Adaptive survey design has attracted great interest in recent years, but the number of case studies describing actual implementation is still thin. Reasons for this may be the gap between survey methodology and data collection, practical complications in differentiating effort across sample units and lack of flexibility of survey case management systems. Currently, adaptive survey design is a standard option in redesigns of person and household surveys at Statistics Netherlands and it has been implemented for the Dutch Health survey in 2018. In this article, the implementation of static adaptive survey designs is described and motivated with a focus on practical feasibility.
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PurposeTo support the development and implementation of exercise programming for people with prostate cancer (PC), we investigated their views on exercise.MethodsOnline survey with open recruitment. We collected data on clinical and sociodemographic variables, experiences with exercise advice, outcome expectations, and preferences. We explored determinants of (1) having been counselled about exercise and (2) preferring supervised exercise.ResultsThe survey was completed by 171 patients (mean age = 70 years, SD = 6.5) from all PC treatment pathways. Sixty-three percent of the respondents reported never having been informed about the potential benefits of exercise. Forty-nine percent preferred exercise to be supervised. Respondents generally reported a positive attitude towards exercise. Seventy-four percent indicated barriers to exercising, including fatigue and lack of access to specific programmes. Outcome expectations were generally positive but moderately strong. Receiving hormonal therapy and younger age were significantly associated with having received exercise advice. Being insured and having higher fatigue levels contributed significantly to the preference for supervised exercise.ConclusionDutch people with PC report receiving insufficient effective exercise counselling. Yet, they are open to exercise and expect exercise to improve their health, although they experience various barriers that limit their ability to exercise.Implications for Cancer SurvivorsThe moderate outcome expectations for exercise of people with PC and their limited recall of exercise counselling highlight the need for better integration of exercise in clinical pathways. The lack of access to specific programming limits the use of evidence-based exercise programmes for people with PC.
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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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Abstract Business Process Management (BPM) is an important discipline for organizations to manage their business processes. Research shows that higher BPM-maturity leads to better process performance. However, contextual factors such as culture seem to influence this relationship. The purpose of this paper is to investigate the role of national culture on the relationship between BPM-maturity and process performance. A multiple linear regression analysis is performed based on data from six different countries within Europe. Although the results show a significant relationship between BPM-maturity and process performance, no significant moderation effect of national culture has been found. The cultural dimension long term orientation shows a weak negative correlation with both BPM-maturity and process performance. Through a post-hoc moderation analysis on each dimension of BPM-maturity, we further find that long term orientation negatively moderates the relationship between process improvement and process performance. Three other moderation effects are also discovered. The results of this study contribute to insights into the role of culture in the field of BPM.
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Only a few efforts have been made to define competencies for epidemiologists working in academic settings. Here we describe a multi-national effort to define competencies for epidemiologists who are increasingly facing emerging and potentially disruptive technological and societal health trends in academic research. During a 1,5 years period, we followed an iterative process that aimed to be inclusive and multi-national to reflect the various perspectives of the diverse group of epidemiologists. Competencies were developed by a consortium in a consensus-oriented process that spanned three main activities: two in-person interactive meetings in Amsterdam and Zurich and an online survey. In total, 93 meeting participants from 16 countries and 173 respondents from 19 countries contributed to the development of 31 competencies. These 31 competencies included 14 on "Developing a scientific question" and "Study planning", 12 on "Study conduct & analysis", 3 on "Overarching competencies" and 2 competencies on "Communication and translation". The process described here provides a consensus-based framework for defining and adapting the field. It should initiate a continuous process of thinking about competencies and the implications for teaching epidemiology to ensure that epidemiologists working in academic settings are well prepared for today's and tomorrow's health research.
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This paper will describe the rationale and findings from a multinational study of online uses and gratifications conducted in the United States, Korea, and the Netherlands in spring 2003. A survey research method of study was conducted using a questionnaire developed in three languages and was presented to approximately 400 respondents in each country via the Web. Web uses and gratifications were analyzed cross-nationally in a comparative fashion and focused on the perceived involvement in different types of on-line communities. Findings indicate that demographic characteristics, cultural values, and Internet connection type emerged as critical factors that explain why the same technology is adopted differently. The analyses identified seven major gratifications sought by users in each country: social support, surveillance & advice, learning, entertainment, escape, fame & aesthetic, and respect. Although the Internet is a global medium, in general, web use is more local and regional. Evidence of media use and cultural values reported by country and online community supports the hypothesis of a technological convergence between societies, not a cultural convergence.
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L1 grammar teaching worldwide often takes the form of traditional grammar teaching with decontextualized parsing exercises and rules of thumb. Some researchers have proposed enriching such forms of grammar teaching by relating traditional grammatical concepts to underlying metaconcepts from linguistic theory. The merits of such an approach have become apparent in recent intervention studies, but the question remains how teachers perceive such forms of grammar teaching, which is of particular importance for curriculum development. The present study investigated Dutch teachers’ beliefs in focus groups and a national survey (N = 127). It is found that Dutch language teachers see important benefits of a metaconceptual approach to grammar teaching, particularly as a means to improve students’ grammatical understanding. However, results also indicate that while teachers may see clear pedagogical and conceptual advantages of working based on underlying metaconcepts, their own teaching practice appears to be much more traditional. This discrepancy is explained by assuming that contextual factors have a restraining effect on what teachers can or want to do in reality. Once such contextual factors no longer play a part, teachers’ views tend to be much more geared towards a metaconceptual approach. The paper concludes with some implications for future research.
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This data set contains the results of a survey about reviewing Data Management Plans (DMPs). The survey was carried out by the Research Support and Advice working group of the Dutch National Coordination Point Research Data Management (LCRDM). Sixty people shared their experiences and feedback on DMPs by responding to the survey. The data set contains a concise report, the survey questions and the anonymised data.
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The goal of this study was therefore to test the idea that computationally analysing the Fontys National Student Surveys (NSS) open answers using a selection of standard text mining methods (Manning & Schütze 1999) will increase the value of these answers for educational quality assurance. It is expected that human effort and time of analysis will decrease significally. The text data (in Dutch) of several years of Fontys National Student Surveys (2013-2018) was provided to Fontys students of the minor Applied Data Science. The results of the analysis were to include topic and sentiment modelling across multiple years of survey data. Comparing multiple years was necessary to capture and visualize any trends that a human investigator may have missed while analysing the data by hand. During data cleaning all stop words and punctuation were removed, all text was brought to a lower case, names and inappropriate language – such as swear words – were deleted. About 80% of 24.000 records were manually labelled with sentiment; reminder was used for algorithms’ validation. In the following step a machine learning analysis steps: training, testing, outcomes analysis and visualisation, for a better text comprehension, were executed. Students aimed to improve classification accuracy by applying multiple sentiment analysis algorithms and topics modelling methods. The models were chosen arbitrarily, with a preference for a low complexity of a model. For reproducibility of our study open source tooling was used. One of these tools was based on Latent Dirichlet allocation (LDA). LDA is a generative statistical model that allows sets of observations to be explained by unobserved groups that explain why some parts of the data are similar (Blei, Ng & Jordan, 2003). For topic modelling the Gensim (Řehůřek, 2011) method was used. Gensim is an open-source vector space modelling and topic modelling toolkit implemented in Python. In addition, we recognized the absence of pretrained models for Dutch language. To complete our prototype a simple user interface was created in Python. This final step integrated our automated text analysis with visualisations of sentiments and topics. Remarkably, all extracted topics are related to themes defined by the NSS. This indicates that in general students’ answers are related to topics of interest for educational institutions. The extracted list of the words related to the topic is also relevant to this topic. Despite the fact that most of the results require further human expert interpretation, it is indicative to conclude that 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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Abstract—A survey about radiation protection in pediatric radiology was conducted among 22 general and seven children’s hospitals in the Netherlands. Questions concerned, for example, child protocols used for CT, fluoroscopy and x-ray imaging, number of images and scans made, radiation doses and measures taken to reduce these, special tools used for children, and quality assurance issues. The answers received from 27 hospitals indicate that radiation protection practices differ considerably between general and children’s hospitals but also between the respective general and children’s hospitals. It is recommended that hospitals consult each other to come up with more uniform best practices. Few hospitals were able to supply doses that can be compared to the national Diagnostic Reference Levels (DRLs). The ones that could be compared exceeded the DRLs in one in five cases, which is more than was expected beforehand.
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