Comparing groups on latent variables: a structural equation modeling approach

Structural equation modeling (SEM) provides a dependable framework for testing differences among groups on latent variables (constructs, factors). The purpose of this article is to illustrate SEM-based testing for group mean differences on latent variables. Related procedures of confirmatory factor analysis and testing for measurement invariance across compared groups are also presented in the context of rehabilitation research.     

Reliability in rehabilitation measurement

The article examines reliability as a key component of the psychometric properties of tests and inventories. What is reliability, types of reliability, why is reliability important, and other reliability issues are addressed in a manner that will help Work readers to better understand and apply psychometric considerations in the context of rehabilitation research. The authors contend that reliability is an essential condition for the psychometric soundness of measurement instruments that are used in rehabilitation research and practice.     

The basics of nonparametric statistics

This article introduces readers to the data analytic sub-paradigm of nonparametric statistics. The authors begin with an explanation of how and under what circumstances nonparametric statistics are used, then describe specific nonparametric techniques which are commonly used in social science research. Examples from the contemporary rehabilitation literature are provided throughout the article.     

Simple Priorities and Core Stability in Hedonic Games

In this paper we study hedonic games where each player views every other player either as a friend or as an enemy. Two simple priority criteria for comparison of coalitions are suggested, and the corresponding preference restrictions based on appreciation of friends and aversion to enemies are considered. We characterize internally stable coalitions on the proposed domains and show how these characterizations can be used for generating a strict core element in the first case and a core element in the second case. Moreover, we prove that an element of the strict core under friends appreciation can be found in polynomial time, while finding an element of the core under enemies aversion is NP-hard.     

P2P Marketplaces and Retailing in the Presence of Consumers' Valuation Uncertainty

Can peer‐to‐peer (P2P) marketplaces benefit traditional supply chains when consumers may experience valuation risk? P2P marketplaces can mitigate consumers' risk by allowing them to trade mismatched goods; yet, they also impose a threat to retailers and their suppliers as they compete over consumers. Further, do profit‐maximizing marketplaces always extract the entire consumer surplus from the online trades? Our two‐period model highlights the effects introduced by P2P marketplaces while accounting for the platform's pricing decisions. We prove that with low product unit cost, the P2P marketplace sets its transaction fee to the market clearing price, thereby extracting all of the seller surplus. In this range of product unit cost, the supply chain partners are worse off due to the emergence of a P2P marketplace. However, when the unit cost is high, the platform sets its transaction fee to be less than the market clearing price, intentionally leaving money on the table, as a mechanism to stimulate first period demand for new goods in expectation for some of them to be traded later, in the second period, via the marketplace. It is not until the surplus left with the sellers is sufficiently high that the supply chain partners manage to extract some of this surplus, ultimately making them better off due to a P2P marketplace. We further analyze the impact of a P2P marketplace on consumer surplus and social welfare. In addition, we consider model variants accounting for a frictionless platform and consumer strategic waiting.     

Multiple regression in rehabilitation research

This article examines applications of multiple regression in rehabilitation research. The authors address the logic and assumptions of correlational research, annotated with examples from the contemporary rehabilitation and allied health literature. As a means of testing relationships between a set of independent variables and one dependent variable, multiple regression is presented as a flexible and useful data analytic strategy.     

Intercultural teaching competence: a multi-disciplinary model for instructor reflection

Abstract

This article presents a model for Intercultural Teaching Competence (ITC) that instructors may use as a tool for reflection as they prepare to facilitate learning across cultures. Building on previous research on intercultural competence, culturally relevant teaching, intercultural trainer competencies, and student-centred approaches to teaching, the model identifies concrete facilitation techniques for instructors who would like to further develop their own teaching practice or mentor colleagues in effective teaching across cultures. The model consists of 20 instructor competencies grouped into three categories: foundational skills, facilitation skills, and curriculum development skills for intercultural learning. While intended as a tool to guide instructors in individual and group reflection on inclusive teaching practices, the ITC model may also be used by educational developers to guide feedback during classroom observations or while supporting curriculum internationalisation initiatives. Recommendations for use in faculty learning communities and workshops are included at the end of the article. The ITC model will benefit instructors in a variety of disciplines who teach in diverse and multidisciplinary classrooms, discuss global or social justice issues in their class, and those who seek to include intercultural and Indigenous perspectives in their curriculum.     

Gender violence, fan activism and public relations in sport: The case of “Footy Fans Against Sexual Assault”

This paper is based on the belief that online activism is essential for understanding the role and potential of public relations in modern campaigns. In relation to the issue of gender violence against women in football, analyzed and compared are the responses of two official, resource-rich organisations – the National Rugby League (NRL) and Australian Football League (AFL) – and an unofficial, resource-poor fan advocacy group, called Football Fans against Sexual Assault (FFASA). In cooperation and conflict with the leagues, FFASA positioned itself in the market place, taking the widely unoccupied niche of “fan advocacy”—different from “expert advocacy” or “player advocacy”.The article discusses in more detail the major strategy of the group, the Purple Armband Games, which carries many elements of cutting-edge public relations such as advocacy as third-party endorsement; “fan activism” as empowering of “expert advocacy”; “symbolic outsourcing” of participants by facilitating their mode of engagement, the “emblematic richness” of the purple armband symbol, the “oneness” of which overcomes any confrontational dualism.     

A characterization of probability distributions similar to the exponential

A concept of the lack-of-memory property at a given time point c > 0 is introduced. It is equivalent to the concept of the almost-lack-of-memory (ALM) property of the random variables. A representation theorem is given for the cumulative distribution function of such random variables as well as for corresponding decompositions in terms of independent random variables. It is shown that a periodic failure rate for a random variable is equivalent to the ALM property. In addition some properties of the service time of an unreliable server are observed.