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IntroductionAlthough ethnocentrism is one of the fundamental concepts in the social sciences, its study has been impeded by a diversity of conceptualizations and measures. In recent years, a growing number of political scientists and psychologists have undertaken in-depth research into ethnocentrism. In addition, researchers have recently proposed a comprehensive reconceptualization of ethnocentrism and developed a new Ethnocentrism scale. There is strong evidence for this scale's reliability and validity in indexing ethnocentrism, but like most measures in psychology and political science, this scale is based on classical test theory. Item response theory (IRT) is a powerful psychometric technique that can provide a much more sophisticated test of test performance and is currently under-utilized in research.MethodsWe performed IRT to assess the psychometric properties of the Ethnocentrism scale on a sample of 4,187 participants.ResultsThe scale's items had strong psychometric properties to capture the ethnocentrism latent construct, particularly in the below average to above average range. Men required marginally lower levels of ethnocentrism to endorse less socially acceptable items than women (items relating to superiority, purity, or exploitativeness). When compared to liberals, conservatives responded more readily to nearly all ethnocentrism items. Given this variation, the IRT approach highlighted that future measurements must adjust for differential item functioning, albeit more for political orientation than gender identity.DiscussionThe findings detail how IRT can enhance measurement in political science and demonstrate the implications for how gender and political ideology may affect the differential performance of items.

This comprehensive Handbook focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models originated, conceptually and in practical terms. Diverse perspectives on how these models can best be evaluated are also provided. Practical applications provide a realistic account of the issues practitioners face using these models. Disparate elements of the boo.

Introduction to measurement -- The one-parameter model -- Joint maximum likelihood parameter estimation -- Marginal maximum likelihood parameter estimation -- The two-parameter model -- The three-parameter model -- Rasch models for ordered polytomous data -- Non-Rasch models for ordered polytomous data -- Models for nominal polytomous data -- Models for multidimensional data -- Linking and equating -- Differential item functioning -- Multilevel IRT models.

"Ordinal Item Response Theory is volume 169 in the SAGE Series "Quantitative Applications in the Social Sciences" (QASS). The of Ordinal Item Response Theory is referred to throughout many other QASS titles and fills a gap between the more classical topics of undimensional scaling, test theory, principal component and factor analysis. In addition, this volume also discusses parametric item response theory and latent class analysis. This monograph is less technical than many books on the market and is best suited for an introductory course in social science measurement"--

Purpose
The purpose of this paper is to examine aspects of how workplace bullying is identified by the Negative Acts Questionnaire-Revised (NAQ-R), with a focus on the appropriateness of its response scale using item response theory (IRT).


Design/methodology/approach
IRT, in which the probability of a particular item response reflects an underlying latent variable, was used to examine NAQ-R responses from a sample of 1,173 Australian public servants (Study 1), and a representative UK data set (n=3,494; Study 2).


Findings
Results indicated that problems with the response scale appear to be due to the inclusion of the abstract "now and then" option amongst concrete time options ("never", "now and then", "monthly", "weekly" and "daily"). These results were replicated in Study 2, providing evidence of the robustness of the findings, and suggesting the observations are not sample specific.


Research limitations/implications
This work has implications for methods employed to identify and measure workplace bullying in research and organisational practice. Inconsistent endorsement of response scale options is a concern when total scores are calculated, or when a number of behaviours being experienced with a particular frequency on the response scale are taken as an indication of bullying having occurred.


Originality/value
Examining and refining the manner in which workplace bullying is indexed is important for identifying and managing workplace risks to health, safety and well-being.