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ranking analysis in spss: A Conceptual Guide to Statistics Using SPSS Elliot T. Berkman, Steven P. Reise, 2011-04-12 Bridging an understanding of Statistics and SPSS. The text is written in a user-friendly language and illustrates concepts that would otherwise be confusing to beginning students and those with limited computer skills. -Justice Mbizo, University of West Florida This unique text helps students develop a conceptual understanding of a variety of statistical tests by linking the ideas learned in a statistics class from a traditional statistics textbook with the computational steps and output from SPSS. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, clearly linking how the SPSS procedure and output connect back to the conceptual underpinnings of the test. By drawing clear connections between the theoretical and computational aspects of statistics, this engaging text aids students′ understanding of theoretical concepts by teaching them in a practical context. |
ranking analysis in spss: The SAGE Encyclopedia of Communication Research Methods Mike Allen, 2017-04-11 Communication research is evolving and changing in a world of online journals, open-access, and new ways of obtaining data and conducting experiments via the Internet. Although there are generic encyclopedias describing basic social science research methodologies in general, until now there has been no comprehensive A-to-Z reference work exploring methods specific to communication and media studies. Our entries, authored by key figures in the field, focus on special considerations when applied specifically to communication research, accompanied by engaging examples from the literature of communication, journalism, and media studies. Entries cover every step of the research process, from the creative development of research topics and questions to literature reviews, selection of best methods (whether quantitative, qualitative, or mixed) for analyzing research results and publishing research findings, whether in traditional media or via new media outlets. In addition to expected entries covering the basics of theories and methods traditionally used in communication research, other entries discuss important trends influencing the future of that research, including contemporary practical issues students will face in communication professions, the influences of globalization on research, use of new recording technologies in fieldwork, and the challenges and opportunities related to studying online multi-media environments. Email, texting, cellphone video, and blogging are shown not only as topics of research but also as means of collecting and analyzing data. Still other entries delve into considerations of accountability, copyright, confidentiality, data ownership and security, privacy, and other aspects of conducting an ethical research program. Features: 652 signed entries are contained in an authoritative work spanning four volumes available in choice of electronic or print formats. Although organized A-to-Z, front matter includes a Reader’s Guide grouping entries thematically to help students interested in a specific aspect of communication research to more easily locate directly related entries. Back matter includes a Chronology of the development of the field of communication research; a Resource Guide to classic books, journals, and associations; a Glossary introducing the terminology of the field; and a detailed Index. Entries conclude with References/Further Readings and Cross-References to related entries to guide students further in their research journeys. The Index, Reader’s Guide themes, and Cross-References combine to provide robust search-and-browse in the e-version. |
ranking analysis in spss: Data Analysis Using SPSS for Windows Versions 8 - 10 Jeremy J Foster, 2001-03-20 A new edition of this best-selling introductory book to cover the latest SPSS versions 8.0 - 10.0 This book is designed to teach beginners how to use SPSS for Windows, the most widely used computer package for analysing quantitative data. Written in a clear, readable and non-technical style the author explains the basics of SPSS including the input of data, data manipulation, descriptive analyses and inferential techniques, including; - creating using and merging data files - creating and printing graphs and charts - parametric tests including t-tests, ANOVA, GLM - correlation, regression and factor analysis - non parametric tests and chi square reliability - obtaining neat print outs and tables - includes a CD-Rom containing example data files, syntax files, output files and Excel spreadsheets. |
ranking analysis in spss: Invasiveness Ranking System for Non-native Plants of Alaska Matthew Lawrence Carlson, 2008 Describes a ranking system used to evaluate the potential invasiveness and impacts of 113 non-native plants to natural areas in Alaska. Species are ranked by a series of questions in four broad categories: ecosystem impacts, biological attributes, distribution, and control measures. Also included is a climate screening procedure to evaluate the potential for establishment in three ecogeographic regions of Alaska [Juneau, Fairbanks, Nome]. |
ranking analysis in spss: Data Analysis Using SPSS for Windows - Version 6 Jeremy J Foster, 1998 This book is designed to teach beginners how to use SPSS for Windows, the most widely used computer package for analysing quantitative data. Written in a clear, readable and non-technical style, the author explains the basics of SPSS, covering the input of data, data manipulation, descriptive analyses and inferential techniques. |
ranking analysis in spss: Nonparametric Statistics for Non-Statisticians Gregory W. Corder, Dale I. Foreman, 2009-05-26 A practical and understandable approach to nonparametric statistics for researchers across diverse areas of study As the importance of nonparametric methods in modern statistics continues to grow, these techniques are being increasingly applied to experimental designs across various fields of study. However, researchers are not always properly equipped with the knowledge to correctly apply these methods. Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach fills a void in the current literature by addressing nonparametric statistics in a manner that is easily accessible for readers with a background in the social, behavioral, biological, and physical sciences. Each chapter follows the same comprehensive format, beginning with a general introduction to the particular topic and a list of main learning objectives. A nonparametric procedure is then presented and accompanied by context-based examples that are outlined in a step-by-step fashion. Next, SPSS® screen captures are used to demonstrate how to perform and recognize the steps in the various procedures. Finally, the authors identify and briefly describe actual examples of corresponding nonparametric tests from diverse fields. Using this organized structure, the book outlines essential skills for the application of nonparametric statistical methods, including how to: Test data for normality and randomness Use the Wilcoxon signed rank test to compare two related samples Apply the Mann-Whitney U test to compare two unrelated samples Compare more than two related samples using the Friedman test Employ the Kruskal-Wallis H test to compare more than two unrelated samples Compare variables of ordinal or dichotomous scales Test for nominal scale data A detailed appendix provides guidance on inputting and analyzing the presented data using SPSS®, and supplemental tables of critical values are provided. In addition, the book's FTP site houses supplemental data sets and solutions for further practice. Extensively classroom tested, Nonparametric Statistics for Non-Statisticians is an ideal book for courses on nonparametric statistics at the upper-undergraduate and graduate levels. It is also an excellent reference for professionals and researchers in the social, behavioral, and health sciences who seek a review of nonparametric methods and relevant applications. |
ranking analysis in spss: Doing Quantitative Research in Education with SPSS Daniel Muijs, 2010-12-31 This accessible and authoritative introduction is essential for education students and researchers needing to use quantitative methods for the first time. Using datasets from real-life educational research and avoiding the use of mathematical formulae, the author guides students through the essential techniques that they will need to know, explaining each procedure using the latest version of SPSS. The datasets can also be downloaded from the book′s website, enabling students to practice the techniques for themselves. This revised and updated second edition now also includes more advanced methods such as log linear analysis, logistic regression, and canonical correlation. Written specifically for those with no prior experience of quantitative research, this book is ideal for education students and researchers in this field. |
ranking analysis in spss: IBM SPSS by Example Alan C. Elliott, Wayne A. Woodward, 2014-12-31 The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s “cut to the chase” IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information—from assumptions and design to computation, interpretation, and presentation of results—to help users save time, money, and frustration. |
ranking analysis in spss: SPSS Explained Perry Hinton, Dr, Perry R. Hinton, Isabella McMurray, Charlotte Brownlow, 2004-12 Provides the student with all that they need to undertake statistical analysis using SPSS, guiding them from the basic rationale behind the statistics, through detailed explanations of the procedures, to all aspects of the SPSS output. |
ranking analysis in spss: Building SPSS Graphs to Understand Data James O. Aldrich, Hilda M. Rodriguez, 2013 This handy guide can be used in conjunction with any introductory or intermediate statistics book where the focus is on in-depth presentation of how graphs are used. |
ranking analysis in spss: SPSS Statistics For Dummies Jesus Salcedo, Keith McCormick, 2020-09-09 The fun and friendly guide to mastering IBM’s Statistical Package for the Social Sciences Written by an author team with a combined 55 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis. Covering the latest release and updates to SPSS 27.0, and including more than 150 pages of basic statistical theory, it helps you understand the mechanics behind the calculations, perform predictive analysis, produce informative graphs, and more. You’ll even dabble in programming as you expand SPSS functionality to suit your specific needs. Master the fundamental mechanics of SPSS Learn how to get data into and out of the program Graph and analyze your data more accurately and efficiently Program SPSS with Command Syntax Get ready to start handling data like a pro—with step-by-step instruction and expert advice! |
ranking analysis in spss: A Handbook of Statistical Analyses Using SPSS Sabine Landau, Brian S. Everitt, 2003-11-24 A Handbook of Statistical Analyses Using SPSS clearly describes how to conduct a range of univariate and multivariate statistical analyses using the latest version of the Statistical Package for the Social Sciences, SPSS 11. Each chapter addresses a different type of analytical procedure applied to one or more data sets, primarily from the social and behavioral sciences areas. Each chapter also contains exercises relating to the data sets introduced, providing readers with a means to develop both their SPSS and statistical skills. Model answers to the exercises are also provided. Readers can download all of the data sets from a companion Web site furnished by the authors. |
ranking analysis in spss: Intermediate Statistics Using SPSS Herschel Knapp, 2017-09-14 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. Students will learn by doing with this truly practical approach to statistics. |
ranking analysis in spss: Categorical and Nonparametric Data Analysis E. Michael Nussbaum, 2024-05-30 Now in its second edition, this book provides a focused, comprehensive overview of both categorical and nonparametric statistics, offering a conceptual framework for choosing the most appropriate test in various scenarios. The book’s clear explanations and Exploring the Concept boxes help reduce reader anxiety. Problems inspired by actual studies provide meaningful illustrations of these techniques. Basic statistics and probability are reviewed for those needing a refresher with mathematical derivations placed in optional appendices. Highlights include the following: • Three chapters co-authored with Edgar Brunner address modern nonparametric techniques, along with accompanying R code. • Unique coverage of both categorical and nonparametric statistics better prepares readers to select the best technique for particular research projects. • Designed to be used with most statistical packages, clear examples of how to use the tests in SPSS, R, and Excel foster conceptual understanding. • Exploring the Concept boxes integrated throughout prompt students to draw links between the concepts to deepen understanding. • Fully developed Instructor and Student Resources featuring datasets for the book's problems and a guide to R, and for the instructor PowerPoints, author's syllabus, and answers to even-numbered problems. Intended for graduate or advanced undergraduate courses in categorical and nonparametric statistics taught in psychology, education, human development, sociology, political science, and other social and life sciences. |
ranking analysis in spss: Assessment, Accreditation and Ranking Methods for Higher Education Institutes in India: Current Findings and Future Challenges P.L. Saranya, 2021-07-30 This reference presents information about quality benchmarks of Indian higher education institute (HEI) accreditation bodies namely, the National Assessment and Accreditation Council (NAAC) and the National Institute Ranking Framework (NIRF). The objective of the book is to enlighten stakeholders working in Indian HEIs on the recently revised accreditation and ranking processes, which are crucial to the career prospects of students. The contributors of each chapter include experienced NAAC assessors and educationalists. The authors present their own experiences in the light of the accreditation process and suggestions for the improvement of rankings in their institutes. Topics such as the student feedback system, student perception on private and public universities, student mentoring system, usage of ICT methods in teaching learning process, and integration of life skills into curriculum are discussed in this book. The information is presented in a simple, structured manner and is an informative resource for personnel involved in administrative and policy making roles in higher educational settings, with a focus on the Indian higher education system. |
ranking analysis in spss: Advances in Ranking and Selection, Multiple Comparisons, and Reliability N. Balakrishnan, Nandini Kannan, H. N. Nagaraja, 2007-12-28 S. Panchapakesan has made significant contributions to ranking and selection and has published in many other areas of statistics, including order statistics, reliability theory, stochastic inequalities, and inference. Written in his honor, the twenty invited articles in this volume reflect recent advances in these areas and form a tribute to Panchapakesan’s influence and impact on these areas. Thematically organized, the chapters cover a broad range of topics from: - Inference - Ranking and Selection - Multiple Comparisons and Tests - Agreement Assessment - Reliability - Biostatistics Featuring theory, methods, applications, and extensive bibliographies with special emphasis on recent literature, this comprehensive reference work will serve researchers, practitioners, and graduate students in the statistical and applied mathematics communities. |
ranking analysis in spss: Interpreting Quantitative Data with SPSS Rachad Antonius, 2003-01-22 This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied. |
ranking analysis in spss: 100 Statistical Tests Gopal K Kanji, 2006-07-18 ′This is a very valuable book for statisticians and users of statistics. It contains a remarkable number of statistical tests which are currently available and useful for practical purposes′ - Statistical Papers This expanded and updated Third Edition of Gopal Kanji′s best-selling resource on statistical tests covers all the most commonly used tests with information on how to calculate and interpret results with simple datasets. Each entry begins with a short summary statement about the test′s purpose, and contains details of the test objective, the limitations (or assumptions) involved, a brief outline of the method, a worked example and the numerical calculation. This new edition also includes: A brand new introduction to statistical testing with information to guide the reader through the book so that even non-statistics students can find information quickly and easily Real-world explanations of how and when to use each test with examples drawn from wide range of disciplines. A useful Classification of Tests table All the relevant statistical tables for checking critical values 100 Statistical Tests: Third Edition is the one indispensable guide for users of statistical materials and consumers of statistical information at all levels and across all disciplines. |
ranking analysis in spss: Business Research Methods and Statistics Using SPSS Robert P Burns, Richard Burns, 2008-11-20 Ideal for those with a minimum of mathematical and statistical knowledge, Business Research Methods and Statistics Using SPSS provides an easy to follow approach to understanding and using quantitative methods and statistics. It is solidly grounded in the context of business and management research, enabling students to appreciate the practical applications of the techniques and procedures explained. The book is comprehensive in its coverage, including discussion of the business context, statistical analysis of data, survey methods, and reporting and presenting research. A companion website also contains four extra chapters for the more advanced student, along with PowerPoint slides for lecturers, and additional questions and exercises, all of which aim to help students to: - Understand the importance and application of statistics and quantitative methods in the field of business - Design effective research studies - Interpret statistical results - Use statistical information meaningfully - Use SPSS confidently |
ranking analysis in spss: Illustrating Statistical Procedures: Finding Meaning in Quantitative Data Ray W. Cooksey, 2020-05-14 This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis. |
ranking analysis in spss: Applied Statistics with SPSS Eelko Huizingh, 2007 |
ranking analysis in spss: The Essentials of Business Research Methods Joe F. Hair Jr., Michael Page, 2015-08-14 Increasingly, managers must make decisions based on almost unlimited information. How can they navigate and organize this vast amount of data? Essentials of Business Research Methods provides research techniques for people who aren't data analysts. The authors offer a straightforward, hands-on approach to the vital managerial process of gathering and using data to make clear business decisions. They include critical topics, such as the increasing role of online research, ethical issues, data mining, customer relationship management, and how to conduct information-gathering activities more effectively in a rapidly changing business environment. This is the only text that includes a chapter on qualitative data analysis, and the coverage of quantitative data analysis is more extensive, and much easier to understand than in other texts. The book features a realistic continuing case throughout that enables students to see how business research information is used in the real world. It includes applied research examples in all chapters, as well as ethical dilemma mini cases, and exercises. |
ranking analysis in spss: Essentials of Business Research Methods Joseph F. Hair, Jr, Mary Wolfinbarger, Arthur H Money, Phillip Samouel, Michael J Page, 2015-03-04 Managers increasingly must make decisions based on almost unlimited information. How can they navigate and organize this vast amount of data? Essentials of Business Research Methods provides research techniques for people who aren't data analysts. The authors offer a straightforward, hands-on approach to the vital managerial process of gathering and using data to make clear business decisions. They include such critical topics as the increasing role of online research, ethical issues, data mining, customer relationship management, and how to conduct information-gathering activities more effectively in a rapidly changing business environment. This is the only such book that includes a chapter on qualitative data analysis, and the coverage of quantitative data analysis is more extensive and much easier to understand than in other works. The book features a realistic continuing case throughout the text that enables students to see how business research information is used in the real world. It includes applied research examples in all chapters, as well as Ethical Dilemma mini - cases, and interactive Internet applications and exercises. |
ranking analysis in spss: Managing with Total Quality Management Adrian Wilkinson, Tom Redman, Ed Snape, Mick Marchington, 1998 In this book, the authors relate Total Quality Management (TQM) to the broader organisation and environment in the context in which TQM is located, bringing in consideration of organisational culture and structure, of employee relations and the balance of power between management and employees and the role of Human Resource Management. This involves a critical appraisal of TQM, considering both the way in which employees perceive its operation in practice and the question of 'who gains what' from TQM. |
ranking analysis in spss: Encyclopedia of Measurement and Statistics Neil J. Salkind, 2007 Publisher Description |
ranking analysis in spss: Proceedings of the 2nd International Conference on Cognitive Based Information Processing and Applications (CIPA 2022) Bernard J. Jansen, Qingyuan Zhou, Jun Ye, 2023-04-10 This book contains papers presented at the 2nd International Conference on Cognitive based Information Processing and Applications (CIPA) in Changzhou, China, from September 22 to 23, 2022. The book is divided into a 2-volume series and the papers represent the various technological advancements in network information processing, graphics and image processing, medical care, machine learning, smart cities. It caters to postgraduate students, researchers, and practitioners specializing and working in the area of cognitive-inspired computing and information processing. |
ranking analysis in spss: SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics Daniel J. Denis, 2018-09-25 Enables readers to start doing actual data analysis fast for a truly hands-on learning experience This concise and very easy-to-use primer introduces readers to a host of computational tools useful for making sense out of data, whether that data come from the social, behavioral, or natural sciences. The book places great emphasis on both data analysis and drawing conclusions from empirical observations. It also provides formulas where needed in many places, while always remaining focused on concepts rather than mathematical abstraction. SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics offers a variety of popular statistical analyses and data management tasks using SPSS that readers can immediately apply as needed for their own research, and emphasizes many helpful computational tools used in the discovery of empirical patterns. The book begins with a review of essential statistical principles before introducing readers to SPSS. The book then goes on to offer chapters on: Exploratory Data Analysis, Basic Statistics, and Visual Displays; Data Management in SPSS; Inferential Tests on Correlations, Counts, and Means; Power Analysis and Estimating Sample Size; Analysis of Variance – Fixed and Random Effects; Repeated Measures ANOVA; Simple and Multiple Linear Regression; Logistic Regression; Multivariate Analysis of Variance (MANOVA) and Discriminant Analysis; Principal Components Analysis; Exploratory Factor Analysis; and Non-Parametric Tests. This helpful resource allows readers to: Understand data analysis in practice rather than delving too deeply into abstract mathematical concepts Make use of computational tools used by data analysis professionals. Focus on real-world application to apply concepts from the book to actual research Assuming only minimal, prior knowledge of statistics, SPSS Data Analysis for Univariate, Bivariate, and Multivariate Statistics is an excellent “how-to” book for undergraduate and graduate students alike. This book is also a welcome resource for researchers and professionals who require a quick, go-to source for performing essential statistical analyses and data management tasks. |
ranking analysis in spss: Information Manipulation and Its Impact Across All Industries Ebrahimi, Maryam, 2021-11-19 Both misinformation and disinformation lead to lasting misperceptions that can pose dangers to the public. While information manipulation has always existed, modern technology allows for misinformation to spread further and quicker than ever before. Especially during times in which misinformation has a greater potential reach and a more captivated audience, it is important to recognize its impact on society. Information Manipulation and Its Impact Across All Industries focuses on information manipulation in different areas including finance and economy, health, society, and more. It considers the effects of misinformation and disinformation on organizations, human resources, citizens, and governments. Additionally, it describes detection models and approaches of misinformation and disinformation as well as anti-misinformation actions, policies, and laws. Covering topics such as cybersecurity, online health misinformation, and social capital, this book is a dynamic resource for managers, engineers, researchers, lecturers, advanced students, professors, academicians, and professional institutions. |
ranking analysis in spss: InfoWorld , 1988-10-24 InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects. |
ranking analysis in spss: SPSS for Intermediate Statistics Nancy L. Leech, Karen Caplovitz Barrett, George Arthur Morgan, 2005 Intended as a supplement for intermediate statistics courses taught in departments of psychology, education, business, and other health, behavioral, and social sciences. |
ranking analysis in spss: Business Research Methods: Naval Bajpai, 2011 Business Research Methods provides students with the knowledge, understanding and necessary skills to complete a business research. The reader is taken step-by-step through a range of contemporary research methods, while numerous worked examples an |
ranking analysis in spss: Getting Started in Your Educational Research Clive Opie, Desma Brown, 2019-04-08 A one-stop shop for anyone undertaking educational research for the first time, this text focuses on the development and application of key skills necessary for successful research. Packed with useful exercises, checklists and case studies, this book will allow the reader to apply their skills across a range of essays, presentations and reports. Using digestible language to explain complex terminology and processes simply, the authors explore working with and presenting data and the software options available to students, including NVivo, SPSS and Excel. The text will help students to: Understand the language of educational research Frame their research questions and design their research Judge the quality of educational research Explore and justify research approaches and procedures (methods) Analyse and present their data |
ranking analysis in spss: Excellence in Concrete Construction through Innovation Mukesh C Limbachiya, Hsein Y. Kew, 2008-09-03 The concrete industry has embraced innovation and ensured high levels of long-term performance and sustainability through creative applications in design and construction. As a construction material, the versatility of concrete and its intrinsic benefits mean it is still well placed to meet challenges of the construction industry. Indeed, concrete |
ranking analysis in spss: Proceedings of the ICSDI 2024 Volume 3 Yasser Mansour, Umashankar Subramaniam, Zahiraniza Mustaffa, Abdelhakim Abdelhadi, Mohamed Al-Atroush, Eman Abowardah, 2024-10-25 This book offers a comprehensive overview of the latest research, innovations, and practical applications in the field of sustainability, with a focus on construction materials and their use in building and civil engineering structures. As an outcome of the 2nd International Conference on Sustainability: Developments and Innovations (ICSDI 2024), the book presents a selection of peer-reviewed papers from prominent researchers and engineers around the world. The book covers a broad range of topics, including construction and resilient infrastructure, sustainable manufacturing, industrial ecology, renewable energy, future cities, sustainable built environment design, and policies, regulations, and economics for achieving sustainable development goals. This book will serve as an essential reference for graduate students, engineers, and scientists, as well as industry professionals working in the field of sustainability. The book aligns with the scope of book series scope which aims tocontribute to progress in the construction sciences, techniques, and industries through communication between research and practice. It is also a valuable resource for practitioners and policymakers who are interested in understanding the latest technological advancements and innovations in sustainability to solve real-world problems. |
ranking analysis in spss: Benchmarking in Institutional Research Gary D. Levy, Nicolas A. Valcik, 2012-12-21 While the term benchmarking is commonplace nowadays in institutional research and higher education, less common, is a solid understanding of what it really means and how it has been, and can be, used effectively. This volume begins by defining benchmarking as “a strategic and structured approach whereby an organization compares aspects of its processes and/or outcomes to those of another organization or set of organizations to identify opportunities for improvement.” Building on this definition, the chapters provide a brief history of the evolution and emergence of benchmarking in general and in higher education in particular. The authors apply benchmarking to: Enrollment management and student success Institutional effectiveness The potential economic impact of higher education institutions on their host communities. They look at the use of national external survey data in institutional benchmarking and selection of peer institutions, introduce multivariate statistical methodologies for guiding that selection, and consider a novel application of baseball sabermetric methods. The volume offers a solid starting point for those new to benchmarking in higher education and provides examples of current best practices and prospective new directions. This is the 156th volume of this Jossey-Bass series. Always timely and comprehensive, New Directions for Institutional Research provides planners and administrators in all types of academic institutions with guidelines in such areas as resource coordination, information analysis, program evaluation, and institutional management. |
ranking analysis in spss: Sustainable Buildings and Structures: Building a Sustainable Tomorrow Konstantinos Papadikis, Chee Chin, Isaac Galobardes, Guobin Gong, Fangyu Guo, 2019-09-26 Sustainable Buildings and Structures: Building a Sustainable Tomorrow collects the contributions presented at the 2nd International Conference on Sustainable Buildings and Structures (Suzhou, China, 25-27 October 2019). The papers aim at sharing the state-of-the-art on sustainable approaches to engineering design and construction, and cover a wide range of topics: Sustainable Construction Materials Sustainable Design in Built Environment Green and Low Carbon Buildings Smart Construction and Construction Management Sustainable Buildings and Structures: Building a Sustainable Tomorrow will be of interest to academics, professionals, industry representatives and local government officials involved in civil engineering, architecture, urban planning, structural engineering, construction management and other relate fields. |
ranking analysis in spss: Academic Voices Kjersti Fløttum, Trine Gedde-Dahl, Torodd Kinn, 2006-01-01 This book explores how the voices of authors and other researchers are manifested in academic discourse, and how the author handles the polyphonic interaction between these various parties. It represents a unique study of academic discourse in that it takes a doubly contrastive approach, focusing on the two factors of discipline and language at the same time. It is based on a large electronic corpus of 450 research articles from three disciplines (economics, linguistics and medicine) in three languages (English, French and Norwegian). The book investigates whether disciplines and languages may be said to represent different cultures with regard to person manifestation in the texts. What is being studied is thus cultural identities as tendencies in linguistic practices. For the majority of the features focused on (e.g. metatext and bibliographical references), the discipline factor turns out to contribute more strongly to the variation observed than the language factor. However, for some of the features (e.g. pronouns and negation), the language factor is also quite strong. Additional background information on the investigations reported in this book can be found at www.uib.no/kiap/. |
ranking analysis in spss: Emerging Trends in Composite Structures Md. Abdul Mannan, R. Sathyanathan, N. Umamaheswari, Hemant S. Chore, 2023-12-01 This book presents the select proceedings of International Conference on Civil Engineering: Innovative Development in Engineering Advances (ICC IDEA 2023). This book covers the latest research in the areas of structural engineering and health monitoring, steel and composite structure, bridge and tunnel engineering, earthquake engineering, disaster management, and coastal and harbor engineering. The book is useful for researchers and professionals in related fields of civil engineering. |
ranking analysis in spss: Using Stata for Quantitative Analysis Kyle C. Longest, 2014-07-02 Using Stata for Quantitative Analysis, Second Edition offers a brief, but thorough introduction to analyzing data with Stata software. It can be used as a reference for any statistics or methods course across the social, behavioral, and health sciences since these fields share a relatively similar approach to quantitative analysis. In this book, author Kyle Longest teaches the language of Stata from an intuitive perspective, furthering students’ overall retention and allowing a student with no experience in statistical software to work with data in a very short amount of time. The self-teaching style of this book enables novice Stata users to complete a basic quantitative research project from start to finish. The Second Edition covers the use of Stata 13 and can be used on its own or as a supplement to a research methods or statistics textbook. |
ranking analysis in spss: Research Methods and Biostatistics Mr. Rohit Manglik, 2024-03-05 EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels. |
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