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Research demonstrates that non-attendance at healthcare appointments is a waste of scarce resources; leading to reduced productivity, increased costs, disadvantaged patients through increased waiting times and demoralised staff. The purpose of this paper is to investigate non-attendance and implemented interventions to improve practice.

A mixed methods service audit took place in a primary care psychological therapies service. Existing service guidelines and reporting systems were reviewed. A cross-sectional design was used to compare a year’s cohort of completers of cognitive behavioural therapy (CBT) (n=140) and drop-outs (n=61).

Findings suggested contrasting guidelines and clinically inaccurate reporting systems. The overall service did not attend (DNA) rate was 8.9 per cent; well below rates suggested in the literature. The drop-out rate from CBT was 17 per cent. The most influential factor associated with CBT drop-out was the level of depression. The level of anxiety, risk ratings and deprivation scores were also different between completers and drop-outs. The main reasons given for non-attendance were forgetting, being too unwell to attend, having other priorities, or dissatisfaction with the service; again these findings were consistent with prior research.

A range of recommendations for practice are made, many of which were implemented with an associated reduction in the DNA rate.

This study aims at developing an instrument to measure the latent trait propensity to drop out in face-to-face higher education.

Based on Tinto's student integration theory, a 27-item scale was created to measure student propensity to drop out of undergraduate programs. Item response theory was used to evaluate the psychometric analysis of the items. Furthermore, different methodologies were used to evaluate and provide evidence for content validity, response process validity, internal structure validity and criterion-related validity.

With the support of specialists in the construct, the interpretation of the scores for the use of the scale was defined in four levels of propensity: high, moderate, low and very low.

The latent trait propensity to drop out in face-to-face higher education allows the inclusion of new items and aspects in the instrument. Thus, it can be adapted to distance education.

The students' propensity to drop out score can be useful for researchers and administration units in colleges and universities in the planning of permanent institutional actions and programs to take preventive measures.

Minimize dropout in order to raise the educational level of the population and make better use of the resources invested in education.

This study points out when, why and how propensity to drop out can be measured and how scores can be interpreted in the context of the problem.

An ideal learning analytics tool for programming exercises performs the role of a lecturer who monitors the code development, provides customized support and identifies students at risk to drop out. But a reliable prediction and prevention of drop-out is difficult, due to the huge problem space in programming tasks and variety of solutions and programming strategies. The purpose of this paper is to tackle this problem by, first, identifying activity patterns that indicate students at risk; and, second, finding reasons behind specific activity pattern, for identification of instructional interventions that prevent drop-out.

The authors combine two investigation strategies: first, learning analytic techniques (decision trees) are applied on features gathered from students, while completing programming exercises, in order to classify predictors for drop-outs. Second, the authors determine cognitive, motivational and demographic learner characteristics based on a questionnaire. Finally, both parts are related with a correlation analysis.

It was possible to identify generic variables that could predict early and later drop-outs. For students who drop out early, the most relevant variable is the delay time between availability of the assignment and the first login. The correlation analysis indicates a relation with prior programming experience in years and job occupation per week. For students who drop out later in the course, the number of errors within the first assignment is the most relevant predictor, which correlates with prior programming skills.

The findings indicate a relation between activity patterns and learner characteristics. Based on the results, the authors deduce instructional interventions to support students and to prevent drop-outs.

This study aims to use pre‐treatment assessment scores to predict the drop out of 103 incarcerated male violent perpetrators undertaking a long‐term aggression programme, namely the Cognitive Self Change Programme (CSCP), in six English prisons. A hierarchy of best predictors of attrition in this sample is developed. Results found eight out of the 46 assessment variables analysed had a significant association with treatment drop out. Further to this, discriminant function analysis predicted group membership with 80% accuracy, successfully distinguishing perpetrators who dropped out of the programme from those who completed it. The findings support the use of identifying risk factors pre‐treatment to predict drop out and offer a practical way to identify group members who are likely to drop out of the CSCP in addition to identifying markers for programme improvement. The need for further research to increase our understanding of the underlying causal explanations that link specific assessment items to treatment dropout is discussed.

The purpose of this paper is to consider the enrolment at university and the subsequent possible dropout as a piece of the school-to-work transition and ask whether it improves or worsens the labour market outcomes a few years after graduation from the high school.

The analysis exploits data from the upper secondary graduate survey by ISTAT on a cohort of high school graduates and investigates the effect of dropping out four years after graduation. The labour market outcomes of university dropouts are compared to the outcomes of high school graduates who never enrolled at university. A propensity score matching approach is applied. The model is also estimated on the subsamples of males and females.

The findings show that spending a period at university and leaving it before completion makes the transition to work substantially more difficult. Both the probability of being NEET and getting a bad job increase in the case of dropout, while no relevant effect is found on earnings. Moreover, the impact of university dropout tends to be more harmful the longer the spell from enrolment to dropping out. Separate estimates by gender point out that females appear to be relatively more affected in the case of dropping out without a fallback plan.

While the existing studies in the literature on the school-to-work transition mostly focus on the determinants of the dropout, this paper investigates whether and how the employment outcomes are affected by dropping out in Italy. Moreover, university dropouts are compared to high school graduates with no university experience, rather than to university graduates. Finally, evidence on the mechanisms driving the effect of dropping out is provided, by considering timing and motivations for dropping out.

The aim of the paper is to identify the causal effect of the COVID-19 induced crisis on students' decisions about their educational plans. The authors hypothesise that students adjusted their decisions by delaying graduation, dropping out or change the field of education because of increased uncertainty about future employment and monetary returns.

The empirical approach is based on a survey done during the first wave of COVID-19 in Slovenia. The probability of dropping out, prolonging or stop-out is designed by applying probit and probit with insturmental variables empirical model.

Primary orientation towards work increases the probability of dropping out and financial constraints increase the probability of prolonging studies. The same holds after accounting for endogeneity. However, the authors do not find that poor job expectations due to COVID-19 affect students' decisions to prolong, drop-out or stop-out. The authors also find that the primary orientation toward work or study explains the differences in the probability of each outcome that is not influenced by enrolment in a particular field of study.

The results cannot be read as an objective prediction of the impact of the COVID-19 crisis on college failures. However, the study provides insight into how students' expectations change their intentions to prolong, drop-out, or stop-out during periods of high uncertainty. The extent, to which measured intentions are realised, however, is uncertain.

Understanding the response diversity and motives behind students' study decisions represents extremely valuable insights for economic policy. Mapped apprehensions, augmented by heterogeneity in personal and financial characteristics, are relevant for policymakers. In terms of future research, it would be interesting to analyse what changes occurred over a five-year period, specifically which field of study was most affected by students' adjusted plans due to the pandemic.

Students have always been a special group in the labour market. After the initial shock of closing activities, studying online and the drastic decrease in student work due to COVID-19, the decision was made in spring 2020 to continue on the chosen path or not. This paper provides insight into the changing decision students made about their educational plans.

This paper is one of the first to highlight the implications of COVID-19 for the adaptation of student plans in the transition from school-to work in Europe. It departs from the classical literature of college failures, as specific macroeconomic conditions influence students to reconsider their educational decisions. Moreover, the paper also contributes to the rapidly growing literature on the impact of the COVID-19 pandemic on household-level labour market outcomes, particularly with respect to job search and labour supply decisions in general.

This paper assesses the drop-out rate among disadvantaged students within vocational education and training. The purpose of this paper is to examine the probability of dropping out after school-based training for child welfare clients – a particularly disadvantaged group of youth. Child welfare clients’ drop-out rate is compared with students from a representative sample of their peers.

Average marginal effects were calculated from multinomial logistic regression models. Data were from public registries (n=10,535).

The results show that differences in observed characteristics cannot explain differences in drop-out rates between child welfare clients and the majority peers. It is argued that this drop-out rate is likely a result of employers favoring apprenticeship applicants who are similar to them or that child welfare clients lack networks, which previous research has identified as crucial in finding an apprenticeship.

The results suggest a need for action targeting disadvantaged youths in the transition that follows school-based training.

The paper adds to the very scarce literature on transition from school-based learning to apprenticeships.

The purpose of this paper is to compare the emotional competence of first year undergraduates enrolled on a high or low drop‐out rate (HDR and LDR, respectively) course, at a newly established university within the UK.

A mixed methods approach using both quantitative and qualitative data collection methods was used. The Trait Emotional Intelligence Questionnaire (TEIQue) established participants' emotional competence, and semi‐structured interviews were used to probe the findings from the TEIQue.

The results indicate that typical HDR course participants have high self‐esteem and a good level of interpersonal skills, but are controlled by their emotions and exhibit an external locus of control. This manifests itself in a distrust of peers as a source of support and a reactive attitude to self‐improvement. Typical LDR course participants have low self‐esteem and a good level of intrapersonal skills, but have developed the ability to control their emotions and exhibit an internal locus of control. This manifests itself in a high level of confidence in peers as a source of support and a proactive attitude to self‐improvement.

The paper contributes to the learning styles literature by investigating the impact of students' characteristic affective behaviours on their vulnerability to drop‐out.

Theoretical models of attrition have failed to address the interwoven factors from the perspective of undergraduate students that influence their decision to drop out. The purpose of this paper is to unravel these complexities using a qualitative phenomenological approach to gain systematic descriptions of the experience of non-completion.

Tinto’s (2004) and Bean and Metzner’s (1985) models serve as the theoretical construct for the study’s design and analysis. In-depth interviews were conducted with 41 students who discontinued studies at universities in the United Arab Emirates, to understand the situations that led them to drop out of university and how they experienced this event in their lives.

Several issues were identified as contributing factors for dropping out that are consistent with those found in the international literature. Additional issues were more gender or culture specific and, to some extent, represented the differences that signal a social development that is in a transitional stage. The findings revealed that institutional factors, poor pre-college preparation, environmental factors (work-education conflict), early marriage responsibilities, well-paid job opportunities and financial concerns were most influential.

Despite the limitations of relying on a small sample to generalize findings, the rich detail of this inductive study has added to the understanding of the dropout phenomenon in a new context.

The paper recommends both remedial and early intervention strategies to be undertaken by the Ministry of Education and universities. Remedial strategies include re-examining the desired standard of English as a condition for admission and adjusting the grading system. Early intervention measures that accommodate the needs of at-risk students are also proposed. At local, regional and international levels, higher education should be freed from commodification and inflated fees.

The paper presents a significant departure from the largely North American and European literature on the university dropout, by offering a broader knowledge of this phenomenon in another regional and national context.

The purpose of this paper is to provide evidence on labor market careers of dropouts with various levels of education.

The paper compares the labor market careers of dropouts and non-dropouts between ages 15 and 50 by using longitudinal data. The paper analyses how the results change when the authors control for differences in personality characteristics.

The paper finds that dropping out diminishes one's success in the labor market but this connection is reduced when the model is augmented with personality. Dropouts seem to have or lack certain personality characteristics that are associated with labor market success. These findings suggest that dropping out is either an adverse signal of non-cognitive skills and, thus, work performance and productivity, or personality characteristics are related to preferences toward career and work orientation, or both.

The paper analyses how the impact of dropping out on labor market outcomes changes when differences in personality characteristics are taken into account. The broad definition enables us to investigate how dropping out in general is related to labor market success.