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
In Search of Respect: Selling Crack in El Barrio (Structural Analysis in the Social Sciences) by Philippe Bourgois
BIG IDEAS: A HISTORY OF FIELD RESEARCH IN INDUSTRIAL DESIGN IN THE ...
Fzi Karlsruhe - Social Applications In The Cloud
MASTER SYLLABUS Social Work 3510 - HUMAN BEHAVIOR IN THE SOCIAL ...
Changes in the Social Environment 1
Internal Wideband Monopole Antenna for MIMO Access-Point Applications in the WLAN/WiMAX Bands
A Glance at the Most Happening Trends in the Social Gaming Market
Applications of Artificial Neural Networks
This book provides the first accessible introduction to neural network analysis as a methodological strategy for social scientists. The author details numerous studies and examples which illustrate the advantages of neural network analysis over other quantitative and modeling methods in widespread use. Methods are presented in an accessible style for readers who do not have a background in computer science. The book provides a history of neural network methods, a substantial review of the literature, detailed applications, coverage of the most common alternative models and examples of two leading software packages for neural network analysis.
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A substantially revised and updated edition of an earlier volume in the series. Asher presents a number of techniques of causal modelling, beginning with the work of Simon and Blalock, and moving on ...
Although clustering--the classifying of objects into meaningful sets--is an important procedure, cluster analysis as a multivariate statistical procedure is poorly understood. This volume is an ...
Logit Modeling represents a breakthrough for researchers because it offers ways for more efficient estimation of models with multiple categorical variables, particularly whenever the ...
It is often necessary for social scientists to study differences in groups, such as gender or race differences in attitudes, buying behavior, or socioeconomic characteristics. When the researcher ...
This guide explains how social scientists can evaluate the reliability and validity of empirical measurements, discussing the three basic types of validity: criterion related, content, and ...
What is the probability that something will occur, and how is that probability altered by a change in an independent variable? To answer these questions, Tim Futing Liao introduces a systematic ...
The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions ...
This excellent introduction to stochastic parameter regression models is more advanced and technically difficult than other papers in this series. These models allow relationships to vary through ...
The goal for any social scientist conducting a survey is to develop a rating on some attitude, value or opinion - a summated rating scale. Aimed at helping researchers construct more effective ...
The second edition of this book provides a conceptual understanding of analysis of variance. It outlines methods for analysing variance that are used to study the effect of one or more nominal ...
