Lybrary.com ebooks
http://www.lybrary.com/index.php?cPath=1167
© 2017 Lybrary.com- The Gallup Poll: Public Opinion 2015<span><span>As the only complete compilation of polls taken by the Gallup Organization, </span><span style="font-style:italic;">The Gallup Poll</span><span> is an invaluable tool for ascertaining the pulse of American public opinion throughout the year and for documenting changing perceptions over time of crucial core issues.<br /><br /></span></span>http://www.lybrary.com/the-gallup-poll-public-opinion-2015-p-890385.htmlhttp://www.lybrary.com/the-gallup-poll-public-opinion-2015-p-890385.htmlSat, 19 Nov 2016 17:02:30 EST
- Statistics in Plain English, Fourth Edition<p>This introductory textbook provides an inexpensive, brief overview of statistics to help readers gain a better understanding of how statistics work and how to interpret them correctly. Each chapter describes a different statistical technique, ranging from basic concepts like central tendency and describing distributions to more advanced concepts such as <I>t</I> tests, regression, repeated measures ANOVA, and factor analysis. Each chapter begins with a short description of the statistic and when it should be used. This is followed by a more in-depth explanation of how the statistic works. Finally, each chapter ends with an example of the statistic in use, and a sample of how the results of analyses using the statistic might be written up for publication. A glossary of statistical terms and symbols is also included. Using the author's own data and examples from published research and the popular media, the book is a straightforward and accessible guide to statistics.</p><p>New features in the fourth edition include:</p><UL><li>sets of work problems in each chapter with detailed solutions and additional problems online to help students test their understanding of the material,</LI><li>new "<I>Worked Examples</I>" to walk students through how to calculate and interpret the statistics featured in each chapter,</LI><li>new examples from the author's own data and from published research and the popular media to help students see how statistics are applied and written about in professional publications,</LI><li>many more examples, tables, and charts to help students visualize key concepts, clarify concepts, and demonstrate how the statistics are used in the real world.</LI><li>a more logical flow, with correlation directly preceding regression, and a combined glossary appearing at the end of the book,</LI><li>a Quick Guide to Statistics, Formulas, and Degrees of Freedom at the start of the book, plainly outlining each statistic and when students should use them,</LI><li>greater emphasis on (and description of) effect size and confidence interval reporting, reflecting their growing importance in research across the social science disciplines</LI><li>an expanded website at <U>www.routledge.com/cw/urdan</U> with PowerPoint presentations, chapter summaries, a new test bank, interactive problems and detailed solutions to the text's work problems, SPSS datasets for practice, links to useful tools and resources, and videos showing how to calculate statistics, how to calculate and interpret the appendices, and how to understand some of the more confusing tables of output produced by SPSS.</LI></UL><I><p>Statistics in Plain English, Fourth Edition</I> is an ideal guide for statistics, research methods, and/or for courses that use statistics taught at the undergraduate or graduate level, or as a reference tool for anyone interested in refreshing their memory about key statistical concepts. The research examples are from psychology, education, and other social and behavioral sciences.</p>http://www.lybrary.com/statistics-in-plain-english-fourth-edition-p-879774.htmlhttp://www.lybrary.com/statistics-in-plain-english-fourth-edition-p-879774.htmlFri, 14 Oct 2016 19:02:17 EDT
- What the Luck? The Surprising Role of Chance in Our Everyday Lives<p>The newest book by the acclaimed author of Standard Deviations takes on luck, and all the mischief the idea of luck can cause in our lives.</p><p>In Israel, pilot trainees who were praised for doing well subsequently performed worse, while trainees who were yelled at for doing poorly performed better. It is an empirical fact that highly intelligent women tend to marry men who are less intelligent. Students who get the highest scores in third grade generally get lower scores in fourth grade.</p><p>And yet, it's wrong to conclude that screaming is not more effective in pilot training, women choose men whose intelligence does not intimidate them, or schools are failing third graders. In fact, there's one reason for each of these empirical facts: Statistics. Specifically, a statical concept called Regression to the Mean.</p><p>Regression to the mean seeks to explain, with statistics, the role of luck in our day to day lives. An insufficient appreciation of luck and chance can wreak all kinds of mischief in sports, education, medicine, business, politics, and more. It can lead us to see illness when we are not sick and to see cures when treatments are worthless. Perfectly natural random variation can lead us to attach meaning to the meaningless.</p><i>Freakonomics</i> showed how economic calculations can explain seemingly counterintuitive decision-making. <i>Thinking, Fast and Slow</i>, helped readers identify a host of small cognitive errors that can lead to miscalculations and irrational thought. In <i>What the Luck?</i>, statistician and author Gary Smith sets himself a similar goal, and explains--in clear, understandable, and witty prose--how a statistical understanding of luck can change the way we see just about every aspect of our lives...and can help us learn to rely less on random chance, and more on truth.http://www.lybrary.com/what-the-luck-the-surprising-role-of-chance-in-our-everyday-lives-p-874540.htmlhttp://www.lybrary.com/what-the-luck-the-surprising-role-of-chance-in-our-everyday-lives-p-874540.htmlSat, 01 Oct 2016 03:32:12 EDT
- Regression Models for Categorical, Count, and Related Variables: An Applied ApproachSocial science and behavioral science students and researchers are often confronted with data that are categorical, count a phenomenon, or have been collected over time. Sociologists examining the likelihood of interracial marriage, political scientists studying voting behavior, criminologists counting the number of offenses people commit, health scientists studying the number of suicides across neighborhoods, and psychologists modeling mental health treatment success are all interested in outcomes that are not continuous. Instead, they must measure and analyze these events and phenomena in a discrete manner.<BR /> <BR /> This book provides an introduction and overview of several statistical models designed for these types of outcomeshttp://www.lybrary.com/regression-models-for-categorical-count-and-related-variables-an-applied-approach-p-860368.htmlhttp://www.lybrary.com/regression-models-for-categorical-count-and-related-variables-an-applied-approach-p-860368.htmlSun, 28 Aug 2016 12:32:18 EDT
- From Numbers to Words: Reporting Statistical Results for the Social SciencesThis invaluable resource guides readers through the process of creating scholarly, publishable prose from the results of quantitative experiments and investigations. It delves into the issues commonly encountered when reporting the results of statistical experiments and investigations, and provides instruction re the representation of these results in text and visual formats. This unique research companion serves as a must-have reference for advanced students doing quantitative research and working with statistics, with the goal of writing up and publishing their findings; it also serves as a useful refresher for experienced researchers. http://www.lybrary.com/from-numbers-to-words-reporting-statistical-results-for-the-social-sciences-p-858185.htmlhttp://www.lybrary.com/from-numbers-to-words-reporting-statistical-results-for-the-social-sciences-p-858185.htmlTue, 23 Aug 2016 15:02:06 EDT
- A Field Guide to Lies: Critical Thinking in the Information Age<b>From <i>The</i> <i>New York Times </i>bestselling author of THE ORGANIZED MIND and THIS IS YOUR BRAIN ON MUSIC, a primer to the critical thinking that is more necessary now than ever.<p></b>We are bombarded with more information each day than our brains can processhttp://www.lybrary.com/a-field-guide-to-lies-critical-thinking-in-the-information-age-p-857795.htmlhttp://www.lybrary.com/a-field-guide-to-lies-critical-thinking-in-the-information-age-p-857795.htmlSun, 21 Aug 2016 21:01:11 EDT
- Survey Scales: A Guide to Development, Analysis, and ReportingSynthesizing the literature from the survey and measurement fields, this book explains how to develop closed-response survey scales that will accurately capture such constructs as attitudes, beliefs, or behaviors. It provides guidelines to help applied researchers or graduate students review existing scales for possible adoption or adaptation in a study; create their own conceptual framework for a scale; write checklists, true-false variations, and Likert-style items; design response scales; examine validity and reliability; conduct a factor analysis; and document the instrument development and its technical quality. Advice is given on constructing tables and graphs to report survey scale results. Concepts and procedures are illustrated with "Not This/But This" examples from multiple disciplines.<p>Pedagogical Features:<BR> *End-of-chapter exercises with sample solutions, plus annotated suggestions for further reading.<BR> *"Not This/But This" examples of poorly written and strong survey items.<BR> *Chapter-opening overviews and within-chapter summaries.<BR> *Glossary of key concepts.<BR> *Appendix with examples of parametric and nonparametric procedures for group comparisons.<BR>http://www.lybrary.com/survey-scales-a-guide-to-development-analysis-and-reporting-p-852521.htmlhttp://www.lybrary.com/survey-scales-a-guide-to-development-analysis-and-reporting-p-852521.htmlWed, 06 Jul 2016 04:02:09 EDT
- Crime in the United States 2016http://www.lybrary.com/crime-in-the-united-states-2016-p-849055.htmlhttp://www.lybrary.com/crime-in-the-united-states-2016-p-849055.htmlFri, 17 Jun 2016 11:02:10 EDT
- Taking Stock: Cultures of Enumeration in Contemporary Jewish LifeTaking Stock is a collection of lively, original essays that explore the cultures of enumeration that permeate contemporary and modern Jewish life. Speaking to the profound cultural investment in quantified forms of knowledge and representation-whether discussing the Holocaust or counting the numbers of Israeli and American Jews-these essays reveal a social life of Jewish numbers. As they trace the uses of numerical frameworks, they portray how Jews define, negotiate, and enact matters of Jewish collectivity. The contributors offer productive perspectives into ubiquitous yet often overlooked aspects of the modern Jewish experience.http://www.lybrary.com/taking-stock-cultures-of-enumeration-in-contemporary-jewish-life-p-848738.htmlhttp://www.lybrary.com/taking-stock-cultures-of-enumeration-in-contemporary-jewish-life-p-848738.htmlThu, 16 Jun 2016 07:02:21 EDT
- Structural Equation Modeling With AMOS: Basic Concepts, Applications, and Programming, Third Editionhttp://www.lybrary.com/structural-equation-modeling-with-amos-basic-concepts-applications-and-programming-third-edition-p-847841.htmlhttp://www.lybrary.com/structural-equation-modeling-with-amos-basic-concepts-applications-and-programming-third-edition-p-847841.htmlSat, 11 Jun 2016 09:02:13 EDT
- Applied Psychometrics using SPSS and AMOSThe book will be designed primarily for graduate students (or advanced undergraduates) who are learning psychometrics, as well as professionals in the field who need a reference for use in their practice. We would assume that users have some basic knowledge of using SPSS to read data and conduct basic analyses (e.g., descriptive statistics, frequency distributions). In addition, the reader should be familiar with basic statistical concepts such as descriptive statistics (e.g., mean, median, variance, standard deviation), percentiles and the rudiments of hypothesis testing. They should also have a passing familiarity with issues in psychometrics such as reliability, validity and test/survey scoring. We will not assume any more than basic familiarity with these issues, and will devote a portion of each chapter (as well as the entire first chapter) to reviewing many of these basic ideas for those not familiar with them. We envision the book as being useful either as a primary text for a course on applied measurement where SPSS is the main platform for instruction, or as a supplement to a more theoretical text. We also anticipate that readers working in government agencies responsible for testing and measurement issues at the local, state and national levels, and private testing, survey and market research companies, as well as faculty members needing a practical resource for psychometric practice will serve as a market for the book. In short, the readership would include graduate students, faculty members, data analysts and psychometricians responsible for analysis of survey response data, as well as educational and psychological assessments. The goal of the book is to provide readers with the tools necessary for assessing the psychometric qualities of educational and psychological measures as well as surveys and questionnaires. Each chapter will cover an issue pertinent to psychometric and measurement practice, with an emphasis on application. Topics will be briefly discussed from a theoretical/technical perspective in order to provide the reader with the background necessary to correctly use and interpret the statistical analyses that will be presented subsequently. Readers will then be presented with examples illustrating a particular concept (e.g., reliability). These examples will include a discussion of the particular analysis, along with the SPSS code necessary to conduct them. The resulting output will then be discussed in detail, focusing on the interpretation of the results. Finally, examples of how these results might be written up will also be included in the text. It is hoped that this mixture of theory with examples of actual practice will serve the reader both as a pedagogical tool and as a reference work. To our knowledge, no book outlining psychometric practice using commonly available software such as SPSS currently exists. Given that many practitioners in academia, government and private industry use SPSS for statistical analyses of testing data, we believe that our book will fill an important niche in the market. It will contain very practical information regarding how to conduct a wide variety of psychometric analyses, along with tips on interpretation of results and the appropriate format for reporting these results. We believe that it will prove useful to individuals in educational measurement, psychometrics, and survey and market research. Our text will add to the literature by providing users with a single reference containing the major ideas in applied psychometrics with instructions and examples for conducting the analyses in SPSS. In addition, we will provide original macros for estimating a variety of statistics and conducting analyses common in educational and psychological measurement.http://www.lybrary.com/applied-psychometrics-using-spss-and-amos-p-844811.htmlhttp://www.lybrary.com/applied-psychometrics-using-spss-and-amos-p-844811.htmlTue, 31 May 2016 22:02:16 EDT
- Statistical Methods in Longitudinal Research: Time Series and Categorical Longitudinal DataThese edited volumes present new statistical methods in a way that bridges the gap between theoretical and applied statistics. The volumes cover general problems and issues and more specific topics concerning the structuring of change, the analysis of time series, and the analysis of categorical longitudinal data. The book targets students of development and change in a variety of fields - psychology, sociology, anthropology, education, medicine, psychiatry, economics, behavioural sciences, developmental psychology, ecology, plant physiology, and biometry - with basic training in statistics and computing.http://www.lybrary.com/statistical-methods-in-longitudinal-research-time-series-and-categorical-longitudinal-data-p-812166.htmlhttp://www.lybrary.com/statistical-methods-in-longitudinal-research-time-series-and-categorical-longitudinal-data-p-812166.htmlMon, 01 Feb 2016 20:01:00 EST
- Statistical Methods in Longitudinal Research: Principles and Structuring ChangeThese edited volumes present new statistical methods in a way that bridges the gap between theoretical and applied statistics. The volumes cover general problems and issues and more specific topics concerning the structuring of change, the analysis of time series, and the analysis of categorical longitudinal data. The book targets students of development and change in a variety of fields - psychology, sociology, anthropology, education, medicine, psychiatry, economics, behavioural sciences, developmental psychology, ecology, plant physiology, and biometry - with basic training in statistics and computing.http://www.lybrary.com/statistical-methods-in-longitudinal-research-principles-and-structuring-change-p-812165.htmlhttp://www.lybrary.com/statistical-methods-in-longitudinal-research-principles-and-structuring-change-p-812165.htmlMon, 01 Feb 2016 20:00:58 EST
- Schaum's Outline of Elements of Statistics II: Inferential Statistics<p>Picking up where <i>Elements of Statistics I</i> leaves off, this study guide clearly explains discrete probability distribution, including normal, continuing, sampling, and other distributions. The practical, cross-referenced problems throughout are drawn from such fields as anthropology, biology, business, government, medecine, psychology and sociology, and the solutions are fully explained. A perfect supplement to the leading textbooks, students will also find this book ideal for independent study. Supplementary questions aid self-testing.</p>http://www.lybrary.com/schaums-outline-of-elements-of-statistics-ii-inferential-statistics-p-797067.htmlhttp://www.lybrary.com/schaums-outline-of-elements-of-statistics-ii-inferential-statistics-p-797067.htmlWed, 02 Dec 2015 21:30:58 EST
- Statistical Misconceptions: Classic Edition<p>This engaging book helps readers identify and then discard 52 misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate courses in statistics, research methods, or quantitative analysis. Interactive Internet exercises that further promote undoing the misconceptions are found on the book's website.</p><p>The author's accessible discussion of each misconception has five parts:</p><I><p>The Misconception</I> - a brief description of the misunderstanding</p><I><p>Evidence that the Misconception Exists</I> - examples and claimed prevalence</p><I><p>Why the Misconception is Dangerous</I> - consequence of having the misunderstanding</p><I><p>Undoing the Misconception</I> - how to think correctly about the concept</p><I><p>Internet Assignment</I> - an interactive activity to help readers gain a firm grasp of the statistical concept and overcome the misconception.</p><p>The book's statistical misconceptions are grouped into 12 chapters that match the topics typically taught in introductory/intermediate courses. However, each of the 52 discussions is self-contained, thus allowing the misconceptions to be covered in any order without confusing the reader. Organized and presented in this manner, the book is an ideal supplement for any standard textbook.</p><B></B><p>An ideal supplement for undergraduate and graduate courses in statistics, research methods, or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences. The book also appeals to independent researchers interested in undoing their statistical misconceptions.</p>http://www.lybrary.com/statistical-misconceptions-classic-edition-p-792690.htmlhttp://www.lybrary.com/statistical-misconceptions-classic-edition-p-792690.htmlSat, 21 Nov 2015 15:01:49 EST
- The Gallup Poll: Public Opinion 2014<span><span>As the only complete compilation of polls taken by the Gallup Organization, </span><span style="font-style:italic;">The Gallup Poll</span><span> is an invaluable tool for ascertaining the pulse of American public opinion throughout the year and for documenting changing perceptions over time of crucial core issues.<br /><br /></span></span>http://www.lybrary.com/the-gallup-poll-public-opinion-2014-p-789078.htmlhttp://www.lybrary.com/the-gallup-poll-public-opinion-2014-p-789078.htmlThu, 12 Nov 2015 23:31:57 EST
- Veterans in the United States: Statistics and Resources<span><span style="font-style:italic;">Veterans in the United States: Statistics and Resources</span><span> presents the most pertinent and compelling statistics in one easy-to-follow, useful, and informative volume. Data related to veterans is scattered between federal departments. This volume??s mission is to present the most pertinent and compelling statistics in one easy-to-follow, useful, and informative volume. </span></span>http://www.lybrary.com/veterans-in-the-united-states-statistics-and-resources-p-789070.htmlhttp://www.lybrary.com/veterans-in-the-united-states-statistics-and-resources-p-789070.htmlThu, 12 Nov 2015 23:01:59 EST
- Justice Statistics: An Extended Look at Crime in the United States<span><span>An exciting, new special edition of </span><span style="font-style:italic;">Crime in the United States</span><span>, </span><span style="font-style:italic;">Justice Statistics:</span><span style="font-style:italic;">An Extended Look at Crime in the United States</span><span> provides an extended look at the crimes covered and reported by the Federal Bureau of Investigation (FBI). </span></span>http://www.lybrary.com/justice-statistics-an-extended-look-at-crime-in-the-united-states-p-787065.htmlhttp://www.lybrary.com/justice-statistics-an-extended-look-at-crime-in-the-united-states-p-787065.htmlSun, 08 Nov 2015 06:31:56 EST
- IBM SPSS for Introductory Statistics: Use and Interpretation, Fifth Edition<p>Designed to help students analyze and interpret research data using IBM SPSS, this user-friendly book, written in easy-to-understand language, shows readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately. The authors prepare readers for all of the steps in the research process: design, entering and checking data, testing assumptions, assessing reliability and validity, computing descriptive and inferential parametric and nonparametric statistics, and writing about outputs. Dialog windows and SPSS syntax, along with the output, are provided. Three realistic data sets, available on the Internet, are used to solve the chapter problems.</p><B><p>The new edition features:</p><UL></B><li>Updated to IBM SPSS version 20 but the book can also be used with older and newer versions of SPSS. </LI> <LI>A new chapter (7) including an introduction to Cronbach's alpha and factor analysis.</LI> <LI>Updated Web Resources with PowerPoint slides, additional activities/suggestions, and the answers to even-numbered interpretation questions for the instructors, and chapter study guides and outlines and extra SPSS problems for the students. The web resource is located www.routledge.com/9781848729827 .</LI> <LI>Students, instructors, and individual purchasers can access the data files to accompany the book at www.routledge.com/9781848729827 .</LI></UL><B><I><p>IBM SPSS for Introductory Statistics, Fifth Edition</I> provides helpful teaching tools:</p><UL></B><li>All of the key IBM SPSS windows needed to perform the analyses.</LI> <LI>Complete outputs with call-out boxes to highlight key points.</LI> <LI>Flowcharts and tables to help select appropriate statistics and interpret effect sizes.</LI> <LI>Interpretation sections and questions help students better understand and interpret the output. </LI> <LI>Assignments organized the way students proceed when they conduct a research project.</LI> <LI>Examples of how to write about outputs and make tables in APA format.</LI> <LI>Helpful appendices on how to get started with SPSS and write research questions.<STRIKE> </LI></UL></STRIKE><p>An ideal supplement for courses in either statistics, research methods, or any course in which SPSS is used, such as in departments of psychology, education, and other social and health sciences. This book is also appreciated by researchers interested in using SPSS for their data analysis.</p>http://www.lybrary.com/ibm-spss-for-introductory-statistics-use-and-interpretation-fifth-edition-p-786100.htmlhttp://www.lybrary.com/ibm-spss-for-introductory-statistics-use-and-interpretation-fifth-edition-p-786100.htmlThu, 05 Nov 2015 23:32:03 EST
- Latent Variable Modeling with RThis book demonstrates how to conduct latent variable modeling (LVM) in R by highlighting the features of each model, their specialized uses, examples, sample code and output, and an interpretation of the results. Each chapter features a detailed example including the analysis of the data using R, the relevant theory, the assumptions underlying the model, and other statistical details to help readers better understand the models and interpret the results. Every R command necessary for conducting the analyses is described along with the resulting output which provides readers with a template to follow when they apply the methods to their own data. The basic information pertinent to each model, the newest developments in these areas, and the relevant R code to use them are reviewed. Each chapter also features an introduction, summary, and suggested readings. A glossary of the text's boldfaced key terms and key R commands serve as helpful resources. The book is accompanied by a website with exercises, an answer key, and the in-text example data sets. Latent Variable Modeling with R: -Provides some examples that use messy data providing a more realistic situation readers will encounter with their own data. -Reviews a wide range of LVMs including factor analysis, structural equation modeling, item response theory, and mixture models and advanced topics such as fitting nonlinear structural equation models, nonparametric item response theory models, and mixture regression models. -Demonstrates how data simulation can help researchers better understand statistical methods and assist in selecting the necessary sample size prior to collecting data. -www.routledge.com/9780415832458 provides exercises that apply the models along with annotated R output answer keys and the data that corresponds to the in-text examples so readers can replicate the results and check their work. The book opens with basic instructions in how to use R to read data, download functions, and conduct basic analyses. From there, each chapter is dedicated to a different latent variable model including exploratory and confirmatory factor analysis (CFA), structural equation modeling (SEM), multiple groups CFA/SEM, least squares estimation, growth curve models, mixture models, item response theory (both dichotomous and polytomous items), differential item functioning (DIF), and correspondance analysis. ?The book concludes with a discussion of how data simulation can be used to better understand the workings of a statistical method and assist researchers in deciding on the necessary sample size prior to collecting data.? A mixture of independently developed R code along with available libraries for simulating latent models in R are provided so readers can use these simulations to analyze data using the methods introduced in the previous chapters. Intended for use in graduate or advanced undergraduate courses in latent variable modeling, factor analysis, structural equation modeling, item response theory, measurement, or multivariate statistics taught in psychology, education, human development, and social and health sciences, researchers in these fields also appreciate this book's practical approach. The book provides sufficient conceptual background information to serve as a standalone text.? Familiarity with basic statistical concepts is assumed but basic knowledge of R ihttp://www.lybrary.com/latent-variable-modeling-with-r-p-755118.htmlhttp://www.lybrary.com/latent-variable-modeling-with-r-p-755118.htmlThu, 27 Aug 2015 14:02:24 EDT