Kline, R. B. (2023). Principles and practice of structural equation modeling (5th ed.). Guilford Press. Kline, R. B. (2020). Becoming a behavioral science researcher ...
Bayesian methods in Structural Equation Modeling (SEM) represent a paradigm shift in statistical analysis, integrating prior beliefs with empirical data to derive robust parameter estimates. This ...
Structural equation models are highly suited for evaluating ecosystem-level hypotheses, but to be effective, structural equation models need to be able to accommodate spatial and temporal data. Here, ...
A study among 101 librarians is reported that tests individual differences important to enhanced use of the Internet. Analysis of covariance, hierarchical regression, and structural equation modeling ...
R is a powerful open source programming environment primarily known for its statistical capabilities. In this course we will cover some advanced applications of R: distributed computing using the ...