explaining what theories are for and planning your research design, through gathering and working with your data, to developing good practice in research reporting and dissemination. The book also: * Showcases the value of qualitative research, helping you understand its relevance, credibility and validity. * Grapples with how to decolonise your approach, do research in an ethical and inclusive way, and debias your thinking. * Challenges you to rethink how you conduct research and choose the most appropriate methods for your project. Giving you a fuller understanding of methods and methodologies to benefit your work regardless of the approach you choose, this book encourages you to discover the joy of qualitative research.

Originally published in 1930, this title brings to its conclusion a work first published, in part, in the earlier volume The Science and Method of Politics. The work was undertaken at first with a view to discovering the forces at work which form the anatomy and determine the physiology of States. However, it became apparent that not States but Society must be the object of study if any progress were to made, and if the inquiry were to be radical enough to disclose, and indicate the means of controlling, the causes which conduce to such social disorders as war. The subject might very well have been treated from a very different point of view. However, the author felt that the approach to politics from the angle of political philosophy and the humanities was less important for the needs of the time than an approach from the angle of psychology and of statistics.

Nearly two decades of research in clinic, industry, and educational settings have enabled the authors to present this compact but comprehensive report on the structure of the interview process. Joseph D. Matarazzo and Arthur N. Wiens have put together a concise presentation of research evidence; free from the dogged adherence to personal opinion that plagues most literature on the subject. The authors present and discuss basic interview concepts: interviewer and interviewee difference in interview behavior, the stability of such behavior, and conditions, which may modify it (including the first solid evidence, independently cross validated by others, for the effect on the interviewee of specific and common interviewer tactics).

The book contains a wealth of data on differences in the interview speech behavior of different types of patients, and between persons in different occupations, different administrative hierarchies, and different professional specialties (for example surgical versus psychiatric nurses). Data from the clinical setting also includes evidence for a new and heretofore unsuspected process variable; i.e., a synchrony in the interruption behavior of the therapist and his patient over many psychotherapy sessions.

The undergraduate in the communications fields will find this book an excellent adjunct to any of a number of courses in his special curriculum. Graduate students will find a storehouse of leads for theses and dissertations; while the practitioner and teacher in these fields will find much that is new and important to him in each chapter.

"Joseph D. Matarazzo" is professor of behavioral neuroscience at Oregon Heath & Science University. He is a member of the American Psychological Association and he is a past president of the Society for the History of Psychology. He is on the editorial board of the "Journal of Applied Biobehavioral Research."

"Arthur N. Wiens" is professor emeritus in the departments of psychiatry and behavior neuroscience at Oregon Heath & Science University. He is a fellow of the American Association for the Advancement of Science, American Association of State Psychology Boards, and American Psychological Association. He has in the past been a consulting psychologist to governmental, institutional, and social service agencies.

This book examines the current social crisis in American medicine. The authors, two well-known sociologists, search out--and find--the roots of this crisis in three areas: the organization of the hospital, the attitudes of the hospital toward its patients, and the relationship of hospitals to one another.

Rosengren and Lefton apply the latest theories of organization to each of these areas and give special attention to the urgent need for more and better organization of medical care as well as to new ways of delivering it. In doing so they carry out a sociological examination of today's hospital that is of far broader scope than has been achieved until now.

By combining a summary of sociological research on hospitals with a new theoretical approach to relevant patterns of organization the authors make available a readable book of immediate usefulness not only to researchers and scholars but also to students and teachers in medical sociology, hospital administration, and community organization as well as in social science courses offered in medical schools and schools of nursing.

"William R. Rosengren" is emeritus professor of sociology. He has been a Senior Research Fulbright Scholar at Aberdeen Medical School and a research sociologist at a children's psychiatric hospital. He has published numerous scholarly articles and is co-editor and a contributor to "Organizational Membership."

"Mark Lefton" was professor in the department of sociology and anthropology at Case Western Reserve University. He has headed research projects for the U.S. Public Health Service and the National Institute of Mental Health. Co-author of "Women after Treatment," he has co-edited and contributed to several books in related fields.

The wider adoption of a post-modern understanding of truth and knowledge, an acceptance of the prevalence of Orientalism inherent in much Western research, and the diminished significance of the 'local' within the rhetoric of globalization have all combined to constrain comparative and transnational research under the weight of theoretical and methodological concerns.

Transnational and Comparative Research in Sport addresses these difficulties in the context of sport studies, with the aim of developing typology which can be adopted to help re-establish meaningful transnational and comparative research. The book covers theoretical and substantive contexts and introduces a four-fold typology of approaches to comparative research, each supported by case studies and full discussion.

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First published in 1985, this book provides a descriptive study of social activities in a neurosciences laboratory. Based on fieldwork conducted by the author in the laboratory during 1975 and 1976, and taking an ethnomethodological approach, it focuses on the phenomenon of the social accomplishment of natural scientific order. Through the examination of shop work and shop talk in this environment, it identifies an analyzable social basis in the local production of accounts of natural objects in laboratory research. This work will be of interest to students and scholars of ethnomethodology and sociology.

Is religion a factor in initiating interstate armed conflict, and do different religions have different effects? Breaking new ground in political science, this book explores these questions both qualitatively and quantitively, concluding that the answer is yes. Previous studies have focused on conflict within states or interstate aggression with overtly religious motivations; in contrast, Brown shows how religion affects states' propensities to militarize even disputes that are not religious in nature. Different religions are shown to have different influences on those propensities, and those influences are linked to the war ethics inculcated in those religions. The book analyses and classifies war ethics contained in religious scripture and other religious classics, teachings of religions' contemporary epistemic communities, and religions' historical narratives. Using data from the new Religious Characteristics of States dataset project, qualitative studies are combined with empirical measurements of governments' institutional preferences and populations' cultures. This book will provide interesting insights to scholars and researchers in international security studies, political science, international law, sociology, and religious studies.

Factor Analysis and Dimension Reduction in R provides coverage, with worked examples, of a large number of dimension reduction procedures along with model performance metrics to compare them. Factor analysis in the form of principal components analysis (PCA) or principal factor analysis (PFA) is familiar to most social scientists. However, what is less familiar is understanding that factor analysis is a subset of the more general statistical family of dimension reduction methods. The social scientist's toolkit for factor analysis problems can be expanded to include the range of solutions this book presents. In addition to covering FA and PCA with orthogonal and oblique rotation, this book's coverage includes higher-order factor models, bifactor models, models based on binary and ordinal data, models based on mixed data, generalized low-rank models, cluster analysis with GLRM, models involving supplemental variables or observations, Bayesian factor analysis, regularized factor analysis, testing for unidimensionality, and prediction with factor scores. The second half of the book deals with other procedures for dimension reduction. These include coverage of kernel PCA, factor analysis with multidimensional scaling, locally linear embedding models, Laplacian eigenmaps, diffusion maps, force directed methods, t-distributed stochastic neighbor embedding, independent component analysis (ICA), dimensionality reduction via regression (DRR), non-negative matrix factorization (NNMF), Isomap, Autoencoder, uniform manifold approximation and projection (UMAP) models, neural network models, and longitudinal factor analysis models. In addition, a special chapter covers metrics for comparing model performance. Features of this book include: Numerous worked examples with replicable R code Explicit comprehensive coverage of data assumptions Adaptation of factor methods to binary, ordinal, and categorical data Residual and outlier analysis Visualization of factor results Final chapters that treat integration of factor analysis with neural network and time series methods Presented in color with R code and introduction to R and RStudio, this book will be suitable for graduate-level and optional module courses for social scientists, and on quantitative methods and multivariate statistics courses.

This is a companion volume to the "Causal Models in the Social Sciences," the majority of articles concern panel designs involving repeated measurements while a smaller cluster involves discussions of how experimental designs may be improved by more explicit attention to causal models. All of the papers are concerned with complications that may occur in actual research designs--as compared with idealized ones that often become the basis of textbook discussions of design issues.

In thinking about the revision of that volume, considerable literature has accumulated. As a result, this volume attempts to bridge the gap in time and substance to that earlier effort. Blalock examined articles that seemed to hold the most promise of expanding the variety of topics in research methods to the causal modeling approach, and addressing the design issues involved. The majority of these fell under the heading of panel designs involving repeated measurements; a smaller cluster involved discussions of how our understanding of experimental designs could be improved by paying explicit attention to causal models.

Blalock presented five chapters bearing on experimental designs into Part I, since the issues with which they deal are more general than those that treat more specifically with the handling of change data. Although many readers may have more immediate interest in these latter papers, which appear in Part II, Blalock thought it wise to encourage such readers to examine broader issues before plunging specifically into discussions of panel designs.

"H.M. Blalock, Jr." (1926-1991) was professor of sociology at the University of Washington, Seattle. He was recipient of the 1973 ASA Samuel Stouffer Prize, and was a Fellow of the American Statistical Association and the American Academy of Arts and Sciences, and is a member of the National Academy of Sciences. He was the 70th president of the American Sociological Association.

The SAGE Handbook of Social Media Research Methods spans the entire research process, from data collection to analysis and interpretation. This second edition has been comprehensively updated and expanded, from 39 to 49 chapters. In addition to a new section of chapters focussing on ethics, privacy and the politics of social media data, the new edition provides broader coverage of topics such as: Data sources Scraping and spidering data Locative data, video data and linked data Platform-specific analysis Analytical tools Critical social media analysis Written by leading scholars from across the globe, the chapters provide a mix of theoretical and applied assessments of topics, and include a range of new case studies and data sets that exemplify the methodological approaches. This Handbook is an essential resource for any researcher or postgraduate student embarking on a social media research project. PART 1: Conceptualising and Designing Social Media Research PART 2: Collecting Data PART 3: Qualitative Approaches to Social Media Data PART 4: Quantitative Approaches to Social Media Data PART 5: Diverse Approaches to Social Media Data PART 6: Research & Analytical Tools PART 7: Social Media Platforms PART 8: Privacy, Ethics and Inequalities

This book provides a showcase for "best practices" in teaching statistics and research methods in two- and four-year colleges and universities. A helpful resource for teaching introductory, intermediate, and advanced statistics and/or methods, the book features coverage of: ways to integrate these courses how to promote ethical conduct how to create writing intensive programs novel tools and activities to get students involved strategies for teaching online courses and computer applications guidance on how to create and maintain helpful web resources assessment advice to help demonstrate that students are learning tips on linking diversity to research methodology. This book appeals to veteran and novice educators and graduate students who teach research methods and/or statistics in psychology and other behavioral sciences and serves as an excellent resource in related faculty workshops. Downloadable resources with activities that readers can customize is included.

Best Practices for Teaching Statistics and Research Methods in the Behavioral Sciences provides a scholarly, yet practical approach to teaching these critical core courses. It provides a showcase for best practices in teaching these courses in two- and four-year colleges and in universities. A helpful resource for teaching introductory, intermediate, and advanced statistics and/or methods, the book features contributions from nationally recognized teachers. Each contributor articulates strategies and interventions for best practices and provides references to helpful Web resources. The book covers a variety of topics germane to teaching these courses including ways to integrate them, how to promote ethical conduct, and how to create writing intensive programs. involved including writing exercises, hands-on lab experiences, in-class demonstrations, and topical themes; strategies for teaching online courses and computer applications; guidance on how to create and maintain helpful Web resources for students; assessment advice to help demonstrate that students are learning; and tips on linking diversity to research methodology. This book appeals to veteran and novice educators and graduate students who teach research methods and/or statistics in psychology and other behavioral sciences and serves as an excellent resource in related faculty workshops. A CD with activities that readers can customize for their own classroom use is included.