6. INTERNATIONAL CONGRESS ON CONTEMPORARY SCIENTIFIC RESEARCH
NONRECURSIVE MODELS: GENERAL PROPERTIES
In scientific studies, linear relationships between the characteristics or variables that the researcher is interested in are tried to be explained based on causality or cause-effect relationship in many cases. Correlation and regression coefficients can be used to determine the causality relationship between variables, however when it is desired to determine direct and indirect effects, the correlation coefficient is insufficient. Regression analysis, known as path analysis in short, is performed with standardized variables to attempt to determine the causality or cause-effect relationship between variables at the level of direct and indirect effects. In the constructing of the path diagram, which is the preliminary step of path analysis; models are examined under two subheadings as recursive models and non-recursive models according to the causality pattern or causeeffect relationship structure defined between variables. In this study, recursive models are briefly mentioned and the general features of non-recursive models are explained.
