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Informationen zum Autor Salvatore Babones is a senior lecturer in sociology & social policy at the University of Sydney (where he has worked since 2008) and an associate fellow at the Institute for Policy Studies (IPS). Prior to this he was an assistant professor of sociology, public health, and public & International affairs at the University of Pittsburgh. He previously worked as a statistician and statistical consultant in both the private and university sectors. He is the author or editor of four books and more than two dozen academic research articles. His academic research focuses on globalization and income distribution, economic development, and statistical methods for comparative social science research. He writes a weekly column for the Inequality.org website and contributes to progressive websites and newsletters across America. Klappentext This new four-volume major work presents a collection of landmark studies on the topic of regression modeling, identifying the most important, fundamental articles out of thousands of relevant contributions. The social sciences - particularly sociology and political science - have made extensive use of regression models since the 1960s, and regression modeling continues to be the staple method of the field. The collection is framed by an orienting essay which presents to a guide to regression modelling, written with applied practitioners in mind.This new four-volume major work presents a collection of landmark studies on the topic of regression modeling, identifying the most important, fundamental articles out of thousands of relevant contributions. Inhaltsverzeichnis VOLUME ONE PART ONE: THE MEANING OF P-VALUES The Non-Utility of Significance Tests - Sanford Labovitz The Significance of Tests of Significance Reconsidered Mindless Statistics - Gerd Gigerenzer Confusion over Measures of Evidence (p¿s) versus Errors (?¿s) in Classical Statistical Testing - Raymond Hubbard and M.J. Bayarri Why We Don¿t Really Know What Statistical Significance Means - Raymond Hubbard and J. Scott Armstrong Implications for Educators Statistical Significance Researchers Should Make Thoughtful Assessments Instead of Null-Hypothesis Significance Tests - Andrea Schwab et al PART TWO: CONTROL VARIABLES Explaining Interstate Conflict and War - James Lee Ray What Should Be Controlled for? The Phantom Menace - Kevin Clarke Omitted Variable Bias in Econometric Research Beyond Baron and Kenny - Andrew Hayes Statistical Mediation Analysis in the New Millennium Equivalence of the Mediation, Confounding and Suppression Effect - David Mackinnon, Jennifer Krull and Chondra Lockwood Statistical Usage in Sociology - Sanford Labovitz Sacred Cows and Ritual Stepwise Regression in Social and Psychological Research - Douglas Henderson and Daniel Denison Return of the Phantom Menace - Kevin Clarke Stepwise Regression - Michael Lewis-Beck A Caution PART THREE: OUTLIERS AND INFLUENTIAL POINTS Teaching about Influence in Simple Regression - Frederick Lorenz Regression Diagnostics - Kenneth Bollen and Robert Jackman An Expository Treatment of Outliers and Influential Cases A Survey of Outlier Detection Methodologies - Victoria Hodge and Jim Austin Practitioners¿ Corner - Catherine Dehon, Marjorie Gassner and Vincenzo Verardi Some Observations on Measurement and Statistics - Sanford Labovitz PART FOUR: MULTICOLINEARITY AND VARIANCE INFLATION Issues in Multiple Regression - Robert Gordon A Caution Regarding Rules of Thumb for Variance Inflation Factors - Robert O¿Brien What to Do (and Not Do) with Multicolinearity in State Politics Research - Kevin Arceneaux and Gregory Huber On the Misconception of Multicollinearity in Detection of Moderating Effects - Gwowen Shieh Multicollinearity Is Not Alwa...
