Statistical Methods for the Social Sciences

Author: Alan Agresti

Publisher: N.A

ISBN: 9780135265260

Category: Social Science

Page: 706

View: 3119

Assuming no prior knowledge of statistics, these authors combine their varied backgrounds—one a statistician, the other a social scientist—to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. KEY TOPICS: The Third Edition has been both updated and improved to integrate real-world data into examples and exercises, and make coverage more accessible throughout.

Applied Multivariate Statistics for the Social Sciences, Fifth Edition

Author: James P. Stevens

Publisher: Routledge

ISBN: 1136910697

Category: Education

Page: 664

View: 5261

This best-selling text is written for those who use, rather than develop statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving results. Helpful narrative and numerous examples enhance understanding and a chapter on matrix algebra serves as a review. Annotated printouts from SPSS and SAS indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use these packages, the author stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size by providing guidelines so that the results can be generalized. The book is noted for its extensive applied coverage of MANOVA, its emphasis on statistical power, and numerous exercises including answers to half. The new edition features: New chapters on Hierarchical Linear Modeling (Ch. 15) and Structural Equation Modeling (Ch. 16) New exercises that feature recent journal articles to demonstrate the actual use of multiple regression (Ch. 3), MANOVA (Ch. 5), and repeated measures (Ch. 13) A new appendix on the analysis of correlated observations (Ch. 6) Expanded discussions on obtaining non-orthogonal contrasts in repeated measures designs with SPSS and how to make the identification of cell ID easier in log linear analysis in 4 or 5 way designs Updated versions of SPSS (15.0) and SAS (8.0) are used throughout the text and introduced in chapter 1 A book website with data sets and more. Ideal for courses on multivariate statistics found in psychology, education, sociology, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial ANOVA and covariance. Working knowledge of matrix algebra is not assumed.

Public Program Evaluation

A Statistical Guide

Author: Laura Langbein

Publisher: Routledge

ISBN: 1317461622

Category: Philosophy

Page: 264

View: 9851

This readable and comprehensive text is designed to equip students and practitioners with the statistical skills needed to meet government standards regarding public program evaluation. Even those with little statistical training will find the explanations clear, with many illustrative examples, case studies, and applications. Far more than a cookbook of statistical techniques, the book begins with chapters on the overall context for successful program evaluations, and carefully explains statistical methods--and threats to internal and statistical validity--that correspond to each evaluation design. Laura Langbein then presents a variety of methods for program analysis, and advise readers on how to select the mix of methods most appropriate for the issues they deal with-- always balancing methodology with the need for generality, the size of the evaluator's budget, the availability of data, and the need for quick results.


Models, Methods and Applications

Author: Ludwig Fahrmeir,Thomas Kneib,Stefan Lang,Brian Marx

Publisher: Springer Science & Business Media

ISBN: 3642343333

Category: Business & Economics

Page: 698

View: 4483

The aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown through many real data examples and case studies. Availability of (user-friendly) software has been a major criterion for the methods selected and presented. Thus, the book primarily targets an audience that includes students, teachers and practitioners in social, economic, and life sciences, as well as students and teachers in statistics programs, and mathematicians and computer scientists with interests in statistical modeling and data analysis. It is written on an intermediate mathematical level and assumes only knowledge of basic probability, calculus, and statistics. The most important definitions and statements are concisely summarized in boxes. Two appendices describe required matrix algebra, as well as elements of probability calculus and statistical inference.

Basic Statistics in Multivariate Analysis

Author: Karen A. Randolph,Laura L. Myers

Publisher: Oxford University Press

ISBN: 0199982147

Category: Social Science

Page: 256

View: 585

The complexity of social problems necessitates that social work researchers understand and apply multivariate statistical methods in their investigations. In this pocket guide, the authors introduce readers to three of the more frequently used multivariate methods in social work research with an emphasis on basic statistics. The primary aim is to prepare entry-level doctoral students and early career social work researchers in the use of multivariate methods by providing an easy-to-understand presentation, building on the basic statistics that inform them. The pocket guide begins with a review of basic statistics, hypothesis testing with inferential statistics, and bivariate analytic methods. Subsequent sections describe bivariate and multiple linear regression analyses, one-way and two-way analysis of variance (ANOVA) and covariance (ANCOVA), and path analysis. In each chapter, the authors introduce the various basic statistical procedures by providing definitions, formulas, descriptions of the underlying logic and assumptions of each procedure, and examples of how they have been used in social work research literature, particularly with diverse populations. They also explain estimation procedures and how to interpret results. The multivariate chapters conclude with brief step-by-step instructions for conducting multiple regression analysis and one-way ANOVA in Statistical Package for the Social Sciences (SPSS), and path analysis in Amos, using data from the National Educational Longitudinal Study of 1988 (NELS: 88). As an additional supplement, the book offers a companion website that provides more detailed instructions, as well as data sets and worked examples.

Statistics for the Behavioral and Social Sciences

A Brief Course

Author: Arthur Aron,Elaine Aron,Elliot J. Coups

Publisher: Prentice Hall


Category: Social Science

Page: 477

View: 8597

For one-quarter/semester courses that focus on the basics or combine statistics with research methods. By using definitional formulas to emphasize the concepts of statistics, rather than rote memorization, students work problems in a way that keeps them constantly aware of the underlying logic of what they are doing. Here, in the fourth edition ofStatistics for the Behavioral and Social Sciences, the authors have refined their text by building off an already well-established approach - emphasizing the intuitive, deemphasizing the mathematical, and explaining everything in direct, simple language - but also going beyond these principles to both further student understanding and stimulate the long-suffering community of statistics instructors. By using definitional formulas to emphasize the concepts of statistics, rather than rote memorization, students work problems in a way that keeps them constantly aware of the underlying logic of what they are doing.

Statistik für Dummies

Author: Deborah Rumsey

Publisher: John Wiley & Sons

ISBN: 3527705945

Category: Mathematics

Page: 352

View: 9289

Entdecken Sie mit "Statistik für Dummies" Ihren Spaß an der Statistik und werfen Sie einen Blick hinter die Kulissen der so beliebten Manipulation von Zahlenmaterial! Deborah Rumsey zeigt Ihnen das nötige statistische Handwerkszeug wie Stichprobe, Wahrscheinlichkeit, Bias, Median, Durchschnitt und Korrelation. Sie lernen die verschiedenen grafischen Darstellungsmöglichkeiten von statistischem Material kennen und werden über die unterschiedlichen Methoden der Auswertung erstaunt sein. Schärfen Sie mit diesem Buch Ihr Bewusstsein für Zahlen und deren Interpretation, so dass Ihnen keiner mehr etwas vormachen kann!


The Art and Science of Learning from Data

Author: Alan Agresti,Christine A. Franklin

Publisher: Pearson College Division

ISBN: 9780321755940

Category: Mathematics

Page: 832

View: 666

Alan Agresti and Chris Franklin have merged their research and classroom experience to develop this successful introductory statistics text. Statistics: The Art and Science of Learning from Data, Third Edition, helps students become statistically literate by encouraging them to ask and answer interesting statistical questions. It takes the ideas that have turned statistics into a central science in modern life and makes them accessible and engaging to students without compromising necessary rigor. The Third Edition has been edited for conciseness and clarity to keep students focused on the main concepts. The data-rich examples that feature intriguing human-interest topics now include topic labels to indicate which statistical topic is being applied. New learning objectives for each chapter appear in the Instructor's Edition, making it easier to plan lectures and Chapter 7 (Sampling Distributions) now incorporates simulations in addition to the mathematical formulas.


Der Kampf der Wirtschaftskulturen

Author: Markus K. Brunnermeier,Harold James,Jean-Pierre Landau

Publisher: C.H.Beck

ISBN: 3406712347

Category: Business & Economics

Page: 525

View: 7493

Etliche Beobachter sind der Ansicht, dass der Euro die aktuelle Krise nicht überleben wird. Anders die Ökonomen Markus Brunnermeier und Jean-Pierre Landau, ein Deutscher und ein Franzose, sowie der britische Wirtschaftshistoriker Harold James. Sie sehen ein Kernproblem des Euro in den unterschiedlichen Wirtschaftskulturen der Euroländer, insbesondere Deutschlands und Frankreichs, die es zu überwinden gilt. Seit der Eurokrise setzen die Mitgliedsländer wieder auf nationale Lösungen, statt gemeinsame Antworten auf die europäischen Probleme zu suchen. Der Kampf der Wirtschaftskulturen ist entbrannt. Während das föderal geprägte Deutschland in der Fiskalpolitik auf starren Regeln beharrt, verlangt das zentralistische Frankreich Stimulusprogramme und eine flexible Handhabung, die den Regierungen Ermessensspielräume lässt. Für die Deutschen sind Finanzierungsengpässe vorwiegend auf Insolvenzprobleme zurückzuführen, die struktureller Reformen bedürfen, wogegen die Franzosen sie als temporäre Liquiditätsprobleme ansehen, die mit einer staatlichen Überbrückungsfinanzierung zu bewältigen sind. Dieses Buch plädiert für die Überwindung dieser Frontstellungen zugunsten einer gemeinsamen europäischen Wirtschaftskultur. Es verbindet ökonomische Analyse und ideengeschichtliche Reflexion und entwirft einen Fahrplan für Europas Zukunft.

Research Methods for Massage and Holistic Therapies - E-Book

Author: Glenn Hymel

Publisher: Elsevier Health Sciences

ISBN: 0323070493

Category: Medical

Page: 360

View: 4419

This comprehensive resource covers a broad array of research strategies available to massage therapists to give them the tools they need to be knowledgeable readers of research literature, as well as active researchers. The primary focus of the book is on the quantitative aspect of research that encompasses the principal types of studies most extensively used in the various health care professions, specifically massage therapy. Extensive coverage is also given to the qualitative and integrative research categories that are progressively gaining recognition among researchers in various health science disciplines and professions. Accommodates the March 2003 mandate from the Commission on Massage Therapy Accreditation (COMTA) that massage therapy schools incorporate into their curricula provisions to ensure a research literate profession. Examples and techniques for interpreting research guide practitioners and students to be knowledgeable readers of massage therapy research, allowing application to practice. Relies heavily on concept maps, flowcharts, tables, and illustrations and excerpts of published studies to augment the book's narrative development of topics by providing pictorial displays and summaries of the material. Literature-based and hypothetical research examples/illustrations from several manual therapy professions employing therapeutic massage make the material pertinent to real-life settings An introductory section at the beginning of each chapter reviews the material covered in the previous chapter and how it relates to the new material. Chapter coverage spans the quantitative, qualitative, and integrative research categories and affiliated research strategies and methods are considered in detail. Review/summary tables give an overview of the narrative development of topics. Boxes provide the essential features of a given topic. Relies on multiple examples of possible research scenarios and illustrative excerpts from the published research literature. Content is cross-referenced for use with the Massage Therapy Foundation's Massage Therapy Research Curriculum Kit to provide both instructors and students in the 6-, 15-, and 24-hour options/levels an extensively-developed resource in one place. Each chapter includes recommended web sites and software application packages for further information.

Applied Statistics: From Bivariate Through Multivariate Techniques

From Bivariate Through Multivariate Techniques

Author: Rebecca M. Warner

Publisher: SAGE

ISBN: 141299134X

Category: Mathematics

Page: 1172

View: 4962

Rebecca M. Warner's Applied Statistics: From Bivariate Through Multivariate Techniques, Second Edition provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. The approach is applied and does not require formal mathematics; equations are accompanied by verbal explanations. Students are asked to think about the meaning of equations. Each chapter presents a complete empirical research example to illustrate the application of a specific method. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.

Applied Mathematics for Business, Economics, and the Social Sciences

Author: Frank S. Budnick

Publisher: McGraw-Hill College


Category: Mathematics

Page: 993

View: 1450

Offering comprehensive treatment of selected topics in finite mathematics and calculus, the fourth edition of this text provides an informal, non-intimidating presentation of the mathematical principles, techniques, and applications most useful to students in business, economics, and the life and social sciences. Oriented towards the needs of the student, the text retains such pedagogical features as Algebra Flashbacks, Notes to the Student, Points for Thought or Discussion, and an extensive array of problems and applications to support the learning process.

Ökonometrie für Dummies

Author: Roberto Pedace

Publisher: John Wiley & Sons

ISBN: 3527801529

Category: Business & Economics

Page: 388

View: 3294

Theorien verstehen und Techniken anwenden Was haben die Gehälter von Spitzensportlern und der Mindestlohn gemeinsam? Richtig, man kann sie mit Ökonometrie erforschen. Im Buch steht, wie es geht. Und nicht nur dafür, sondern für viele weitere Gebiete lohnt es sich, der zunächst etwas trocken und sperrig anmutenden Materie eine Chance zu geben. Lernen Sie von den Autoren, wie Sie spannende Fragen formulieren, passende Variablen festlegen, treffsichere Modelle entwerfen und Ihre Aussagen auf Herz und Nieren prüfen. Werden Sie sicher im Umgang mit Hypothesentests, Regressionsmodellen, Logit- & Probit-Modellen und allen weiteren gängigen Methoden der Ökonometrie. So begleitet Ökonometrie für Dummies Sie Schritt für Schritt und mit vielen Beispielen samt R Output durch dieses spannende Thema.

Dictionary of Statistics & Methodology

A Nontechnical Guide for the Social Sciences

Author: W. Paul Vogt,R. Burke Johnson

Publisher: SAGE

ISBN: 1412971098

Category: Reference

Page: 437

View: 1513

Written in a clear, readable style with a wide range of explanations and examples, the Fourth Edition of this must-have reference guide has been updated throughout to reflect recent changes in the fields of statistics and methodology. Packed with new terms, synonyms, and graphics, this best-selling dictionary provides readers with everything they need to read and understand a research report, including elementary terms and concepts and methodology and design definitions, as well as concepts from qualitative research methods and terms from theory and philosophy.

Statistical Methods for Survival Data Analysis

Author: Elisa T. Lee,John Wenyu Wang

Publisher: John Wiley & Sons

ISBN: 1118593057

Category: Mathematics

Page: 512

View: 9908

Praise for the Third Edition “. . . an easy-to read introduction to survival analysiswhich covers the major concepts and techniques of thesubject.” —Statistics in Medical Research Updated and expanded to reflect the latest developments,Statistical Methods for Survival Data Analysis, FourthEdition continues to deliver a comprehensive introduction tothe most commonly-used methods for analyzing survival data.Authored by a uniquely well-qualified author team, the FourthEdition is a critically acclaimed guide to statistical methods withapplications in clinical trials, epidemiology, areas of business,and the social sciences. The book features many real-world examplesto illustrate applications within these various fields, althoughspecial consideration is given to the study of survival data inbiomedical sciences. Emphasizing the latest research and providing the mostup-to-date information regarding software applications in thefield, Statistical Methods for Survival Data Analysis, FourthEdition also includes: Marginal and random effect models for analyzing correlatedcensored or uncensored data Multiple types of two-sample and K-sample comparisonanalysis Updated treatment of parametric methods for regression modelfitting with a new focus on accelerated failure time models Expanded coverage of the Cox proportional hazards model Exercises at the end of each chapter to deepen knowledge of thepresented material Statistical Methods for Survival Data Analysis is anideal text for upper-undergraduate and graduate-level courses onsurvival data analysis. The book is also an excellent resource forbiomedical investigators, statisticians, and epidemiologists, aswell as researchers in every field in which the analysis ofsurvival data plays a role.

The Handbook of Social Work Research Methods

Author: Bruce Thyer

Publisher: SAGE

ISBN: 1452278881

Category: Social Science

Page: 672

View: 8146

Click on the Supplements tab above for further details on the different versions of SPSS programs. The canonical Handbook is completely updated with more student-friendly features The Handbook of Social Work Research Methods is a cutting-edge volume that covers all the major topics that are relevant for Social Work Research methods. Edited by Bruce Thyer and containing contributions by leading authorities, this Handbook covers both qualitative and quantitative approaches as well as a section that delves into more general issues such as evidence based practice, ethics, gender, ethnicity, International Issues, integrating both approaches, and applying for grants. New to this Edition More content on qualitative methods and mixed methods More coverage of evidence-based practice More support to help students effectively use the Internet A companion Web site at containing a test bank and PowerPoint slides for instructors and relevant SAGE journal articles for students. This Handbook serves as a primary text in the methods courses in MSW programs and doctoral level programs. It can also be used as a reference and research design tool for anyone doing scholarly research in social work or human services.

Statistical Methods for Geography

A Student’s Guide

Author: Peter A Rogerson

Publisher: SAGE

ISBN: 1473911109

Category: Social Science

Page: 424

View: 1106

How do beginning students of statistics for geography learn to fully understand the key concepts and apply the principal techniques? This text, now in its Fourth Edition, provides exactly that resource. Accessibly written, and focussed on student learning, it’s a statistics 101 that includes definitions, examples, and exercise throughout. Now fully integrated with online self-assessment exercises and video navigation, it explains everything required to get full credits for any undergraduate statistics module: Descriptive statistics, probability, inferential statistics, hypothesis testing and sampling, variance, correlation, regression analysis, spatial patterns, spatial data reduction using factor analysis and cluster analysis. Exercises in the text are complemented with online exercise and prompts that test the understanding of concepts and techniques, additional online exercises review understanding of the entire chapter, relating concepts and techniques. Completely revised and updated for accessibility, including new material (on measures of distance, statistical power, sample size selection, and basic probability) with related exercises and downloadable datasets. It is the only text required for undergraduate modules in statistical analysis, statistical methods, and quantitative geography.