In the course of our supervisory work over the years, we have noticed that qualitative research tends to evoke a lot of questions and worries, so-called frequently asked questions (FAQs). This series of four articles intends to provide novice researchers with practical guidance for conducting high-quality qualitative research in primary care. By ‘novice’ we mean Master’s students and junior researchers, as well as experienced quantitative researchers who are engaging in qualitative research for the first time. This series addresses their questions and provides researchers, readers, reviewers and editors with references to criteria and tools for judging the quality of qualitative research papers. The second article focused on context, research questions and designs, and referred to publications for further reading. This third article addresses FAQs about sampling, data collection and analysis. The data collection plan needs to be broadly defined and open at first, and become flexible during data collection. Sampling strategies should be chosen in such a way that they yield rich information and are consistent with the methodological approach used. Data saturation determines sample size and will be different for each study. The most commonly used data collection methods are participant observation, face-to-face in-depth interviews and focus group discussions. Analyses in ethnographic, phenomenological, grounded theory, and content analysis studies yield different narrative findings: a detailed description of a culture, the essence of the lived experience, a theory, and a descriptive summary, respectively. The fourth and final article will focus on trustworthiness and publishing qualitative research.
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The main goal of this study was to investigate if a computational analyses of text data from the National Student Survey (NSS) can add value to the existing, manual analysis. The results showed the computational analysis of the texts from the open questions of the NSS contain information which enriches the results of standard quantitative analysis of the NSS.
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In this paper we present data on 407 homeless adults who have just entered theDutch social relief system. We examined their personal goals of homeless adults and the association between their perceived goal related self-efficacy and their quality of life. Based on a hierarchical regression analysis we analyzed the association between quality of life and goal related self-efficacy, relative to factors contributing to quality of life, such as demographic characteristics, socio-economic resources, health and service use. We found that the majority of homeless adults entering the social relief system have personal goals regarding socio-economic resources and their goal related self-efficacy is positively related to quality of life. Based on these findings we argue that it is important to take the personal goals of homeless people as the starting point of integrated service programs and to promote their goal related self-efficacy by strengths-based interventions.
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In line with European sustainability goals, small and medium sized enterprises (SMEs) in the Dutch automotive aftermarket face the challenge of maintaining competitiveness while transitioning to circular business models. These models, supported by EU policies such as the Circular Economy Action Plan and the European Green Deal, drive innovation in product lifecycle management, recycling, and sustainability. However, as SMEs adapt to these changes, they must also navigate the growing competition from imported Chinese electric vehicles (EVs), which bring both opportunities and risks. Logistics plays a critical role in this transition, as optimizing supply chains, enhancing resource efficiency, and minimizing waste are essential for achieving circularity. Will the Chinese car manufacturers move their value chain to Europe? Or will they further localize in aftersales businesses? Either scenario would affect a chain of SMEs in automotive aftermarket. Focusing on the auto parts SMEs in the Brainport region, this research examines how SMEs can stay competitive by leveraging logistics strategies to support circular practices, and navigate the challenges posed by the influx of Chinese EVs while remaining resilient and adaptable in the automotive aftermarket value chain. Together with our consortium partners, we help the regional SMEs in the automotive aftermarket with: 1. Mapping out logistical challenges and objectives, 2. Risk mitigation and demand planning, 3. Strategic supply chain development. Involving Fontys International Business graduation projects on data analysis, this project combines quantitative and qualitative insights to examine the transition of automotive aftermarket to an EV-dominated future. The SMEs in our consortium network are drive to adapt to the evolving landscape by investing in new measures. Through scenario assessment, we help them with scenario strategies in circular transition. For a broader impact, this project brings SMEs, branch and public organizations together and presents shared responsibilities in creating a resilient supply chain.
Plastic waste is one of the largest environmental problems in the 21st century. By 2050, up to 12,000 Mt of plastic waste is estimated to be in landfills or in the natural environment. Biochemical recycling by using modified microbial enzymes have shown potentials in the back-to-monomer (BTM) recycling of polyethylene terephthalate by breaking down the polymers into re-usable monomers. These enzymes can be produced via fungal species. In order to make this biochemical BTM process viable a process integrated enzyme production is key in increasing the efficiency and reducing the cost of enzymes. For this a molecular monitoring method, such as RNA-seq (RNA-sequencing), is needed. RNA-seq can achieve a snapshot on enzyme producing process inside of the cell by semi-quantitatively measuring the volume of enzyme encoding RNAs. This information can bring hints on fungal strain improvement by promoting the desired enzymes. It also helps to instantly monitor the BTM production outcomes. However, conventional RNA-seq platforms can only be performed via service providers or startup investments reaching 2 million euros. Each round of analysis could take as long as 6 weeks turnaround time. Furthermore, the method creates huge amount of complicated datasets, only by expert skills and specialized high performance computing the data can be sorted in a comprehensive manner. To solve these problems, in this project, by combining the expertise on plastic end-of-life control, fungal enzyme production, molecular monitoring and Bioinformatics from both the UAS and SME sides, we aim to implement a novel RNA-seq based system to monitor the in-process enzyme production for plastic degradation. We will optimize the existing portable RNA-seq prototype machinery for semi-real time monitoring of the BTM recycling process. The downstream data will be handled by a tailored analysis pipeline designed with expert knowledge via an user-friendly interface.
Circular agriculture is an excellent principle, but much work needs to be done before it can become common practice in the equine sector. In the Netherlands, diversification in this sector is growing, and the professional equine field is facing increasing pressure to demonstrate environmentally sound horse feeding management practices and horse owners are becoming more aware of the need to manage their horses and the land on which they live in a sustainable manner. Horses should be provided with a predominantly fibre-based diet in order to mimic their natural feeding pattern, however grazing impacts pasture differently, with a risk of overgrazing and soil erosion in equine pastures. Additionally, most horses receive supplements not only with concentrates and oils, but also with minerals. Though the excess minerals are excreted in the manure of horses, these minerals can accumulate in the soil or leach to nearby waterways and pollute water resources. Therefore, the postdoc research aims to answer the main question, “What horse feeding practices and measurements are needed to reduce and prevent environmental pollution in the Netherlands?” The postdoc research is composed of two components; a broad survey-based study which will generate quantitative data on horse feeding management and will also obtain qualitative data on the owners’ engagement or willingness of horse owners to act sustainably. Secondly, a field study will involve the collection of detailed data via visits to horse stables in order to gather data for nutritional analysis and to collect fecal samples for mineral analysis. Students, lecturers and partners will actively participate in all phases of the planned research. This postdoc research facilitates learning and intends to develop a footprint calculator for sustainable horse feeding to encompass the complexity of the equine sector, and to improve the Equine Sports and Business curriculum.
