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The Logic of Causal Investigations

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A Companion to Research in Education

Abstract

A familiar quest in the realms of educational research is to seek and produce knowledge that is ‘beyond reasonable doubt’. Framed as a journey and marked by challenges of ‘burden of proof’, it has become closely associated with a logic that argues the validity and superiority of a research design by applying a randomized controlled trial. But what is actually required if research about education is to be generalized beyond the task and context to hand? Is establishing the theoretical basis and limits of inference non-negotiable? Indeed, do the standards of evidence in educational research always require claims that are testable and verifiable by others, or when might some other consideration, criterion, or quest be more apt? Such issues are widely debated in the literatures on educational research and evaluation, attracting particular scrutiny when a ‘gold standard’ is proposed for what to prefer – and fund – as studies of education. The chapter illustrates why critical observation and logical reasoning matter in interpreting the quality and usability of particular methodologies and findings as much as in designing a research strategy, especially when due consideration of theoretical, methodological and practical constraints is absent or muddled in accounts of research design and meta-analysis. The chapter then, raises the value of pausing: at recognition of configuration rather than defaulting to the pursuit of causation amongst factors, and at the challenges presented by elevating certainty to the status of sine qua non for legitimate, research-based knowledge in education. In short, monolithic research strategies are found wanting; while the promise and prospect of moving beyond impasse between ‘warring parties’ – such as via mixed methods – are also considered.

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Notes

  1. 1.

    For an example of observations that, mediated by a theory, demonstrated causation, think of the observations of the solar eclipse of 1919 that showed sunlight was refracted by gravity as predicted by the general theory of relativity.

  2. 2.

    The eight types of causation are based on: (i) direct observation, e.g., visual, affective, tactile; (ii) reported observation, e.g., case studies; (iii) eliminative inference, e.g., autopsy, engineering breakdown; (iv) theoretical inference, based on use of an analogy/theory, e.g., physics, geology, astronomy; (v) direct manipulation e.g., in the kitchen and lab; (vi) ‘natural experiments’ e.g., meteorology, epidemiology; (vii) quasi-experimentation, e.g., medicine, pedagogy; (viii) RCTs e.g., pharmacology.

  3. 3.

    My thanks to Ryoh Sasaki for raising some problems with an earlier draft of this overview that I hope to have resolved in this version.

  4. 4.

    Robert Brinkerhoff makes this case very well in his book, The Success Case Method (2003) in the course of defending his high quality case study-based approach to causation.

  5. 5.

    “A critical appraisal of the case against using experiments to assess school (or community) effects” Education Next, 2000, Hoover Institute, Stanford. This paper of his represents by far the most sophisticated support for the RCT position in print, and for that reason I focus on it frequently in this discussion.

  6. 6.

    For example, in “Causes, Connections, and Conditions in History” in Philosophical Analysis and History ed. W. Dray (1966).

  7. 7.

    There is a huge online literature of debates about whether pre/post testing provides a valid basis for such conclusions, one of the reasons I use this example. Google Richard Hake (and gain scores), to see the whole debate well-referenced by the leading proponent of the commonsense position here, which is of course that pre/post works fine for any worthwhile effects if done carefully.

References

  • Brinkerhoff RO (2003) The success case method. Berrett-Koehler, San Francisco

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  • Cook TD (2000) A critical appraisal of the case against using experiments to assess school (or community) effects. Education Next, Hoover Institute, Stanford

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  • Cook TD, Campbell DT (1979) Quasi-experimentation. Houghton Mifflin, Boston

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  • Scriven M (1966) Causes, connections and conditions in history. In: Dray W (ed) Philosophical analysis and history. Harper and Row, New York, pp 238–264

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Correspondence to Michael Scriven .

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© 2014 Springer Science+Business Media Dordrecht

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Scriven, M. (2014). The Logic of Causal Investigations. In: Reid, A., Hart, E., Peters, M. (eds) A Companion to Research in Education. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6809-3_21

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