Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...
Two endemic problems face researchers in the social sciences (e.g., Marketing, Economics, Psychology, and Finance): unobserved heterogeneity and measurement error in ...
Structural equation modeling (SEM) encompasses such diverse statistical techniques as path analysis, confirmatory factor analysis, causal modeling with latent variables, and even analysis of variance ...
This paper contributes to the empirical research on corruption in three ways. From a methodological viewpoint, it applies partial least squares–structural equation modeling to estimate an index of ...
Kline, R. B. (2023). Principles and practice of structural equation modeling (5th ed.). Guilford Press. Kline, R. B. (2020). Becoming a behavioral science researcher ...
Latent factors are variables that cannot be observed directly but can be inferred from a set of observable variables. For example, in psychology, bad conduct (latent factor) can be measured by how ...
Interim analysis of the multicenter phase II HEDON trial evaluating pathological response to pre-operative docetaxel and docetaxel+trastuzumab (T) in locally advanced breast cancer (BR) stratified by ...
Statistical model infrastructures at financial institutions are often developed using a piecemeal approach to model building, in which different components of complex interrelated statistical models ...
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