Review of research and evaluation on improving adult literacy and numeracy skills

The purposes of this literature review are threefold. First, this review summarises findings of the research from the last decade in six fields identified by the Department for Business, Innovation and Skills (BIS) as critical to its forward planning: (1) the economic, personal and social returns to learning; (2) the quality and effectiveness of provision; (3) the number of learning hours needed for skills gain; (4) learner persistence; (5) the retention and loss of skills over time; (6) the literacy and numeracy skills that are needed. Second, this review assesses this evidence base in terms of its quality and robustness, identifying gaps and recommending ways in which the evidence base can be extended and improved. Thirdly, this review attempts to interpret the evidence base to suggest, where possible, how returns to ALN learning for individuals, employers and wider society might be increased through effective and cost-effective interventions

WWW.raising achievement: internet research resources on raising achievement in post-compulsory education; the agency comments

This report is designed to help practitioners and researchers find and use internet-based resources that deal with raising achievement. It contains a guide to useful research sources and organisations accessible via the internet; an introductory synthesis of research findings drawn from the Educational Resources Information Center (ERIC) and suggestions for applying American research findings to raising achievement in the UK

Big data and data repurposing – using existing data to answer new questions in vascular dementia research

Introduction: Traditional approaches to clinical research have, as yet, failed to provide effective treatments for vascular dementia (VaD). Novel approaches to collation and synthesis of data may allow for time and cost efficient hypothesis generating and testing. These approaches may have particular utility in helping us understand and treat a complex condition such as VaD. Methods: We present an overview of new uses for existing data to progress VaD research. The overview is the result of consultation with various stakeholders, focused literature review and learning from the group’s experience of successful approaches to data repurposing. In particular, we benefitted from the expert discussion and input of delegates at the 9th International Congress on Vascular Dementia (Ljubljana, 16-18th October 2015). Results: We agreed on key areas that could be of relevance to VaD research: systematic review of existing studies; individual patient level analyses of existing trials and cohorts and linking electronic health record data to other datasets. We illustrated each theme with a case-study of an existing project that has utilised this approach. Conclusions: There are many opportunities for the VaD research community to make better use of existing data. The volume of potentially available data is increasing and the opportunities for using these resources to progress the VaD research agenda are exciting. Of course, these approaches come with inherent limitations and biases, as bigger datasets are not necessarily better datasets and maintaining rigour and critical analysis will be key to optimising data use

Effects of Personality, Cognitive Ability, and Fit on Job Search and Separation Among Employed Managers

The present study attempted to provide a constructive replication and extension of a study on managerial job search completed by Bretz, Boudreau, and Judge (1994). Beyond examining the same variables as Bretz et al. (1994), the effects of personality, cognitive ability, challenge and hindrance related job stress, and fit on job search and turnover also were examined. Data were collected from a 1995 survey of employed U.S. managers and a 1996 follow-up survey of respondents. Results based on a sample of 1,886 managers generally replicated the Bretz et al. results. Furthermore, hindrance related stress, cognitive ability, extraversion, openness to experience, and agreeableness were associated with search and/or separation

Mental health-related conversations on social media and crisis episodes: a time-series regression analysis

We aimed to investigate whether daily fluctuations in mental health-relevant Twitter posts are associated with daily fluctuations in mental health crisis episodes. We conducted a primary and replicated time-series analysis of retrospectively collected data from Twitter and two London mental healthcare providers. Daily numbers of ‘crisis episodes’ were defined as incident inpatient, home treatment team and crisis house referrals between 2010 and 2014. Higher volumes of depression and schizophrenia tweets were associated with higher numbers of same-day crisis episodes for both sites. After adjusting for temporal trends, seven-day lagged analyses showed significant positive associations on day 1, changing to negative associations by day 4 and reverting to positive associations by day 7. There was a 15% increase in crisis episodes on days with above-median schizophrenia-related Twitter posts. A temporal association was thus found between Twitter-wide mental health-related social media content and crisis episodes in mental healthcare replicated across two services. Seven-day associations are consistent with both precipitating and longer-term risk associations. Sizes of effects were large enough to have potential local and national relevance and further research is needed to evaluate how services might better anticipate times of higher risk and identify the most vulnerable groups