Ideodynamic predictions for the evolution of habits
Bibliographic Data
| ID | 10142246 |
|---|---|
| Authors | David P Fan (University of Minnesota, corresponding author) |
| Year | 1985 |
| Volume | 11 |
| Issue | 3 |
| Pages | 265-281 |
| Publication date | 1985-06-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Mathematical Sociology (JOURNAL) |
| Journal identifiers | ISSN: 0022-250X • E-ISSN: 1545-5874 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/0022250x.1985.9989992 |
| OpenAlex | W2049455823 |
| Language | EN |
| Citations received | 2 |
| References cited | 13 |
A dynamic mathematical model is proposed to explain how information can influence the fraction of the population with a particular habit. The model includes several important factors mentioned by Fishbein and Ajzen, and Bentler and colleagues: (1) intention is central to behavior, (2) volitional deficiency means that only a fraction of those with the intention actually carry out the behavior, (3) normative influences can affect behavior and can be modeled in analogy to the mathematical formulation used for the diffusion of innovations, (4) information from a previous behavior can influence a behavior change so that recidivism for a behavior like quitting of smoking is dependent on the previous habit of smoking, and (5) persuasive communications from mediated sources also can influence intent and behavior. All the influences are incorporated in a time dependent manner. A procedure is proposed for testing the model for a habit like smoking using the results of a simple four question survey administered once. If validated, the theory can then be used to predict the results of advertising campaigns after the end of the campaign
Affect (linguistics · Analogy · Cognitive psychology · Econometrics · Fraction (chemistry · Habit · Normative · Population · Recidivism · Test (biology · Theory of planned behavior · Artificial Intelligence · Clinical Psychology · Communication · Complex Network Analysis Techniques · Computer Science · Demography · Innovation Diffusion and Forecasting · Mathematics · Opinion Dynamics and Social Influence · Psychology · Social Psychology
A mathematical theory of social change
Longitudinal research on drug use
Models of attitude–behavior relations.
Multivariate Analysis with Latent Variables
Recidivism and self-cure of smoking and obesity
Recidivism and self-cure of smoking and obesity
A comparison of two latent variable causal models for adolescent drug use
On the usefulness of latent variable causal modeling in testing theories of naturally occurring events (including adolescent drug use)
Stochastic evolution of a nonlinear model of diffusion of information
Ideodynamics
| Unique citing works | 2 |
|---|---|
| Citations per year | 0.05 |
| Citation span | 1989 - 2003 (15) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 2 |