Helmholtz Lecture - 2023-02-10 - Prof. Denny Borsboom
Action | Key |
---|---|
Play / Pause | K or space |
Mute / Unmute | M |
Toggle fullscreen mode | F |
Select next subtitles | C |
Select next audio track | A |
Show slide in full page or toggle automatic source change | V |
Seek 5s backward | left arrow |
Seek 5s forward | right arrow |
Seek 10s backward | shift + left arrow or J |
Seek 10s forward | shift + right arrow or L |
Seek 60s backward | control + left arrow |
Seek 60s forward | control + right arrow |
Decrease volume | shift + down arrow |
Increase volume | shift + up arrow |
Decrease playback rate | < |
Increase playback rate | > |
Seek to end | end |
Seek to beginning | beginning |
Information on this media
Title: Theory Construction Methodology
Abstract: Several authors have lamented the lack of systematic theory formation in scientific psychology, and some have gone as far as to pinpoint the paucity of theory as a cause of the reproducibility crisis (Borsboom, 2013). However, little practical guidance exists on how to remedy this situation, partly because theory formation is regarded as requiring divine inspiration rather than skill. In this talk, I will argue that this viewpoint is incorrect: theory formation is a skill that can be learned, practiced, and taught in university curricula. Based on Haig's (2006) abductive theory of method, I sketch the outlines of Theory Construction Methodology (TCM): a practical sequence of steps that can be followed to construct explanatory theories. TCM consists of five steps. First, the theorist identifies a domain of empirical phenomena that the theory should accommodate. Second, through analogical abduction and related approaches, the theorist constructs a proto-theory: a loose set of suggestive principles that are suspected to hold explanatory force with respect to the empirical phenomena identified in the previous step. Third, the proto-theory is used to construct a formal model. The formal model can be either a set of model equations that encode explanatory principles, a graphical representation of causal relationships, or a (possibly agent-based) simulation model. Fourth, the theorist develops the explanatory force of the model. This is done by representing the empirical phenomena under investigation in terms of the formal model chosen, and researching whether the model indeed reproduces these phenomena accurately. Fifth, the theorist studies the overall adequacy of the theory. In this step, the theorist evaluates whether the identified phenomena are indeed reproduced faithfully, whether the explanatory principles are sufficiently simple and substantively plausible to generate a parsimonious yet convincing explanation, and whether the theory has sufficient testable consequences to allow for (partial) falsification. Normally, an initially suggested theory would not achieve all these virtues in a single run of TCM, so the theorist would repeatedly apply the methodology until the theory is
sufficiently adequate. This gives rise to a theory construction cycle, which is similar to the well-known empirical cycle (De Groot, 1969). I explain the process with recent examples of theory formation in which key elements of TCM were successfully implemented, including the mutualism model of intelligence (Van der Maas et al., 2006), the network theory of mental disorders (Borsboom, 2017), and recent computational models of panic disorder (Robinaugh et al., 2019). Additionally, I propose an outline for a university curriculum that can systematically educate psychologists in the process of theory formation. Recognizing that theory development is indeed a skill that can be taught and practiced, we argue that psychology should work to educate a new generation of researchers that are equipped to develop theoretical psychology.
References
Borsboom, D. (2013). Theoretical amnesia. Open Science Collaboration Blog (November 20).
Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16, 5-13.
Other media in the channel "Helmholtz Institute"
- 13 views, 13 this year, 13 this monthHelmholtz Lecture - 08 November 2024 - Prof Anil SethNovember 8th, 2024
- 6 views, 6 this year, 1 this monthHelmholtz Lecture - 2024-1-26 - Prof. Todd BraverJanuary 29th, 2024
- 9 views, 9 this yearHelmholtz Lecture – 2023-12-08 – Prof. Herta FlorDecember 8th, 2023
- 16 views, 7 this yearHelmholtz Lecture - 2023-10-27 - Prof. Henrik EhrssonOctober 27th, 2023
- 9 views, 6 this yearHelmholtz Lecture - 2023-04-14 - Prof. Sanne SchagenApril 15th, 2023
- 11 views, 4 this yearHelmholtz Lecture - 2023-03-31 - Prof. Paul BaysMarch 31st, 2023