LEADER 00881nam0-22003011i-450- 001 990007068550403321 005 20020403 035 $a000706855 035 $aFED01000706855 035 $a(Aleph)000706855FED01 035 $a000706855 100 $a20020403d1840----km-y0itay50------ba 101 0 $aeng 102 $aFR 105 $ay-------001yy 200 1 $aView of the State of Europe during the Middle Ages$fHenry Hallam 210 $aParis$cBaudry's European$d1840 215 $a2 v.$d24 cm 225 1 $aCollection of Ancient and Modern British Authors$v97 676 $a909.01$v20$zita 700 1$aHallam,$bHenry$f<1777-1859>$0259972 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990007068550403321 952 $aXXI B 129$b1026$fFGBC 959 $aFGBC 996 $aView of the State of Europe during the Middle Ages$9706344 997 $aUNINA LEADER 04740nam 2200565Ia 450 001 9910438241403321 005 20200520144314.0 010 $a94-007-6094-9 024 7 $a10.1007/978-94-007-6094-3 035 $a(CKB)2670000000372352 035 $a(EBL)1206401 035 $a(SSID)ssj0000907266 035 $a(PQKBManifestationID)11568768 035 $a(PQKBTitleCode)TC0000907266 035 $a(PQKBWorkID)10873927 035 $a(PQKB)10414400 035 $a(DE-He213)978-94-007-6094-3 035 $a(MiAaPQ)EBC1206401 035 $a(PPN)169142213 035 $a(EXLCZ)992670000000372352 100 $a20130307d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aHandbook of causal analysis for social research /$fStephen L Morgan, editor 205 $a1st ed. 2013. 210 $aDordrecht $cSpringer$d2013 215 $a1 online resource (424 p.) 225 0 $aHandbooks of sociology and social research 300 $aDescription based upon print version of record. 311 $a94-007-6093-0 320 $aIncludes bibliographical references. 327 $aPreface -- Chapter 1. Introduction; Stephen L. Morgan -- Part I. Background and Approaches to Analysis -- Chapter 2. A History of Causal Analysis in the Social Sciences; Sondra N. Barringer, Erin Leahey and Scott R. Eliason -- Chapter 3. Types of Causes; Jeremy Freese and J. Alex Kevern -- Part II. Design and Modeling Choices -- Chapter 4. Research Design: Toward a Realistic Role for Causal Analysis; Herbert L. Smith -- Chapter 5. Causal Models and Counterfactuals; James Mahoney, Gary Goertz and Charles C. Ragin -- Chapter 6. Mixed Models and Counterfactuals; David J. Harding and Kristin S. Seefeldt -- Part III. Beyond Conventional Regression Models -- Chapter 7. Fixed Effects, Random Effects, and Hybrid Models for Causal Analysis; Glenn Firebaugh, Cody Warner, and Michael Massoglia -- Chapter 8. Heteroscedastic Regression Models for the Systematic Analysis of Residual Variance; Hui Zheng, Yang Yang and Kenneth C. Land -- Chapter 9. Group Differences in Generalized Linear Models; Tim F. Liao -- Chapter 10. Counterfactual Causal Analysis and Non-Linear Probability Models; Richard Breen and Kristian Bernt Karlson -- Chapter 11. Causal Effect Heterogeneity; Jennie E. Brand and Juli Simon Thomas -- Chapter12. New Perspectives on Causal Mediation Analysis; Xiaolu Wang and Michael E. Sobel -- Part IV. Systems and Causal Relationships -- Chapter 13. Graphical Causal Models; Felix Elwert -- Chapter 14. The Causal Implications of  Mechanistic Thinking: Identification Using Directed Acyclic Graphs (DAGs); Carly R. Knight and Christopher Winship -- Chapter 15. Eight Myths about Causality and Structural Equation Models; Kenneth A. Bollen and Judea Pearl -- Part V. Influence and Interference -- Chapter 16. Heterogeneous Agents, Social Interactions, and Causal Inference; Guanglei Hong and Stephen W. Raudenbush -- Chapter 17. Social Networks and Causal Inference; Tyler J. VanderWeele and Weihua An -- Part VI. Retreat From Effect Identification -- Chapter 18. Partial Identification and Sensitivity Analysis; Markus Gangl -- Chapter 19. What You can Learn from Wrong Causal Models; Richard Berk, Lawrence Brown, Edward George, Emil Pitkin, Mikhail Traskin, Kai Zhang and Linda Zhao. 330 $aWhat constitutes a causal explanation, and must an explanation be causal? What warrants a causal inference, as opposed to a descriptive regularity? What techniques are available to detect when causal effects are present, and when can these techniques be used to identify the relative importance of these effects? What complications do the interactions of individuals create for these techniques? When can mixed methods of analysis be used to deepen causal accounts? Must causal claims include generative mechanisms, and how effective are empirical methods designed to discover them? The Handbook of Causal Analysis for Social Research tackles these questions with nineteen chapters from leading scholars in sociology, statistics, public health, computer science, and human development.  . 410 0$aHandbooks of Sociology and Social Research,$x1389-6903 606 $aSocial sciences$xResearch$vHandbooks, manuals, etc 606 $aSociology$xResearch$vHandbooks, manuals, etc 615 0$aSocial sciences$xResearch 615 0$aSociology$xResearch 676 $a300.72 701 $aMorgan$b Stephen L$020599 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438241403321 996 $aHandbook of causal analysis for social research$94201531 997 $aUNINA