MARC details
000 -LEADER |
fixed length control field |
07733cam a2200277 i 4500 |
001 - CONTROL NUMBER |
control field |
137768 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
ISI Library, Kolkata |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20170821120429.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
130123s2013 enka b 000 0 eng |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781446208281 (hbk : 4 vol. set) |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
ISI Library |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
000SB:300 |
Edition number |
23 |
Item number |
B114 |
245 00 - TITLE STATEMENT |
Title |
Fundamentals of regression modeling / |
Statement of responsibility, etc |
[edited by] Salvatore Babones. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Los Angeles : |
Name of publisher, distributor, etc |
SAGE, |
Date of publication, distribution, etc |
2013. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
4 volumes : |
Other physical details |
illustrations ; |
Dimensions |
24 cm. |
490 0# - SERIES STATEMENT |
Series statement |
Sage benchmarks in social research methods |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references. |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Machine generated contents note: Volume I --<br/> 1. Regression Fundamentals for the Social Sciences / Salvatore Babones --<br/> 1. The Meaning of p-Values --<br/> 2. The Nonutility of Significance Tests: The Significance of Tests of Significance Reconsidered / Sanford Labovitz --<br/> 3. Mindless Statistics / Gerd Gigerenzer --<br/> 4. Confusion over Measures of Evidence (p's) versus Errors ([alpha]'s) in Classical Statistical Testing / M.J. Bayarri --<br/> 5. Why We Don't Really Know What Statistical Significance Means: Implications for Educators / J. Scott Armstrong --<br/> 6. Researchers Should Make Thoughtful Assessments Instead of Null-Hypothesis Significance Tests / Fiona Fidler --<br/> 2. Control Variables --<br/> 7. Explaining Interstate Conflict and War: What Should Be Controlled For? / James Lee Ray --<br/> 8. The Phantom Menace: Omitted Variable Bias in Econometric Research / Kevin A. Clarke --<br/> 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 --<br/> 11. Statistical Usage in Sociology: Sacred Cows and Ritual / Sanford Labovitz --<br/> 12. Stepwise Regression in Social and Psychological Research / Daniel R. Denison --<br/> 13. Return of the Phantom Menace: Omitted Variable Bias in Political Research / Kevin A. Clarke --<br/> 14. Stepwise Regression: A Caution / Michael S. Lewis-Beck --<br/> Volume II --<br/> 3. Outliers and Influential Points --<br/> 15. Teaching about Influence in Simple Regression / Frederick O. Lorenz --<br/> 16. Regression Diagnostics: An Expository Treatment of Outliers and Influential Cases / Robert W. Jackman --<br/> 17.A Survey of Outlier Detection Methodologies / Jim Austin --<br/> 18. Practitioners' Corner: Beware of `Good' Outliers and Overoptimistic Conclusions / Vincenzo Verardi --<br/> 19. Some Observations on Measurement and Statistics / Sanford Labovitz --<br/> 4. Multicolinearity and Variance Inflation. Contents note continued: 20. Issues in Multiple Regression / Robert A. Gordon --<br/> 21.A Caution Regarding Rules of Thumb for Variance Inflation Factors / Robert M. O'Brien --<br/> 22. What to Do (and Not Do) with Multicollinearity in State Politics Research / Gregory A. Huber --<br/> 23. On the Misconception of Multicollinearity in Detection of Moderating Effects: Multicollinearity Is Not Always Detrimental / Gwowen Shieh --<br/> 24. Correlated Independent Variables: The Problem of Multicollinearity / H.M. Blalock Jr --<br/> 5. Sample Selection Biases --<br/> 25. Modeling Selection Effects / David A. Freedman --<br/> 26. An Introduction to Sample Selection Bias in Sociological Data / Richard A. Berk --<br/> 27. Models for Sample Selection Bias / Robert D. Mare --<br/> 28. Sample Selection Bias as a Specification Error / James J. Heckman --<br/> 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 --<br/> Volume III --<br/> 6. Imputation Techniques --<br/> 31. The Treatment of Missing Data / David C. Howell --<br/> 32.A Primer on Maximum Likelihood Algorithms Available for Use with Missing Data / Craig K. Enders --<br/> 33. What to Do about Missing Values in Time-Series Cross-Section Data / Gary King --<br/> 34. Multiple Imputation for Missing Data: A Cautionary Tale / Paul D. Allison --<br/> 35. Multiple Imputation for Missing Data: Making the Most of What You Know / Jonathon N. Cummings --<br/> 36. Imputation of Missing Item Responses: Some Simple Techniques / Mark Huisman --<br/> 37. Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation / Kenneth Scheve --<br/> 38. An Empirical Evaluation of the Predictive Mean Matching Method for Imputing Missing Values / Carl F. Pieper --<br/> 7. Interaction Models. Contents note continued: 39. Testing for Interaction in Multiple Regression / Paul D. Allison --<br/> 40. Understanding Interaction Models: Improving Empirical Analyses / Matt Golder --<br/> 41. Product-Variable Models of Interaction Effects and Causal Mechanisms / Lowell L. Hargens --<br/> 42. Limitations of Centering for Interactive Models / Richard L. Tate --<br/> 43. Decreasing Multicollinearity: A Method for Models with Multiplicative Functions / M.S. Sasaki --<br/> 44. Some Common Myths about Centering Predictor Variables in Moderated Multiple Regression and Polynomial Regression / Michael J. Zickar --<br/> 8. Longitudinal Models --<br/> 45.A General Panel Model with Random and Fixed Effects: A Structural Equations Approach / Jennie E. Brand --<br/> 46.A Lot More to Do: The Sensitivity of Time-Series Cross-Section Analyses to Simple Alternative Specifications / Daniel M. Butler --<br/> 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 --<br/> 49. Using Panel Data to Estimate the Effects of Events / Paul D. Allison --<br/> Volume IV --<br/> 9. Instrumental Variable Models --<br/> 50. Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments / Alan B. Krueger --<br/> 51. Improving Causal Inference: Strengths and Limitations of Natural Experiments / Thad Dunning --<br/> 52. Instrumental Variables Estimation in Political Science: A Readers' Guide / Donald P. Green --<br/> 53. Instrumental Variables in Sociology and the Social Sciences / Kenneth A. Bollen --<br/> 54. Problems with Instrumental Variables Estimation When the Correlation between the Instruments and the Endogenous Explanatory Variable Is Weak / Regina M. Baker --<br/> 10. Structural Models --<br/> 55. Practical Issues in Structural Modeling / Chih-Ping Chou --<br/> 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 --<br/> 58. Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach / David W. Gerbing --<br/> 59. Structural Equation Models in the Social and Behavioral Sciences: Model Building / James G. Anderson --<br/> 11. Causality --<br/> 60. Statistical Models for Causation / David A. Freedman --<br/> 61. Structural Equations and Causal Explanations: Some Challenges for Causal SEM / Keith A. Markus --<br/> 62. The Estimation of Causal Effects from Observational Data / Stephen L. Morgan --<br/> 63. Statistical Models for Causation: What Inferential Leverage Do They Provide / David A. Freedman --<br/> 64. The Foundations of Causal Inference / Judea Pearl. |
520 ## - SUMMARY, ETC. |
Summary, etc |
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. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Social sciences |
General subdivision |
Statistical methods. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Regression analysis. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Social sciences |
General subdivision |
Research |
-- |
Statistical methods. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Statistics. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Babones, Salvatore, |
Relator term |
editor |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Books |