David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
British Journal of Educational Studies 56 (3):323 - 339 (2008)
This paper considers the use of secondary data analysis in educational research. It addresses some of the promises and potential pitfalls that influence its use and explores a possible role for the secondary analysis of numeric data in the 'new' political arithmetic tradition of social research. Secondary data analysis is a relatively under-used technique in Education and in the social sciences more widely, and it is an approach that is not without its critics. Here we consider two main objections to the use of secondary data: that it is full of errors and that because of the socially constructed nature of social data, simply reducing it to a numeric form cannot fully encapsulate its complexity. However, secondary data also offers numerous methodological, theoretical and pedagogical benefits. Indeed by treating secondary data analysis with appropriate scepticism and respect for its limitations, by demanding that tacit assumptions about the unreliability of secondary data are applied equally to other research methods, and crucially by combining secondary data analysis with small-scale in-depth work, this paper argues for a return to prominence of secondary data analysis in its own right as well as becoming a central component of the new political arithmetic tradition of social research.
|Keywords||educational research secondary data analysis research methods political arithmetic|
No categories specified
(categorize this paper)
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
John H. Goldthorpe, A. H. Halsey, A. F. Heath, J. M. Ridge, Leonard Bloom & F. L. Jones (1982). Social Mobility and Class Structure in Modern Britain. Ethics 92 (4):766-768.
Citations of this work BETA
No citations found.
Similar books and articles
Christopher J. Cowton (1998). The Use of Secondary Data in Business Ethics Research. Journal of Business Ethics 17 (4):423-434.
Shawn W. Nicholson & Terrence B. Bennett (2009). Transparent Practices: Primary and Secondary Data in Business Ethics Dissertations. [REVIEW] Journal of Business Ethics 84 (3):417-425.
Stephanie Fullerton & Sandra Lee (2011). Secondary Uses and the Governance of De-Identified Data: Lessons From the Human Genome Diversity Panel. [REVIEW] BMC Medical Ethics 12 (1):16-.
Howard Harris (2001). Content Analysis of Secondary Data: A Study of Courage in Managerial Decision Making. [REVIEW] Journal of Business Ethics 34 (3-4):191 - 208.
Joan E. Sieber (1991). Openness in the Social Sciences: Sharing Data. Ethics and Behavior 1 (2):69 – 86.
Joan E. Sieber & Bruce E. Trumbo (1995). (Not) Giving Credit Where Credit is Due: Citation of Data Sets. Science and Engineering Ethics 1 (1):11-20.
A. D. Ritchie (1952). A Defence of Sense-Data. Philosophical Quarterly 2 (July):240-245.
Joe Giffels, Sara Vollmer & Stephanie Bird (2010). Editors' Overview: Topics in the Responsible Management of Research Data. Science and Engineering Ethics 16 (4):631-637.
Jeremy Sugarman (2004). Using Empirical Data to Inform the Ethical Evaluation of Placebo Controlled Trials. Science and Engineering Ethics 10 (1):29-35.
David E. Wright, Sandra L. Titus & Jered B. Cornelison (2008). Mentoring and Research Misconduct: An Analysis of Research Mentoring in Closed Ori Cases. Science and Engineering Ethics 14 (3):323-336.
E. Wright David, L. Titus Sandra & B. Cornelison Jered (2008). MentOring and Research Misconduct: An Analysis of Research mentOring in Closed Ori Cases. Science and Engineering Ethics 14 (3).
Leo A. Goodman, Statistical Magic and/or Statistical Serendipity: An Age of Progress in the Analysis of Categorical Data.
Todd Harris (2003). Data Models and the Acquisition and Manipulation of Data. Philosophy of Science 70 (5):1508-1517.
Sergi G. Costafreda (2012). Meta-Analysis, Mega-Analysis, and Task Analysis in fMRI Research. Philosophy, Psychiatry, and Psychology 18 (4):275-277.
Clark A. Chinn & William F. Brewer (1996). Mental Models in Data Interpretation. Philosophy of Science 63 (3):219.
Added to index2011-05-29
Total downloads14 ( #209,580 of 1,779,270 )
Recent downloads (6 months)1 ( #291,352 of 1,779,270 )
How can I increase my downloads?