Pedigree analysis of children with phonology disorders.

This study examined 87 pedigrees of individuals with histories of preschool phonology disorders. Results confirmed previous reports that speech and language disorders aggregate in families, with a higher incidence of males affected than females. Significantly more family members with dyslexia and learning disabilities, but not stuttering or hearing impairment, were found in pedigrees of individuals with phonology disorders than in pedigrees of nondisabled individuals. Probands with and without additional language problems did not differ in the incidence of affected family members. Nuclear family members demonstrated a higher incidence of disorders than when all family members were considered, with brothers of probands most often affected. Pedigrees of female probands had more affected members in their nuclear families than pedigrees of male probands.     

An Experimental Evaluation of a Direct Instruction Programme (Corrective Reading) with Remedial Readers in a Comprehensive School

A Direct Instruction approach to remedial reading (Corrective Reading Programme) was evaluated in an urban Comprehensive school over two school years. First year remedial readers were randomly allocated to one experimental and two control groups. Groups were matched for sex. A similar procedure was followed in the second study carried out with the following group of first year remedial readers.

In the first three months of the first study all groups were monitored while receiving the school's usual remedial reading programme. They made comparable gains during this baseline period. Covariance analysis indicated that in the first study the experimental group and control group I (a ‘novelty’ programme) made significantly greater gains, in accuracy and comprehension, than control group 2 (the usual remedial reading programme). Findings from the second study confirmed the suggestion that gains for the experimental group in the first study were partly due to ‘novelty’ effects. Both experimental groups developed better strategies for tackling oral reading tasks (as assessed by miscue analysis) than control groups, however.     

A strategic approach to developing e-learning capability for healthcare

Objectives: This article examines a strategic approach to developing e‐learning capability to enhance learning opportunities for the workforce of a healthcare organization. Emphasis is given to the procurement of a bespoke Managed Learning Environment (MLE). Strategic organizational issues impacting on future e‐learning developments are considered. Methods: The 2‐year implementation plan was evaluated through a two phase external research project. The first phase focused on the effectiveness of a training programme designed to build capacity for e‐learning within the Northern area and also included a virtual learning environment usability study which informed the MLE specification. The second phase evaluation is ongoing during 2005 and interim findings are presented. Results: The MLE has been piloted and on‐line learning packages have been acquired. There has been a phased take‐up of e‐learning opportunities and e‐tutor training. Some virtual Communities of Practice have been established. Key organizational issues have been identified and ongoing findings are informing strategic planning. Conclusions: The healthcare MLE is offering enhanced learning opportunities and assisting area healthcare providers in training their dispersed workforces. Blended learning strategies are most successful. The need for protected time for e‐learning is a key issue, financial savings are available. Progress has been slowed by identified organizational constraints—the MLE's benefits are widely recognized.     

Word co-occurrences on Webpages as a measure of the relatedness of organizations: A new Webometrics concept

Web hyperlink analysis has been a key topic of Webometric research. However, inlink data collection from commercial search engines has been limited to only one source in recent years, which is not a promising prospect for the future development of the field. We need to tap into other Web data sources and to develop new methods. Toward this end, we propose a new Webometrics concept that is based on words rather than inlinks on Webpages. We propose that word co-occurrences on Webpages can be a measure of the relatedness of organizations. Word co-occurrence data can be collected from both general search engines and blog search engines, which expands data sources greatly. The proposed concept is tested in a group of companies in the LTE and WiMax sectors of the telecommunications industry. Data on the co-occurrences of company names on Webpages were collected from Google and Google Blog. The co-occurrence matrices were analyzed using MDS. The resulting MDS maps were compared with industry reality and with the MDS maps from co-link analysis. Results show that Web co-word analysis could potentially be as useful as Web co-link analysis. Google Blog seems to be a better source than Google for co-word data collection.