We offer these texts bundled together at a discount for your students.Harry J. Khamis, The Association Graph and the Multigraph for Loglinear Models Volume 167This practical guide teaches nonstatistic
This book of worked-out examples not only accompanies Timothy M. Hagle's earlier bookBasic Math for Social Scientists: Concepts, but also provides an informal refresher course in algebra sets, limits
Introducing time series methods and their application in social science research, this practical guide to time series models is the first in the field written for a non-econometrics audience. Giving r
This book covers the essential information needed to understand the problems involved in translating existing questionnaires and other paper and pencil instruments from one language to another as well
A concise, introductory text, Propensity Score Methods and Applications describes propensity score methods (PSM) and how they are used to balance the distributions of observed covariates between treat
Spatial Regression Models, 2nd ed. illustrates the use of spatial analysis in the social sciences within a regression framework. The book is accessible to readers without prior background in spat
Gathering Social Network Data provides an important complement to existing books that focus on social network analysis, and offers more detailed coverage than is available in existing chapter-length t
Damodar N. Gujarati’s Linear Regression: A Mathematical Introduction presents linear regression theory in a rigorous, but approachable manner that is accessible to students in all social science
Randomized response is an approach to survey data collection specifically designed for sensitive inquiries (such as on criminal behavior). The logic underlying this approach is that the element of cha
Updates to this new edition include: more coverage of regression assumptions and model fit; additional material on residual analysis; more examples of transformations; and the inclusion of the measure
The factorial survey method is well established in the social sciences as a method of assessing respondents’ beliefs about the world, judgment principles, or decision rules. Instead of single-item que
Regression diagnostics are methods for determining whether a regression model that has been fit to data adequately represents the structure of the data. For example, if the model assumes a linear (str
Multilevel Modeling is a concise, practical guide to building models for multilevel and longitudinal data. Author Douglas A. Luke begins by providing a rationale for multilevel models; outlines the ba
Several decades of psychometric research have led to the development of sophisticated models for multidimensional test data, and in recent years, multidimensional item response theory (MIRT) has becom
