Two features distinguish this book from other analyses of categorical data. First, the authors present both the transformational and latent variable approaches and so synthesize similar methods in statistical and econometric literatures. Second, the book has an applied orientation and features actual examples from social science research. The authors keep discussions of theory to a minimum.

Statistical Methods for Categorical Data Analysis

Business & Money

Xie, Yu

Powers, Daniel A.

Powerw, Daniel A.

Economics

Emerald Group Pub Ltd

Marriage and Cohabitation (Population and Development Series)

In an era when half of marriages end in divorce, cohabitation has become more commonplace and those who do get married are doing so at an older age. So why do people marry when they do? And why do some couples choose to cohabit? A team of expert family sociologists examines these timely questions in Marriage and Cohabitation, the result of their research over the last decade on the issue of union formation.Situating their argument in the context of the Western world’s 500-year history of marriage, the authors reveal what factors encourage marriage and cohabitation in a contemporary society where the end of adolescence is no longer signaled by entry into the marital home. While some people still choose to marry young, others elect to cohabit with varying degrees of commitment or intentions of eventual marriage. The authors’ controversial findings suggest that family history, religious affiliation, values, projected education, lifetime earnings, and career aspirations all tip the scales in favor of either cohabitation or marriage. This book lends new insight into young adult relationship patterns and will be of interest to sociologists, historians, and demographers alike.

Thornton, Arland

Axinn, William G.

Teen & Young Adult

University of Chicago Press

Situating their argument in the context of the Western world’s 500-year history of marriage, the authors of this work reveal what factors encourage marriage and cohabitation in a contemporary society where marriage and the relationships between women and men have changed dramatically. 
While many people still choose to marry without first cohabiting, others elect to cohabit with varying degrees of commitment or intentions of eventual marriage. The authors’ controversial findings suggest that family history, religious affiliation, values, projected education, lifetime earnings, and career aspirations all tip the scales in favor of either cohabitation or marriage. This book lends new insight into young adult relationship patterns and will be of interest to sociologists, historians, and demographers alike.

Women in Science: Career Processes and Outcomes

Why do so few women choose a career in science--even as they move into medicine and law in ever-greater numbers? In one of the most comprehensive studies of gender differences in science careers ever conducted, Women in Science provides a systematic account of how U.S. youth are selected into and out of science education in early life, and how social forces affect career outcomes later in the science labor market. 
 Studying the science career trajectory in its entirety, the authors attend to the causal influences of prior experiences on career outcomes as well as the interactions of multiple life domains such as career and family. While attesting to the progress of women in science, the book also reveals continuing gender differences in mathematics and science education and in the progress and outcomes of scientists' careers. The authors explore the extent and causes of gender differences in undergraduate and graduate science education, in scientists' geographic mobility, in research productivity, in promotion rates and earnings, and in the experience of immigrant scientists. They conclude that the gender gap in parenting responsibilities is a critical barrier to the further advancement of women in science.

Politics & Social Sciences

Shauman, Kimberlee A.

Social Sciences

Harvard University Press

Why do so few women choose a career in science--even as they move into medicine and law in ever-greater numbers? In one of the most comprehensive studies of gender differences in science careers ever conducted, Women in Science provides a systematic account of how U.S. youth are selected into and out of science education in early life, and how social forces affect career outcomes later in the science labor market. 
Studying the science career trajectory in its entirety, the authors attend to the causal influences of prior experiences on career outcomes as well as the interactions of multiple life domains such as career and family. While attesting to the progress of women in science, the book also reveals continuing gender differences in mathematics and science education and in the progress and outcomes of scientists' careers. The authors explore the extent and causes of gender differences in undergraduate and graduate science education, in scientists' geographic mobility, in research productivity, in promotion rates and earnings, and in the experience of immigrant scientists. They conclude that the gender gap in parenting responsibilities is a critical barrier to the further advancement of women in science.

Alarmists argue that the United States urgently needs more and better-trained scientists to compete with the rest of the world. Their critics counter that, far from facing a shortage, we are producing a glut of young scientists with poor employment prospects. Both camps have issued reports in recent years that predict the looming decline of American science. Drawing on their extensive analysis of national data sets, Yu Xie and Alexandra Killewald have welcome news to share: American science is in good health. 
Is American Science in Decline? does reveal areas of concern, namely scientists’ low earnings, the increasing competition they face from Asia, and the declining number of doctorates who secure academic positions. But the authors argue that the values inherent in American culture make the country highly conducive to science for the foreseeable future. They do not see globalization as a threat but rather a potential benefit, since it promotes efficiency in science through knowledge-sharing. In an age when other countries are catching up, American science will inevitably become less dominant, even though it is not in decline relative to its own past. As technology continues to change the American economy, better-educated workers with a range of skills will be in demand. So as a matter of policy, the authors urge that science education not be detached from general education.

Is American Science in Decline?

Killewald, Alexandra A.

Education & Reference

In this, our first volume of Sociological Methodology, we have grouped the articles into four sections into which the papers naturally seemed to fit. The first section is entitled “Statistical Models: Prediction, Model Evaluation, and Missing Data.” Papers in this section build on the long-standing tradition in sociology that relies on statistical models based on observational data, and they focus on important issues in prediction, model evaluation, and missing data. In “On the Assignment of Individuals to Latent Classes,” Leo A. Goodman compares two main competing procedures as to how individuals in a multiway contingency table can be assigned to latent classes in a latent class analysis. Andrew Gelman and Iain Pardoe, in “Average Predictive Comparisons for Models with Nonlinearity, Interactions, and Variance Components,” discuss the problem of predictions from regression models that are nonlinear, multilevel, and interactive. In “Multilevel Covariance Structure Analysis by Fitting Multiple Single-Level Models,” Ke-Hai Yuan and Peter M. Bentler propose methods for estimating and evaluating structural equation models at separate levels for multilevel data. Finally, in “Regression with Missing Ys:AnImproved Strategy for Analyzing Multiply Imputed Data,” Paul T. von Hippel offers concrete and sensible advice when dealing with missing data on the dependent variable in regression analysis. 
The second section of the volume focuses on data issues, with the title of “Data Collection and Data Quality.” In this section, we include two papers. In “Calibrating Measures ofFamily Activities between Large-and Small-Scale Datasets,” Nora Broege, Ann Owens, Anthony P. Graesch, Jeanne E. Arnold, and Barbara Schneider compare data from one large survey and data from one in-depth study on time use and activities in families. In “Extensions of Respondent-Driven Sampling: Analyzing Continuous Variables and Controlling for Differential EDITOR’S INTRODUCTION xix Recruitment,” Douglas D. Heckathorn extends his earlier work (with collaborators) on respondent-driven sampling to the case of continuous variables and controlling for differential recruitment. Social network is one of the key research areas in contemporary sociology.We are proud to present three methodological contributions to network analysis in this volume, under the section heading of “Methods for Analyzing Social Network Data.” In “Very Local Structure in Social Networks,” Katherine Faust asks the important question of to what extent empirical social works can be accounted for by simple local structural properties, and her answer is “a lot.” The other two papers are authored by Carter T. Butts, enjoying the rare luxury of publishing two papers in a single issue of a journal, which in our case is also a single volume! In “Permutation Models for Relational Data,” Butts proposes a class of models for measuring the association among dyadic structures. In “Models for Generalized Location Systems,” he proposes a class of broad, theoretically innovative models that are potentially usable for studies in many areas, including occupational stratification and residential segregation. Finally, we continue with the theme of the 2005 volume, which featured an important contribution by James Heckman, on causal inference in social science. The present section on the same topic contains two papers. “Indices ofRobustness for SampleRepresentation” by Kenneth Frank and Kyung-Seok Min expands the notation of robustness from the traditional concern with omitted variables to concerns with out-of-scope extrapolation. In “Identification and Estimation of Causal Effects with Time-Varying Treatments and Time-Varying Outcomes,” Jennie E. Brand and Yu Xie extend the counterfactual framework in causal inference to a longitudinal setting, focusing on the problem of the uncertainty reference groups, and they propose a class of estimands with a forward-looking principle.

Sociological Methodology 2007

Blackwell Pub.

Describes the background, design, and findings of the Long-Term Benefits of Head Start (LTBHS) study, conducted under the auspices of the High/Scope Educational Research Foundation. This study followed up children at two sites, one in Florida and one in Colorado, 17 years after their participation in the 1970-71 Head Start program. Of interest to educators and policymakers, and especially to program evaluators and researchers carrying out either quasi-experimental or experimental longitudinal studies of Head Start and other early childhood programs. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Into Adulthood: A Study of the Effects of Head Start

Education & Teaching

Weikart, David P.

Schweinhart, Lawrence J.

Oden, Sherri

Marcus, Sue M.

Schools & Teaching

High/Scope Foundation

The book is aimed at graduate students about quantitative research methods supplementary books, the writings of the famous University of Michigan Professor Yu Xie, published in 2006, the market response is very good, many schools will be used as a textbook for graduate students, for promoting domestic social circles focus on quantitative research, and to change the situation of the past ""qualitative, light quantitative"" played a definite role.

SOCIOLOGICAL METHODOLOGY AND QUANTITATIVE RESEARCH (SECOND EDITION) (Chinese Edition)

Social Science Academic Press

Regression analysis (Revised Edition)(Chinese Edition)

Social Sciences Academic Press

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