Sentence examples for multilevel modeling is from inspiring English sources

Multilevel modeling is a useful means of accounting for this problem because it allows for dealing with dependencies at different levels.

Multilevel modeling is a generalized form of linear regression used to analyze variance in experimental outcomes predicted by both individual (within-participants) and group (between-participants) variables.

Multilevel modeling is an excellent way to analyze nested or clustered data of the type commonly collected through investigations into the linkages between psychological functioning and relationship processes.

According to Kreft and De Leeuw (1998), Raudenbush and Bryk (2002) and Snijders and Bosker (1999), multilevel modeling is the method of choice when dealing with cross-level effects.

Multilevel modeling is appropriate for analyzing clustered and longitudinal data.

Multilevel modeling is required because the burst data consists of repeated observations nested within persons.

Multilevel modeling was used for analyses.

The rationales for using a multilevel modeling were the following.

Results of multilevel modeling are shown in Table  3.

Multilevel modeling was conducted in MLwiN version 2.19 (Centre for Multilevel Modeling, University of Bristol, U.K).

Mixed models and multilevel modeling are suitable for analyzing CRP longitudinal data.