In recent years, proponents of configurational comparative methods (CCMs) have advanced various dimensions of robustness as instrumental to model selection. But these robustness considerations have not led to computable robustness measures, and they have typically been applied to the analysis of real-life data with unknown underlying causal…

Cyberbullying has become increasingly prevalent, particularly on social media. There has also been a steady rise in cyberbullying research across a range of disciplines. Much of the empirical work from computer science has focused on developing machine learning models for cyberbullying detection. Whereas machine learning cyberbullying detection…

Across many academic disciplines visualisation and notation systems are used for modelling data and developing theory, but in child development visual models are not widely used; yet researchers and students of developmental difficulties may benefit from a visualisation and notation system which can clearly map developmental outcomes and…

I explain a simple definition of causality in widespread use, and indicate how it links to the Kramers-Kronig relations. The specification of causality in terms of temporal differential equations then shows us the way to write down dynamical models so that their causal nature "in the sense used here" should be obvious to all. To extend existing…

Mediation is usually assessed by a regression-based or structural equation modeling (SEM) approach that we refer to as the classical approach. This approach relies on the assumption that there are no confounders that influence both the mediator, "M", and the outcome, "Y". This assumption holds if individuals are randomly…

This article presents a systemic, research-based cause analysis model for use in the field of human performance technology (HPT). The model organizes the most prominent barriers to workplace learning and performance into a conceptual framework that explains and illuminates the architecture of these barriers that exist within the fabric of everyday…

In this essay, the author tries to look forward into the 21st century to divine three things: (i) What skills will researchers in the future need to solve the most pressing problems? (ii) What are some of the most likely candidates to be those problems? and (iii) What are some current areas of research that seem mined out and should not distract…

This document describes the construction/simulation software called Stella which can be used in the investigation of dynamic causal models. Topics considered are its built-in perspective of system dynamics and capabilities, its potential drawbacks, and its cognitive implications for educational applications. (JJK)

While previous studies have correlated career indecision with state and trait anxiety in college students, most researchers have examined the relationship between anxiety and career indecision without considering other variables. This paper, incorporating previous research on career indecision, profiles a study of a causal model of career…

In discussion of policy and practice on partnership between higher education providers and other stakeholders in initial teacher education (ITE), one significant approach has been to stress the desirability of developing models which are truly collaborative. This paper first discusses the "collaborative" model within a range of…

This chapter introduces the key economic concepts, models, and methods that can help inform institutional research in higher education. (Contains 1 table and 9 figures.)

As an integral part of American life, technology is expected to accomplish a variety of tasks, including promoting the educational development of children. To accomplish this task, technology must deal with the challenge of connecting the two major institutions of learning for children: families and schools. Surveys indicate that while most…