Methodological issues for qualitative research with learning disabled children

This paper discusses key methodological issues for qualitative research with learning disabled children, based on the author's experience of involving learning disabled children in her doctoral study. The study was founded on the social model of disability and a sociological understanding of childhood that recognizes the abilities of disabled children as competent research participants. Issues that arose throughout the research process, from the early stages of gaining access to children, to communication challenges for interviewing learning disabled children, and the analysis and dissemination of data, are discussed. Within this context, this paper explores key methodological issues for researchers with regard to interviewing learning disabled children and actively involving them in qualitative research.

Research with children: methodological issues and innovative techniques

In the past few decades, a growing body of literature examining children’s perspectives on their own lives has developed within a variety of disciplines, such as sociology, psychology, anthropology and geography. This article provides a brief up-to-date examination of methodological and ethical issues that researchers may need to consider when designing research studies involving children; and a review of some of the methods and techniques used to elicit their views. The article aims to encourage researchers to critically reflect on these methodological issues and the techniques they choose to use, since they will have implications for the data produced.

Methodological considerations in reserve system selection: a case study of Malagasy Lemurs.

Although data quality and weighting decisions impact the outputs of reserve selection algorithms, these factors have not been closely studied. We examine these methodological issues in the use of reserve selection algorithms by comparing: (1) quality of input data and (2) use of different weighting methods for prioritizing among species. In 2003, the government of Madagascar, a global biodiversity hotspot, committed to tripling the size of its protected area network to protect 10% of the country’s total land area. We apply the Zonation reserve selection algorithm to distribution data for 52 lemur species to identify priority areas for the expansion of Madagascar’s reserve network. We assess the similarity of the areas selected, as well as the proportions of lemur ranges protected in the resulting areas when different forms of input data were used: extent of occurrence versus refined extent of occurrence. Low overlap between the areas selected suggests that refined extent of occurrence data are highly desirable, and to best protect lemur species, we recommend refining extent of occurrence ranges using habitat and altitude limitations. Reserve areas were also selected for protection based on three different species weighting schemes, resulting in marked variation in proportional representation of species among the IUCN Red List of Threatened Species extinction risk categories. This result demonstrates that assignment of species weights influences whether a reserve network prioritizes maximizing overall species protection or maximizing protection of the most threatened species.