In Search of Respect: Selling Crack in El Barrio (Structural Analysis in the Social Sciences) by Philippe Bourgois
Direct costs of osteoporosis and hip fracture:An analysis for the Mexican Social Insurance Health Care System
Loans for the unemployed- Convenient and Fast Loans for the Unemployed
Understanding Regression Analysis - Quantitative Application In The Social Sciences
Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences) by J Scott Long
Polite, Pertinent, and... Pretty: Designing for the New-wave of Personal Informatics
21st Century Tools For The Social Studies Classroom
The Mutagenic Activity of Chitosan and its Effect on the Growth of Trichoderma harzianum and Fusarium oxysporum F. Sp. Sesami
Science and Technology Inputs for the Development of Paniya and Kattunayakan Tribal Women of the Nilgiri District by Nanjan Siva, Researcher, Tribal Research Centre, Ooty
FNTI announces the successful completion of the document conversion and redaction project for the State of Ohio Department of Health
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The book provides graduate students in the social sciences with the basic skills that they need to estimate, interpret, present, and publish basic regression models using contemporary standards. ...
Bayesian Analysis for the Social Sciences
Theory-Based Data Analysis for the Social Sciences
Statistical Analysis for the Social Sciences
Statistical Analysis for the Social Sciences: Interactive Approach, by Abrami
This book describes the principles and techniques needed to analyze data that form a multiway contingency table. Wickens discusses the description of association in such data using log-linear and ...
An insightful guide to understanding and visualizing multivariate statistics using SAS®, STATA®, and SPSS®Multivariate Analysis for the Biobehavioral and Social Sciences: A ...
An introductory guide to smoothing techniques, semiparametric estimators, and their related methods, this book describes the methodology via a selection of carefully explained examples and data sets. ...
A collection of studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting datasets. A prominent breakthrough in categorical data analysis is the ...
Social network analysis, which focuses on relationships among social entities, is used widely in the social and behavioral sciences, as well as in economics, marketing, and industrial engineering. ...