Multilevel Modeling In Plain Language
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Multilevel Modeling In Plain Language
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Author : Karen Robson
language : en
Publisher:
Release Date : 2016
Multilevel Modeling In Plain Language written by Karen Robson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Multilevel models (Statistics) categories.
Have you been told you need to do multilevel modeling, but you can't get past the forest of equations? Do you need the techniques explained with words and practical examples so they make sense? Help is here! This book unpacks these statistical techniques in easy-to-understand language with fully annotated examples using the statistical software Stata. The techniques are explained without reliance on equations and algebra so that new users will understand when to use these approaches and how they are really just special applications of ordinary regression. Using real life data, the authors show you how to model random intercept models and random coefficient models for cross-sectional data in a way that makes sense and can be retained and repeated. This book is the perfect answer for anyone who needs a clear, accessible introduction to multilevel modeling.
Multilevel Modeling In Plain Language
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Author : Karen Robson
language : en
Publisher: SAGE
Release Date : 2015-11-02
Multilevel Modeling In Plain Language written by Karen Robson and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-02 with Reference categories.
Have you been told you need to do multilevel modeling, but you can't get past the forest of equations? Do you need the techniques explained with words and practical examples so they make sense? Help is here! This book unpacks these statistical techniques in easy-to-understand language with fully annotated examples using the statistical software Stata. The techniques are explained without reliance on equations and algebra so that new users will understand when to use these approaches and how they are really just special applications of ordinary regression. Using real life data, the authors show you how to model random intercept models and random coefficient models for cross-sectional data in a way that makes sense and can be retained and repeated. This book is the perfect answer for anyone who needs a clear, accessible introduction to multilevel modeling.
Multilevel Modeling
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Author : G. David Garson
language : en
Publisher: SAGE Publications
Release Date : 2019-07-31
Multilevel Modeling written by G. David Garson and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-31 with Education categories.
Multilevel Modeling: Applications in STATA®, IBM® SPSS®, SAS®, R & HLMTM provides a gentle, hands-on illustration of the most common types of multilevel modeling software, offering instructors multiple software resources for their students and an applications-based foundation for teaching multilevel modeling in the social sciences. Author G. David Garson’s step-by-step instructions for software walk readers through each package. The instructions for the different platforms allow students to get a running start using the package with which they are most familiar while the instructor can start teaching the concepts of multilevel modeling right away. Instructors will find this text serves as both a comprehensive resource for their students and a foundation for their teaching alike.
Interpreting And Visualizing Regression Models Using Stata
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Author : MICHAEL N. MITCHELL
language : en
Publisher: Stata Press
Release Date : 2020-12-18
Interpreting And Visualizing Regression Models Using Stata written by MICHAEL N. MITCHELL and has been published by Stata Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-18 with categories.
Interpreting and Visualizing Regression Models Using Stata, Second Edition provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models. Including over 200 figures, the book illustrates linear models with continuous predictors (modeled linearly, using polynomials, and piecewise), interactions of continuous predictors, categorical predictors, interactions of categorical predictors, and interactions of continuous and categorical predictors. The book also illustrates how to interpret and visualize results from multilevel models, models where time is a continuous predictor, models with time as a categorical predictor, nonlinear models (such as logistic or ordinal logistic regression), and models involving complex survey data. The examples illustrate the use of the margins, marginsplot, contrast, and pwcompare commands. This new edition reflects new and enhanced features added to Stata, most importantly the ability to label statistical output using value labels associated with factor variables. As a result, output regarding marital status is labeled using intuitive labels like Married and Unmarried instead of using numeric values such as 1 and 2. All the statistical output in this new edition capitalizes on this new feature, emphasizing the interpretation of results based on variables labeled using intuitive value labels. Additionally, this second edition illustrates other new features, such as using transparency in graphics to more clearly visualize overlapping confidence intervals and using small sample-size estimation with mixed models. If you ever find yourself wishing for simple and straightforward advice about how to interpret and visualize regression models using Stata, this book is for you.
Multilevel Analysis
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Author : T. A. B. Snijders
language : en
Publisher:
Release Date : 1999
Multilevel Analysis written by T. A. B. Snijders and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Mathematical models categories.
Multilevel analysis covers all the main methods, techniques and issues for carrying out multilevel modeling and analysis. The approach is applied, and less mathematical than many other textbooks.
The Multivariate Social Scientist
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Author : Graeme D Hutcheson
language : en
Publisher: SAGE
Release Date : 1999-05-19
The Multivariate Social Scientist written by Graeme D Hutcheson and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-05-19 with Social Science categories.
Starting from simple hypothesis testing and then moving towards model-building, this valuable book takes readers through the basics of multivariate analysis including: which tests to use on which data; how to run analyses in SPSS for Windows and GLIM4; how to interpret results; and how to report and present the reports appropriately. Using a unified conceptual framework (based around the Generalized Linear Model) the authors explain the commonalities and relationships between methods that include both the analysis of categorical and continuous data.
Multilevel And Longitudinal Modeling With Ibm Spss
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Author : Ronald H. Heck
language : en
Publisher: Routledge
Release Date : 2013-08-22
Multilevel And Longitudinal Modeling With Ibm Spss written by Ronald H. Heck and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-22 with Psychology categories.
This book demonstrates how to use multilevel and longitudinal modeling techniques available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide readers with a step-by-step understanding of each technique and navigating the program. Readers learn how to set up, run, and interpret a variety of models. Diagnostic tools, data management issues, and related graphics are introduced throughout. Annotated syntax is also available for those who prefer this approach. Extended examples illustrate the logic of model development to show readers the rationale of the research questions and the steps around which the analyses are structured. The data used in the text and syntax examples are available at www.routledge.com/9780415817110. Highlights of the new edition include: Updated throughout to reflect IBM SPSS Version 21. Further coverage of growth trajectories, coding time-related variables, covariance structures, individual change and longitudinal experimental designs (Ch.5). Extended discussion of other types of research designs for examining change (e.g., regression discontinuity, quasi-experimental) over time (Ch.6). New examples specifying multiple latent constructs and parallel growth processes (Ch. 7). Discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures (Ch.1). The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques which facilitate working with multilevel, longitudinal, and cross-classified data sets. Chapters 3 and 4 introduce the basics of multilevel modeling: developing a multilevel model, interpreting output, and trouble-shooting common programming and modeling problems. Models for investigating individual and organizational change are presented in chapters 5 and 6, followed by models with multivariate outcomes in chapter 7. Chapter 8 provides an illustration of multilevel models with cross-classified data structures. The book concludes with ways to expand on the various multilevel and longitudinal modeling techniques and issues when conducting multilevel analyses. It's ideal for courses on multilevel and longitudinal modeling, multivariate statistics, and research design taught in education, psychology, business, and sociology.
Introducing Multilevel Modeling
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Author : Ita G G Kreft
language : en
Publisher: SAGE
Release Date : 1998-04-07
Introducing Multilevel Modeling written by Ita G G Kreft and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-04-07 with Social Science categories.
This is the first accessible and practical guide to using multilevel models in social research. Multilevel approaches are becoming increasingly important in social, behavioural, and educational research and it is clear from recent developments that such models are seen as being more realistic, and potentially more revealing, than ordinary regression models. While other books describe these multilevel models in considerable detail none focuses on the practical issues and potential problems of doing multilevel analyses that are covered in Introducing Multilevel Modeling. The authors' approach is user-oriented and the formal mathematics and statistics are kept to a minimum. Other key features include the use of worked examples using real data sets, analyzed using the leading computer package for multilevel modeling - "MLn." Discussion site at: http: \www.stat.ucla.eduphplibw-agoraw-agora.phtml?bn=Sagebook Data files mentioned in the book are available from: http: \www.stat.ucla.edu deleeuwsagebook
Multilevel Modeling
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Author : Douglas A. Luke
language : en
Publisher: SAGE
Release Date : 2004-07-08
Multilevel Modeling written by Douglas A. Luke and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-07-08 with Mathematics categories.
Taking a practical, hands-on approach to multilevel modeling, this book provides readers with an accessible and concise introduction to HLM and how to use the technique to build models for hierarchical and longitudinal data. Each section of the book answers a basic question about multilevel modeling, such as, "How do you determine how well the model fits the data?" After reading this book, readers will understand research design issues associated with multilevel models, be able to accurately interpret the results of multilevel analyses, and build simple cross-sectional and longitudinal multilevel models.
Realistic Evaluation
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Author : Ray Pawson
language : en
Publisher: SAGE
Release Date : 1997-04-23
Realistic Evaluation written by Ray Pawson and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-04-23 with Social Science categories.
Realistic Evaluation shows how program evaluation needs to be, and can be bettered. It presents a profound yet highly readable critique of current evaluation practice, and goes on to introduce a `manifesto′ and `handbook′ for a fresh approach. The main body of this book is devoted to the articulation of a new evaluation paradigm, which promises greater validity and utility from the findings of evaluation studies. The authors call this new approach `realistic evaluation′. The name reflects the paradigm′s foundation in scientific realist philosophy, its commitment to the idea that programmes deal with real problems rather than mere social constructions, and its primary intention, which is to inform realistic developments in policy making that benefit programme participants and the public. Ray Pawson and Nicholas Tilley argue with passion that scientific evaluation requires a careful blend of theory and method, quality and quantity, ambition and realism. The book offers a complete blueprint for evaluation activities, running from design to data collection and analysis to the cumulation of findings across programmes and onto the realization of research into policy. The argument is developed using practical examples throughout and is grounded in the major fields of programme evaluation. This book will be essential reading for all those involved in the evaluation process especially those researchers, students and practitioners in the core disciplines of sociology, social policy, criminology, health and education. `This book is a must for those engaged in the field, providing a fully illustrated text on evaluation with numerous examples from the criminal justice system. Unusually, it offers something for the academic, practitioner and student alike. I found Pawson and Tilley′s latest work on evaluation an enjoyable and informative read. For myself their "realistic evaluation" clarified and formalised a jumbled set of ideas I had already been developing. Although not everyone will agree with the methodology proposed by the authors, this book is a valuable read as it will cause most of us at least to review our methodological stance′ - International Journal of Police Science and Management `This is an engaging book with a strong sense of voice and communicative task. The voice is sometimes strident, but always clear. Its communicative qualities are evident equally in its structure: lots of signposting for the reader within and across chapters′ - Language Teaching Research `This provocative, elegant and highly insightful book focuses on the effective incorporation of actual practice into the formulation of evaluation methodology. What a pleasure to read sentences like: "The research act involves "learning" a stakeholder′s theories, formalizing them, and "teaching" them back to that informant who is then in a position to comment upon, clarify and further refine the key ideas". Pawson and Tilley have given us a wise, witty and persuasive account of how real practitioner experience might be encouraged to intrude on (and modify) researchers′ concepts about program processes and outcomes. This holds important promise for achieving something that is devoutly to be wished: closer interaction among at least some researchers and some policy makers′ - Eleanor Chelimsky, Past-President of the American Evaluation Association `This is a sustained methodological argument by two wordly-wise social scientists. Unashamedly intellectual, theoretically ambitious yet with a clear but bounded conception of evaluation. It is articulate, occasionally eloquent and always iconoclastic, whilst eschewing "paradigm wars". The Pawson and Tilley "realist" call to arms threatens to take no prisoners among experimentalists, constructivists or pluralists. It is the kind of book that clarifies your thoughts, even when you disagree with everything they say′ - Elliot Stern, The Tavistock Institute