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Research Methods and Theory

I find it helpful to think in terms of two fundamentally different kinds of knowledge that we may want to advance through our research:

  • that which describes what is (either causal relationships or natural processes)

  • that which informs how to accomplish goals (usually called methods).

I refer to these as descriptive theory and design theory, respectively.  

 

Each of these two kinds of knowledge requires different criteria for judging its quality.  Descriptive theory is judged by its truthfulness, whereas design theory is judged by its usefulness.  There are usually many ways to accomplish a goal.  Saying one is more truthful than another is not helpful. Saying one is more useful than another is helpful.  Truthfulness is assessed by the validity of the descriptive theory.  Usefulness is assessed by the preferability of the design theory or methods.

A second point about the knowledge we want to advance through our research is that it is situational.  For descriptive theory, the effects that we observe typically vary from one situation to another.  Even for something as clear cut as the law of gravity, the speed (or acceleration) at which an object will fall depends on such situational factors as the density of the object and the density of the medium (usually air) through which it is falling.  For design theory, the preferred method typically varies depending on a wide variety of situational factors, including the values by which we choose to judge preferability and a wide variety of "environmental" factors (a systems theory term) that influence the results of the methods.  In learning contexts, those environmental factors typically include the nature of the learner, the content, the context, and the development constraints, as we describe in Chapter 1 of Volume III of Instructional-Design Theories and Models.

Since education (and training) is a profession, design theory is far more useful than descriptive theory.  Our interest is in designing educational systems and instructional systems.  So our research should seek those methods that are preferable to other methods under different situations.  

But there is a third important point about design theory.  It is related to the stage of development of the design theory or method.  All technologies, whether hard (equipment) or soft (methods) – and indeed all systems – undergo a process of development which initially takes a long time to make small improvements in the preferability of the theory/method/technology/ system.  (To simplify language, I'll use "method" to refer to all of them.)  After a while, improvements start happening quite rapidly until the pace of improvements levels off, and an "upper limit" is approached, creating an S-curve (see figure on the right).

This is very important for researchers, because, if the method you are researching is low on its S-curve (that is, it's in the early stages of development), then "research to prove" might find that it is out-performed by an older method that is at the top of its S-curve, leading to rejecting any further development of the new method that could well have ended up superior to the old method.  "Research to improve" is far more useful for a young method than is "research to prove."​  (See Honebein & Reigeluth, 2020.)

In sum, for those of us interested in improving education or training, our research should:

  1. be focused on improving design theory, which means we should be looking at usefulness rather than truthfulness, so we should be concerned with preferability rather than validity,

  2. recognize and document the situational factors present in your study, and try to identify the ones that have the most impact on the preferability of the method,

  3. if you are researching a relatively new method, be focused on research to improve the method rather than research to prove it is better than an alternative method.

 

Research to improve is often called design-based research or formative research.  And the results of that research should be formulated into design theories, which not only describe a method, but also indicate the situations under which it is likely preferable to other known methods.  Design theories are highly useful to practitioners, in contrast to descriptive theories, which are mostly useful to scientists and researchers.  

 

The guidance I have developed for designing formative research studies can be found in the chapters listed below, and guidance for building design theories can be found in those on the right.

Guidance for Conducting Formative Research

Honebein, P., & Reigeluth, C.M. (2020).  The instructional theory framework appears lost. Isn’t it time we find it again?  Revista de Educación a Distancia, 20(64). Published Sep 30, 2020. DOI: 10.6018/red.405871.

Reigeluth, C. M., & An, Y. J. (2009). Theory building (Chapter 17, pp. 365-387). In C. M. Reigeluth & A. A. Carr-Chellman (Eds.), Instructional-design theories and models: Building a common knowledge base (Vol. III, pp. 365-386). New York: Routledge.

Reigeluth, C. M., & Frick, T. W. (1999). Formative research: A methodology for improving design theories. In C. M. Reigeluth (Ed.), Instructional-Design Theories and Models: A New Paradigm of Instructional Theory (Vol. II). Mahwah, NJ: Lawrence Erlbaum Associates.

The Ends of Research 

The purpose of research on education (and training) is to improve its quality.  It is to provide guidance to practitioners. That kind of knowledge is what we call instructional-design theory.  The four volumes of Instructional-Design Theories and Models provide many examples of instructional-design theories (or just "instructional theories").  Several chapters in those volumes also provide guidance for building and improving instructional theories.  

I recommend that all researchers in the fields of education and training focus their research on improving existing instructional theories or developing new ones (new methods). Below under "Guidance for Building Design Theory" are the publications that can help you to do so.

S-Curve.png

The S-curve of development for a method or technology

Guidance for Building Design Theory

 

Honebein, P.C., & Reigeluth, C.M. (2022).  How do we solve a problem like media and methods?  In R. West & H. Leary (Eds.), Foundations of learning and instructional design technology (2nd ed.). https://edtechbooks.org/foundations_of_learn/also_32_media_method

 

Honebein, P., & Reigeluth, C.M. (2021).  To prove or improve, that is the question: The resurgence of comparative, confounded research between 2010 and 2019.  Educational Technology Research and Development, 69, 465-496.

Honebein, P.C., & Reigeluth, C.M. (2020).  Making good design judgments via the instructional theory framework.  In J.K. McDonald & R.E. West (Eds.), Design for learning: Principles, processes, and praxis (1st ed.).  EdTech Books.

Honebein, P., & Reigeluth, C.M. (2020).  The instructional theory framework appears lost. Isn’t it time we find it again?  Revista de Educación a Distancia, 20(64). Published Sep 30, 2020. DOI: 10.6018/red.405871.

Reigeluth, C.M., & Carr-Chellman, A.  (2009).  Understanding instructional theory (Chapter 1, pp. 3-26).  In C. M. Reigeluth & A. Carr-Chellman (Eds.), Instructional-Design Theories and Models, Volume III: Building a Common Knowledge Base.  New York: Routledge.

Reigeluth, C.M., & Carr-Chellman, A.  (2009).  Situational principles of instruction (Chapter 4, pp. 57-71).  In C. M. Reigeluth & A. Carr-Chellman (Eds.), Instructional-Design Theories and Models, Volume III: Building a Common Knowledge Base.  New York: Routledge.

Reigeluth, C. M., & An, Y. J. (2009). Theory building (Chapter 17, pp. 365-386). In C. M. Reigeluth & A. A. Carr-Chellman (Eds.), Instructional-design theories and models: Building a common knowledge base (Vol. III, pp. 365-386). New York: Routledge.

 

Reigeluth, C.M.  (1999).  What is instructional-design theory and how is it changing? (Chapter 1, pp. 5-29).  In C.M. Reigeluth (Ed.), Instructional-Design Theories and Models: A New Paradigm of Instructional Theory.  (Volume II).  Hillsdale, NJ: Lawrence Erlbaum Assoc.

Reigeluth, C.M. (Nov. 1984).  The evolution of instructional science: Toward a common knowledge base.  Educational Technology, 24(11), 20-26.

Reigeluth, C.M. (1983).  Instructional design: What is it and why is it?  In C.M. Reigeluth (Ed.), Instructional-Design Theories and Models: An Overview of their Current Status.  Hillsdale, N.J: Erlbaum Associates.

Reigeluth, C.M., & Merrill, M.D. (March, 1979).  Classes of instructional variables.  Educational Technology, 19(3), 5-24.

Reigeluth, C.M., Bunderson, C.V., & Merrill, M.D. (1978).  What is the design science of instruction?  Journal of Instructional Development, 1(2), 11-16.

Reigeluth, C.M., & Merrill, M.D. (1978).  A knowledge base for improving our methods of instruction.  Educational Psychologist, 13, 57-70.  DOI: 10.1080/00461527809529195

 

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