Computer-assisted Data Analysis Software Research Articles

Branding tourism and collaborative governance: A case study from Nglanggeran village

Nglanggeran Village has been recognised as a smart tourism destination and earned the "Best Tourism Village" title from the World Tourism Organization (UNWTO). This study delves into the analysis of collaborative governance within Nglanggeran Village, which has earned this esteemed recognition and explores tourism branding development through cross-sector efforts. Employing a qualitative research method with a case study approach focused on Nglanggeran Village, this research draws data from multiple sources, including mass media (10 sources related to the tourism branding of Nglanggeran Village) and the village's Twitter account. Data analysis is conducted using Computer-Assisted Data Analysis Software (CAQDS). The study applies branding theory, considering the following indicators: Product, Price, Place, and Promotion. The findings reveal that Nglanggeran Tourism Village's collaborative governance efforts have been fostered by the Tourism Awareness Group (Pokdarwis), which has forged partnerships with the Regional Government of Gunungkidul Regency, Special Region of Yogyakarta, and the Ministry of Tourism and Creative Economy. These collaborations involve mentoring and training to enhance tourism governance, focusing on aspects of natural, cultural, and educational tourism. Regarding tourism branding, mass media is pivotal in disseminating information about key tourism offerings, location coverage, and facilitating online ticket purchases. Furthermore, the @GunungApiPurba social media account collaborates with government entities to promote natural tourism, lodging packages, and various local food products, positioning itself as the central hub for branding while providing valuable information on access to the destination.

Educators’ Perceptions on Refugee Students’ Identity Challenges Following Higher Education Through Virtual Learning

Refugees experience specific challenges when transitioning into higher education influenced by socio-cultural issues (Kong et al., 2016). Moreover, online learning may impact identity formation leading to duelling identities (Brunton et al., 2019). As virtual learning prevails in higher education due to the globalisation of new technologies, academic needs and competition with international institutions (Olaniran & Agnello, 2008), marginalisation of socially excluded groups such as refugees may surface (Crea & Sparnon, 2017).The purpose of this study is to explore educators perspectives of challenges and opportunities refugee students’ face when following higher education via a virtual space that impedes these specific students identity and sense of belonging. This paper provides the concept based on Erickson’s psychosocial development theory to extend this area of investigation by assessing the impact of learning via online spaces on identity.Five educators working within higher education were interviewed using a qualitative phenomenological methodology to generate an in-depth, unique perspective on the challenges and opportunities observed by teaching refugee students’ and focusing on identity formation. The data generated were transcribed verbatim and analysed using a computer-assisted data analysis software (CAQDAS), NVivo 12 Plus, to classify group-specific codebooks emerging from the data collection.The finding suggests that refugee students’ studying via a virtual space face specific challenges linked to their lived reality; however, pedagogy and educators need to be more culturally responsive to support students from diverse backgrounds and aid in the identity transition. Moreover, opportunities gained through online learning allow a sense of belonging to a global education and skills fostered will prove fruitful academically and beyond. This study concludes with implications for professional practice within the higher academic setting.

25.I. Skills building seminar: Utilizing document review and content analysis for monitoring public health initiatives

Abstract Ongoing monitoring and process evaluation of public health initiatives can be challenging, particularly with complex initiatives involving multiple partners and systems and environmental change goals. Limited resources for monitoring and evaluation contribute to these challenges. Many initiatives and programs generate multiple reporting documents, however, such as planning documents, site visit or trip reports, and summative evaluation reports. Often these documents are underutilized, although they contain valuable information that can be mined. If (ideally) thoughtfully designed and then systematically reviewed using quantitative and qualitative content analysis methods (e.g. Neuendorff 2019, White and Marsh 2006), such documents can serve as valuable and cost- and time-efficient sources of data for monitoring and course correction. The presenters have experience both teaching, designing, and utilizing documents and content analysis methods for supporting effective planning, monitoring, and process evaluation. We will briefly present both quantitative and qualitative content analysis methods that can be applied both to documents tailored for such methods and pre-existing documents. The use of simpler tools for managing and analyzing data such as Excel as well as more complex computer assisted data analysis software (CAQDAS) packages will be reviewed. We will give examples utilizing experiences applying these methods to local public health department work as well as global health engagement projects. Following presentation giving an overview of content analysis methods and developing tools for applying them to documents via identified criteria, participants will be dividing into small breakout groups, and supported in brainstorming discussions about how they can use these methods with their own programs and initiatives. Following this workshop, participants should be able to: 1) discuss the differences between quantitative and qualitative approaches to content analysis of documents, for monitoring purposes; 2) understand the process of identifying criteria or categories tied to the goals and objectives of initiatives or programs, even if goals and objectives change over time, and utilizing these criteria to develop tools for systematic review and content analysis of available documents; and 3) leave with initial ideas about how to apply these tools in their own work and resources for doing so. Key messages Program or project generated documents such as plans, site visit and existing reports are underutilized for monitoring and process evaluation but can serve as valuable and accessible data sources. Systematic review including quantitative and qualitative content analysis methods can be used with project documents to support valid and rigorous data extraction for monitoring purposes.

Effects of Tacit Knowledge on the Performance of Selected Universities in Kenya

Abstract Tacit knowledge (TK) is non-codified and personal (sticky) knowledge that is difficult to transfer. TK cannot be said to be significant if there is a lack of tangible contributions. Universities can only realize such returns when there is growth in terms of (financial base, products, processes, customer base, employees’ loyalty) financial and non-financial indicators. The main objective of the research was to evaluate the effect of TK on organizational performance in selected universities in Kenya. The study adopted a mixed research approach as informed by pragmatism research paradigm. Data was collected from a study population of 65 respondents from four study sites which were Kibabii University, University of Nairobi, KCA University, and the University of Eastern Africa, Baraton. Semi-structured questionnaires were administered to academic deans; directors of research, innovation, and ICT; and heads of library services as well as planning and administration. Qualitative data was analyzed through conversation analysis, content analysis, and R which is a computer-assisted data analysis software. Chi-square tests, as well as multinomial logistic regression, were used for the quantitative data analysis. The findings of this study indicate that universities value TK as a key asset for organizational performance. The study identified TK as an asset that has helped institutions to grow in terms of work processes, decision making, and the creation of new products and/or services.

How can the perceptions and experiences of medical educator stakeholders inform selection into medicine? An interpretative phenomenological pilot study.

This article was migrated. The article was marked as recommended. Background Attempts to utilise the experiences of stakeholders to better inform selection into medicine are rare in the literature. Published scholarship to date reflects a myriad of competing goals for selecting and graduating 'good doctors' amidst increasingly complex health care environments. This includes debates around what is the 'good doctor', selection methods, health care decision-making, the doctor-patient relationship, patient-centredness, professionalism and stakeholder experiences with doctors. Within the complexity manifested by these multiple dimensions, decisions about the characteristics and capabilities on which selection should be based may have privileged some stakeholder groups over others, with patient experiences particularly de-emphasised. The aims of this pilot study were to focus on front-line medical educators as stakeholders whose experiences might be valuable for informing selection into medicine and to inform a larger-scale study of the topic from the perspectives of a more diverse group of stakeholders, including patients. Method Fourteen (14) medical educator participants were recruited for a semi-structured group interview at an international conference for health professional educators. The audio-recording was transcribed verbatim and the raw data were de-identified and organised with the aid of computer assisted data analysis software. Coding was initiated and Smith's interpretative phenomenological analytical (IPA) method employed ( Smith, Flowers, & Larkin, 2009). Results Initial analysis yielded four broad phenomenological themes: perceptions of 'good doctors', selection processes, selection-related challenges and possible solutions. The more deeply experiential data were captured in an analytical commentary of first-person accounts that may be useful for informing future selection strategies. Participant experiences mirrored the major debates in medical selection but their accounts revealed a negativity and cynicism about the topic that was concerning and warrants further investigation. Conclusion This study contributes to medical student selection research through offering an account of the 'lived experiences' of front-line medical educator stakeholders.

Connecting the Dots: A Review of Traversing the Uncharted Arena of Computer Assisted Qualitative Data Analysis Software: Mapping Out QDA Miner 4.1 as a First-Time User

A review of QDA Miner 4.1, a mixed method computer assisted data analysis software (CAQDAS), was conducted to determine how accommodating (if at all) the software was for beginning researchers and/or individuals less proficient with computers. Rather than maintaining the more traditional focus on the technical functionality of QDA Miner, this review was structured around the needs and interests of a beginning researcher. Although QDA Miner offers a variety of helpful resources, questions regarding how to structure initial project to ensure findings yield methodological accuracy remain.

Life Interrupted: The Impact of Complex Chronic Disease from the Perspective of Hospitalized Patients

A growing number of individuals require health services to manage multiple chronic conditions (i.e., complex chronic disease), yet little is known about their experience. The purpose of this study was to investigate the impact of complex chronic disease on the lives of individuals receiving hospital care. Ninety-five participants were interviewed between February and June 2011 and shared their views on how illness impacted their lives. Interviews were transcribed and thematically coded using computer assisted data analysis software. Participants' views were organized into six themes: loss of: autonomy; meaningful activities; structures of meaning; social fabric; mental health; and finances. Most participants articulated multiple losses, particularly those with high illness severity. This study sheds light on the experience of loss as a consequence of disease. To adequately support the needs of these individuals, a model of care must address the interface between mental, social, and physical health.