標(biāo)題: Titlebook: Handbook of Causal Analysis for Social Research; Stephen L. Morgan Book 2013 Springer Science+Business Media Dordrecht 2013 Causal Analysi [打印本頁(yè)] 作者: 神像之光環(huán) 時(shí)間: 2025-3-21 17:30
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書(shū)目名稱(chēng)Handbook of Causal Analysis for Social Research讀者反饋
書(shū)目名稱(chēng)Handbook of Causal Analysis for Social Research讀者反饋學(xué)科排名
作者: Pageant 時(shí)間: 2025-3-21 21:57 作者: 有特色 時(shí)間: 2025-3-22 01:49 作者: Collar 時(shí)間: 2025-3-22 05:30 作者: Radiculopathy 時(shí)間: 2025-3-22 12:02 作者: folliculitis 時(shí)間: 2025-3-22 14:06
Mixed Methods and Causal Analysising core challenges in causal inference. We discuss ways in which the addition of a qualitative component can serve multiple roles in causal analyses, including understanding treatment definition, concept measurement, selection into treatment, causal effect mechanisms, and effect heterogeneity. We a作者: AUGUR 時(shí)間: 2025-3-22 18:18 作者: IRS 時(shí)間: 2025-3-22 23:10 作者: 思想靈活 時(shí)間: 2025-3-23 02:35 作者: Hot-Flash 時(shí)間: 2025-3-23 09:34 作者: ALIBI 時(shí)間: 2025-3-23 13:02
Causal Effect Heterogeneityatment, event, or intervention. A principal interaction of interest for questions of selection into treatment and causal inference in the social sciences is between the treatment and the propensity of treatment. Although the importance of “treatment-effect heterogeneity,” so defined, has been widely作者: Encoding 時(shí)間: 2025-3-23 14:54
New Perspectives on Causal Mediation Analysissystems of equations into “direct effects” and “indirect effects” through mediating variables. These decompositions have been used to address substantive questions of fundamental interest, for example, how a person’s social background affects his/her earnings through education. However, in general, 作者: Commentary 時(shí)間: 2025-3-23 20:56
Graphical Causal Modelsses, discusses central principles, and gives applied examples. DAGs are visual representations of qualitative causal assumptions: They encode researchers’ beliefs about how the world works. Straightforward rules map these causal assumptions onto the associations and independencies in observable data作者: 小丑 時(shí)間: 2025-3-23 23:16 作者: 補(bǔ)角 時(shí)間: 2025-3-24 06:19 作者: 同步左右 時(shí)間: 2025-3-24 09:46 作者: acolyte 時(shí)間: 2025-3-24 10:54 作者: WAIL 時(shí)間: 2025-3-24 16:35 作者: HARP 時(shí)間: 2025-3-24 21:01 作者: irreparable 時(shí)間: 2025-3-25 01:15 作者: certitude 時(shí)間: 2025-3-25 05:16
Human Factors in Tractor Design,ing core challenges in causal inference. We discuss ways in which the addition of a qualitative component can serve multiple roles in causal analyses, including understanding treatment definition, concept measurement, selection into treatment, causal effect mechanisms, and effect heterogeneity. We a作者: hair-bulb 時(shí)間: 2025-3-25 10:03 作者: 排斥 時(shí)間: 2025-3-25 12:07
Effects of Subsidies on Resource Allocationor evaluating the extent of such violations and for adjusting the estimated model parameters if necessary are generally available in books on regression methodology. Recent developments in statistics have taken a different approach by examining the data to ascertain whether the estimated heterosceda作者: 下船 時(shí)間: 2025-3-25 19:39 作者: Agility 時(shí)間: 2025-3-25 23:28
https://doi.org/10.1007/978-981-10-2887-8riables and the multinomial logit, together with log-linear models for contingency tables, have become widely used by social scientists in the past 30 years. In this chapter, we show that the identification and estimation of causal effects using these models present severe challenges, over and above作者: 使害羞 時(shí)間: 2025-3-26 03:34 作者: 象形文字 時(shí)間: 2025-3-26 05:12
Nagesh Shukla,Arjun Radhakrishnansystems of equations into “direct effects” and “indirect effects” through mediating variables. These decompositions have been used to address substantive questions of fundamental interest, for example, how a person’s social background affects his/her earnings through education. However, in general, 作者: Compass 時(shí)間: 2025-3-26 08:48
Commercial Defense Policy: Issues at Stakeses, discusses central principles, and gives applied examples. DAGs are visual representations of qualitative causal assumptions: They encode researchers’ beliefs about how the world works. Straightforward rules map these causal assumptions onto the associations and independencies in observable data作者: 吊胃口 時(shí)間: 2025-3-26 15:47 作者: foppish 時(shí)間: 2025-3-26 18:26
Chile: A Multi-Track Market Access Strategynalysis in the social sciences. Through decades of development, critics and defenses of the capability of SEMs to support causal inference have accumulated. A variety of misunderstandings and myths about the nature of SEMs and their role in causal analysis have emerged, and their repetition has led 作者: Ointment 時(shí)間: 2025-3-26 21:30
https://doi.org/10.1007/978-94-007-6094-3Causal Analysis in the Social Sciences; Causal inference; Causality and Structural Equation Models; Cau作者: 抒情短詩(shī) 時(shí)間: 2025-3-27 03:02
Stephen L. MorganAddresses the main debates in the methodology of social inquiry.Offers overview material on causal inference and covers many central issues in the identification of systems of causal relationships.Bri作者: GRIN 時(shí)間: 2025-3-27 06:11
Handbooks of Sociology and Social Researchhttp://image.papertrans.cn/h/image/420953.jpg作者: 直覺(jué)沒(méi)有 時(shí)間: 2025-3-27 11:50 作者: 替代品 時(shí)間: 2025-3-27 16:07 作者: Abominate 時(shí)間: 2025-3-27 21:04 作者: homeostasis 時(shí)間: 2025-3-27 22:11
1389-6903 in the identification of systems of causal relationships.Bri.What 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作者: 瘙癢 時(shí)間: 2025-3-28 06:04
Book 2013causal 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.?? .作者: 招待 時(shí)間: 2025-3-28 08:11 作者: onlooker 時(shí)間: 2025-3-28 13:32 作者: 排斥 時(shí)間: 2025-3-28 17:01 作者: 背心 時(shí)間: 2025-3-28 19:13 作者: ATP861 時(shí)間: 2025-3-29 01:54
A History of Causal Analysis in the Social Sciencesroach, which contains nearly all of the elements of these three major frameworks into a single case-oriented method to causal analysis. We conclude by speculating on the future of causal analysis in the social sciences.作者: DOLT 時(shí)間: 2025-3-29 04:59 作者: 采納 時(shí)間: 2025-3-29 10:02 作者: 胖人手藝好 時(shí)間: 2025-3-29 13:46 作者: 館長(zhǎng) 時(shí)間: 2025-3-29 18:32
Operating the Tractor and the Implement,stimate models by making explicit their assumptions about empty sectors in the vector space defined by the causal variables. The paper concludes by urging greater appreciation of the differences between the statistical and set-theoretic approaches to causal analysis.作者: Cognizance 時(shí)間: 2025-3-29 22:16
https://doi.org/10.1007/978-1-349-02051-5e a deeper understanding of these models, and to help researchers determine the most appropriate approach to use when analyzing longitudinal data, we provide three empirical examples. We also briefly discuss several extensions of fixed/random effects models. We conclude by suggesting additional literature that readers may find helpful.作者: 瑪瑙 時(shí)間: 2025-3-30 03:47
Causal Models and Counterfactualsstimate models by making explicit their assumptions about empty sectors in the vector space defined by the causal variables. The paper concludes by urging greater appreciation of the differences between the statistical and set-theoretic approaches to causal analysis.作者: ornithology 時(shí)間: 2025-3-30 04:03 作者: APEX 時(shí)間: 2025-3-30 08:14
1389-6903 mpirical 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.?? .978-94-017-9407-7978-94-007-6094-3Series ISSN 1389-6903 Series E-ISSN 2542-839X 作者: 袋鼠 時(shí)間: 2025-3-30 15:58 作者: 憂(yōu)傷 時(shí)間: 2025-3-30 18:01
https://doi.org/10.1007/978-981-97-2328-7escribe ultimate and fundamental causes, which do not concern the relationship between an explanatory variable and outcome so much as the causes of properties of the systems in which more concrete causal relationships exist.作者: 褲子 時(shí)間: 2025-3-30 21:59
,Hole Engineering—From Filters to Counters,ausal inference at the peak. Rather, I adopt the design typology of Leslie Kish (1987), which advocates an appropriate balance of ., ., and ., and illustrate how all three elements (and not just randomization, the internal validity design mechanism) are integrated aspects of . causal analysis. What 作者: 鞭子 時(shí)間: 2025-3-31 00:53 作者: 暫時(shí)休息 時(shí)間: 2025-3-31 05:54 作者: Exuberance 時(shí)間: 2025-3-31 12:34
