Mixed Analysis Approach Research Articles

Standard Method for Oral Health Education (OHE) Among Dental Professionals—A Mixed Analysis Approach

ABSTRACT Aim: This study aims to identify and evaluate the methods of oral health education (OHE) used by dental professionals in Chennai, India. Materials and Method: A cross-sectional survey was performed among 357 dentists to assess the standard technique for providing OHE. A 15-item questionnaire consisting of demographic variables and preferred method of OHE was distributed to the participants as Google Form. The collected data were tabulated and analyzed using descriptive analysis and analysis of variance (ANOVA). Results: Most participants (63.4%) reported the lecture method as the standard technique for delivering OHE. Among the study participants, 80% employed OHE aids, predominantly models (33.2%), pamphlets (16.8%), and AV projections (16.5%). Conclusion: The lecture method predominates among dental professionals for its perceived effectiveness and versatility. These findings underscore the importance of tailored educational strategies in oral health promotion, informed by demographic considerations and practitioner preferences, to enhance public health outcomes globally.

Assessment of hotels’ online complaints in domestic tourism: mixed analysis approach

PurposeThis study aims to test the complaints of tourists who visit five-star hotels in Antalya, Turkey, on those same hotels’ websites.Design/methodology/approachIn the study, the data were collected with qualitative methods but analyzed with the mixed analysis method. In this context, the authors collected 1,012 comments on the website between 2016 and 2019.FindingsAccording to the results of the study, the most intense complaints were found to be concentrated in categories such as ambience, food and staff.Originality/valueFirst of all, it is thought that it will make an important contribution to the literature, since different methodologies are adopted in the study. In addition, online shares, evaluations and comments produce positive or negative results for the destination or business in question. It is necessary to closely monitor such activities in electronic environments, as they may have negative consequences, thus revealing the need to take corrective or preventive measures. For this reason, the research is important in terms of not having such a large-scale study in the literature and contributing to the hospitality industry.

Assessing the Feasibility and Acceptability of Smart Speakers in Behavioral Intervention Research With Older Adults: Mixed Methods Study.

Smart speakers, such as Amazon's Echo and Google's Nest Home, combine natural language processing with a conversational interface to carry out everyday tasks, like playing music and finding information. Easy to use, they are embraced by older adults, including those with limited physical function, vision, or computer literacy. While smart speakers are increasingly used for research purposes (eg, implementing interventions and automatically recording selected research data), information on the advantages and disadvantages of using these devices for studies related to health promotion programs is limited. This study evaluates the feasibility and acceptability of using smart speakers to deliver a physical activity (PA) program designed to help older adults enhance their physical well-being. Community-dwelling older adults (n=18) were asked to use a custom smart speaker app to participate in an evidence-based, low-impact PA program for 10 weeks. Collected data, including measures of technology acceptance, interviews, field notes, and device logs, were analyzed using a concurrent mixed analysis approach. Technology acceptance measures were evaluated using time series ANOVAs to examine acceptability, appropriateness, feasibility, and intention to adopt smart speaker technology. Device logs provided evidence of interaction with and adoption of the device and the intervention. Interviews and field notes were thematically coded to triangulate the quantitative measures and further expand on factors relating to intervention fidelity. Smart speakers were found to be acceptable for administering a PA program, as participants reported that the devices were highly usable (mean 5.02, SE 0.38) and had strong intentions to continue their use (mean 5.90, SE 0.39). Factors such as the voice-user interface and engagement with the device on everyday tasks were identified as meaningful to acceptability. The feasibility of the devices for research activity, however, was mixed. Despite the participants rating the smart speakers as easy to use (mean 5.55, SE 1.16), functional and technical factors, such as Wi-Fi connectivity and appropriate command phrasing, required the provision of additional support resources to participants and potentially impaired intervention fidelity. Smart speakers present an acceptable and appropriate behavioral intervention technology for PA programs directed at older adults but entail additional requirements for resource planning, technical support, and troubleshooting to ensure their feasibility for the research context and for fidelity of the intervention.

Synthesis of the Types and Trends of Review Articles

The practice of review writing is an essential component of postgraduate students’ academic studies for graduation requirement and especially for those who are undergoing their postgraduate studies by theses by publication. However, very few studies have focused on review genres. In this review, the researchers would like to offer an overview of different types of review articles and identify the trend in the development of the review article genre. The researchers of this study employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. They identified the published articles specific to the review genres via a structured keyword search in Web of Science, Scopus, and Google Scholar (from the years 2019–2022). A mixed analysis approach (e.g., qualitative analysis combined with quantitative analysis) was conducted to further examine the selected articles using the data visualization software CiteSpace. The results showcased that there were currently a limited number of review types in social science disciplines. The researchers call for more effort to discover new models for writing review genres in the EFL/ESL context. This study also discusses the theoretical and practical implications.

Analysing online travel reviews to identify temporal changes of a destination image

The goal of this study is to examine how destination image and destination sentiment change over time using content from online travel reviews. We explore the evolution of Finland’s destination image from 2013 to 2018 by analysing 10,197 unstructured Chinese travel reviews. With a mixed analysis approach, we identify the evolutions of the perception of destination attributes, destination structure, and destination sentiment at functional, the mixed functional-psychological, and the psychological levels. The results show that the perceptions of destination attributes can evolve and change surprisingly rapidly, even in the case of a country-level destination. Although the structure of destination image seems to be stable, individual dimensions may evolve rapidly. In terms of destination sentiment, the evolving trends of destination sentiment can be even in the opposite direction of the evolution of destination attributes. These findings improve the research on the dynamic characteristics of destination image and provide industry insights for destination marketers in formulating long-term marketing strategies and monitoring destination image development.

A prosodic morphophonological analysis of the trilateral perfect passive verbs in Qassimi Arabic

This paper advances a comprehensive account of the pattern of trilateral perfect passive verbs (TPPVs) in Qassimi Arabic (QA), a major variety of Najdi Arabic. Data were collected from 31 native QA speakers from three different generations. Qualitative data collection included both structured and semi-structured interviews along with the researchers’ observations. A mixed analysis approach was used, allowing for both qualitative and descriptive quantitative analysis. Two important points arose from the findings. First, QA exhibits a hybrid morphophonological system and, hence, adopts different trilateral perfect passive patterns (TPPPs), which diverge from those in Modern Standard Arabic in their template and prosodic structures as well as in the morphophonological processes applied to derive these patterns. Second, the study confirms that one feature of a language is changeability since the pattern of TPPVs in QA reveals several diachronic changes among the generations of QA speakers. It is hoped that these findings will add notable insights to the literature on QA, and to the passive construction in particular.

A thematic analysis of Instagram’s gendered memes on COVID-19

We investigate the gendered use of Instagram memes on COVID-19 using a mixed-analysis approach. We find that memes referencing women are mostly related to community support and healthcare, which often express gratitude for frontline workers, while the majority of memes on men refer to news and promotion as well as suffering due to the high death rates and other financial hardships. As for sexual and gender minorities, memes mostly mention community support similar to the case of the memes referencing women. We argue that internet memes offer insight into ongoing trends in the public’s perceptions of pandemics, and they should be further examined because they often communicate vital information on gender groups and public health.

Defining the big social data paradigm through a systematic literature review approach

PurposeThis study aims to investigate the Big Social Data (BSD) paradigm, which still lacks a clear and shared definition, and causes a lack of clarity and understanding about its beneficial opportunities for practitioners. In the knowledge management (KM) domain, a clear characterization of the BSD paradigm can lead to more effective and efficient KM strategies, processes and systems that leverage a huge amount of structured and unstructured data sources.Design/methodology/approachThe study adopts a systematic literature review (SLR) methodology based on a mixed analysis approach (unsupervised machine learning and human-based) applied to 199 research articles on BSD topics extracted from Scopus and Web of Science. In particular, machine learning processing has been implemented by using topic extraction and hierarchical clustering techniques.FindingsThe paper provides a threefold contribution: a conceptualization and a consensual definition of the BSD paradigm through the identification of four key conceptual pillars (i.e. sources, properties, technology and value exploitation); a characterization of the taxonomy of BSD data type that extends previous works on this topic; a research agenda for future research studies on BSD and its applications along with a KM perspective.Research limitations/implicationsThe main limits of the research rely on the list of articles considered for the literature review that could be enlarged by considering further sources (in addition to Scopus and Web of Science) and/or further languages (in addition to English) and/or further years (the review considers papers published until 2018). Research implications concern the development of a research agenda organized along with five thematic issues, which can feed future research to deepen the paradigm of BSD and explore linkages with the KM field.Practical implicationsPractical implications concern the usage of the proposed definition of BSD to purposefully design applications and services based on BSD in knowledge-intensive domains to generate value for citizens, individuals, companies and territories.Originality/valueThe original contribution concerns the definition of the big data social paradigm built through an SLR the combines machine learning processing and human-based processing. Moreover, the research agenda deriving from the study contributes to investigate the BSD paradigm in the wider domain of KM.

A mixed analysis approach to elucidate the multiple chronic condition experience of English- and Spanish-speaking older adults.

BackgroundHaving multiple chronic conditions (MCCs) is the most common health condition in older adults. The management of each condition presents many challenges. A key factor in patients’ ability to manage their own health care is their level of health literacy.PurposeThe purpose of this mixed analysis study was to elucidate the experience of older adults living with MCCs and identify associations among the experiences to determine targets for future mobile health (mHealth) interventions focused on MCCs and health literacy.Participants and methodsUsing the Abilities, Skills, and Knowledge Model as a framework, semi-structured interviews were completed with 25 older adults in English and Spanish. Interviews were analyzed using inductive thematic analysis and hierarchical cluster analysis.ResultsThe main themes from these results included 1) Reflections of chronic disease; 2) Emotional aspects of chronic disease; 3) Physical barriers to well-being; 4) Quality-of-care factors; and 5) Cognitive strategies for self-management. Qualitative results highlighted the importance of a multi-targeted approach to chronic disease self-management (CDSM). Cluster analysis identified associations within the qualitative data, revealing the importance of the subthemes related to coping with pain and the impact of the patient–provider relationship on treatment adherence.ConclusionResults support the utility of mHealth interventions to improve health literacy and promote CDSM.

PERCEPTION OF STUDENTS TOWARDS EFFECTIVE TEACHING IN HIGHER EDUCATION: A MIXED ANALYSIS APPROACH

Higher education is the source or feeder system in all works of life and therefore supplies the much-needed human resources in management, planning, designing, teaching and research. Scientific and technological advancements and economic growth of a country are as dependent on higher education system. This paper presents an investigation carried out to determine the perception of students regarding effective teaching in higher education. The research was conducted using data, collected from 100 participants of Guru Nanak Dev University, Amritsar. A mixed analysis approach was used that includes both the qualitative as well as quantitative methods for data analysis. The findings of the study qualitatively showed that the gender wise overall 69% female students and 55% male students,Qualification wise 82% undergraduate students and 83% post-graduate students and the stream wise 59% arts, 59% science and 58% commerce students agree with the effective teaching in higher education. Further the results were strengthened by using quantitative data analysis. Quantitatively t-test was conducted on the data to verify the perception of participants and the results reveal that there is significant difference between the perceptions of the male and female student towards effective teaching in Higher education. Moreover, there is no significant difference of student’s perception on the basis of their academic qualification and streams towards effective teaching in higher education.