The focus on qualitative research has unfortunately been mainly confined to methods of data collection, neglecting a more significant aspect, namely data analysis. Hospitality and tourism research is no exception to this observation. This is considered to be one of the main reasons why there has been a lower output of qualitative research in hospitality and tourism. In order to elevate the stat...

PURPOSE The objective of this paper is to show that grounded theory (GT), together with mixed methods, can be used to involve healthcare professionals in the design and enhancement of access control policies to Electronic Medical Record (EMR) systems. METHODS The mixed methods applied for this research included, in this sequence, focus groups (main qualitative method that used grounded theory...

National initiatives in the United States call for health research that addresses racial/ethnic disparities. Although grounded theory (GT) research has the potential to contribute much to the understanding of the health experiences of people of color, the extent to which it has contributed to health disparities research is unclear. In this article we describe a project in which we reviewed 44 G...

This article presents some of the most salient qualitative results from a larger program evaluation of pregnant and parenting adolescents who participated in a community-based doula program. Using grounded theory analysis, seven problem-solving strategies emerged that doulas apply in helping pregnant and parenting adolescents navigate multiple social and health settings that often serve as barr...

In spite of the increasing emphasis upon spirituality in the psychological literature, research continues to highlight concerns that issues relating to spirituality are regularly overlooked within a therapeutic setting. The aim of the current study was to develop an account of the way in which clinical psychologists understand and address spirituality within therapy. Semi-structured interviews ...

Our work develops a new methodology and tool for the validation of probabilistic knowledge bases throughout their lifecycle. The methodology minimizes user interaction by automatically modifying incorrect knowledge; only the occurrence of incomplete knowledge involves interaction. These gains are realized by combining and modifying techniques borrowed from rulebased and artificial neural networ...