Mixtures of item response theory models have been proposed as a technique to explore response patterns in test data related to cognitive strategies, instructional sensitivity, and differential item functioning (DIF). Estimation proves challenging due to difficulties in identification and...

We demonstrate the use of a multidimensional extension of the latent Markov model to analyse data from studies with repeated binary responses in developmental psychology. In particular, we consider an experiment based on a battery of tests which was administered to pre-school children, at three...

The paper investigates the problem of determining patterns of criminal behaviour from official criminal histories, concentrating on the variety and type of offending convictions. The analysis is carried out on the basis of a multivariate latent Markov model which allows for discrete covariates...

Latent variable models are well suited to the analysis of choice experiment data because of their ability to provide estimates of effects as well as variances. Typically, best-worst choice experiment data are analyzed with traditional choice models. For simple brand name only experiments, this...

It is generally believed that companies choose supply chain partners on the basis of their distinctive value propositions – a fact one would also expect holds true when companies choose a logistics service provider. However, faced with the complexities of varied customer demands, it can be...

La evidencia internacional ha documentado brechas de género en conocimientos financieros en múltiples países y grupos demográficos. Aunque la mayoría de los estudios analizan por qué las mujeres saben menos, estas brechas también podrían reflejar un comportamiento diferencial por género...

In this paper, we investigate how industrial buyers align their relationships with suppliers to the contextual characteristics of the purchase. We propose that patterns of purchasing strategy are evidenced, in part, by the alignment of three fundamental domains: the firm's strategic intent for a...

Enterprise systems entail complex organizational interventions. Accurately gauging the impact of any complex information system requires understanding its multidimensionality, and the development of a correspondent, standardized, validated, and robust measurement instrument. Despite the...

Mixture modeling is an increasingly popular analysis in applied research settings. Confirmatory factor mixture modeling can be used to test for the presence of multiple populations that differ on one or more parameters of a factor model in a sample lacking a priori information about population...

Outsourcing of IT is a popular strategy, argued by proponents to deliver a range of benefits including cost savings, increased service quality, and strategic advantages. However, empirical evidence of the success of outsourcing is limited, and several recent studies have suggested widespread...