Handbook of causal analysis for social research /
Title By: Morgan, Stephen L., (Stephen Lawrence) [Editor]
Material type: BookSeries: Handbooks of sociolgy and social research.Publisher: Dordrecht : Springer, 2013Description: xi, 424 p. : ill. ; 26 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 978-9401794077Subject(s): Sociology -- Research -- Handbooks, manuals, etcDDC classification: 300Item type | Home library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
REGULAR | University of Wollongong in Dubai PHD Shelf | 300.72 HA ND (Browse shelf) | Available | T0050836 |
, Shelving location: PHD Shelf Close shelf browser
300.72 GR DO Doing research in the real world / | 300.72 HA MY The myth of research-based policy & practice / | 300.72 HA ND Handbook of qualitative research / | 300.72 HA ND Handbook of causal analysis for social research / | 300.72 HA ND Handbook of Research Methods on Human Resource Development | 300.72 HA ND Handbook of research methods and applications in spatially integrated social science | 300.72 HA WH What is qualitative research? / |
Includes bibliographical references.
Also issued online.
This book reviews the tremendous progress of the past 15 years in the causal analysis of non-experimental data, also known as observational data, and shows how to use state-of-the-art methods for causal analysis in basic and applied empirical scholarship.
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 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.