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...

In this study we explain extreme right-wing voting behaviour in the countries of the European Union and Norway from a micro and macro perspective. Using a multidisciplinary multilevel approach, we take into account individual-level social background characteristics and public opinion alongside country characteristics and characteristics of extreme right-wing parties themselves. By making use of...

The purpose of this study was to examine the relations among conflict management styles and target and instigator incivility and job performance, organizational commitment, and turnover intent. Data from 270 employees suggested that experiencing and instigating uncivil behavior occurred frequently. Using an integrative conflict management style was positively associated with job performance and...

The article uses confirmatory factor analysis (CFA) as a template to explain didactically multilevel structural equation models (ML-SEM) and to demonstrate the equivalence of general mixed-effects models and ML-SEM. An intuitively appealing graphical representation of complex ML-SEMs is introduced that succinctly describes the underlying model and its assumptions. The use of definition variable...

A blended learning model was developed to enhance lecture delivery in a large, diverse introductory psychology unit, introducing the use of an online, personalized learning system for lecture preparation and using lecture time to extend students’ understanding. Changes to the assessment included diagnostic, formative and summative online quizzes. Using hierarchical multiple regression to accoun...

The purpose of the study was to investigate the determinants of intention to adopt 4G mobile services and to understand if gender is a moderator in the adoption of 4G mobile services. Data collected from 466 respondents in India were tested against the research model using Correlation and Hierarchical regression analysis. The proposed model was partially supported by the empirical data. However...

This study suggests that individuals’ technology adoption decisions in the context of online collaboration tools are based on individual-level assessments of the technology, as well as on group-level attributes of the team with which one needs to work. Thus, a multilevel model of online collaboration technology adoption is proposed and tested, using hierarchical linear modeling techniques appli...