Background. The psychometric properties of the Modified Work APGAR (MWA) scale are not established, yet researchers use this scale as an overall measure of job satisfaction. Objective. Perform psychometric analyses on the MWA scale using data from two populations. Methods. A landmark occupational cohort and a clinical cohort are populations with low back pain studied. The first five items of th...

The present study examined the psychometric properties of the Arabic version of Children's Self-report Social Skills Scale (CS) using a generalized partial credit model (GPCM). Data from 722 primary school children (401 boys and 321 girls) responses, in Egypt, were analyzed using GPCM. The results indicated that the 21 items are able to discriminate among the levels of children's social skills....

The recent ubiquity of social networks allows firms to collect unprecedented volumes of data about their customers, their buying behavior, their social interaction with other customers and on the structure of the network. The challenge, which confronts every firm, from big to small, is how to process this data and turn it into actionable policies so as to increase profitability. In this paper, ...

Subject of this paper is the measurement of social influence in social networks. The theoretical point of departure is twofold. First, focus is on cognitive processing of perceived influence. Second, three distinct dimensions of social influence are considered: persuasion, authority and coercion. Combining these considerations with Item Response Theory methods, questionnaire-type measurement in...

The Pediatric Evaluation of Disability Inventory-Computer Adaptive Test is an alternative method for describing the adaptive function of children and youth with disabilities using a computer-administered assessment. This study evaluated the performance of the Pediatric Evaluation of Disability Inventory-Computer Adaptive Test with a national sample of children and youth with autism spectrum dis...

Collaborative filtering attempts to find items of interest for a user by utilizing the preferences of other users. In this paper we describe an approach to filtering that explicitly uses social relationships, such as friendship, to find items of interest to a user. Modeling user-item relations as a bipartite graph we augment it with user-user (social) links and propose an absorbing random walk ...

Recent years have seen a surge in psychological research on the relationship between political ideology (particularly conservatism) and cognition, affect, behaviour, and even biology. Despite this flurry of investigation, however, there is as yet no accepted, validated, and widely used multi-item scale of conservatism that is concise, that is modern in its conceptualisation, and that includes b...

How to profile users and items is a key problem for recommendation in tagging systems. In contrast to tag vector based methods which ignore the semantic relations between tags, we present a novel profiling method based on a weighted tag network model to fully exploit the rich tag relations. Furthermore, by considering the extent of other users’ usage of tags, we present a novel NTF-IUF-IIF meth...

We present an approach that efficiently identifies the semantic meanings and contexts of social tags within a particular folksonomy, and exploits them to build contextualised tag-based user and item profiles. We apply our approach to a dataset obtained from Delicious social bookmarking system, and evaluate it through two experiments: a user study consisting of manual judgements of tag disambigu...