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...

This paper studies the effects of external economies of scale on households’ involvement in the non-farm sector. The focus of the paper is on the type of knowledge spill-overs that occur at the level of individuals; these relate to learning processes and non-market interactions. Nationally representative data on 8,100 households surveyed in 2006 and 2009 are used and unobserved heterogeneity an...

This article reviews the existing evidence on the relationship between class size and achievement for children in their Ž rst years of schooling. It then describes a large-scale longitudinal study of such children within English Local Education Authorities and presents results for achievement progress in literacy and mathematics during the reception year. Using a series of multilevel models, it...

A package of Lisp functions is described which implements a simple multi-level simulation toolkit, MLS. Its design owes a great deal to MIMOSE. MLS runs within Lisp-Stat. It offers a set of functions, macros and objects designed to make the specification of multi-level models straightforward and easy to understand. Lisp-Stat provides a Lisp environment, statistical functions and easy to use gra...

This study seeks to examine the relationship between innovation and knowledge in family versus non-family businesses with regard to performance. Data from 430 small and medium-sized enterprises were analyzed through hierarchical regression analysis, and innovation was found to be a significant factor in both family and non-family samples. However, knowledge in family firms was also found to be ...

Intelligent tutoring systems yield data with many properties that render it potentially ideal to examine using multi-level models (MLM). Repeated observations with dependencies may be optimally examined using MLM because it can account for deviations from normality. This paper examines the applicability of MLM to data from the intelligent tutoring system Writing-Pal using intraclass correlation...