विधियों की तुलना करें

	सशर्त प्रक्रिया विश्लेषण (मध्यस्थता का मॉडरेशन)	साधारण न्यूनतम वर्ग (OLS) समाश्रयण
क्षेत्र	कारणात्मक अनुमान	अर्थमिति
परिवार	Regression model	Regression model
उद्भव वर्ष	2018	2019
प्रवर्तक	Andrew F. Hayes (PROCESS framework); Preacher, Rucker & Hayes (moderated mediation)	Wooldridge (textbook treatment); classical least squares
प्रकार	Regression-based conditional process model	Linear regression
मौलिक स्रोत	Hayes, A. F. (2018). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach (2nd ed.). The Guilford Press. ISBN: 978-1462534654	Wooldridge, J. M. (2019). Introductory Econometrics: A Modern Approach (7th ed.). Cengage Learning. ISBN: 978-1337558860
उपनाम	moderated mediation, moderated mediation analysis, PROCESS model, Hayes PROCESS conditional process model	ordinary least squares, classical linear regression, linear regression, en küçük kareler regresyonu
संबंधित	5	5
सारांश	Conditional process analysis is Andrew F. Hayes's regression-based PROCESS framework (2018) that combines mediation and moderation in a single model, testing how an indirect effect changes across levels of a moderator. It quantifies conditional indirect and conditional direct effects and tests them with bootstrap confidence intervals.	Ordinary Least Squares is the classical linear regression method that explains a continuous outcome as a linear combination of predictors. It estimates the coefficients by minimising the sum of squared residuals, and under the Gauss-Markov assumptions these estimates are the best linear unbiased estimator (BLUE).