theroies

theroies

When identifying a theory or model to guide health promotion or disease prevention programs, it is important to consider a range of factors, such as the specific health problem being addressed, the population(s) being served, and the contexts within which the program is being implemented. Health promotion and disease prevention programs typically draw from one or more theories or models.
There are several theories and models that support the practice of health promotion and disease prevention. Theories and models are used in program planning to understand and explain health behavior and to guide the identification, development, and implementation of interventions.

The chapter discusses the “received view” on the role of theories in empirical science. It discusses those theories that are to be thought of as “partially interpreted calculi” in which only the “observation terms” are “directly interpreted”. The view divides the nonlogical vocabulary of science into two parts: observation terms and theoretical terms. This division of terms that belongs to two classes is allowed to generate a division of statements into two classes, such as observational statements and theoretical statements. A scientific theory is conceived of as an axiomatic system that may be thought of as initially uninterpreted and that gains empirical meaning as a result of a specification of meaning for the observation terms alone. It should be noted that the dichotomy under discussion in the chapter is intended as an explicative not a stipulative one. That is, the words “observational” and “theoretical” are not having arbitrary new meanings bestowed upon them; instead, pre-existing uses of these words (especially in the philosophy of science) are presumably being sharpened and made clear.
Previous chapter in volume
Next chapter in volume

Information systems researchers use a bevvy of research methods and theoretical lenses to explore phenomena of interest. The following links will take you to sites that have been developed by members of the IS community who are experts in particular areas.
AIS offers a variety of different resources and services intended to help you as you complete your research in information systems, including a review of different of research methods, journal lists and rankings, and more.

References:

http://www.sciencedirect.com/science/article/pii/S0049237X09705919
http://aisnet.org/page/ISResearch
http://www.retailmenot.com/view/yourtheorie.com