Berry and Feldman provide a systematic treatment of many of the major problems encountered in using regression analysis. Since it is likely that one or more of the assumptions of the regression model will be violated in a specific empirical analysis, the ability to know when problems exist and when to take appropriate action helps to ensure the proper use of the procedure.The authors discuss: the consequences of violating the assumptions of the regression model; procedures for detecting when such violations occur; and strategies for dealing with these problems when they arise.The monograph was written without the use of matrix algebra, in order to make it more accessible. Notation used is consistent with SAGE's Applied Regression(QASS 22), and numerous examples are provided from political science, sociology, and economics.

Multiple Regression in Practice (Quantitative Applications in the Social Sciences)

Politics & Social Sciences

Feldman, Stanley

Berry, William D.

Social Sciences

Sage Publications, Inc.

Where an assumption of unidirectionality in causal effects is unrealistic, ′recursive′ models cannot be used, and more complex ′nonrecursive′ models are necessary. Unfortunately, many nonrecursive models (unlike recursive models) are ′unidentified′, which makes meaningful parameter estimation impossible. Even when they are identified, it would be inappropriate to use OLS regression techniques (appropriate for recursive models) for the purpose of estimation. The concept of identification, and the factors that lead to it are explained; and various tests for determination are provided. Illustrations from a variety of social science disciplines are used throughout the book.

Nonrecursive Causal Models (Quantitative Applications in the Social Sciences)

This volume reviews the most important recent advances in quantitative social science methodology. Broad coverage is given to techniques applicable to the study of a wide variety of topics. To better explain these techniques, each chapter includes an extensive treatment of just one or two substantive applications. Limited to a small number of applications, the authors are able to discuss the methodological choices involved in research to a degree rarely found in social science literature.

New Tools for Social Scientsts: Advances and Applications in Research Methods

Lewis-Beck, Michael S.

Through the use of careful explanation and examples, Berry demonstrates how to consider whether the assumptions of multiple regression are actually satisfied in a particular research project. Beginning with a brief review of the regression assumptions as they are typically presented in text books, he moves on to explore in detail the substantive meaning of each assumption; for example, lack of measurement error, absence of specification error, linearity, homoscedasticity, and lack of auto-correlation.

Understanding Regression Assumptions (Quantitative Applications in the Social Sciences)

See the best price to sell, buy, or rent books by Berry, William D.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Berry, William D.

See the best price to sell, buy, or rent books by Berry, William D.. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Multiple Regression in Practice (Quantitative Applications in the Social Sciences)

Nonrecursive Causal Models (Quantitative Applications in the Social Sciences)

New Tools for Social Scientsts: Advances and Applications in Research Methods

Understanding Regression Assumptions (Quantitative Applications in the Social Sciences)