We propose a general discrete-time model for multilevel event history data. The model is developed for the analysis of longitudinal repeated episodes within individuals where there are multiple states and multiple types of event (competing risks) which may vary across states. The different transitions are modelled jointly to allow for correlation across transitions in unobserved individual risk...

This study contrasts the effects of two types of ethnically heterogeneous groups on their enjoyment of and performance on an interactive creative task. The majority of each group was composed of either ethnic minorities or Caucasians. Analyses were conducted using hierarchical linear modeling where appropriate. Teams composed mostly of ethnic minorities rated working with the group to be more e...

In the context of MULTI 2017, and as a means of fostering discussion and test the limits of the paradigm, the Bicycle Challenge [1] was proposed to tackle the issue that multilevel modelling still lacks a strong conceptual basis, consensus and focus. This paper presents one solution to that challenge, i.e. creating a multilevel hierarchy that represents the domain of bicycles as products compos...

The availability of both direct performance feedback at the organization level and vicarious information at the industry level raises the question of their relative impact, as well as potential multilevel interactions. Prior research suggests that an organization’s own experience after adopting an innovative managerial practice tends to replace information collected by observing other organizat...

Information systems (IS) researchers often explore complex phenomena that result from the interplay between technologies and human actors; as such, IS research frequently involves constructs found at multiple levels of analysis, although rarely recognized as such. In fact, our targeted review of the IS literature found minimal explicit consideration of the issues posed by multilevel research al...

This article introduces some applications of multilevel modeling for research on art and creativity. Researchers often collect nested, hierarchical data— such as multiple assessments per person—but they typically ignore the nested data structure by averaging across a level of data. Multilevel modeling, also known as hierarchical linear modeling and random coefficient modeling, enables researche...

Testing multilevel mediation using hierarchical linear modeling (HLM) has gained tremendous popularity in recent years. However, potential confounding in multilevel mediation effect estimates can arise in these models when within-group effects differ from between-group effects. This study summarizes three types of HLM-based multilevel mediation models, and then explains that in two types of the...

This paper presents the most important multilevel inverter topologies like diode-clamped inverter (neutral-point clamped), capacitor-clamped (flying capacitor), and cascaded multicell( H-Bridge ) with separate dc sources. A Comparison of 5-level hybrid cascaded inverter with PWM method, 5 level diode clamped inverter & 5 level capacitor coupled inverter is also presented in this paper. This pap...

This paper aims at developing a multilevel fuzzy decision support model for urban rail transit planning schemes in China under the background that China is presently experiencing an unprecedented construction of urban rail transit. In this study, an appropriate model using multilevel fuzzy comprehensive evaluation method is developed. In the decision process, the followings are considered as th...

Multilevel inverters have an attracted a great deal of attenuation in medium voltage and high power application. Due to their lower switching losses, EMI, high efficiency. Among the several multilevel inverters topology it is more attractive due to the simplicity of control. This paper proposes to CHMLI output voltage level is increase to reduced total harmonic Distortion. Hence the paper mainl...