Reliable and student-friendly, Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics by William E. Wagner, III is known for its effectiveness in helping readers learn to use SPSS software for simple data management. Now reflecting SPSS Version 23.0, the Sixth Edition includes updated examples, screenshots, and tables based on current GSS (General Social Survey) data. This manual is an excellent companion to any undergraduate social statistics and research methods text and is ideal as a stand-alone guide for those learning to use SPSS software for the first time.
Statistics for Criminology and Criminal Justice, Fourth Edition offers students a practical and comprehensive introduction to statistics and highlights the integral role research and statistics play in the study of criminology and criminal justice. Packed with real-world case studies and contemporary examples utilizing the most current crime data and empirical research available, students not only learn how to perform and understand statistical analyses, but also recognize the connection between statistical analyses use in everyday life and its importance to criminology and criminal justice. Written by two well-known experts in the field, Ronet D. Bachman and Raymond Paternoster continue to facilitate learning by presenting statistical formulas with step-by-step instructions for calculation. This “how to calculate and interpret statistics” approach avoids complicated proofs and discussions of statistical theory, without sacrificing statistical rigor. The Fourth Edition is replete with new examples exploring key issues in today’s world, motivating students to investigate research questions related to criminal justice and criminology with statistics and conduct research of their own along the way. Give your students the SAGE edge! SAGE edge offers a robust online environment featuring an impressive array of free tools and resources for review, study, and further exploration, keeping both instructors and students on the cutting edge of teaching and learning.
Statistics for Criminal Justice and Criminology in Practice and Research—by Jack Fitzgerald and Jerry Fitzgerald—is an engaging and comprehensive introduction to the study of basic statistics for students pursuing careers as practitioners or researchers in both Criminal Justice and Criminology programs. This student-friendly text shows how to calculate a variety of descriptive and inferential statistics, recognize which statistics are appropriate for particular data analysis situations, and perform hypothesis tests using inferential statistics. But it is much more than a “cook book.” It encourages readers to think critically about the strengths and limitations of the statistics they are calculating, as well as how they may be misapplied and misleading. Examples of statistics and statistical analyses are drawn from the worlds of the practitioner as well as the policymaker and researcher. Students will also gain a clear understanding of major ethical issues in conducting statistical analyses and reporting results, as well as insight into the realities of the life of researchers and practitioners as they use statistics and statistical analyses in their day-to-day activities.
The Practice of Research in Criminology and Criminal Justice, Sixth Edition continues to demonstrate the vital role research plays by integrating in-depth, real-world case studies with a comprehensive discussion of research methods. By pairing research techniques with practical examples from the field, Ronet D. Bachman and Russell K. Schutt equip students to evaluate and conduct research. Covering research findings from critical areas in criminal justice, such as police use of force, cybercrime, and race, this text helps students understand the importance of research, not just the process. The Sixth Edition of this best-selling text retains the strengths of previous editions while breaking ground with emergent research methods, enhanced tools for learning in the text and online, and contemporary, fascinating research findings. Students engage with the wide realm of new research methods available to them, delve deeper into topics relevant to their field of study, and benefit from the wide variety of new exercises to help them practice as they learn.
This Eighth Edition of Social Statistics for a Diverse Society continues to emphasize intuition and common sense, while demonstrating that social science is a constant interplay between methods of inquiry and important social issues. Recognizing that today’s students live in a world of growing diversity and richness of social differences, authors Chava Frankfort-Nachmias and Anna Leon-Guerrero use research examples that show how statistics is a tool for understanding the ways in which race, class, gender, and other categories of experience shape our social world and influence social behavior. In addition, guides for reading and interpreting the research literature help students acquire statistical literacy, while SPSS demonstrations and a rich variety of exercises help them hone their problem-solving skills.
Inspire students to pursue their own adventures in social research with this practical, hands-on introduction to data conceptualization, measurement, and association through active learning. Adventures in Social Research: Data Analysis Using IBM® SPSS® Statistics from Earl Babbie, William E. Wagner, III, and Jeanne Zaino offers a practical, hands-on introduction to the logic of social science research for students in many disciplines. The fully revised Tenth Edition offers step-by-step instruction on data analysis using the latest version (24.0) of SPSS and current data from the General Social Survey. Organized to parallel most introductory research methods texts, this text starts with an introduction to computerized data analysis and the social research process, then takes readers step-by-step through univariate, bivariate, and multivariate analysis using SPSS Statistics. The range of topics, from beginning to advanced, make Adventures in Social Research appropriate for both undergraduate and graduate courses.
Completely up to date and extremely student friendly, A SIMPLE GUIDE TO IBM SPSS: FOR VERSION 23.0, Fourteenth Edition, equips you with everything you need to know about the newest version of SPSS for Windows so you can effectively use the program in your statistics class. The guide's straightforward style frees you to concentrate on learning basic statistical concepts, while still developing familiarity with SPSS. It's clear, step-by-step instruction quickly gets you up to speed, enabling you to confidently use SPSS to do homework problems and conduct statistical analyses for research projects. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
By making introductory statistics interesting through comparing data on today's student generation with their parents' generation, and asking students to consider how people change as they grow older, the book uses data on subjective beliefs (such as freedom of speech and abortion) as well objective characteristics (years of schooling, marital status) to teach basic statistics using SPSS.
This book covers the essentials of drug delivery research and provides a unique forum for scientific experimental methods that are exclusively focused by the in-vitro, ex-vivo, and in-vivo methodologies of drug delivery research and felicitates translational research. The book includes recent and novel approaches in evaluation methods of transdermal, nasal, ocular, oral and intraoral, gastro-retentive, colon-targeted, and brain-targeted drug delivery systems. Providing up to date and comprehensive information, this text is invaluable to students, teachers, scientists, and others employed in the field of drug delivery.
What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results? Herschel Knapp's friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. You will learn by doing with this truly practical approach to statistics.
In Offending and Desistance, Beth Weaver examines the role of a co-offending peer group in shaping and influencing offending and desistance, focusing on three phases of their criminal careers: onset, persistence and desistance. While there is consensus across the body of desistance research that social relations have a role to play in variously constraining, enabling and sustaining desistance, no desistance studies have adequately analysed the dynamics or properties of social relations, or their relationship to individuals and social structures. This book aims to reset this balance. By examining the social relations and life stories of six Scottish men (in their forties), Weaver reveals the central role of friendship groups, intimate relationships and families of formation, employment and religious communities. She shows how, for different individuals, these relations triggered reflexive evaluation of their priorities, behaviours and lifestyles, but with differing results. Weaver’s re-examination of the relationships between structure, agency, identity and reflexivity in the desistance process ultimately illuminates new directions for research, policy and practice. This book is essential reading for academics and students engaged in the study of criminology and criminal justice, delinquency, probation and criminal law.
Do you need to conduct data analysis with SPSS but are unfamiliar with the software? This user-friendly book helps you become proficient in SPSS by teaching you the fundamentals of SPSS. The Second Edition develops SPSS skills using sample programs illustrating how to conduct the analyses typically covered in an introductory statistics course. Throughout the book, data are analyzed and SPSS output are interpreted in the context of research questions. Boldface text is used to indicate operations or choices the reader will need to make when running SPSS. Exercises are also included, with solutions provided in the appendix. `I want to commend the author for including a chapter on using the SPSS manuals. I would not have thought of this addition, and the information helps the reader go on to learn the more complex components of SPSS′ - Laura Myers, University of Georgia This Second Edition has been updated to SPSS Version 12.0, although its approach makes it useful for readers running other versions. Each chapter in the updated text includes a statement of its purpose and goal, as well as a chapter glossary. The updated text includes new SPSS features, including how to recode data using the Visual Bander and how to read text data using the Text Import Wizard. Author Eric L. Einspruch thoroughly covers critical basic skills: * How to create data sets by defining and coding data, using a codebook, and entering data * How to run SPSS and work with different SPSS files * How to manipulate data by recoding values, computing values, and selecting subsets of cases to include in an analysis * How to manage data files by reading data that have been entered using other software, appending files, and merging files * How to analyze data using SPSS pull-down menus * How to analyze data using programs written in SPSS syntax This outstanding book concludes with a discussion of how to get help in SPSS, suggestions on how to make the most of SPSS manuals, and directions for taking the next steps toward software mastery.
This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines. Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book’s exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice. The book’s pedagogical program, built on cognitive science principles, reinforces learning: Boxes provide "evidence-based" advice on the most effective statistical techniques. Numerous examples reinforce learning, and show that many disciplines are using the new statistics. Graphs are tied in with ESCI to make important concepts vividly clear and memorable. Opening overviews and end of chapter take-home messages summarize key points. Exercises encourage exploration, deep understanding, and practical applications. This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed.
Research Methods in Criminal Justice and Criminology connects key concepts to real field research and practices using contemporary examples and recurring case studies that demonstrate how concepts relate to your life. Authors Callie M. Rennison and Timothy C. Hart introduce practical research strategies used in criminal justice to show you how a research question can become a policy that changes or influences criminal justice practices. The book’s student-driven approach addresses both the why and the how as it covers the research process and focuses on the practical application of data collection and analysis. By demonstrating the variety of ways research can be used and reinforcing the need to discern quality research, the book prepares you to become a critical consumer and ethical producer of research.
The International Handbook of Teacher and School Development brings together a collection of research and evidence-based authoritative writings which focus on international teacher and school development. Drawing on research from eighteen countries across seven continents, the forty chapters are grouped into ten themes which represent key aspects of teacher and school development: Issues of Professionalism and Performativity What Being an Effective Teacher Really Means Reason and Emotion in Teaching Schools in Different Circumstances Student Voices in a Global Context Professional Learning and Development Innovative Pedagogies School Effectiveness and Improvement Successful Schools, Successful Leader Professional Communities: their practices, problems & possibilities Each theme expertly adds to the existing knowledge base about teacher and school development internationally. They are individually important in shaping and understanding an appreciation of the underlying conditions which influence teachers and schools, both positively and negatively, and the possibilities for their further development. This essential handbook will be of interest to teacher educators, researchers in the field of teacher education and policy makers.
This bestselling text provides a practical guide to structural equation modeling (SEM) using the Amos Graphical approach. Using clear, everyday language, the text is ideal for those with little to no exposure to either SEM or Amos. The author reviews SEM applications based on actual data taken from her own research. Each chapter "walks" readers through the steps involved (specification, estimation, evaluation, and post hoc modification) in testing a variety of SEM models. Accompanying each application is: an explanation of the issues addressed and a schematic presentation of hypothesized model structure; Amos input and output with interpretations; use of the Amos toolbar icons and pull-down menus; and data upon which the model application was based, together with updated references pertinent to the SEM model tested. Thoroughly updated throughout, the new edition features: All new screen shots featuring Amos Version 23. Descriptions and illustrations of Amos’ new Tables View format which enables the specification of a structural model in spreadsheet form. Key concepts and/or techniques that introduce each chapter. Alternative approaches to model analyses when enabled by Amos thereby allowing users to determine the method best suited to their data. Provides analysis of the same model based on continuous and categorical data (Ch. 5) thereby enabling readers to observe two ways of specifying and testing the same model as well as compare results. All applications based on the Amos graphical mode interface accompanied by more "how to" coverage of graphical techniques unique to Amos. More explanation of key procedures and analyses that address questions posed by readers All application data files are available at www.routledge.com/9781138797031. The two introductory chapters in Section 1 review the fundamental concepts of SEM methodology and a general overview of the Amos program. Section 2 provides single-group analyses applications including two first-order confirmatory factor analytic (CFA) models, one second-order CFA model, and one full latent variable model. Section 3 presents multiple-group analyses applications with two rooted in the analysis of covariance structures and one in the analysis of mean and covariance structures. Two models that are increasingly popular with SEM practitioners, construct validity and testing change over time using the latent growth curve, are presented in Section 4. The book concludes with a review of the use of bootstrapping to address non-normal data and a review of missing (or incomplete) data in Section 5. An ideal supplement for graduate level courses in psychology, education, business, and social and health sciences that cover the fundamentals of SEM with a focus on Amos, this practical text continues to be a favorite of both researchers and practitioners. A prerequisite of basic statistics through regression analysis is recommended but no exposure to either SEM or Amos is required.
The "Teaching Writing" series publishes user-friendly writing guides penned by authors with publishing records in their subject matter. Infused with multidisciplinary examples, humor, and a healthy dose of irreverence, Fallon helps emerging researchers successfully navigate the intellectual and emotional challenges of writing quantitative research reports. After reinforcing foundations in methodology, statistics, and writing in the first section of the book, emerging researchers work through a series of questions to construct their research report. The final section contains sample papers generated by undergraduates illustrating three major forms of quantitative research - primary data collection, secondary data analysis, and content analysis. "Writing up Quantitative Research in the Social and Behavioral Sciences" is appropriate for research methods classes in communication, criminology or criminal justice, economics, education, political science, psychological science, social work, and sociology. Individual students and novice researchers can also read the book as a supplement to any course or research experience that requires writing up quantitative data. "Fallon brings much-needed accessibility to the daunting world of quantitative methods. Filled with contemporary references to pop culture ... key concepts are creatively introduced." - Diana Cohen, Associate Professor of Political Science, Central Connecticut State University "This book covers the 'how to' of writing research projects in a highly engaging manner. Graduate students who are preparing to work on their master's thesis will get a lot out of this book." - Damon Mitchell, Professor of Criminology and Criminal Justice, Central Connecticut State University ""Writing up Quantitative Research in the Social and Behavioral Sciences" is not your typical book. It is a MUST HAVE handbook for students in the social and behavioral sciences ..." - Carolyn Fallahi, Professor of Psychological Science, Central Connecticut State University "Kudos to Fallon for writing a very thorough and readable foundational text for beginning researchers!" - Linda Behrendt, Associate Professor of Human Development and Family Studies, Indiana State University
SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS. It combines a step-by-step approach to each procedure with easy to follow screenshots at each stage of the process. A number of other helpful features are provided: regular advice boxes with tips specific to each test explanations divided into ‘essential’ and ‘advanced’ sections to suit readers at different levels frequently asked questions at the end of each chapter. The first edition of this popular book has been fully updated for IBM SPSS version 21 and also includes: chapters that explain bootstrapping and how this is used an introduction to binary logistic regression coverage of new features such as Chart Builder. Presented in full colour and with a fresh, reader-friendly layout, this fully updated new edition also comes with a companion website featuring an array of supplementary resources for students. The authors have many years of experience in teaching SPSS to students from a wide range of disciplines. Their understanding of SPSS users’ concerns, as well as a knowledge of the type of questions students ask, form the foundation of this book. Minimal prior knowledge is assumed, so the book is well designed for the novice user, but it will also be a useful reference source for those developing their own expertise in SPSS. It is suitable for all students who need to do statistical analysis using SPSS in various departments including Psychology, Social Science, Business Studies, Nursing, Education, Health and Sport Science, Communication and Media, Geography, and Biology.