Christoph G. Schuetz examines the conceptual modeling aspects of multilevel business processes without neglecting the implementation aspects. Furthermore, he investigates the advantages of hetero-homogeneous models for quantitative business process analysis. Multilevel models reflect the reality of many information systems. In this respect processaware information systems are no exception. Mult...

Currently, metaand multi-level modelling is gaining more and more attention. A natural, upcoming question is, how to extend existing two-level approaches to cover multi-levels. In this contribution, we extend the UML and OCL tool USE in order to describe multi-level models. We also apply the extension to demonstrate the usefulness of multi-level modelling for model querying and model quality as...

This study of the flow of online discussions examined how previous messages affected the current message along five dimensions: (1) evaluations (agreement, disagreement, or unresponsive actions); (2) knowledge content (contribution, repetition, or null content); (3) social cues (positive, negative, or none); (4) personal information (number of visits); and (5) elicitation (eliciting response or...

Empirical analyses of hierarchical data1 are important in various disciplines, but are most common to the social sciences. Until the 1980’s, when the method of multilevel modeling was introduced, researchers dealt with the problem of nested data in a variety of ways, none of which was completely effective or accurate. The method of hierarchical modeling, and softwares such as HLM or MLwiN, prov...

This article reviews Multilevel and Longitudinal Modeling Using Stata, by Rabe-Hesketh and Skrondal.

This article proposes and evaluates a method to test for mediation in multilevel data sets formed when an intervention administered to intact groups is designed to produce change in individual mediator and outcome variables. Simulated data of this form were used to compare ordinary least squares (OLS) and two multilevel estimators of the mediated effect. OLS and multilevel standard error approx...

262 1 Longitudinal studies provide important sources of information when investigating how differences in various national and regional school policies, practices and compositional characteristics relate to differences in student achievement over a period of time. Therefore, it is not surprising that the use of growth modeling techniques in educational fields has rapidly increased. Recent years...

To construct CFA, MCFA, and maximum MCFA with LISREL v.8 and below, we provide iMCFA (integrated Multilevel Confirmatory Analysis) to examine the potential multilevel factorial structure in the complex survey data. Modeling multilevel structure for complex survey data is complicated because building a multilevel model is not an infallible statistical strategy unless the hypothesized model is cl...