causal modelling

causal modelling

a family of techniques of statistical modelling aimed at providing specification and testing of the causal relations underlying correlations between a number of variables. Based on the work of Herbert Simon (1957a), and pioneered in sociology especially by Hubert Blalock (1961), the approach requires the researcher to formulate and test successive theoretical models of the causal relations between variables, seeking a model which best fits the data. Included under the general category of causal modelling are PATH ANALYSIS and LOG LINEAR ANALYSIS. Causal modelling has been criticized as dependent on initial assumptions which cannot be regarded as fully tested by the data. Technical sophistication may disguise this. Nonetheless, causal modelling is important in making possible a more satisfactory exploration of causal relations than is achieved in simpler forms of correlation analysis.
References in periodicals archive ?
Friston, "Dynamic causal modelling of evoked responses in EEG/MEG with lead field parameterization," NeuroImage, vol.
Dynamic causal modelling. NeuroImage 2003; 19(4): 1273-1302.
These metacognitive knowledge measures were combined to create a latent variable (META) for the causal modelling. We also created a variable named total reading comprehension (READCOM) by combining the relevant z-scores on the pupils' reading comprehension tests (TORCH, r =.69, p <.01)) and the teacher judgments on the 6 subscales (TEACHJUDGE).
They used dynamic causal modelling, a mathematical method developed by several members of the team, to create a computer model showing the best guess of what inner-brain activity could have yielded the EEG.
Understanding developmental disorders: A causal modelling approach.
Because of this, each causal modelling approach, including System Dynamics, must assume this determinate character.
There is no expectation in causal modelling that a joint effect will render its different causes probabilistically independent of each other.(10) And as we saw before, there is nothing much to the difference between three dichotomous causes and one eight-state cause.
(1980), Multivariate analysis with latent variables: Causal modelling. Annual Review of Psychology, 31: 419-517.