This model was originally created to study independence or dependence in multiple case study analysis. The aim of the model is to define when the researcher’s assumptions of dependence or independence on the cases selected for the study affect the understanding of these cases.
The example that is featured in the model is that of the diffusion of innovation. In fact, the model is actually about firms that create and/or adopt a — not better specified — innovation. The assumptions on dependence or independence of cases should have an impact on the study of how innovation diffuses. Under what circumstances the assumptions of the researcher affect the analysis of the selected cases is the aim of this simulation.
This new version of the model includes additional lines of code to test what happens to the diffusion of innovation among agents when the links are indirect such as in the case of exposure to advertising.
Besides the model (NetLogo, v6.1), the files attached include sample output data (csv), a document with detailed information on the model with graphs and regression models based on a specified configuration of parameters, and an image.
Release Notes
This is version 3.1. (The original model 3.0 uses NetLogo 3D)
Associated Publications
This model refers to the article ``Dependence in Case Study Comparative Research: Theory building, degree of dependence, and validity’’ that has been accepted for publication in Sociological Methods & Research.
This release is out-of-date. The latest version is
2.0.0
MCR Model 1.9.0
Submitted byDavide SecchiPublished Jan 23, 2021
Last modified Jan 23, 2021
This model was originally created to study independence or dependence in multiple case study analysis. The aim of the model is to define when the researcher’s assumptions of dependence or independence on the cases selected for the study affect the understanding of these cases.
The example that is featured in the model is that of the diffusion of innovation. In fact, the model is actually about firms that create and/or adopt a — not better specified — innovation. The assumptions on dependence or independence of cases should have an impact on the study of how innovation diffuses. Under what circumstances the assumptions of the researcher affect the analysis of the selected cases is the aim of this simulation.
This new version of the model includes additional lines of code to test what happens to the diffusion of innovation among agents when the links are indirect such as in the case of exposure to advertising.
Besides the model (NetLogo, v6.1), the files attached include sample output data (csv), a document with detailed information on the model with graphs and regression models based on a specified configuration of parameters, and an image.
Release Notes
This is version 3.1. (The original model 3.0 uses NetLogo 3D)
This model refers to the article ``Dependence in Case Study Comparative Research: Theory building, degree of dependence, and validity’’ that has been accepted for publication in Sociological Methods & Research.
Create an Open Code Badge that links to this model more info
This model has not been reviewed by CoMSES Net and should be independently reviewed to
meet the Open Code Badge guidelines.
You can use the following HTML or Markdown code to create an Open Code Badge that links to
version 1.9.0
of this computational model.
This website uses cookies and Google Analytics to help us track user engagement and improve our site. If
you'd like to know more information about what data we collect and why, please see
our data privacy policy. If you continue to use this site, you consent to
our use of cookies.