Enabling a basic understanding of how to use key multivariate methods in the social sciences, this updated edition contains three new chapters on regression analysis, confirmatory factor analysis and structural equation models, and multilevel models. It presents many examples of real-world applicati..
Addressing the problem of analysis of questionnaire data and interpretation of results, this book proposes a methodology that uses R software. The author takes a practical approach to the subject, presenting principles first followed by detailed examples of their application to real data. He discuss..
At last - an intelligent and accessible introduction to the relationship between feminism and deconstruction. In this incisive and illuminating book, Diane Elam unravels: * the contemporary relevance of feminism and deconstruction * how we can still understand and talk about the materiality of women..
This text provides an overview of basic statistical methods used in behavioral research, experimental design, and report writing. It uniquely integrates statistics within the context of experimental design and simplifies the process of planning, conducting, analyzing, and preparing an experimental o..
Conjoint analysis (CA) and discrete choice experimentation (DCE) are tools used to facilitate development and modification of products, services, policies, and programs. Building on the authors’ significant work in the field, this book explores the experimental design issues that occur when construc..
With an emphasis on social science applications, this book presents an introduction to survival and event history analysis. It focuses on practical applications in the fields of demography, epidemiology, and econometrics. The text includes a wide range of real examples, with data available online an..
Accessible introduction to statistics using SPSS for Windows Release 6 for Windows 3.1 and Release 7 for Windows 95. It explains when to apply and how to calculate a wide range of statistical procedures used in social sciences...
Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and..
This handbook helps education experts understand what types of questions EDM can address and helps data miners understand what types of questions are important to educational design and educational decision making. The first part of the book includes nine surveys and tutorials on the principal data ..