Replication of Quasi-Experimental Population Studies: Motivation and Guidance

William M. Cready
Additional contact information
William M. Cready: The University of Texas at Dallas, Richardson, TX 75080, USA

The International Journal of Accounting (TIJA), 2021, vol. 56, issue 03, 1-30

Abstract: Most quasi-experimental empirical analyses in accounting involve determining a set of sample selection criteria and then applying these criteria to obtain an exhaustive sample for analysis. By including all available observations, one might reasonably view such analyses as population studies. In this paper, I propose a structure and provide related interpretive guidance for conducting intentional, focused replications of population analyses defined by such sample selection criteria.

Keywords: Replication; Similarity assessment; Archival data analysis (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S1094406021500128
Access to full text is restricted to subscribers

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:wsi:tijaxx:v:56:y:2021:i:03:n:s1094406021500128

Ordering information: This journal article can be ordered from

DOI: 10.1142/S1094406021500128

Access Statistics for this article

The International Journal of Accounting (TIJA) is currently edited by A. Rashad Abdel-khalik

More articles in The International Journal of Accounting (TIJA) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().