‘It Brings it all Back, all those Good Times; it Makes Me Go Close to Tears’. Creating Digital Personalised Stories with People who have Dementia

The purpose of these three case studies was to analyse and theoretically explain the contribution of digital multimedia personalisation to stimulate and share long-term memories of people who live with mild to moderate dementia. We investigated how the use of a freely available iPad app can, in a supporting context, facilitate the creation of personalised multimedia stories, including the participants’ audio recordings, texts and photos of items, places or people important to them. Three people who were recruited from a club for people living with dementia created personalised multimedia stories using their own photographs and/or pictures downloaded from the internet, with written captions and audio-recorded voiceovers. Our analysis focuses on the themes and symbols across the three final stories of the participants and the process of creating stories with the Our Story iPad app. The discussion concerns the theoretical value of multimedia and the practical value of story-making apps for people with dementia. We conclude that the multimedia features available with the Our Story app offer a unique opportunity for people living with dementia to store, access and generate memories, capture them in writing and audio; and the ability to continue adding to the original stories

Distilling Privacy Requirements for Mobile Applications

As mobile computing applications have become commonplace, it is increasingly important for them to address end-users’ privacy requirements. Privacy requirements depend on a number of contextual socio-cultural factors to which mobility adds another level of contextual variation. However, traditional requirements elicitation methods do not sufficiently account for contextual factors and therefore cannot be used effectively to represent and analyse the privacy requirements of mobile end users. On the other hand, methods that do investigate contextual factors tend to produce data that does not lend itself to the process of requirements extraction. To address this problem we have developed a Privacy Requirements Distillation approach that employs a problem analysis framework to extract and refine privacy requirements for mobile applications from raw data gathered through empirical studies involving end users. Our approach introduces privacy facets that capture patterns of privacy concerns which are matched against the raw data. We demonstrate and evaluate our approach using qualitative data from an empirical study of a mobile social networking application

The pedagogic beliefs of Indonesian teachers in inclusive schools

This research explores, for the first time, the pedagogical orientations of Indonesian teachers in the context of inclusive education. A mixed-method approach was used for an analysis of questionnaire data from 140 teachers and qualitative interviews from 20 teachers in four inclusive schools. The findings suggest that, in general, the implicit orientation of teachers is social constructivist. This orientation is also reflected in their reported classroom practices. Although less common, more directive pedagogical approaches appear to have an impact upon the flexibility of roles within two teacher inclusive classrooms. Whilst the number of disabled pupils within each class was a significant issue for interviewees, no pupils were deemed unteachable in their classrooms. Furthermore, what is described by the teachers as a “special pedagogy” typically entailed additional teaching time and modified assessments, and consequently could be framed as “good teaching for all”. The questionnaires also contained responses from student and special school teachers and support the view that teachers’ beliefs about inclusive pedagogy are mediated by experience and occupation

Measuring discomfort from glare: recommendations for good practice

This article presents a review of the methods used for subjective evaluation of discomfort from glare, focusing on the two procedures most frequently used in past research – adjustment and category rating. Evidence is presented to demonstrate that some aspects of these procedures influence the evaluation, such as the range of glare source luminances available in an adjustment procedure, leading to biased evaluations and which hence reduce the reliability and validity of the data. The article offers recommendations for good practice when using these procedures and also suggests alternative methods that might be explored in further work

Validating Chemistry Faculty Members’ Self-Reported Familiarity with Assessment Terminology

With the increasing emphasis placed upon chemistry instructors and departments to assess and evaluate their courses and curricula, understanding the structure of chemistry faculty members’ knowledge and use of assessment terms and concepts can shed light on potential areas for targeted professional development. Survey research that might accomplish this objective often relies on self-reported responses from the target audience, and such information is sometimes difficult to assess in terms of validity. As an example of an internal mechanism to help establish validity, it is possible to include an “internal standard” item early in the survey. For the sake of understanding faculty members’ familiarity with assessment terminology, an item that asked participants to identify analogous pairs of terms comparing assessment measures (assessment validity and assessment reliability) to laboratory measures (accuracy and precision) served this purpose. Using ordered logistic regression, participants who answered the analogy question completely correctly were more likely to report higher levels of familiarity with the assessment terms. Because the self-reported data appears to be valid, these data can be further used in subsequent analyses in order to determine the general familiarity trends among chemistry faculty regarding assessment terminology

A worked example of "best fit" framework synthesis: A systematic review of views concerning the taking of some potential chemopreventive agents

<p>Abstract</p> <p>Background</p> <p>A variety of different approaches to the synthesis of qualitative data are advocated in the literature. The aim of this paper is to describe the application of a pragmatic method of qualitative evidence synthesis and the lessons learned from adopting this "best fit" framework synthesis approach.</p> <p>Methods</p> <p>An evaluation of framework synthesis as an approach to the qualitative systematic review of evidence exploring the views of adults to the taking of potential agents within the context of the primary prevention of colorectal cancer.</p> <p>Results</p> <p>Twenty papers from North America, Australia, the UK and Europe met the criteria for inclusion. Fourteen themes were identified <it>a priori </it>from a related, existing conceptual model identified in the literature, which were then used to code the extracted data. Further analysis resulted in the generation of a more sophisticated model with additional themes. The synthesis required a combination of secondary framework and thematic analysis approaches and was conducted within a health technology assessment timeframe.</p> <p>Conclusion</p> <p>The novel and pragmatic "best fit" approach to framework synthesis developed and described here was found to be fit for purpose. Future research should seek to test further this approach to qualitative data synthesis.</p

The Development of a Content Analysis Model for Assessing Students’ Cognitive Learning in Asynchronous Online Discussions

The purpose of this study was to develop and validate a content analysis model for assessing students\u27 cognitive learning in asynchronous online discussions. It adopted a fully mixed methods design, in which qualitative and quantitative methods were employed sequentially for data analysis and interpretation. Specifically, the design was a sequential exploratory (QUAL→ quan) design with priority given to qualitative data and methods. Qualitative data were 800 online postings collected in two online courses. Quantitative data were 803 online postings from the same two courses but from different discussion topics and different weeks. During the qualitative process, a grounded theory approach was adopted to construct a content analysis model based on qualitative data. During the quantitative process, chi-square tests and confirmative factor analysis (CFA) which used online postings as cases or observations and was the first of its kind were performed to test if the new model fit the quantitative data

PRO development: rigorous qualitative research as the crucial foundation

Recently published articles have described criteria to assess qualitative research in the health field in general, but very few articles have delineated qualitative methods to be used in the development of Patient-Reported Outcomes (PROs). In fact, how PROs are developed with subject input through focus groups and interviews has been given relatively short shrift in the PRO literature when compared to the plethora of quantitative articles on the psychometric properties of PROs. If documented at all, most PRO validation articles give little for the reader to evaluate the content validity of the measures and the credibility and trustworthiness of the methods used to develop them. Increasingly, however, scientists and authorities want to be assured that PRO items and scales have meaning and relevance to subjects. This article was developed by an international, interdisciplinary group of psychologists, psychometricians, regulatory experts, a physician, and a sociologist. It presents rigorous and appropriate qualitative research methods for developing PROs with content validity. The approach described combines an overarching phenomenological theoretical framework with grounded theory data collection and analysis methods to yield PRO items and scales that have content validity