Fundamentals of regression modeling

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.

Saved in:
Bibliographic Details
Other Authors: Babones, Salvatore J.
Format: Book
Language:English
Published: London ; Thousand Oaks, California SAGE 2013.
Series:Sage benchmarks in social research methods.
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
Call Number :HA 31.3 .F863 2013

MARC

LEADER 00000nam a2200000 aa4500
001 98931
003 MY-KLNDU
005 20241220023010.0
008 141014s2013 enka b 000 0 eng d
020 |a 9781446208281 (set of four volumes) 
020 |a 1446208281 (set of four volumes) 
039 9 |a 201410171113  |b shahrim  |y 201410141217  |z syarifuddin 
040 |a UPNM 
090 |a HA 31.3  |b .F863 2013 
245 0 0 |a Fundamentals of regression modeling  |c edited by Salvatore Babones. 
260 |a London ;  |a Thousand Oaks, California  |b SAGE  |c 2013. 
300 |a 4 v.  |b ill.  |c 24 cm. 
490 1 |a Sage benchmarks in social research methods 
504 |a Includes bibliographical references. 
505 0 |a Volume I -- 1.Regression Fundamentals for the Social Sciences / Salvatore Babones -- 1.The Meaning of p-Values -- 2.The Nonutility of Significance Tests: The Significance of Tests of Significance Reconsidered / Sanford Labovitz -- 3.Mindless Statistics / Gerd Gigerenzer -- 4.Confusion over Measures of Evidence (p's) versus Errors ([alpha]'s) in Classical Statistical Testing / M.J. Bayarri -- 5.Why We Don't Really Know What Statistical Significance Means: Implications for Educators / J. Scott Armstrong -- 6.Researchers Should Make Thoughtful Assessments Instead of Null-Hypothesis Significance Tests / Fiona Fidler -- 2.Control Variables -- 7.Explaining Interstate Conflict and War: What Should Be Controlled For? / James Lee Ray -- 8.The Phantom Menace: Omitted Variable Bias in Econometric Research / Kevin A. Clarke -- 9.Beyond Baron and Kenny: Statistical Mediation Analysis in the New Millennium / Andrew F. Hayes -- Contents note continued: 10.Equivalence of the Mediation, Confounding and Suppression Effect / Chondra M. Lockwood -- 11.Statistical Usage in Sociology: Sacred Cows and Ritual / Sanford Labovitz -- 12.Stepwise Regression in Social and Psychological Research / Daniel R. Denison -- 13.Return of the Phantom Menace: Omitted Variable Bias in Political Research / Kevin A. Clarke -- 14.Stepwise Regression: A Caution / Michael S. Lewis-Beck -- Volume II -- 3.Outliers and Influential Points -- 15.Teaching about Influence in Simple Regression / Frederick O. Lorenz -- 16.Regression Diagnostics: An Expository Treatment of Outliers and Influential Cases / Robert W. Jackman -- 17.A Survey of Outlier Detection Methodologies / Jim Austin -- 18.Practitioners' Corner: Beware of `Good' Outliers and Overoptimistic Conclusions / Vincenzo Verardi -- 19.Some Observations on Measurement and Statistics / Sanford Labovitz -- 4.Multicolinearity and Variance Inflation -- Contents note continued: 20.Issues in Multiple Regression / Robert A. Gordon -- 21.A Caution Regarding Rules of Thumb for Variance Inflation Factors / Robert M. O'Brien -- 22.What to Do (and Not Do) with Multicollinearity in State Politics Research / Gregory A. Huber -- 23.On the Misconception of Multicollinearity in Detection of Moderating Effects: Multicollinearity Is Not Always Detrimental / Gwowen Shieh -- 24.Correlated Independent Variables: The Problem of Multicollinearity / H.M. Blalock Jr -- 5.Sample Selection Biases -- 25.Modeling Selection Effects / David A. Freedman -- 26.An Introduction to Sample Selection Bias in Sociological Data / Richard A. Berk -- 27.Models for Sample Selection Bias / Robert D. Mare -- 28.Sample Selection Bias as a Specification Error / James J. Heckman -- 29.How the Cases You Choose Affect the Answers You Get: Selection Bias in Comparative Politics / Barbara Geddes -- Contents note continued: 30.When Less Is More: Selection Problems in Large-N and Small-N Cross-National Comparisons / Bernhard Ebbinghaus -- Volume III -- 6.Imputation Techniques -- 31.The Treatment of Missing Data / David C. Howell -- 32.A Primer on Maximum Likelihood Algorithms Available for Use with Missing Data / Craig K. Enders -- 33.What to Do about Missing Values in Time-Series Cross-Section Data / Gary King -- 34.Multiple Imputation for Missing Data: A Cautionary Tale / Paul D. Allison -- 35.Multiple Imputation for Missing Data: Making the Most of What You Know / Jonathon N. Cummings --36.Imputation of Missing Item Responses: Some Simple Techniques / Mark Huisman -- 37.Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation / Kenneth Scheve -- 38.An Empirical Evaluation of the Predictive Mean Matching Method for Imputing Missing Values / Carl F. Pieper -- 7.Interaction Models -- Contents note continued: 39.Testing for Interaction in Multiple Regression / Paul D. Allison -- 40.Understanding Interaction Models: Improving Empirical Analyses / Matt Golder -- 41.Product-Variable Models of Interaction Effects and Causal Mechanisms / Lowell L. Hargens -- 42.Limitations of Centering for Interactive Models / Richard L. Tate -- 43.Decreasing Multicollinearity: A Method for Models with Multiplicative Functions / M.S. Sasaki -- 44.Some Common Myths about Centering Predictor Variables in Moderated Multiple Regression and Polynomial Regression / Michael J. Zickar -- 8.Longitudinal Models -- 45.A General Panel Model with Random and Fixed Effects: A Structural Equations Approach / Jennie E. Brand -- 46.A Lot More to Do: The Sensitivity of Time-Series Cross-Section Analyses to Simple Alternative Specifications / Daniel M. Butler -- 47.Panel Models in Sociological Research: Theory Into Practice / Charles N. Halaby -- Contents note continued: 48.Dynamic Models for Dynamic Theories: The Ins and Outs of Lagged Dependent Variables / Nathan J. Kelly -- 49.Using Panel Data to Estimate the Effects of Events / Paul D. Allison -- Volume IV -- 9.Instrumental Variable Models -- 50.Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments / Alan B. Krueger -- 51.Improving Causal Inference: Strengths and Limitations of Natural Experiments / Thad Dunning -- 52.Instrumental Variables Estimation in Political Science: A Readers' Guide / Donald P. Green -- 53.Instrumental Variables in Sociology and the Social Sciences / Kenneth A. Bollen -- 54.Problems with Instrumental Variables Estimation When the Correlation between the Instruments and the Endogenous Explanatory Variable Is Weak / Regina M. Baker -- 10.Structural Models -- 55.Practical Issues in Structural Modeling / Chih-Ping Chou -- 56.As Others See Us: A Case Study in Path Analysis / D.A. Freedman -- Contents note continued: 57.Causation Issues in Structural Equation Modeling Research / Stanley A. Mulaik -- 58.Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach / David W. Gerbing -- 59.Structural Equation Models in the Social and Behavioral Sciences: Model Building / James G. Anderson -- 11.Causality -- 60.Statistical Models for Causation / David A. Freedman -- 61.Structural Equations and Causal Explanations: Some Challenges for Causal SEM / Keith A. Markus -- 62.The Estimation of Causal Effects from Observational Data / Stephen L. Morgan -- 63.Statistical Models for Causation: What Inferential Leverage Do They Provide / David A. Freedman -- 64.The Foundations of Causal Inference / Judea Pearl. 
520 |a 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. 
592 |a 00013224  |b 23/06/2014  |c RM3720.00 (set)  |h PVK 
650 0 |a Regression analysis. 
650 0 |a Social sciences  |x Statistical methods. 
650 0 |a Social sciences  |x research  |x statistical methods. 
650 0 |a Statistics. 
700 1 |a Babones, Salvatore J. 
830 0 |a Sage benchmarks in social research methods. 
999 |a vtls000053038  |c 98931  |d 98931