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The linear stages of growth model is an economic model which is heavily inspired by the Marshall Plan which was used to revitalize Europe's economy after World War II. It assumes that economic growth can only be achieved by industrialization. Growth can be restricted by local institutions and social attitudes, especially if these aspects ...
Growth curve (statistics) Table of height and weight for boys over time. The growth curve model (also known as GMANOVA) is used to analyze data such as this, where multiple observations are made on collections of individuals over time. The growth curve model in statistics is a specific multivariate linear model, also known as GMANOVA ...
The Rostovian take-off model (also called "Rostow's Stages of Growth") is one of the major historical models of economic growth. It was developed by W. W. Rostow. The model postulates that economic modernization occurs in five basic stages, of varying length. Traditional society; Preconditions for take-off; Take-off; Drive to maturity
Latent growth modeling is a statistical technique used in the structural equation modeling (SEM) framework to estimate growth trajectories. It is a longitudinal analysis technique to estimate growth over a period of time. It is widely used in the field of psychology, behavioral science, education and social science.
Multilevel models (also known as hierarchical linear models, linear mixed-effect model, mixed models, nested data models, random coefficient, random-effects models, random parameter models, or split-plot designs) are statistical models of parameters that vary at more than one level. [1] An example could be a model of student performance that ...
Endogenous growth theory holds that investment in human capital, innovation, and knowledge are significant contributors to economic growth. The theory also focuses on positive externalities and spillover effects of a knowledge-based economy which will lead to economic development. The endogenous growth theory primarily holds that the long run ...
One application of multilevel modeling (MLM) is the analysis of repeated measures data. Multilevel modeling for repeated measures data is most often discussed in the context of modeling change over time (i.e. growth curve modeling for longitudinal designs); however, it may also be used for repeated measures data in which time is not a factor. [1]
e. In statistics, linear regression is a statistical model which estimates the linear relationship between a scalar response and one or more explanatory variables (also known as dependent and independent variables ). The case of one explanatory variable is called simple linear regression; for more than one, the process is called multiple linear ...