找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Causality and Causal Modelling in the Social Sciences; Measuring Variations Federica Russo Book 2009 Springer Science+Business Media B.V. 2

[復制鏈接]
查看: 37874|回復: 35
樓主
發(fā)表于 2025-3-21 17:40:07 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Causality and Causal Modelling in the Social Sciences
副標題Measuring Variations
編輯Federica Russo
視頻videohttp://file.papertrans.cn/223/222627/222627.mp4
概述The first book to focus on the notion of variation in causal reasoning.Includes an accessible overview of the methodology of causal modelling.Provides a thorough discussion of philosophical accounts o
叢書名稱Methodos Series
圖書封面Titlebook: Causality and Causal Modelling in the Social Sciences; Measuring Variations Federica Russo Book 2009 Springer Science+Business Media B.V. 2
描述.The anti-causal prophecies of last century have been disproved. Causality is neither a ‘relic of a bygone’ nor ‘a(chǎn)nother fetish of modern science’; it still occupies a large part of the current debate in philosophy and the sciences. ..This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the dominant Human paradigm. The notion of variation is shown to be embedded in the scheme of reasoning behind various causal models: e.g. Rubin’s model, contingency tables, and multilevel analysis. It is also shown to be latent – yet fundamental – in many philosophical accounts. Moreover, it has significant consequences for methodological issues: the warranty of the causal interpretation of causal models, the levels of causation, the characterisation of mechanisms, and the interpretation of probability...This book offers a novel philosophical and methodological approach to causal reasoning in causal modelling and provides the reader with the tools to be up to date about various
出版日期Book 2009
關鍵詞Causal modelling; Causality; Demography; Interpretation of probability; Probalistic causality; Social Sci
版次1
doihttps://doi.org/10.1007/978-1-4020-8817-9
isbn_softcover978-90-481-7996-1
isbn_ebook978-1-4020-8817-9Series ISSN 1572-7750 Series E-ISSN 2542-9892
issn_series 1572-7750
copyrightSpringer Science+Business Media B.V. 2009
The information of publication is updating

書目名稱Causality and Causal Modelling in the Social Sciences影響因子(影響力)




書目名稱Causality and Causal Modelling in the Social Sciences影響因子(影響力)學科排名




書目名稱Causality and Causal Modelling in the Social Sciences網(wǎng)絡公開度




書目名稱Causality and Causal Modelling in the Social Sciences網(wǎng)絡公開度學科排名




書目名稱Causality and Causal Modelling in the Social Sciences被引頻次




書目名稱Causality and Causal Modelling in the Social Sciences被引頻次學科排名




書目名稱Causality and Causal Modelling in the Social Sciences年度引用




書目名稱Causality and Causal Modelling in the Social Sciences年度引用學科排名




書目名稱Causality and Causal Modelling in the Social Sciences讀者反饋




書目名稱Causality and Causal Modelling in the Social Sciences讀者反饋學科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:57:16 | 只看該作者
Probabilistic Approaches,lighted, viz. statistical relevance and temporal priority of causes, and traditional criticisms discussed. Finally, it is argued that a mature theory of causality has to start afresh by investigating causal models, as they enable us to account for the mul tivariate aspect of causality in the social
板凳
發(fā)表于 2025-3-22 03:56:01 | 只看該作者
Methodology of Causal Modelling,, multi level analysis, and contingency tables, by paying particular attention to the meaning of their assumptions and to their hypothetico-deductive methodology. An overview of the difficulties and weaknesses of causal models is also offered.
地板
發(fā)表于 2025-3-22 06:53:23 | 只看該作者
Epistemology of Causal Modelling,ariance. Namely, causal models establish causal claims by evaluating suitable variations among variables of interest. It is also argued that regularity and invariance are constraints to impose on variations in order to guarantee their causal interpretation. Empirical, methodological, and philosophic
5#
發(fā)表于 2025-3-22 10:01:43 | 只看該作者
6#
發(fā)表于 2025-3-22 15:40:19 | 只看該作者
Methodological Consequences: Mechanisms and Levels of Causation, of mechanisms and that, by modelling mechanisms, causal models are able to provide explanations of social phenomena. The chapter then discusses the problem of the levels of causation. It first reformulates Sober‘s Connecting Principle by which we can calculate the support of a single-case causal hy
7#
發(fā)表于 2025-3-22 19:31:16 | 只看該作者
8#
發(fā)表于 2025-3-22 22:26:04 | 只看該作者
9#
發(fā)表于 2025-3-23 04:02:14 | 只看該作者
10#
發(fā)表于 2025-3-23 09:24:08 | 只看該作者
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-10 04:07
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
辽中县| 阿拉善左旗| 哈尔滨市| 武川县| 宣化县| 阿拉善盟| 山丹县| 泽州县| 固阳县| 定兴县| 尼木县| 临潭县| 彭山县| 德格县| 淄博市| 兴化市| 城市| 高尔夫| 玉屏| 通许县| 泗洪县| 洞口县| 于都县| 阿鲁科尔沁旗| 宁城县| 青浦区| 广宗县| 罗田县| 鄂托克旗| 元朗区| 丽水市| 辛集市| 巴东县| 和田县| 古交市| 岳西县| 调兵山市| 德保县| 灵宝市| 灵川县| 南华县|