Path Analysis is a statistical technique used to explore causal connections between variables in complex models. It extends multiple regression analysis, allowing for the assessment of direct and indirect effects on dependent variables. Originating from the work of geneticist Sewall Wright, it employs path coefficients and diagrams to represent and test hypotheses. Its applications span across psychology, economics, sociology, and more, proving essential for empirical research and decision-making.
Show More
Path analysis is a statistical method used to examine the connections between variables in a hypothesized model
Direct and indirect effects of independent variables on dependent variables
Path analysis allows for the examination of both direct and indirect effects of independent variables on dependent variables
Path analysis is particularly useful in complex models that involve several variables interacting in a cause-and-effect framework
Path analysis is based on the principles of structural equation modeling, a comprehensive statistical approach for testing hypotheses about relationships among observed and latent variables
Path analysis uses path diagrams to visually represent the hypothesized relationships between variables
Path coefficients, represented by Greek letters, indicate the strength and direction of the influence between variables in path diagrams
Path analysis has its roots in the work of geneticist Sewall Wright in the early 20th century
Path analysis has expanded the scope of statistical analysis from simple bivariate relationships to complex multivariate contexts
Path analysis is used in a wide range of disciplines, such as psychology, economics, sociology, education, and health sciences, and has practical applications in fields such as education policy and marketing
00
Path Analysis vs. Multiple Regression
Path analysis extends multiple regression by examining direct/indirect variable effects and complex causal models.
01
Direct vs. Indirect Effects in Path Analysis
Direct effects are the influence of one variable on another; indirect effects are mediated by one or more intervening variables.
02
Application of Path Analysis in Educational Research
Used to assess how study habits, teacher feedback, and learning environment interact to affect student achievement.
