To maximise the value of your research, you need to communicate it to others. There are many ways to do so: examples include applications and bids, conference presentations, gray literature, journal papers, media (old and new), public talks, and teaching. This book provides fresh, creative, ways of making the most of these and other opportunities. It provides 53 practical suggestions, each based on ideas tried and tested by the contributors. Key terms:communication; impact; presenting; publication; public engagement; research; social media; writing.

This third edition of Introduction to Research Methods and Data Analysis in Psychology provides you with a unique, balanced blend of quantitative and qualitative research methods. Highly practical in nature, the book guides you, step-by-step, through the research process and is underpinned by SPSS screenshots, diagrams and examples throughout.

The fields of insurance law and insurance economics have long and distinguished scholarly histories, but participants in the two disciplines have not always communicated well across academic silos. This Handbook encourages more policy-relevant insurance economics scholarship and more economically sophisticated legal scholarship by bringing together original contributions from leading scholars in both fields. The benefits of this inter-disciplinary approach are introduced and illustrated in four comprehensive sections: - Why and how do individuals purchase insurance? - The role of the state in insurance markets - The regulation of insurance - Insurance law in the courts. Overall, this Handbook synthesizes the insights of insurance economics with the flourishing body of economically oriented research in insurance law. As well as providing a new approach for scholars, the Handbook will prove a useful reference for insurance lawyers and insurance regulators owing to its policy relevant, practical approach. Contributors: K.S. Abraham, D. Asmat, R. Avraham, T. Baker, E.F. Brown, P.-A. Chiappori, M.F. Grace, S.E. Harrington, D. Jaffee, R.W. Klein, H.C. Kunreuther, J. Kwak, K.D. Logue, J.A. Nyman, M.V. Pauly, D. Schwarcz, P. Siegelman, C. Silver, R. Squire, S. Tennyson

Violent behavior has become deeply integrated into modern society and it is an unavoidable aspect of human nature. Examining peacemaking strategies through a critical and academic perspective can assist in resolving violence in societies around the world. The Handbook of Research on Examining Global Peacemaking in the Digital Age is a pivotal reference source for the latest research findings on the utilization of peacemaking in media, leadership, and religion. Featuring extensive coverage on relevant areas such as human rights, spirituality, and the Summer of Peace, this publication is an ideal resource for policymakers, universities and colleges, graduate-level students, and organizations seeking current research on the application of conflict resolution and international negotiation.

With a clear, engaging writing style and fascinating examples using a variety of real data, this text covers the contemporary statistical techniques that students will encounter in the world of social research. It covers these techniques at an introductory level and carefully guides students through increasingly complex examples without intimidating them. Recurrent examples using four timely topics-health, immigration, income inequality, and everyday harassment-help students understand how the techniques fit together, and how to use the techniques in combination with one another. A superb author-created web resource accompanies the text. How to make clear presentations of research results is also a feature of the text. New to this edition: New research shows how the techniques has changed over time in the academic literature, showing students that social scientists really do use the statistical techniques the book teaches and giving them ample motivation to learn the techniques. Examples throughout the book use the most recent data from the General Social Survey. Four timely topics are threaded throughout the book: immigration, health, income inequality, and everyday harassment. Linneman uses these topics recurrently with different statistical techniques to illustrate how the techniques are related to one another. The new edition more explicitly emphasizes that the various techniques the students are learning are often used in combination with one another. After introducing a new technique and showing how to use it on its own, Linneman then systematically offers examples of how to combine that technique with techniques students learned in previous chapters. Most of the literature examples that end each chapter are new and use very recent research from top academic journals (three quarters from 2015 or later, nearly half from 2019). They feature research that covers timely topics such as Black Lives Matter, transgender health, social media, police behavior, and climate change. The SPSS demonstrations are completely redone, both in the book and on the website's demonstration videos, using more recent data. Linneman applies his experience teaching his own students SPSS (knowing where students get confused) to clarify his explanations in these demonstrations.

The current movement toward more and better research experiences for undergraduates has spread across disciplines in the arts, humanities, science, mathematics, and engineering beyond the "research university" to the full range of post-secondary institutions of higher education. Along with this spread of practice is the need to take stock of the programs and make use of evaluation to inform program improvement and to communicate an understanding of the worth of the program to funders, institutional administrators, faculty/mentors, and students. The main aim of the book is to provide a practical guide for planning an evaluation of an undergraduate experience program. The intent is to enable a program director to plan with a team consisting of an internal evaluator and program staff, a systematic and rigorous study of the program (processes, products, organizational dynamics, etc.) including the gathering and analysis of information that is context-sensitive, and connected to an argument and justification for descriptive, causal, and practice-useful claims. It is useful for a program director to contract with an evaluator. It is specific to the field of undergraduate research experience while being useful for other fields. It places strong emphasis on how to find and specify evaluation questions that yield information that has high leverage for program improvement and demonstrating the effectiveness and worth of the program. A measure of attitude toward evaluation allows you to reflect on your leanings evaluation orientations such as formative/summative, process/product, preordinate goals/emergent goals, and other characteristics of approaches to and confidence in evaluation. The main readership is targeted to directors and developers of undergraduate research experience programs. While the examples are mainly in the undergraduate research experience, it will be found useful for instructors of courses in project evaluation and beginning level evaluators. The usefulness of the book is enhanced by a checklist in the final chapter that integrates the approaches from throughout the book referencing the earlier discussions.

The primary objective of this book is to study some of the research topics in the area of analysis of complex surveys which have not been covered in any book yet. It discusses the analysis of categorical data using three models: a full model, a log-linear model and a logistic regression model. It is a valuable resource for survey statisticians and practitioners in the field of sociology, biology, economics, psychology and other areas who have to use these procedures in their day-to-day work. It is also useful for courses on sampling and complex surveys at the upper-undergraduate and graduate levels. The importance of sample surveys today cannot be overstated. From voters' behaviour to fields such as industry, agriculture, economics, sociology, psychology, investigators generally resort to survey sampling to obtain an assessment of the behaviour of the population they are interested in. Many large-scale sample surveys collect data using complex survey designs like multistage stratified cluster designs. The observations using these complex designs are not independently and identically distributed - an assumption on which the classical procedures of inference are based. This means that if classical tests are used for the analysis of such data, the inferences obtained will be inconsistent and often invalid. For this reason, many modified test procedures have been developed for this purpose over the last few decades.

The last 15 years has seen an explosion of studies that use cognitive science to understand theatre, whilst at the same time theatre-makers are using their artistic practice to address research question. This book looks at the current discourse around these emerging fields.

In "Education Policy Research," Helen M. Gunter, David Hall and Colin Mills bring together contributions from a range of researchers, academics and practitioners. Each chapter draws on critical theoretical perspectives and showcases innovative research projects within educational settings to understand the current changes in schools, schooling and education, to explore critical questions. The varied accounts demonstrate the importance of partnerships between schools and higher education, and of putting educational research into context, specifically charting the ways in which schools and schooling have been reformed through government interventions. "Education Policy Research" presents new research findings on the realities of how educational practice can be understood and explained, so enabling researchers to take a reflexive stance towards their own work. The editors and contributors take seriously the need to rethink their data and consider the contribution of research dispositions and practices to ongoing change and development. At the same time, the chapters give recognition to what research and researchers can and cannot do, contributing to the ongoing debates about the value of - and the urgent ongoing need for - social science research.

The use of simulation modeling in criminal justice dates back to the 1970s. Early models were developed to capture the realities of the criminal justice system, to identify what changes were needed, and how small changes would affect the overall picture. Significant time and effort were devoted to these projects and although they achieved some success, the complex nature of the criminal justice system and the difficulties associated with improving and maintaining the models prohibited wide spread adoption in the field. Some of the problems with early simulation projects were the lack of data to validate models, the lack of technical skills needed by staff to design and build the models, and the technical difficulties with software programming to transform models into computerized representations.
As simulation modeling has becoming a more popular technique across many disciplines, and technology as well as the technical skills of researchers has improved, this book revisits the concept of simulation modeling with new applications for the criminal justice system. The wider availability of data has made for more opportunity to verify and validate models; computing software has become more available and easier to use; and the capacity for visualization and communication of models shows promise for the future of simulation in criminal justice.
The time has come to examine the past, present, and future contributions of simulation modeling to the field of criminal justice. This work provides a central resource of information for the current state of simulation modeling, and overview of existing techniques and cases of success, and directions for future development. This work will be an important resource for researchers in criminal justice and related fields, as well as those studying policy-related topics."

Research that has been presented primarily by quantitative research can benefit from the voice of the participants and the added value of the different perspective that qualitative research can provide. The purpose of mixed methods research is to draw from the positive aspects of both research paradigms to better answer the research question. This type of research is often used in schools, businesses, and non-profit organizations as they strive to address and resolve questions that will impact their organizations. Applied Social Science Approaches to Mixed Methods Research: Emerging Research and Opportunities is an academic research publication that examines more traditional and common research methods and how they can be complimented through qualitative counterparts. The content within this publication covers an array of topics such as entrepreneurship, social media, and marginalization. It is essential for researchers, academicians, non-profit professionals, business professionals, and higher education faculty, and specifically targets master or doctoral students committed to writing their theses, dissertations, or scholarly articles, who may not have had the benefit of working on a traditional research team.

A well-balanced and accessible introduction to the elementary quantitative methods and Microsoft(R) Office Excel(R) applications used to guide business decision making Featuring quantitative techniques essential for modeling modern business situations, Introduction to Quantitative Methods in Business: With Applications Using Microsoft(R) Office Excel(R) provides guidance to assessing real-world data sets using Excel. The book presents a balanced approach to the mathematical tools and techniques with applications used in the areas of business, finance, economics, marketing, and operations. The authors begin by establishing a solid foundation of basic mathematics and statistics before moving on to more advanced concepts. The first part of the book starts by developing basic quantitative techniques such as arithmetic operations, functions and graphs, and elementary differentiations (rates of change), and integration. After a review of these techniques, the second part details both linear and nonlinear models of business activity. Extensively classroom-tested, Introduction to Quantitative Methods in Business: With Applications Using Microsoft(R) Office Excel(R) also includes: * Numerous examples and practice problems that emphasize real-world business quantitative techniques and applications * Excel-based computer software routines that explore calculations for an assortment of tasks, including graphing, formula usage, solving equations, and data analysis * End-of-chapter sections detailing the Excel applications and techniques used to address data and solutions using large data sets * A companion website that includes chapter summaries, Excel data sets, sample exams and quizzes, lecture slides, and an Instructors Solutions Manual Introduction to Quantitative Methods in Business: With Applications Using Microsoft(R) Office Excel(R) is an excellent textbook for undergraduate-level courses on quantitative methods in business, economics, finance, marketing, operations, and statistics. The book is also an ideal reference for readers with little or no quantitative background who require a better understanding of basic mathematical and statistical concepts used in economics and business. Bharat Kolluri, Ph.D., is Professor of Economics in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include econometrics, business statistics, quantitative decision making, applied macroeconomics, applied microeconomics, and corporate finance. Michael J. Panik, Ph.D., is Professor Emeritus in the Department of Economics, Finance, and Insurance at the University of Hartford. He has served as a consultant to the Connecticut Department of Motor Vehicles as well as to a variety of health care organizations. In addition, Dr. Panik is the author of numerous books, including Growth Curve Modeling: Theory and Applications and Statistical Inference: A Short Course, both published by Wiley. Rao N. Singamsetti, Ph.D., is Associate Professor in the Department of Economics, Finance, and Insurance at the University of Hartford. A member of the American Economics Association, his research interests include the status of war on poverty in the United States since the 1960s and forecasting foreign exchange rates using econometric methods.

This textbook is an advanced introduction to quantitative methods for students in communication and allied social science disciplines that focuses on why and how to conduct research that contributes to social justice. Today's researchers are inspired by the potential for scholarship to make a difference for society, to push toward more just and equitable ends, and to engage in dialogue with members of the public so that they can make decisions about how to navigate the social, cultural, and political world equipped with accurate, fair, and up-to-date knowledge. This book illustrates the mechanics and the meaning behind quantitative research methods by illustrating each step in the research design process with research addressing questions of social justice. It provides practical guidance for researchers who wish to engage in the transformation of structures, practices, and understandings in society through community and civic engagement and policy formation. It contains step-by-step guidance in quantitative methods-from conceptualization through all the stages of execution of a study, including providing a detailed guide for statistical analysis-and demonstrates how researchers can engage with social justice issues in systematic, rigorous, ethical, and meaningful ways. This text serves as a core or supplementary textbook for graduate and advanced undergraduate courses in research methods for communication and social sciences and fills a gap for a methods text that is responsive to the desire of scholars to conduct socially impactful research.

This detailed analysis and evaluation of the enormously varied, rich, and productive career of one of nineteenth-century America's most interesting intellectuals includes discussions of Johnson's Treatise on Language and Treatise on Morality; appraisals by contemporaries of his works; and descriptions of his careers as banker, businessman, essayist, satirist, and philosopher.

With the quantity and quality of available works in Information Systems (IS) research, it would seem advantageous to possess a concise list of exemplary works on IS research, in order to enable instructors of IS research courses to better prepare students to publish in IS venues. To that end, The Handbook of Information Systems Research provides a collection of works on a variety of topics related to IS research. This book provides a fresh perspective on issues related to IS research by providing chapters from world-renowned leaders in IS research along with chapters from relative newcomers who bring some interesting and often new perspectives to IS research. This book should serve as an excellent text for a graduate course on IS research methods.

'Practical, useful counsel emanates throughout. Impressively grounded in real world experiences.' - Michael Quinn Patton, author of Utilisation-Focused Evaluation Effective evaluation can provide valuable insights into the way a program, a course or an organisation is being run, and direction for improvement. This widely-used introduction to evaluation is intended for non-specialists in the human services who need to do evaluation as part of a busy workload. Everyday Evaluation on the Run offers a practical over view of the main approaches to evaluation, strategies for involving stakeholders, and the evaluation industry's toolbox of models and techniques. The author emphasises the core principles and concepts of evaluation, and the idea of building a culture of evaluation. This third edition of Everyday Evaluation on the Run reflects current thinking on values in organisations and the need to use evaluation to guide future practice rather than just as an auditing process. With extensive examples, it is a handy reference for professionals and students in health, welfare, and community work, and in government and non-profit agencies.

Over three decades this bestselling user-friendly introduction has been used by thousands of students, professionals and community groups to kick start their social research projects.Always emphasising the importance of a spirit of inquiry, it demystifies the research process, covering all the basics of: where to start; how to manage a research project; methods, techniques and resources; digital tools; interpretation, analysis and reporting. This third edition has been thoroughly revised. It covers the use of narrative and dialogue in research, rich research design, and what digital technology can (and can't) contribute to the research process. With its hands-on, no-nonsense approach, Do It Yourself Social Research is an essential resource for anyone doing social research in sociology, social work, education, health, welfare, not-for profit and many other fields.'Practical in its content, sophisticated in its ideas, the book shows a passion for making social science a tool of democracy. I know of nothing else that is half as good.' - Raewyn Connell, University Professor, University of Sydney, Australia'This is a first-rate text. Students had one problem with it; because it was not turgid like other texts they felt it lacked sufficient depth. It was only when they were into their research that they understood what a great reference it is.' - Richard A. Couto PhD, Union Institute and University, USA

Biographical data provide unique insights into social life, but they also pose some significant challenges for social science researchers. This book offers a systematic, flexible guide to using biographical narrative methods in your research project. Drawing upon the authors' own research, as well as case studies from a range of international contexts and disciplines, the book illustrates how biographical approaches can be tailored to different research questions and environments. This book will help you to: * Navigate any complexities or missteps when undertaking real-world research * Apply your analytical and research tools to your research question * Choose the right research design for your project, whether single or mixed methods * Ground your understanding within diverse real-world research examples. Clear, adaptable, and applied, this is your definitive guide to working with biographical methods.

This book covers research design and methodology from a unique and engaging point of view, based on accounts from influential researchers across the field of Criminology and Criminal Justice.Most books and articles about research in criminology and criminal justice focus on how the research was carried out: the data that were used, the methods that were applied, the results that were achieved. While these are all important, they do not present a complete picture. Envisioning Criminology: Researchers on Research as a Process of Discovery aims to fill that gap by providing nuance--the "back story" of why researchers selected particular problems, how they approached those problems, and how their background, training, and experience affected the approaches they took. As the contributions in this book demonstrate, research is not a cut-and-dried process, as all too many methods books imply, but a living, breathing-and in some ways quirky-process that is influenced by non-"scientific" factors. The path taken by a researcher is important, and an appreciation of his or her background, experience, knowledge-and the setbacks and triumphs of performing the research-provides a much more complete picture of how research is done. The twenty-eight chapters in this book describe the back stories of their authors, which serve to enlighten readers about the interplay between the personal and the methodological. While primarily aimed as a textbook, this work will also be of interest to researchers in Criminology and Criminal Justice, and related Social and Behavioral Science fields as an account of how seminal researchers in the field developed their key contributions.

An exploration of core problems in experimental research on voting behaviour and political institutions, ranging from design and data analysis to inferences with respect to constructs, constituencies and causal claims. The focus of is on the implementation of principles in experimental political science and the reflection of actual practices.

This book describes how powerful computing technology, emerging big and open data sources, and theoretical perspectives on spatial synthesis have revolutionized the way in which we investigate social sciences and humanities. It summarizes the principles and applications of human-centered computing and spatial social science and humanities research, thereby providing fundamental information that will help shape future research. The book illustrates how big spatiotemporal socioeconomic data facilitate the modelling of individuals' economic behavior in space and time and how the outcomes of such models can reveal information about economic trends across spatial scales. It describes how spatial social science and humanities research has shifted from a data-scarce to a data-rich environment. The chapters also describe how a powerful analytical framework for identifying space-time research gaps and frontiers is fundamental to comparative study of spatiotemporal phenomena, and how research topics have evolved from structure and function to dynamic and predictive. As such this book provides an interesting read for researchers, students and all those interested in computational and spatial social sciences and humanities.

Albert Einstein said we can't solve problems by using the same kind of thinking we used when we created them. If we don't have the kinds of health and human services or even the kinds of lives, communities and organisations we want, then we need to think differently.Yoland Wadsworth offers an inspired insight and radically new proposition: that the act of our 'inquiring', of researching and evaluating together, is the way by which every living organism and all collective human life goes about continuously achieving the conditions for life.Building in Research and Evaluation explores this new approach for bringing about both wanted change and stability. By inquiring around 'whole cycles' of acting, observing, questioning, feeling, reflecting, thinking, planning and acting again, Yoland identifies how new life might be brought to what we do.'Sound and persuasive, insightful, important and inviting. A great contribution' - Michael Quinn Patton, author of the best-selling book, Utilization-Focused Evaluation'Brilliant. I'm not aware of any other book of this nature. The examples are impressive' - Linette Hawkins, social work educator'I remain critical of 'systems' models and biological analogies for organisational processes, but this work is unquestionably original and in major ways innovative' - Raewyn Connell, sociology professor'Highly original. an ambitious integration of concepts. Credible and useful. Grounded in pioneering empirical research' - Danny Burns, professor of organisational learning