Bildungserträge in der Erwerbsgesellschaft

Analysen zur Karrieremobilität

Author: Jürgen Schiener

Publisher: Springer-Verlag

ISBN: 3531901664

Category: Social Science

Page: 295

View: 1385

Wissen gewinnt immer mehr an Bedeutung. Die Folgen für das Verhältnis von Bildung und Beschäftigung sind allerdings erst ansatzweise geklärt. Deshalb werden in diesem Buch ausgewählte Bezüge zwischen Bildung, Weiterbildung und beruflichen Karrieren anhand des sozio-ökonomischen Panels nachgezeichnet. Im Einzelnen geht es um den Wert von Bildungsabschlüssen bei der Statuszuweisung, die Entwicklung der Karrieremobilität, um Ungleichheiten in der Weiterbildungsbeteiligung und um den Nutzen beruflicher Weiterbildung für den sozialen Aufstieg. Die Ergebnisse werfen ein kritisches Licht auf den vielbeschworenen Anspruch des "lebenslangen Lernens".

Statistical Modeling for Management

Author: Graeme D Hutcheson,Luiz Moutinho

Publisher: SAGE

ISBN: 1849202486

Category: Business & Economics

Page: 256

View: 6353

Bringing to life the most widely used quantitative measurements and statistical techniques in marketing, this book is packed with user-friendly descriptions, examples and study applications. The process of making marketing decisions is frequently dependent on quantitative analysis and the use of specific statistical tools and techniques which can be tailored and adapted to solve particular marketing problems. Any student hoping to enter the world of marketing will need to show that they understand and have mastered these techniques. A bank of downloadable data sets to compliment the tables provided in the textbook are provided free for you here

Statistical models for ordinal variables

Author: Clifford C. Clogg,Edward S. Shihadeh

Publisher: Sage Publications, Inc

ISBN: N.A

Category: Mathematics

Page: 192

View: 3821

"This book provides an outstanding introduction to. . . using association models developed primarily by Leo Goodman. . . . This well-written book provides a careful and generally clear introduction to association models. . . . the authors have achieved their aims well. They make a strong case for the usefulness of association models in a variety of applications. Clogg. . . and Shihadeh have provided sociologists with an introduction filled with wise advice about analyzing associations between ordinal variables." --Alan Agresti in Contemporary Sociology "This is a very useful book about. . . statistical models for ordinal variables. Reading this book. . . your reviewer was pleased to find a clear and succinct account explaining a variety of association models. . . . These models are the 'RC' models. . . . it is to statistical methods for the social sciences that this book. . . is aimed. . . . This is not a total beginner's book, however. . . and I thought the pace a little faster than leisurely. . . . a fine resource of clear description and explanation of the use of statistical models for ordinal data. . . ." --M. C. Jones in Journal of the Royal Statistical Society "This book is worthwhile reading for statisticians who have scattered training in ordinal data analysis and want to pull this training into a coherent overview. It is a fine supplement to other more mathematical books in the area. . . . After reading the book, the reader will have a clear understanding of the role of odds ratios in ordinal data analysis." --Technometrics "Includes a concise but clear review of criteria for assessing goodness-of-fit. . . . I found this volume an accessible unification of work in the area. I recommend it." --International Statistical Institute How should data involving response variables of many ordered categories be analyzed? What technique is the most useful in analyzing partially ordered variables regarded as dependent variables? Addressing these and other related concerns in social and survey research, this book carefully explores the statistical analysis of data involving dependent variables that can be coded into discrete, ordered categories. Through an analysis of ordinal variables, the authors cover the general procedures for assessing goodness-of-fit, review the independence model and the saturated model, define measures of association, demonstrate the logit version of the model and the jackknife method for contingency tables, and explain associated models for two-way tables as well as logit-type regression models.

Strength in Numbers: The Rising of Academic Statistics Departments in the U. S.

Author: Alan Agresti,Xiao-Li Meng

Publisher: Springer Science & Business Media

ISBN: 1461436494

Category: Mathematics

Page: 564

View: 2673

Statistical science as organized in formal academic departments is relatively new. With a few exceptions, most Statistics and Biostatistics departments have been created within the past 60 years. This book consists of a set of memoirs, one for each department in the U.S. created by the mid-1960s. The memoirs describe key aspects of the department’s history -- its founding, its growth, key people in its development, success stories (such as major research accomplishments) and the occasional failure story, PhD graduates who have had a significant impact, its impact on statistical education, and a summary of where the department stands today and its vision for the future. Read here all about how departments such as at Berkeley, Chicago, Harvard, and Stanford started and how they got to where they are today. The book should also be of interests to scholars in the field of disciplinary history.

Statistics

The Conceptual Approach

Author: Gudmund R. Iversen,Mary Gergen

Publisher: Springer Science & Business Media

ISBN: 1461222443

Category: Mathematics

Page: 735

View: 8596

An imaginative introduction to statistics, reorienting the course towards an understanding of statistical thinking and its meaning and use in daily life and work. Gudmund Iversen and Mary Gergen bring their years of experience and insight into teaching the subject, incorporating such innovations and insights as a sustained emphasis on the process of statistical analysis and what statistics can and cannot do as well as careful exposition of the ideas of developing statistical and graphical literacy. In the spirit of contemporary pedagogy and by using technology, the authors break down the traditional barriers of statistical formulas and lengthy computations encountered by students without strong quantitative skills. Further, formulas are grouped at the end of each chapter along with related problems, and, with only algebra as a prerequisite, the book is ideal for students in the liberal arts and the behavioural and social sciences.

Regression Models for Categorical and Limited Dependent Variables

Author: J. Scott Long

Publisher: SAGE

ISBN: 9780803973749

Category: Mathematics

Page: 297

View: 7497

A unified treatment of the most useful models for categorical and limited dependent variables (CLDVs) is provided in this book. Throughout, the links among the models are made explicit, and common methods of derivation, interpretation and testing are applied. In addition, the author explains how models relate to linear regression models whenever possible.

Justice quarterly

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Social Science

Page: N.A

View: 1819

Mathematical Reviews

Author: N.A

Publisher: N.A

ISBN: N.A

Category: Mathematics

Page: N.A

View: 2631

Logistic Regression

From Introductory to Advanced Concepts and Applications

Author: Scott Menard

Publisher: SAGE

ISBN: 1412974836

Category: Social Science

Page: 377

View: 7102

Logistic Regression is designed for readers who have a background in statistics at least up to multiple linear regression, who want to analyze dichotomous, nominal, and ordinal dependent variables cross-sectionally and longitudinally.

Subject Guide to Books in Print

An Index to the Publishers' Trade List Annual

Author: N.A

Publisher: N.A

ISBN: N.A

Category: American literature

Page: N.A

View: 1234

Logistic Regression Models for Ordinal Response Variables

Author: Ann A. O'Connell

Publisher: SAGE

ISBN: 9780761929895

Category: Mathematics

Page: 107

View: 2327

Logistic Regression Models for Ordinal Response Variables provides applied researchers in the social, educational, and behavioral sciences with an accessible and comprehensive coverage of analyses for ordinal outcomes. The content builds on a review of logistic regression, and extends to details of the cumulative (proportional) odds, continuation ratio, and adjacent category models for ordinal data. Description and examples of partial proportional odds models are also provided. This book is highly readable, with lots of examples and in-depth explanations and interpretations of model characteristics.

Log-Linear Models for Event Histories

Author: Jeroen K. Vermunt

Publisher: SAGE Publications, Incorporated

ISBN: N.A

Category: Social Science

Page: 360

View: 7180

Event history analysis has been a useful method in the social sciences for studying the processes of social change. However, a main difficulty in using this technique is to observe all relevant explanatory variables without missing any variables. This book presents a general approach to missing data problems in event history analysis which is based on the similarities between log-linear models, hazard models and event history models. It begins with a discussion of log-rate models, modified path models and methods for obtaining maximum likelihood estimates of the parameters of log-linear models. The author then shows how to incorporate variables with missing information in log-linear models - including latent class models, m

Structural equation modeling

foundations and extensions

Author: David Kaplan

Publisher: Sage Publications, Inc

ISBN: N.A

Category: Psychology

Page: 215

View: 8607

"This is a thorough and sophisticated treatment of structural equation modeling (SEM). The book assumes a strong background in statistics and matrix algebra. The author clearly is knowledgeable and has put much thought into the pros and cons of standard applications of SEM. The chapters on multilevel and growth modeling are an excellent feature of the book." --Rick H. Hoyle, University of Kentucky Through the use of detailed, empirical examples, this exciting book presents an advanced treatment of the foundations of structural equation modeling (SEM) and demonstrates how SEM can provide a unique lens on problems in the social and behavioral sciences. The author begins with an introduction to recursive and non-recursive models, estimation, testing, and the problem of measurement in observed variables. Kaplan then explores the issue of group differences in structural models, statistical assumptions in structural modeling (from sampling to missing data and specification error), the assessment of statistical power and model modification in the context of model evaluation, and SEM applied to complex data structures such as those obtained from clustered random sampling. The book concludes with a discussion of recent developments in latent variable growth curve modeling and a critique of the conventional practice of structural modeling in light of recent developments in econometric modeling. Features/Benefits: - Shows how SEM can be used to answer substantive questions by weaving a small set of substantive examples throughout the book - Explains recent developments in structural equation modeling applied to complex sampling, such as multilevel SEM and latent variable growth - Provides a critique of the standard practice of structural equation modeling throughout the book and discusses an alternative approach in light of recent developments in econometric modeling.

Quantitative Methods for Historians

A Guide to Research, Data, and Statistics

Author: Konrad Hugo Jarausch

Publisher: UNC Press Books

ISBN: 9780807843093

Category: History

Page: 247

View: 2759

The pioneering texts in quantitative history were written over two decades ago, but as a command of methodological context, computer experience, and statistical literacy have become increasingly important to the study of history, the need for an introduct

Multivariate taxometric procedures

distinguishing types from continua

Author: Niels G. Waller,Paul Everett Meehl

Publisher: Sage Publications, Inc

ISBN: N.A

Category: Mathematics

Page: 150

View: 7167

Can taxometric procedures be used to distinguish types (species, latent classes, taxa) from continua (dimensions, latent traits, factors); and, if so, how? Aimed at demystifying this process, Waller and Meehl unpack Meehl's work on the MAXCOV-HITMAX procedure to reveal the underlying rationale of MAXCOV in simple terms and show how this technique can be profitably used in a variety of disciplines by researchers in their taxonomic work.