LAUSR

Multiple item scales have long been used to measure latent constructs on individual-level data. This is appropriate when an otherwise unobserved construct is indirectly measured by combining observable correlated characteristics that are thought to measure slightly different dimensions of that construct. Network data, which consist of observations on the relationships between a set of actors, however, are typically drawn from single-relation measurements. While this approach is sufficient for learning about discrete relations (communication, coauthorship, etc.), multi-item measurement of extemporaneous valued relationships, such as cohesion and conflict, may be of common interest in psychology and related sciences. In this article, we evaluate the use of multirelational network measurement in inferring valued latent construct networks. In particular, we present a psychometric framework for developing multirelational measures of latent construct networks, evaluating their reliability and construct validity, and identification of appropriate scaling approaches for these construct-level networks.