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The purpose of this paper is to present findings from two studies exploring the Health of the Nation Outcome Scale’s (HoNOS) utility within a new payment by results (PbR) system for mental health services in England.

In the first study principal axis factoring extraction was used to explore a sample of 23,641 HoNOS ratings. In a second study confirmatory factor analysis was used to evaluate four subscale structures on a new sample of 34,716 HoNOS ratings.

No HoNOS factor structure evaluated in this study demonstrated adequate fit statistics across several clinical presentations. A new four-factor model was the only structure to achieve fit statistics across all clinical populations, but can only be championed on a “best fit” basis as opposed to “good fit” at the present time.

Data used in the current studies relate to six NHS mental health service providers. Replication using a national sample is recommended. Exploration of different HoNOS factor structures for different mental health clusters within the PbR system in England is also recommended. However, it is also possible that removing redundant or adding new items may result in a more stable HoNOS generic factor structure.

This is the first HoNOS evaluation as a generic outcome measure for use within a PbR system and provides important insights into its mental health utility and limitations. The findings have significant implications for those developing the national PbR quality and outcomes framework for England’s mental health services. However, there are also implications for all nations in which HoNOS is used to report mental health outcomes.

Social media provides institutions an opportunity for a new level of engagement with prospective students, alumni, donors and community members. This chapter begins with an overview of social media in higher education, who is using it and for what, then provides a few talking points to consider with others before beginning a push into social media. The remainder of the chapter includes a few examples of ways in which social media are used to engage alumni and prospective students, including utilizing Twitter as a free SMS service to provide updates to prospective students during their recruitment, creating an iPhone application for alumni weekend as both an information and engagement tool, and using live tweets from alumni during homecoming to provide an authentic look at the day's events.

The purpose of this meta-analysis is to encapsulate the outcomes and generate meaningful conclusions by examining the factors that influence consumers' purchase and non-purchase behaviour intention in a virtual reality retailing context.

This study integrates the outcomes from 52 studies, including 403 relationships involving 19,188 samples. The analysis was conducted using R-metafor and AMOS software.

The findings indicate that key factors that influence purchase and non-purchase behavioural intentions are virtual reality (VR)characteristics, virtual reality experience and consumer attitudes. VR experience is the strongest predictor for purchase decisions in virtual environment ,while consumer attitude towards VR most strongly influences the non-purchase behaviour of the consumers. Furthermore, the age of the respondents, cultural backgrounds (high vs low power distance) and gender moderate the relationship between consumers' attitudes and purchase and behaviour intentions.

Marketers can positively influence consumer attitudes and behavioural intentions by prioritizing the design of the virtual environment and facilitating unique experiences (by manipulating different sensory stimuli) in virtual retailing.

The current meta-analysis reconciles and reinforces the findings in the extant literature and provides a robust empirical generalization of the critical factors that influence consumers' purchase or behavioural intentions in a virtual retailing context.