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Factors That Influence Cross-Validation Of Hierarchical Linear Models, Tracy Widman

Educational Policy Studies Dissertations

While use of hierarchical linear modeling (HLM) to predict an outcome is reasonable and desirable, employing the model for prediction without first establishing the model’s predictive validity is ill-advised. Estimating the predictive validity of a regression model by cross-validation has been thoroughly researched, but there is a dearth of research investigating the cross-validation of hierarchical linear models. One of the major obstacles in cross-validating HLM is the lack of a measure of explained variance similar to the squared multiple correlation coefficient in regression analysis.

The purpose of this Monte Carlo simulation study is to explore the impact of sample size, …