Methods matter: Improving causal inference in educational and social science research: A review article

Eric R. Eide and Mark H. Showalter

Economics of Education Review, 2012, vol. 31, issue 5, 744-748

Abstract: Professors Richard J. Murnane and John B. Willett set out to capitalize on recent developments in education data and methodology by attempting to answer the following questions: How can new methods and data be applied most effectively in educational and social science research? What kinds of research designs are most appropriate? What kinds of data are needed? What statistical methods are best used to process these data, and how can results be interpreted so that policymakers are best informed? In this review we summarize main contributions of the book, assess the unique value-added of the text, and discuss the usability of it to various potential audiences.

Keywords: Causal estimation; Education research; Research design (search for similar items in EconPapers)
JEL-codes: C1 I2 (search for similar items in EconPapers)
Date: 2012
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0272775712000684
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecoedu:v:31:y:2012:i:5:p:744-748

DOI: 10.1016/j.econedurev.2012.05.010

Access Statistics for this article

Economics of Education Review is currently edited by E. Cohn

More articles in Economics of Education Review from Elsevier
Bibliographic data for series maintained by Catherine Liu ().