全部版块 我的主页
论坛 数据科学与人工智能 数据分析与数据科学 数据分析与数据挖掘
2345 0
2014-03-07
Springer Dordrecht Heidelberg New York London
Library of Congress Control Number: 2013934708
In spring of 2010, Howard Kaplan invited me to compile a volume on sociological methodology for
the Springer series, Handbooks of Sociology and Social Research. I proposed causal analysis for the
focus of a new volume because (1) causal explanation is a common goal of social research, (2) the
nature and practice of causal analysis has been a topic of methodological debate for decades, and (3)
the literature on causality has moved quickly in the last 20 years to a point where a volume-length
assessment by a diverse collection of scholars would be of considerable value to readers in sociology
and in the social sciences more broadly.
After selecting causal analysis as the focus of the volume, I recruited contributors with established
track records of publishing sophisticated and readable methodological scholarship, most of whom
held appointments in sociology departments and/or were trained as sociologists. Contributors were
encouraged to recruit graduate student coauthors in order to expand the community of scholars in
sociology who write on methodological topics.
As a target audience, I asked contributors to write for advanced graduate students and faculty
researchers in sociology. I also recommended that contributors include conceptual and empirical
examples from sociology and from the allied social sciences whenever appropriate. To maximize
accessibility, I asked contributors to develop chapters with mathematical details and demands that
would be only as difficult as they needed to be, in recognition of the fact that too much methodological
scholarship already uses moremathematics than is necessary for the purposes at hand. As an objective
standard, I asked for chapters that required mathematical preparation that is no more advanced than is
necessary to read the typical articles published in SociologicalMethodology and SociologicalMethods
and Research.
I also made it clear to contributors that my goal, as Editor, was not to push for the adoption of
any particular model of causality, including the counterfactualist perspective on quantitative causal
analysis of which I am most enamored. However, I did note that, because of the shape of the recent
literature, I hoped that all chapters would engage some of the counterfactuals literature to some extent.
I indicated that such engagement could be critical and/or brief, as appropriate, and that I was inviting
a collection of scholars whom I expected would collectively disagree on the ultimate value of the
potential outcome version of the counterfactual model. As readers of the complete Handbook will
discern, I succeeded in generating a diversity of positions on this issue.
I thank the contributors to the volume for their uniformly strong dedication to their chapters. We
hope that this Handbook will strengthen the conclusions typical of social research, providing a wide
range of researchers with methodological guidance that can help them to (a) select and utilize methodsof estimation and inference appropriately and (b) determine when causal conclusions are warranted,
based on the particular standards in the subfields in which they work. If this Handbook succeeds in
promoting these goals, then all of the credit is due to the talent and skill of the contributors to the
volume.
Ithaca, NY Stephen L. Morgan

附件列表

Handbook of Causal Analysis for Social Research.pdf

大小:4.71 MB

只需: 12 个论坛币  马上下载

Handbook of Causal Analysis for Social Research

二维码

扫码加我 拉你入群

请注明:姓名-公司-职位

以便审核进群资格,未注明则拒绝

相关推荐
栏目导航
热门文章
推荐文章

说点什么

分享

扫码加好友,拉您进群
各岗位、行业、专业交流群