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Author: R.j.reddy
Publisher: APH Publishing
ISBN: 9788176486378
Category :
Languages : en
Pages : 356
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Book Description
Author: R.j.reddy
Publisher: APH Publishing
ISBN: 9788176486378
Category :
Languages : en
Pages : 356
Get Book Here
Book Description
Author: Richard A. Berk
Publisher: SAGE
ISBN: 9780761929048
Category : Mathematics
Languages : en
Pages : 286
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Book Description
PLEASE UPDATE SAGE INDIA AND SAGE UK ADDRESSES ON IMPRINT PAGE.
Author: Shenyang Guo
Publisher: SAGE
ISBN: 1452235007
Category : Business & Economics
Languages : en
Pages : 449
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Book Description
Provides readers with a systematic review of the origins, history, and statistical foundations of Propensity Score Analysis (PSA) and illustrates how it can be used for solving evaluation and causal-inference problems.
Author: Reid Ewing
Publisher: Routledge
ISBN: 1000036421
Category : Architecture
Languages : en
Pages : 307
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Book Description
Advanced Quantitative Research Methods for Urban Planners provides fundamental knowledge and hands-on techniques about research, such as research topics and key journals in the planning field, advice for technical writing, and advanced quantitative methodologies. This book aims to provide the reader with a comprehensive and detailed understanding of advanced quantitative methods and to provide guidance on technical writing. Complex material is presented in the simplest and clearest way possible using real-world planning examples and making the theoretical content of each chapter as tangible as possible. Hands-on techniques for a variety of quantitative research studies are covered to provide graduate students, university faculty, and professional researchers with useful guidance and references. A companion to Basic Quantitative Research Methods for Urban Planners, Advanced Quantitative Research Methods for Urban Planners is an ideal read for researchers who want to branch out methodologically and for practicing planners who need to conduct advanced analyses with planning data.
Author: Walter R. Paczkowski
Publisher: Routledge
ISBN: 1351713094
Category : Business & Economics
Languages : en
Pages : 339
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Book Description
The theme of this book is simple. The price – the number someone puts on a product to help consumers decide to buy that product – comes from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to get the number to put on a product. But statistical modeling is not done in a vacuum. Economic and statistical principles and theory conjointly provide the background and framework for the models. Therefore, this book emphasizes two interlocking components of modeling: economic theory and statistical principles. The economic theory component is sufficient to provide understanding of the basic principles for pricing, especially about elasticities, which measure the effects of pricing on key business metrics. Elasticity estimation is the goal of statistical modeling, so attention is paid to the concept and implications of elasticities. The statistical modeling component is advanced and detailed covering choice (conjoint, discrete choice, MaxDiff) and sales data modeling. Experimental design principles, model estimation approaches, and analysis methods are discussed and developed for choice models. Regression fundamentals have been developed for sales model specification and estimation and expanded for latent class analysis.
Author: Marvin Titus
Publisher: Springer Nature
ISBN: 303060831X
Category : Social Science
Languages : en
Pages : 249
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Book Description
This textbook introduces graduate students in education and policy research to data and statistical methods in state-level higher education policy analysis. It also serves as a methodological guide to students, practitioners, and researchers who want a clear approach to conducting higher education policy analysis that involves the use of institutional- and state-level secondary data and quantitative methods ranging from descriptive to advanced statistical techniques. This book is unique in that it introduces readers to various types of data sources and quantitative methods utilized in policy research and in that it demonstrates how results of statistical analyses should be presented to higher education policy makers. It helps to bridge the gap between researchers, policy makers, and practitioners both within education policy and between other fields. Coverage includes identifying pertinent data sources, the creation and management of customized data sets, teaching beginning and advanced statistical methods and analyses, and the presentation of analyses for different audiences (including higher education policy makers).
Author: David Kaplan
Publisher: SAGE Publications
ISBN: 148334259X
Category : Social Science
Languages : en
Pages : 306
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Book Description
Using detailed, empirical examples, Structural Equation Modeling, Second Edition, presents a thorough and sophisticated treatment of the foundations of structural equation modeling (SEM). It also demonstrates how SEM can provide a unique lens on the problems social and behavioral scientists face. Intended Audience While the book assumes some knowledge and background in statistics, it guides readers through the foundations and critical assumptions of SEM in an easy-to-understand manner.
Author: Jason W. Osborne
Publisher: SAGE
ISBN: 1412940656
Category : Social Science
Languages : en
Pages : 609
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Book Description
The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.
Author: Anthony S. Bryk
Publisher: SAGE Publications, Incorporated
ISBN:
Category : Mathematics
Languages : en
Pages : 296
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Book Description
Hierarchical Linear Models launches a new Sage series, Advanced Quantitative Techniques in the Social Sciences. This introductory text explicates the theory and use of hierarchical linear models (HLM) through rich, illustrative examples and lucid explanations. The presentation remains reasonably nontechnical by focusing on three general research purposes - improved estimation of effects within an individual unit, estimating and testing hypotheses about cross-level effects, and partitioning of variance and covariance components among levels. This innovative volume describes use of both two and three level models in organizational research, studies of individual development and meta-analysis applications, and concludes with a formal derivation of the statistical methods used in the book.
Author: George A. Steiner
Publisher: Simon and Schuster
ISBN: 1451602537
Category : Business & Economics
Languages : en
Pages : 408
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Book Description
In today's complex world of business, strategic planning is indispensable to effective management. Ever since the mid-1950's, when American companies began to develop formal long-range planning systems, wise managers have understood the importance of knowing where their firm was headed and how it intended to get there. To function effectively in a modern, planned operation, every manager must have a practical understanding of how the planning process works. That's exactly what this book offers: a step-by-step guide to strategic planning. George A. Steiner, a well-known expert in the field of management, provides a concise, jargon-free handbook that avoids abstract theory and takes you straight to the how-to of planning. Whether you're designing and implementing a new plan or working with a plan that's already in operation, Strategic Planning puts the information you need at your fingertips. It takes you through every stage of the process, from idea to execution to evaluation. (And explains Fifty Common Pitfalls you'll need to know about.)You can plug your own data into the lucid charts, tables, and checklists for a valuable start on getting organized and evaluating your planning needs. And there's plenty of penetrating discussion about the questions and quandaries you're likely to meet along the way. For example: * How do you identify, evaluate, and implement strategies? * How do you design a planning system to fit the unique characteristics of you and your company? * Can an intuitive manager do formal strategic planning? * What are some ways to develop clear objectives? * What human behavior factors can endanger planning and how can managers overcome them? * How, and when, should a situation audit be made? * What do you need to know about computer models? * How can business planning lessons be applied to not-for-profit organizations? * How can managers apply lessons of planning experience to the planning of their own careers? You don't have to get an advanced degree to make strategic planning a part of your management style. All you need is the expert advice in this idea-packed handbook. (As a bonus the book includes a glossary of the terms, tools, and techniques of strategic planning.)
