http://www.lybrary.com/index.php?cPath=1167 Copyright © 2013 Lybrary.comThe latest edition of this best-selling introduction to Quantitative Data Analysis through the use of a computer package has been completely updated to accomodate the needs of users of SPSS release 8 for Windows.http://www.lybrary.com/quantitative-data-analysis-with-spss-release-8-for-windows-p-301010.htmlhttp://www.lybrary.com/quantitative-data-analysis-with-spss-release-8-for-windows-p-301010.htmlFri, 31 May 2013 02:33:50 EDT <span><span><span style="font-style:italic;">Crime in the United States </span><span>contains findings from the Federal Bureau of Investigation (FBI) of the offenses, known to law enforcement, released annually from its Uniform Crime Reporting Program. Because the FBI no longer prints these findings, Bernan Press continues to provide this practical information in convenient book form.<p>In this intricately detailed source, legal and law enforcement professionals, researchers, and those who are just curious will find violent and property crime statistics for the nation as a whole—and for regions, states, counties, cities, towns, and even college and university campuses.<br></span></span></span>http://www.lybrary.com/crime-in-the-united-states-2013-p-278018.htmlhttp://www.lybrary.com/crime-in-the-united-states-2013-p-278018.htmlThu, 11 Apr 2013 15:37:40 EDT <cite>Crime in the United States</cite> contains findings from the Federal Bureau of Investigation (FBI) of the offenses, known to law enforcement, released annually from its Uniform Crime Reporting Program. Because the FBI no longer prints these findings, Bernan Press continues to provide this practical information in convenient ebook form.
<p>
In this intricately detailed source, legal and law enforcement professionals, researchers, and those who are just curious will find violent and property crime statistics for the nation as a whole - and for regions, states, counties, cities, towns, and even college and university campuses.
<p>
New in 2012
<p>
A section on crime trends and the rise in Internet crime, including recent high profile cyber crime and tips on protecting your personal information and credit card accounts.http://www.lybrary.com/crime-in-the-united-states-2012-p-258614.htmlhttp://www.lybrary.com/crime-in-the-united-states-2012-p-258614.htmlWed, 13 Feb 2013 07:52:43 EST <span><span><span>Find out how your county or city measures up with others across the United States! Updated annually to guarantee convenient access to current statistical information, </span><span style="font-style:italic;">County and City Extra</span><span> is a single-volume source of data for every U.S. state, county, metropolitan area, Congressional district, and all cities with populations above 25,000.</span></span><br /><span><span> </span></span><br /></span>http://www.lybrary.com/county-and-city-extra-2012-annual-metro-city-and-county-data-book-p-249341.htmlhttp://www.lybrary.com/county-and-city-extra-2012-annual-metro-city-and-county-data-book-p-249341.htmlSat, 05 Jan 2013 01:50:25 EST <p>This book presents recent developments in the theory and application of latent variable models (LVMs) by some of the most prominent researchers in the field. Topics covered involve a range of LVM frameworks including item response theory, structural equation modeling, factor analysis, and latent curve modeling, as well as various non-standard data structures and innovative applications.<p>The book is divided into two sections, although several chapters cross these content boundaries. Part one focuses on complexities which involve the adaptation of latent variables models in research problems where real-world conditions do not match conventional assumptions. Chapters in this section cover issues such as analysis of dyadic data and complex survey data, as well as analysis of categorical variables. Part two of the book focuses on drawing real-world meaning from results obtained in LVMs. In this section there are chapters examining issues involving assessment of model fit, the nature of uncertainty in parameter estimates, inferences, and the nature of latent variables and individual differences.</p><p>This book appeals to researchers and graduate students interested in the theory and application of latent variable models. As such it serves as a supplementary reading in graduate level courses on latent variable models. Prerequisites include basic knowledge of latent variable models.<BR></p>http://www.lybrary.com/current-issues-in-the-theory-and-application-of-latent-variable-models-p-243399.htmlhttp://www.lybrary.com/current-issues-in-the-theory-and-application-of-latent-variable-models-p-243399.htmlFri, 14 Dec 2012 01:31:11 EST <i>Statistical Methods for Communication Science</i> is the only statistical methods volume currently available that focuses exclusively on statistics in communication research. Writing in a straightforward, personal style, author Andrew F. Hayes offers this accessible and thorough introduction to statistical methods, starting with the fundamentals of measurement and moving on to discuss such key topics as sampling procedures, probability, reliability, hypothesis testing, simple correlation and regression, and analyses of variance and covariance. Hayes takes readers through each topic with clear explanations and illustrations. He provides a multitude of examples, all set in the context of communication research, thus engaging readers directly and helping them to see the relevance and importance of statistics to the field of communication.<p>Highlights of this text include:<br>*thorough and balanced coverage of topics;<br>*integration of classical methods with modern "resampling" approaches to inference;<br>*consideration of practical, "real world" issues;<br>*numerous examples and applications, all drawn from communication research;<br>*up-to-date information, with examples justifying use of various techniques; and<br>*a CD with macros, data sets, figures, and additional materials.<p>This unique book can be used as a stand-alone classroom text, a supplement to traditional research methods texts, or a useful reference manual. It will be invaluable to students, faculty, researchers, and practitioners in communication, and it will serve to advance the understanding and use of statistical methods throughout the discipline.http://www.lybrary.com/statistical-methods-for-communication-science-p-243049.htmlhttp://www.lybrary.com/statistical-methods-for-communication-science-p-243049.htmlThu, 13 Dec 2012 06:33:00 EST <p>This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at www.psypress.com/9781848729568.</p><p>The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced.</p><p>Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors' highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.<BR></p>http://www.lybrary.com/multilevel-modeling-of-categorical-outcomes-using-ibm-spss-p-240582.htmlhttp://www.lybrary.com/multilevel-modeling-of-categorical-outcomes-using-ibm-spss-p-240582.htmlWed, 05 Dec 2012 17:31:09 EST <p>This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at www.psypress.com/9781848729568.</p><p>The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced.</p><p>Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors' highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.<BR></p>http://www.lybrary.com/multilevel-modeling-of-categorical-outcomes-using-ibm-spss-p-240581.htmlhttp://www.lybrary.com/multilevel-modeling-of-categorical-outcomes-using-ibm-spss-p-240581.htmlWed, 05 Dec 2012 16:32:58 EST Basic Statistics provides an accessible and comprehensive introduction to statistics using the free, state-of-the-art software program R. This book is designed to both introduce students to key concepts in statistics and to provide simple instructions for using the powerful software program R.http://www.lybrary.com/basic-statistics-an-introduction-with-r-p-235519.htmlhttp://www.lybrary.com/basic-statistics-an-introduction-with-r-p-235519.htmlFri, 16 Nov 2012 09:34:01 EST <p>Intended to bridge the gap between the latest methodological developments and cross-cultural research, this interdisciplinary resource presents the latest strategies for analyzing cross-cultural data. Techniques are demonstrated through the use of applications that employ cross national data sets such as the latest European Social Survey. With an emphasis on the generalized latent variable approach, internationally-prominent researchers from a variety of fields explain how the methods work, how to apply them, and how they relate to other methods presented in the book. Syntax and graphical and verbal explanations of the techniques are included. A website features some of the data sets and syntax commands used in the book.</p><p><STRONG>Applications from the behavioral and social sciences that use real data-sets demonstrate:</STRONG></p><UL> <LI>The use of samples from 17 countries to validate the resistance to change scale across these nations</LI> <LI>How to test the cross-national invariance properties of social trust</LI> <LI>The interplay between social structure, religiosity, values, and social attitudes</LI> <LI>A comparison of anti-immigrant attitudes and patterns of religious orientations across European countries.</LI></UL><p>The book is divided into techniques for analyzing cross-cultural data within the generalized-latent-variable approach: multiple-group confirmatory factor analysis and multiple-group structural equation modeling; multi-level analysis; latent class analysis; and item-response theory. Since researchers from various disciplines often use different methodological approaches, a consistent framework for describing and applying each method is used so as to cross 'methodological borders' between disciplines. Some chapters describe the basic strategy and how it relates to other techniques presented in the book, others apply the techniques and address specific research questions, and a few combine the two. A table in the preface highlights for each chapter: a description of the contents, the statistical methods used, the goal(s) of the analysis, and the data set employed.</p><p>This book is intended for researchers, practitioners, and advanced students interested in cross-cultural research. Because the applications span a variety of disciplines, the book will appeal to researchers and students in: psychology, political science, sociology, education, marketing and economics, geography, criminology, psychometrics, epidemiology, and public health, as well as those interested in methodology. It is also appropriate for an advanced methods course in cross-cultural analysis.</p>http://www.lybrary.com/crosscultural-analysis-methods-and-applications-p-226104.htmlhttp://www.lybrary.com/crosscultural-analysis-methods-and-applications-p-226104.htmlSat, 20 Oct 2012 07:31:58 EDT <p>This new work offers a clear and thorough account of the threats posed by bioterrorism from the perspective of biologists. The authors examine thirteen disease-causing agents, including those responsible for anthrax, the plague, smallpox, influenza, and SARS. Each chapter considers a particular pathogen from the standpoint of its history, molecular biology, pathology, clinical presentation, diagnosis, weaponization, and defenses. The book also examines strategies for making vaccines and protecting the population in a bioterror attack.</p>http://www.lybrary.com/agents-of-bioterrorism-pathogens-and-their-weaponization-p-215985.htmlhttp://www.lybrary.com/agents-of-bioterrorism-pathogens-and-their-weaponization-p-215985.htmlTue, 18 Sep 2012 04:33:25 EDT Crime in the United States contains findings that the FBI releases annually from its Uniform Crime Reporting (UCR) Program. No longer printed by the Federal Bureau of Investigation (FBI), Bernan Press continues to provide this practical information in convenient book form. Legal and law enforcement professionals and researchers will find crime statistics for the nation as a whole-and for regions, states, counties, cities, towns, and college and university campuses on murder and non-negligent manslaughter, forcible rape, robbery, and aggravated assault. Statistics also cover the property crimes of burglary, arson, larceny-theft, and motor vehicle theft.http://www.lybrary.com/crime-in-the-united-states-2008-uniform-crime-reports-p-203770.htmlhttp://www.lybrary.com/crime-in-the-united-states-2008-uniform-crime-reports-p-203770.htmlWed, 22 Aug 2012 09:22:18 EDT <p><i>Social Trends in American Life</i> assembles a team of leading researchers to provide unparalleled insight into how American social attitudes and behaviors have changed since the 1970s. Drawing on the General Social Survey--a social science project that has tracked demographic and attitudinal trends in the United States since 1972--it offers a window into diverse facets of American life, from intergroup relations to political views and orientations, social affiliations, and perceived well-being.</p><p>Among the book's many important findings are the greater willingness of ordinary Americans to accord rights of free expression to unpopular groups, to endorse formal racial equality, and to accept nontraditional roles for women in the workplace, politics, and the family. Some, but not all, signs indicate that political conservatism has grown, while a few suggest that Republicans and Democrats are more polarized. Some forms of social connectedness such as neighboring have declined, as has confidence in government, while participation in organized religion has softened. Despite rising standards of living, American happiness levels have changed little, though financial and employment insecurity has risen over three decades.</p><p><i>Social Trends in American Life</i> provides an invaluable perspective on how Americans view their lives and their society, and on how these views have changed over the last two generations.</p>http://www.lybrary.com/social-trends-in-american-life-findings-from-the-general-social-survey-since-1972-p-202017.htmlhttp://www.lybrary.com/social-trends-in-american-life-findings-from-the-general-social-survey-since-1972-p-202017.htmlWed, 15 Aug 2012 00:31:30 EDT <p>Some in the social sciences argue that the same logic applies to both qualitative and quantitative methods. In <i>A Tale of Two Cultures</i>, Gary Goertz and James Mahoney demonstrate that these two paradigms constitute different cultures, each internally coherent yet marked by contrasting norms, practices, and toolkits. They identify and discuss major differences between these two traditions that touch nearly every aspect of social science research, including design, goals, causal effects and models, concepts and measurement, data analysis, and case selection. Although focused on the differences between qualitative and quantitative research, Goertz and Mahoney also seek to promote toleration, exchange, and learning by enabling scholars to think beyond their own culture and see an alternative scientific worldview. This book is written in an easily accessible style and features a host of real-world examples to illustrate methodological points.</p>http://www.lybrary.com/a-tale-of-two-cultures-qualitative-and-quantitative-research-in-the-social-sciences-p-196098.htmlhttp://www.lybrary.com/a-tale-of-two-cultures-qualitative-and-quantitative-research-in-the-social-sciences-p-196098.htmlSun, 29 Jul 2012 04:30:55 EDT <span><span><span>In the fall of 2011, the Census Bureau released data from the American Community Survey (ACS) one-year (2010) and three-year (2008–2010) estimates for the United States. This third edition of </span><span style="font-style:italic;">The Who, What, and Where of America</span><span> is the first to include data on unmarried partner households, health insurance coverage, and median real estate tax. It uses the ACS data to present a concise resource of information that tells a story about America—its population, levels of education, types of employment and housing, and patterns of migration and transportation in one, convenient volume.</span></span><br /><span><span> </span></span><br /></span>http://www.lybrary.com/the-who-what-and-where-of-america-understanding-the-american-community-survey-p-193487.htmlhttp://www.lybrary.com/the-who-what-and-where-of-america-understanding-the-american-community-survey-p-193487.htmlThu, 19 Jul 2012 02:45:52 EDT The Gallup Poll is the most comprehensive single source of American public opinion. For well over 60 years, the Gallup Organization has recorded the attitudes, beliefs, and values of Americans. The Gallup Poll is the only single work that captures the constantly shifting opinions and perceptions of Americans. Now available, in this one volume, is an invaluable reference tool to the 1998-2007 volumes of the Gallup Poll. The Cumulative Index allows researchers easy access to the results of the polls conducted between 1998 and 2007. All libraries, particularly those who own all or a portion of the annual editions will want to add this important resource to their collection.http://www.lybrary.com/the-gallup-poll-cumulative-index-p-182272.htmlhttp://www.lybrary.com/the-gallup-poll-cumulative-index-p-182272.htmlMon, 11 Jun 2012 05:48:13 EDT The first comprehensive structural equation modeling (SEM) handbook, this accessible volume presents both the mechanics of SEM and specific SEM strategies and applications. The editor, contributors, and editorial advisory board are leading methodologists who have organized the book to move from simpler material to more statistically complex modeling approaches. Sections cover the foundations of SEM; statistical underpinnings, from assumptions to model modifications; steps in implementation, from data preparation through writing the SEM report; and basic and advanced applications, including new and emerging topics in SEM. Each chapter provides conceptually oriented descriptions, fully explicated analyses, and engaging examples that reveal modeling possibilities for use with readers' data. Many of the chapters also include access to data and syntax files at the companion website, allowing readers to try their hands at reproducing the authors' results.http://www.lybrary.com/handbook-of-structural-equation-modeling-p-177214.htmlhttp://www.lybrary.com/handbook-of-structural-equation-modeling-p-177214.htmlTue, 22 May 2012 21:31:54 EDT Crime in the United States contains findings that the FBI releases annually from its Uniform Crime Reporting Program. Because it is no longer printed by the Federal Bureau of Investigation, Bernan Press continues to provide this practical information in convenient book form. In addition to crime counts and trends, the third edition includes: · A new section on hate crimes with data by offense type, location, bias motivation, victim type, number of individual victims, number of offenders, and the race of offenders · Data on crimes cleared · Persons arrested (age, sex, and race) · Law enforcement personnel (including the number of sworn officers killed or assaulted) · The characteristics of homicides (including age, sex, and race of victims and offenders; victim-offender relationships; weapons used; and circumstances surrounding the homicides) Legal and law enforcement professionals and researchers will find crime statistics for the nation as a whole-and for regions, states, counties, cities, towns, and college and university campuses on murder and non-negligent manslaughter, forcible rape, robbery, and aggravated assault. Statistics also cover the property crimes of burglary, arson, larceny-theft, and motor vehicle thttp://www.lybrary.com/crime-in-the-united-states-2009-p-173156.htmlhttp://www.lybrary.com/crime-in-the-united-states-2009-p-173156.htmlSat, 12 May 2012 11:10:32 EDT <p>Statistical power analysis has revolutionized the ways in which we conduct and evaluate research. Similar developments in the statistical analysis of incomplete (missing) data are gaining more widespread applications. This volume brings statistical power and incomplete data together under a common framework, in a way that is readily accessible to those with only an introductory familiarity with structural equation modeling. It answers many practical questions such as:</p><UL><li>How missing data affects the statistical power in a study </LI> <LI>How much power is likely with different amounts and types of missing data </LI> <LI>How to increase the power of a design in the presence of missing data, and </LI> <LI>How to identify the most powerful design in the presence of missing data. </LI></UL><p><EM>Points of Reflectio</EM>n encourage readers to stop and test their understanding of the material. <EM>Try Me</EM> sections test one's ability to apply the material. <EM>Troubleshooting Tips</EM> help to prevent commonly encountered problems. Exercises reinforce content and <EM>Additional Readings</EM> provide sources for delving more deeply into selected topics. Numerous examples demonstrate the book's application to a variety of disciplines. Each issue is accompanied by its potential strengths and shortcomings and examples using a variety of software packages (SAS, SPSS, Stata, LISREL, AMOS, and MPlus). Syntax is provided using a single software program to promote continuity but in each case, parallel syntax using the other packages is presented in appendixes. Routines, data sets, syntax files, and links to student versions of software packages are found at www.psypress.com/davey. The worked examples in Part 2 also provide results from a wider set of estimated models. These tables, and accompanying syntax, can be used to estimate statistical power or required sample size for similar problems under a wide range of conditions.</p><p>Class-tested at Temple, Virginia Tech, and Miami University of Ohio, this brief text is an ideal supplement for graduate courses in applied statistics, statistics II, intermediate or advanced statistics, experimental design, structural equation modeling, power analysis, and research methods taught in departments of psychology, human development, education, sociology, nursing, social work, gerontology and other social and health sciences. The book's applied approach will also appeal to researchers in these areas. Sections covering <EM>Fundamentals, Applications</EM>, and <EM>Extensions</EM> are designed to take readers from first steps to mastery.</p>http://www.lybrary.com/statistical-power-analysis-with-missing-data-p-171237.htmlhttp://www.lybrary.com/statistical-power-analysis-with-missing-data-p-171237.htmlSun, 06 May 2012 23:46:24 EDT <p>Statistical power analysis has revolutionized the ways in which we conduct and evaluate research. Similar developments in the statistical analysis of incomplete (missing) data are gaining more widespread applications. This volume brings statistical power and incomplete data together under a common framework, in a way that is readily accessible to those with only an introductory familiarity with structural equation modeling. It answers many practical questions such as:</p><UL><li>How missing data affects the statistical power in a study </LI> <LI>How much power is likely with different amounts and types of missing data </LI> <LI>How to increase the power of a design in the presence of missing data, and </LI> <LI>How to identify the most powerful design in the presence of missing data. </LI></UL><p><EM>Points of Reflectio</EM>n encourage readers to stop and test their understanding of the material. <EM>Try Me</EM> sections test one's ability to apply the material. <EM>Troubleshooting Tips</EM> help to prevent commonly encountered problems. Exercises reinforce content and <EM>Additional Readings</EM> provide sources for delving more deeply into selected topics. Numerous examples demonstrate the book's application to a variety of disciplines. Each issue is accompanied by its potential strengths and shortcomings and examples using a variety of software packages (SAS, SPSS, Stata, LISREL, AMOS, and MPlus). Syntax is provided using a single software program to promote continuity but in each case, parallel syntax using the other packages is presented in appendixes. Routines, data sets, syntax files, and links to student versions of software packages are found at www.psypress.com/davey. The worked examples in Part 2 also provide results from a wider set of estimated models. These tables, and accompanying syntax, can be used to estimate statistical power or required sample size for similar problems under a wide range of conditions.</p><p>Class-tested at Temple, Virginia Tech, and Miami University of Ohio, this brief text is an ideal supplement for graduate courses in applied statistics, statistics II, intermediate or advanced statistics, experimental design, structural equation modeling, power analysis, and research methods taught in departments of psychology, human development, education, sociology, nursing, social work, gerontology and other social and health sciences. The book's applied approach will also appeal to researchers in these areas. Sections covering <EM>Fundamentals, Applications</EM>, and <EM>Extensions</EM> are designed to take readers from first steps to mastery.</p>http://www.lybrary.com/statistical-power-analysis-with-missing-data-p-170858.htmlhttp://www.lybrary.com/statistical-power-analysis-with-missing-data-p-170858.htmlSat, 05 May 2012 19:42:42 EDT