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First published in 1986. Routledge is an imprint of Taylor & Francis, an informa company.

To say that complex data analyses are ubiquitous in the education and social sciences might be an understatement. Funding agencies and peer-review journals alike require that researchers use the most appropriate models and methods for explaining phenomena. Univariate and multivariate data structures often require the application of more rigorous methods than basic correlational or analysis of variance models. Additionally, though a vast set of resources may exist on how to run analysis, difficulties may be encountered when explicit direction is not provided as to how one should run a model and interpret results. The mission of this book is to expose the reader to advanced quantitative methods as it pertains to individual level analysis, multilevel analysis, item-level analysis, and covariance structure analysis. Each chapter is self-contained and follows a common format so that readers can run the analysis and correctly interpret the output for reporting.

In recent years, academics and professionals in the social sciences have forged significant advances in quantitative research methodologies specific to their respective disciplines. Although new and sophisticated techniques for large-scale data analyses have become commonplace in general educational, psychological, sociological, and econometric fields, many researchers in music education have yet to be exposed to such techniques. Design and Analysis of Quantitative Research in Music Education is a comprehensive reference for those involved with research in music education and related fields, providing a foundational understanding of quantitative inquiry methods. Authors Peter Miksza and Kenneth Elpus update and expand the set of resources that music researchers have at their disposal for conceptualizing and analyzing data pertaining to music-related phenomena. This text is designed to familiarize readers with foundational issues of quantitative inquiry as a point of view, introduce and elaborate upon issues of fundamental quantitative research design and analysis, and expose researchers to new, innovative, and exciting methods for dealing with complex research questions and analyzing large samples of data in a rigorous and thorough manner. With this resource, researchers will be better equipped for dealing with the challenges of the increasingly information-rich and data-driven environment surrounding music education. An accompanying companion website provides valuable supplementary exercises and videos.

The most authoritative synthesis of the quantitative spectroscopic analysis of stellar atmospheresThis book provides an in-depth and self-contained treatment of the latest advances achieved in quantitative spectroscopic analyses of the observable outer layers of stars and similar objects. Written by two leading researchers in the field, it presents a comprehensive account of both the physical foundations and numerical methods of such analyses. The book is ideal for astronomers who want to acquire deeper insight into the physical foundations of the theory of stellar atmospheres, or who want to learn about modern computational techniques for treating radiative transfer in non-equilibrium situations. It can also serve as a rigorous yet accessible introduction to the discipline for graduate students.Provides a comprehensive, up-to-date account of the fieldCovers computational methods as well as the underlying physicsServes as an ideal reference book for researchers and a rigorous yet accessible textbook for graduate studentsAn online illustration package is available to professors at press.princeton.edu

This book has been carefully restructured to present the basic theory alongside coverage of more practical subjects. This edition incorporates a much wider range of organic analyses, especially those which have a relationship to environmental topics, such as heavy metals, dissolved oxygen and chemical oxygen demand.

*What do advanced statistical techniques do?*When is it appropriate to use them?*How are they carried out and reported?There are a variety of statistical techniques used to analyse quantitative data that masters students, advanced undergraduates and researchers in the social sciences are expected to be able to understand and undertake. This book explains these techniques, when it is appropriate to use them, how to carry them out and how to write up the results. Most books which describe these techniques do so at too advanced or technical a level to be readily understood by many students who need to use them. In contrast the following features characterise this book:- concise and accessible introduction to calculating and interpreting advanced statistical techniques- use of a small data set of simple numbers specifically designed to illustrate the nature and manual calculation of the most important statistics in each technique- succinct illustration of writing up the results of these analyses- minimum of mathematical, statistical and technical notation- annotated bibliography and glossary of key conceptsCommonly used software is introduced, and instructions are presented for carrying out analyses and interpreting the output using the computer programs of SPSS Release 11 for Windows and a version of LISREL 8.51, which is freely available online. Designed as a textbook for postgraduate and advanced undergraduate courses across the socio-behavioural sciences, this book will also serve as a personal reference for researchers in disciplines such as sociology and psychology.

The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Focusing on each dimension of model uncertainty in separate chapters, the authors provide a systematic overview of existing tests and develop many new ones. Whether it be uncertainty about the population or sample, measurement, the set of explanatory variables and their functional form, causal or temporal heterogeneity, or effect dynamics or spatial dependence, this book provides guidance and offers tests that researchers from across the social sciences can employ in their own research.

The study of Quantitative EEGs and Neurofeedback offer a window into brain physiology and function via computer and statistical analyses, suggesting innovative approaches to the improvement of attention, anxiety, mood and behavior. Resources for understanding what QEEG and Neurofeedback is, how they are used, and to what disorders and patients they can be applied are scarce, and this volume serves as an ideal tool for clinical researchers and practicing clinicians, providing a broad overview of the most interesting topics relating to the techniques. The revised coverage of advancements, new applications (e.g. Aspberger's, music therapy, LORETA, etc.), and combinations of prior approaches make the second edition a necessary companion to the first. The top scholars in the field have been enlisted and contributions will offer both the breadth needed for an introductory scholar and the depth desired by a clinical professional.Detailed new protocols for treatment of anxiety, depression, ADHD, and PTSDNewest protocol in Z-score training enables clinicians to extend their practicesLORETA diagnostic tool lets the clinician watch for changes deep in the brain through working with surface EEG patterns

In recent years, academics and professionals in the social sciences have forged significant advances in quantitative research methodologies specific to their respective disciplines. Although new and sophisticated techniques for large-scale data analyses have become commonplace in general educational, psychological, sociological, and econometric fields, many researchers in music education have yet to be exposed to such techniques. Design and Analysis of Quantitative Research in Music Education is a comprehensive reference for those involved with research in music education and related fields, providing a foundational understanding of quantitative inquiry methods. Authors Peter Miksza and Kenneth Elpus update and expand the set of resources that music researchers have at their disposal for conceptualizing and analyzing data pertaining to music-related phenomena. This text is designed to familiarize readers with foundational issues of quantitative inquiry as a point of view, introduce and elaborate upon issues of fundamental quantitative research design and analysis, and expose researchers to new, innovative, and exciting methods for dealing with complex research questions and analyzing large samples of data in a rigorous and thorough manner. With this resource, researchers will be better equipped for dealing with the challenges of the increasingly information-rich and data-driven environment surrounding music education. An accompanying companion website provides valuable supplementary exercises and videos.

To say that complex data analyses are ubiquitous in the education and social sciences might be an understatement. Funding agencies and peer-review journals alike require that researchers use the most appropriate models and methods for explaining phenomena. Univariate and multivariate data structures often require the application of more rigorous methods than basic correlational or analysis of variance models. Additionally, though a vast set of resources may exist on how to run analysis, difficulties may be encountered when explicit direction is not provided as to how one should run a model and interpret results. The mission of this book is to expose the reader to advanced quantitative methods as it pertains to individual level analysis, multilevel analysis, item-level analysis, and covariance structure analysis. Each chapter is self-contained and follows a common format so that readers can run the analysis and correctly interpret the output for reporting.

In recent years, academics and professionals in the social sciences have forged significant advances in quantitative research methodologies specific to their respective disciplines. Although new and sophisticated techniques for large-scale data analyses have become commonplace in general educational, psychological, sociological, and econometric fields, many researchers in music education have yet to be exposed to such techniques. Design and Analysis of Quantitative Research in Music Education is a comprehensive reference for those involved with research in music education and related fields, providing a foundational understanding of quantitative inquiry methods. Authors Peter Miksza and Kenneth Elpus update and expand the set of resources that music researchers have at their disposal for conceptualizing and analyzing data pertaining to music-related phenomena. This text is designed to familiarize readers with foundational issues of quantitative inquiry as a point of view, introduce and elaborate upon issues of fundamental quantitative research design and analysis, and expose researchers to new, innovative, and exciting methods for dealing with complex research questions and analyzing large samples of data in a rigorous and thorough manner. With this resource, researchers will be better equipped for dealing with the challenges of the increasingly information-rich and data-driven environment surrounding music education. An accompanying companion website provides valuable supplementary exercises and videos.

Many researchers jump straight from data collection to data analysis without realizing how analyses and hypothesis tests can go profoundly wrong without clean data. This book provides a clear, step-by-step process to examining and cleaning data in order to decrease error rates and increase both the power and replicability of results. Jason W. Osborne, author of Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are research-based and will motivate change in practice by empirically demonstrating for each topic the benefits of following best practices and the potential consequences of not following these guidelines. If your goal is to do the best research you can do, draw conclusions that are most likely to be accurate representations of the population(s) you wish to speak about, and report results that are most likely to be replicated by other researchers, then this basic guidebook is indispensable.

The study of Quantitative EEGs and Neurofeedback offer a window into brain physiology and function via computer and statistical analyses, suggesting innovative approaches to the improvement of attention, anxiety, mood and behavior. Resources for understanding what QEEG and Neurofeedback is, how they are used, and to what disorders and patients they can be applied are scarce, and this volume serves as an ideal tool for clinical researchers and practicing clinicians, providing a broad overview of the most interesting topics relating to the techniques. The revised coverage of advancements, new applications (e.g. Aspberger's, music therapy, LORETA, etc.), and combinations of prior approaches make the second edition a necessary companion to the first. The top scholars in the field have been enlisted and contributions will offer both the breadth needed for an introductory scholar and the depth desired by a clinical professional.Detailed new protocols for treatment of anxiety, depression, ADHD, and PTSDNewest protocol in Z-score training enables clinicians to extend their practicesLORETA diagnostic tool lets the clinician watch for changes deep in the brain through working with surface EEG patterns

In recent years, academics and professionals in the social sciences have forged significant advances in quantitative research methodologies specific to their respective disciplines. Although new and sophisticated techniques for large-scale data analyses have become commonplace in general educational, psychological, sociological, and econometric fields, many researchers in music education have yet to be exposed to such techniques. Design and Analysis of Quantitative Research in Music Education is a comprehensive reference for those involved with research in music education and related fields, providing a foundational understanding of quantitative inquiry methods. Authors Peter Miksza and Kenneth Elpus update and expand the set of resources that music researchers have at their disposal for conceptualizing and analyzing data pertaining to music-related phenomena. This text is designed to familiarize readers with foundational issues of quantitative inquiry as a point of view, introduce and elaborate upon issues of fundamental quantitative research design and analysis, and expose researchers to new, innovative, and exciting methods for dealing with complex research questions and analyzing large samples of data in a rigorous and thorough manner. With this resource, researchers will be better equipped for dealing with the challenges of the increasingly information-rich and data-driven environment surrounding music education. An accompanying companion website provides valuable supplementary exercises and videos.

The most authoritative synthesis of the quantitative spectroscopic analysis of stellar atmospheresThis book provides an in-depth and self-contained treatment of the latest advances achieved in quantitative spectroscopic analyses of the observable outer layers of stars and similar objects. Written by two leading researchers in the field, it presents a comprehensive account of both the physical foundations and numerical methods of such analyses. The book is ideal for astronomers who want to acquire deeper insight into the physical foundations of the theory of stellar atmospheres, or who want to learn about modern computational techniques for treating radiative transfer in non-equilibrium situations. It can also serve as a rigorous yet accessible introduction to the discipline for graduate students.Provides a comprehensive, up-to-date account of the fieldCovers computational methods as well as the underlying physicsServes as an ideal reference book for researchers and a rigorous yet accessible textbook for graduate studentsAn online illustration package is available to professors at press.princeton.edu

In this comprehensive and lively study (the second trait a most welcome change from most demographic analyses), Bogen, Director of the Office of Immigrant Affairs, provides a summary of the legislative history of immigration to the city and extensive quantitative data on the new arrivals. She also discusses the character and quality of human and legal services for immigrants and refugees, reviews monetary and social costs and benefits, sets forth a series of recommendations for social policy, and ends with a thoughtful Paean to the Lady, the one with the lamp held high beside the Golden Door. In addition to its general contents, Bogen's book includes a most useful glossary of terms and acronyms so that readers, too, may know what it means to adjust one's status, understand the oxymoron called conditional permanent residence, take courses in ESL, and look to a volag for assistance. ChoiceThis insightful volume is a comprehensive discussion of immigration patterns in New York City today. Providing the reader with a history of immigration, the book examines the composition of the city's immigrant population and the various public and private social agencies that affect it, such as the city's health and education agencies, the refugee resettlement network, the Catholic Church, and the U.S. Immigration and Naturalization Service. The book challenges the popular but contradictory notion that immigrants cause unemployment for native-born Americans by accepting work at lower wages, while they raise taxes by living on welfare.

Oral History is part of the Understanding Qualitative Research series, which is designed to provide researchers with authoritative guides to understanding, presenting, and critiquing analyses and associated inferences. There are three subareas in this series: Quantitative Research, Measurement, and Qualitative Research. This volume fits in the Qualitative Research group and addresses issues surrounding oral history - how to both fully and succinctly report and present this material, as well as the challenges of evaluating it.

This book provides a concise and up-to-date summary of the essential thermo-hydraulic analyses and design principles of nuclear reactors for electricity generation. Beginning with the basic nuclear physics, it leads through technical and quantitative analyses to descriptions of both the normal operation of the various modern nuclear reactor designs and the analyses of the possible departures from normal operation. It then describes both the postulated accident scenarios and summaries of the causes for the three major nuclear power generation accidents, Three Mile Island, Chernobyl and Fukushima, as well as the major improvements to reactor safety that grew out of those analyses and accidents.

This 1976 text is a pioneering study in the applications to archaeology of modern statistical and quantitative techniques. The authors show how these techniques, when sensitively employed, can dramatically extend and refine the information presented in distribution maps and other analyses of spatial relationships. Techniques of interpretation 'by inspection' can now be made more powerful and rigorous; at the same time interest has turned from the examination of such sites and artefacts as 'things' to the spatial relationships between such things, their relationships to one another and to landscape features, soils and other resources. This book was the first to apply the available techniques systematically to the special problems and interests of archaeologists. It also demonstrates to geographers and other social scientists who may be familiar with analogous applications in their own fields the exciting interdisciplinary developments this facilitates, for example in studies of exchange networks, trade and settlement patterns, and cultural history.

Oral History is part of the Understanding Qualitative Research series, which is designed to provide researchers with authoritative guides to understanding, presenting, and critiquing analyses and associated inferences. There are three subareas in this series: Quantitative Research, Measurement, and Qualitative Research. This volume fits in the Qualitative Research group and addresses issues surrounding oral history - how to both fully and succinctly report and present this material, as well as the challenges of evaluating it.