Related Experiment Video
Updated: Aug 18, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
Published on: September 27, 2019
A consumer's guide to causal modeling: Part II
1Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH 44106-4904.
Abstract:
Causal modeling is a widely used technique for specifying a system of relationships among theoretical constructs. However, there are cautions or limitations that must be considered with this technique. Consumers of research that uses causal modeling techniques must evaluate the model testing results on several levels before using the findings in future research or in practice. A good fit between the model and the data does not necessarily mean that all the relationships are as posited. For the researcher intending to use causal modeling in an appropriate study, the most serious limitation of the technique is the large number of subjects required for the analysis, resulting in expensive and logistically complex studies. However, given the nature of many of the phenomena of interest to nursing, causal modeling often proves to be a highly useful technique for knowledge development.
More Related Videos
Related Concept Videos
Clearance Models: Noncompartmental Models
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
Multicompartment Models: Overview
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
Mechanistic Models: Overview of Compartment Models
Mechanistic Models: Compartment Models in Individual and Population Analysis
Criteria for Causality: Bradford Hill Criteria - II
Causality in Epidemiology

