An Introduction to Criminological Theory
This expanded new edition of best-selling textbook provides a comprehensive and up-to-date introduction to criminological theory for students taking courses in criminology at both undergraduate and postgraduate level. The text is divided into four parts, with the first three addressing ideal type models of criminal behaviorthe rational actor, predestined actor, and victimized actor models. Within these, the various criminological theories are located chronologically in the context of one of these different traditions, and the strengths and weaknesses of each theory and model are clearly identified. The fourth part of the book looks more closely at more recent attempts to integrate theoretical elements from both within and across models of criminal behavior. This interdisciplinary text recognizes the value of legal, biological, psychological and sociological explanations of crime and criminal behavior. It includes a new chapter on positivist approaches to female criminality, and also e
An Introduction to Criminological Theory and the Problem of Causation
This text offers a novel contribution to the literature on core criminological theory by introducing the complex issues relating to the structuring and analysing of causation. This text traces the paradigm shift, or drift, that has occurred in the history of criminology and shows how the problem of causation has been a leading factor in these theoretical developments. This short book is the first of its kind and is an introductory text designed to introduce both seasoned criminologists as well as students of criminology to the interesting intersections between the fields of criminology and the philosophy of the social sciences.The problem of causation is notoriously difficult and has plagued philosophers and scientists for centuries. Warr highlights the importance of grappling with this problem and demonstrates how it can lead to unsuccessful theorising and can prevent students from fully appreciating the development of thinking in criminology. This accessible account will prove to be a must-read for scholars of criminal justice, penology and philosophy of social science.
Fraud and Corruption
This textbook provides an overview of the major types of fraud and corrupt activities found in private and public agencies, as well as the various methods used to prevent fraud and corruption. It explores where opportunities for fraud exist, the personal characteristics of those who engage in fraud, as well as their prevention and control.This work covers fraud in the financial sector, insurance, health care, and police organizations, as well as cybercrime. It covers the relationship between fraud, corruption, and terrorism; criminal networks; and major types of personal scams (like identity theft and phishing). Finally, it covers the prevention and control of fraud, through corporate whistle blowing, investigative reporting, forensic accounting, and educating the public.This work will be of interest to graduate-level students (as well as upper-level undergraduates) in Criminology & Criminal Justice, particularly with a focus on white collar and corporate crime, as well as related fields like business and management.
Political Social Work
... social workers in the political arena, and a wealth of strategies and techniques that will aid social workers opting to engage in the political arena. Political Social Work: Using Power to Create Social Change will help to elevate political ...
Quantitative Methods for the Social Sciences
This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.
Quantitative Methods for the Social Sciences
This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.
Quantitative Methods for the Social Sciences
This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.
Research Design
This bestselling text pioneered the comparison of qualitative, quantitative, and mixed methods research design. For all three approaches, John W. Creswell and new co-author J. David Creswell include a preliminary consideration of philosophical assumptions; key elements of the research process; a review of the literature; an assessment of the use of theory in research applications, and reflections about the importance of writing and ethics in scholarly inquiry. New to this Edition Updated discussion on designing a proposal for a research project and on the steps in designing a research study. Additional content on epistemological and ontological positioning in relation to the research question and chosen methodology and method. Additional updates on the transformative worldview. Expanded coverage on specific approaches such as case studies, participatory action research, and visual methods. Additional information about social media, online qualitative methods, and mentoring and reflexivity in qualitative methods. Incorporation of action research and program evaluation in mixed methods and coverage of the latest advances in the mixed methods field Additional coverage on qualitative and quantitative data analysis software in the respective methods chapters. Additional information about causality and its relationship to statistics in quantitative methods. Incorporation of writing discussion sections into each of the three methodologies. Current references and additional readings are included in this new edition.
Research Methods for the Digital Humanities
... 2. Is the material published with an open license or in the public domain, and is this clearly communicated in ... hub for apps and app development, includes a strong program for encouraging the use and reuse of this enormous heritage ...
Statistics in Criminal Justice
Statistics in Criminal Justice takes an approach that emphasizes the application and interpretation of statistics in research in crime and justice. This text is meant for both students and researchers who want to gain a basic understanding of common statistical methods used in this field. In general, the text relies on a building-block approach, meaning that each chapter helps to prepare the student for the chapters that follow. It also means that the level of sophistication of the text increases as the text progresses. Throughout the text there is an emphasis on comprehension and interpretation, rather than computation. However, as the statistical methods discussed become more complex and demanding to compute, there is increasing use and integration of statistical software. This approach is meant to provide the reader with an accessible, yet sophisticated understanding of statistics that can be used to examine real-life criminal justice problems with popular statistical software programs. The primary goal of the text is to give students and researchers a basic understanding of statistical concepts and methods that will leave them with the confidence and the tools for tackling more complex problems on their own.New to the 4th Edition· New chapter on experimental design and the analysis of experimental data.· New chapter on multi-level models, including growth-curve models.· New computer exercises throughout the text to illustrate the use of both SPSS and Stata.· Revision of exercises at the end of each chapter that places greater emphasis on using statistical software.· Additional resources on the text’s web site for instructors and students, including answers to selected problems, syntax for replicating text examples in SPSS and Stata, and other materials that can be used to supplement the use of the text.
The Practice of Social Research
Packed with hands-on applications, Babbie's THE PRACTICE OF SOCIAL RESEARCH, 15th Edition, equips your students with the tools they need to practically apply research concepts as both researchers and consumers. Known as the "gold standard" for research methods, the text delivers a comprehensive, straightforward introduction to the field of research as practiced by social scientists. Dr. Babbie emphasizes the research process by showing students how to design and construct projects, introducing the various observation modes in use today. The new edition includes "What do you think?" puzzles that immediately draw students into chapter concepts. General Social Survey data is updated throughout while new coverage includes the global use of social research, the emerging role of big data, demographic analysis and more. Also available: MindTap digital learning solution.
The SAGE Encyclopedia of Research Design
The SAGE Encyclopedia of Research Design maps out how one makes decisions about research design, interprets data, and draws valid inferences, undertakes research projects in an ethical manner, and evaluates experimental design strategies and results. From A-to-Z, this four-volume work covers the spectrum of research design strategies and topics including, among other things: fundamental research design principles, ethics in the research process, quantitative versus qualitative and mixed-method designs, completely randomized designs, multiple comparison tests, diagnosing agreement between data and models, fundamental assumptions in analysis of variance, factorial treatment designs, complete and incomplete block designs, Latin square and related designs, hierarchical designs, response surface designs, split-plot designs, repeated measures designs, crossover designs, analysis of covariance, statistical software packages, and much more. Research design, with its statistical underpinnings, can be especially daunting for students and novice researchers. At its heart, research design might be described simply as a formalized approach toward problem solving, thinking, and acquiring knowledge, the success of which depends upon clearly defined objectives and appropriate choice of statistical design and analysis to meet those objectives. The SAGE Encyclopedia of Research Design will assist students and researchers with their work while providing vital information on research strategies.