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Doctoral education in Europe: models and propositions for transversal skill training

transversal study design

These data would be helpful to a health planner to assess the need for a school eye health program, and to know the proportion of children in her jurisdiction who would need corrective glasses. Finally, the figure below will help you with your understanding of different types of study designs. In these studies, researchers study one group of people who have developed a particular condition and compare them to a sample without the disease. Cohort studies, on the other hand, begin by selecting a population of individuals who are already at risk for a specific disease. Cross-sectional studies can be done much quicker than longitudinal studies and are a good starting point to establish any associations between variables, while longitudinal studies are more timely but are necessary for studying cause and effect. However, cross-sectional studies differ from longitudinal studies in that cross-sectional studies look at a characteristic of a population at a specific point in time, while longitudinal studies involve studying a population over an extended period.

COHORT STUDIES

These were the main objectives of a study conducted in Continuing Vocational Education and Training (CVET) in Spain by París, Tejada and Coiduras (2018). Based on the results, three professional profiles were defined (training manager, trainer and mentor) with their respective functions, professional activities and specific and transversal competences. The authors concluded that the delimitation of the occupational profiles prevents professional intrusion, provides guarantees for quality professional work, and establishes levels of qualification, certification and accreditation to recruit competent professionals. This blog introduces prospective and retrospective cohort studies, discussing the advantages, disadvantages and use of these type of study designs. A cohort study is a type of longitudinal study that samples a group of people with a common characteristic.

Subjectivity and transversality in mental health research: towards a post-qualitative analysis of voyeurism

The measurement bias in this study would relate to the accuracy of measurement and the cutoff used. If the investigators had used a cutoff of −0.25 D (instead of −0.50 D) to define myopia, the prevalence would have been higher. Furthermore, if the measurements were not done accurately, some cases with myopia could have been missed, or vice versa, affecting the study results.

Exposure vs Outcome

Recent census data is not provided on individuals, for example in the UK individual census data is released only after a century. For example, data only on present alcohol consumption and cirrhosis would not allow the role of past alcohol consumption, or of other causes, to be explored. It is often suggested that the German dual VET system should be transferred to other countries. Among its benefits, many experts claim that this would stimulate economic growth in the importing countries and contribute to the reduction of youth unemployment rate (Alemán 2015; Euler 2013; Graf et al. 2014). Despite the considerable effort from some governments, the results show that importing a system, involves more than mere duplication. This blog summarizes the concepts of cluster randomization, and the logistical and statistical considerations while designing a cluster randomized controlled trial.

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This paper offers insights into the challenge of resisting voyeurism in mental health research, whilst contributing to recent efforts to draw a post-qualitative research methodology out of Deleuze and Guattari’s work. Our analysis is motivated by a profound rupture, a break in the trajectory of a specific line of qualitative inquiry occasioned by the passionate refusal of a participant in the empirical study that grounds this paper. Borrowing conceptual and analytical tools from Deleuze and Guattari, we focus on the major ethical and methodological implications of this participant’s refusal.

Origins and early development

In such cases, analyses are also subject to selection and information bias as well as confounding. Nested case-control design is a special type of case-control study design which is built into a cohort study. From the main cohorts, participants who develop the outcome (irrespective of whether exposed or unexposed) are chosen as cases. From among the remaining study participants who have not developed the outcome, a subset of matched controls are selected. This is still a backward-direction (since the enquiry begins with outcome and then proceeds toward exposure) and retrospective study (since outcomes have already occurred when the study starts). The main advantage is that since one knows that the outcome had not occurred when the cohorts were established, temporal relation of exposure and outcome is ensured.

What Is a Longitudinal Study? - Verywell Mind

What Is a Longitudinal Study?.

Posted: Sat, 02 Dec 2023 08:00:00 GMT [source]

Propositions for transversal skill training

It studies design as ethics, its role in sustainability (social and environmental), and the nature of agency in design's construction the artificial. According to Baumeler (2019), studies that investigated the transfer of the dual VET model to other countries came to the conclusion that only certain elements might be successfully implemented and the model needed to be adapted to each country. (Euler 2013; Fortwengel and Jackson 2016; Graf et al. 2014; Powell and Fortwengel 2014). Descriptive studies are useful for estimating the burden of disease (e.g., prevalence or incidence) in a population.

transversal study design

One key difference is that cross-sectional studies measure a specific moment in time, whereas cohort studies follow individuals over extended periods. For example, Anderson et al. conducted a case–control study to look at risk factors for childhood fractures.[3] They recruited cases from a hospital fracture clinic and individually matched controls (children without fractures) from a primary care research network. They found that the history of previous use of vitamin D supplements was significantly higher in the children without fractures, suggesting an inverse association between vitamin D supplementation and incidence of fractures. Conversely, the study also allows comparisons between patients and non-patients, who were exposed to an alleged risk factor5. The main characteristic of cross-sectional studies is that the observation of variables, whether they are cases, individuals, or other types of data, is performed in a single moment (the same), when the researcher records a "photograph" of the facts (variables) of interest and not the "movie" of its evolution1,2.

Inferences about individuals based on aggregate data are weakened by the ecological fallacy. Also consider the potential for committing the “atomistic fallacy” where assumptions about aggregated counts are made based on the aggregation of individual level data (such as averaging census tracts to calculate a county average). For example, past alcohol consumption may be incorrectly reported by an individual wishing to reduce their personal feelings of guilt. Such bias may be less in routinely collected statistics, or effectively eliminated if the observations are made by third parties, for example taxation records of alcohol by area. Descriptive studies can be of several types, namely, case reports, case series, cross-sectional studies, and ecological studies.

This study provides relevant ideas for faculty, industry and doctoral students on enhancing the employability of doctoral graduates through the development of transversal skills. Finally, in relation to the implementation of transversal competences in VET models, we would like to highlight that nowadays, countries with well-developed VET systems present lower youth unemployment and policymakers are exploring the possibility to transfer this successful model to their countries. There is a general perception that the key for success lies in the curricula of VET programs and the combination of theoretical knowledge with internships. Nevertheless, we agree with Renold et al. (2018) in stating that the difference is on the level of relationship among all the actors in education and employment systems, emphasizing the need for collaboration among the different stakeholders to adapt these models to the real situation in each country.

The authors did, subsequently in the paper, look at the relationship of myopia (an outcome) with children's age, gender, socioeconomic status, type of school, mother's education, etc. (each of which qualifies as an exposure). Those parts of the paper look at the relationship between different variables and thus qualify as having “analytical” cross-sectional design. Let us look at a study that was aimed to assess the prevalence of myopia among Indian children.[7] In this study, trained health workers visited schools in Delhi and tested visual acuity in all children studying in classes 1–9. Of the 9884 children screened, 1297 (13.1%) had myopia (defined as spherical refractive error of −0.50 diopters (D) or worse in either or both eyes), and the mean myopic error was −1.86 ± 1.4 D. Furthermore, overall, 322 (3.3%), 247 (2.5%) and 3 children had mild, moderate, and severe visual impairment, respectively. These parts of the study looked at the prevalence and degree of myopia or of visual impairment, and did not assess the relationship of one variable with another or test a causative hypothesis – these qualify as a descriptive cross-sectional study.

Based on the maternal serum 25-hydroxy vitamin D levels during pregnancy, children were divided into two groups – those born to mothers with normal blood vitamin D and those born to mothers with low blood vitamin D. The authors found that children born to mothers with low vitamin D levels had persistent bone abnormalities. Cross-sectional studies have their great use in descriptive studies, while used in studies that are proposed to be analytical, the results must be interpreted by researchers with good experience in that specific field of knowledge, using a lot of caution and common sense. In addition to statistical associations, this type of analysis also allows us to calculate the Prevalence Ratio (PR), defining whether and in which group it is higher. Assuming that it was the same, the result of the division (ratio) of the prevalence of the risk group by that of the risk-free group would be "1".

Vocational Education and Training (VET) is a key element of lifelong learning systems that aims to equip people with the technical knowledge, expertise, skills and competences required on the labour market and, at the same time, with the personal skills for their future lives in society. Despite its importance, in many countries participation in VET has traditionally been stigmatized in favor of university studies, although the recent socio-economic transformations are changing attitudes toward VET (Aldossari 2020). A cohort is defined as a “group of people with a shared characteristic.” In cohort studies, different groups of people with varying levels of exposure are followed over time to evaluate the occurrence of an outcome. The subjects are then followed up over time (longitudinally) to determine the occurrence of the outcome.

In this model it is also possible to analyze from the outcome, calculating the ratio (quotient) between the proportions of individuals who have exposure to the risk factor in the group with the outcome, the disease, for example, and the group that does not have the outcome. The calculated result is called Odds Ratio (OR), an estimator that is used as an approximation to Relative Risk (RR). When the proportions of the two groups are equal, the result of the OR will be "1", indicating that there is no association between the disease and the exposure to the factor that was supposed to be at risk.

In the EU, the Marie Curie Initial Training Networks provides doctoral candidates with mobility and networking opportunities to enhance research and transversal skills development, joint collaborative research and graduate employability (EC, 2011b). We agree with the idea that internships are a key factor for integration in the work market. Internships allow students to apply the theoretical knowledge acquired in class, to develop and reinforce the professional skills in the workplace and they also offer the possibility of demonstrating their abilities and skills to entrepreneurs.

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