A parallel element-by-element ,nultilevel strategy is developed and applied to two nonlinear, coupled PDE system.•. Spectral (p) finite elements are used to discretize the lems and the multilevel solution strategy uses projections between bases of different degree (level). The projection methods for the p-multilevel schemes are developed and analyzed for Lagrange and hierarchic bases. The appro...

This paper provides an introduction to specifying multilevel models using PROC MIXED. After a brief introduction to the field of multilevel modeling, users are provided with concrete examples of how PROC MIXED can be used to estimate (a) two-level organizational models, (b) two-level growth models, and (c) three-level organizational models. Both random intercept and random intercept and slope m...

This study was conducted to explore the effects of two countries model comparison program in Taiwan and Singapore in TIMSS database. The researchers used Multi-Group Hierarchical Linear Modeling techniques to compare the effects of two different country models and we tested our hypotheses on 4,046 Taiwan students and 4,599 Singapore students in 2007 at two levels: the class level and student (i...

Purpose – The aim of this paper is to clarify distinct aspects of firm culture, delineate its effects on performance outcomes, and to examine culture intensity on theoretic grounds with attention to its effects and limits. Design/methodology/approach – The study analyzes a data set of 2,657 individual cases that are empirically aggregated into 302 organizational units. Its operationalization of...

Observation competence plays a fundamental role in outdoor scientific investigation. The computerized concept mapping technique as a Mindtool has shown the potential for enhancing meaningful learning in science education. The purposes of the present study are to develop a concept map integrated mobile learning design for ecology observation and to examine the implementation effect for elementar...

This study aims to empirically test the impact of the Motivation-Ability-Opportunity(MAO) model on knowledge work. We propose that knowledge work is a function of employees’ motivation, ability and opportunity. In this regard, the aim is to provide empirical support to explain the effects of motivation, ability and opportunity on knowledge-work, which we defined as a knowledge-centered behavior...

This tutorial aims to introduce Hierarchical Linear Modeling (HLM). A simple explanation of HLM is provided that describes when to use this statistical technique and identifies key factors to consider before conducting this analysis. The first section of the tutorial defines HLM, clarifies its purpose, and states its advantages. The second section explains the mathematical theory, equations, an...

Multiple regression is a powerful set of methods for examining specific scientific hypotheses and relationships among experimental, quasiexperimental, and nonexperimental data. Typically, multiple regression is used as a data-analytic strategy to explain or predict a criterion (dependent) variable with a set of predictor (independent) variables. Wampold and Freund (1987) provided an important a...

Advancements in communication technologies continue to support the development of geographically-distributed teams. Yet as this practice grows, managers and staff remain concerned about the impact of working physically away from each other. This study theorizes social capital as the primary mechanism by which the level of distribution of individuals in teams and the use of communication technol...

In this paper, a particular technique for the application of elementary multilevel 8 ideas to problems with warped boundaries is studied in the context of the numerical simulation 9 of elastic contact problems. Combining a general multilevel setting with a different perspec10 tive, namely an advanced geometric modeling point of view, we present a (monotone) multi11 grid method based on a hierar...