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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.

Although China has instituted compulsory education through Grade 9, it is still unclear whether students are, in fact, staying in school. In this paper, the authors use a multi-year (2003–2011) longitudinal survey data set on rural households in 102–130 villages across 30 provinces in China to examine the extent to which students still drop out of school prior to finishing compulsory education.

To examine the correlates of dropping out, the study uses ordinary least squares and multivariate probit models.

Dropout rate from junior high school was still high (14%) in 2011, even though it fell across the study period. There was heterogeneity in the measured dropout rate. There was great variation among different regions, and especially among different villages. In all, 10% of the sample villages showed extremely high rates during the study period and actually rose over time. Household characteristics associated with poverty and the opportunity cost of staying in school were significantly and negatively correlated with the completion of nine years of schooling.

The findings of this study suggest that China needs to take additional steps to overcome the barriers keeping children from completing nine years of schooling if they hope to either achieve their goal of having all children complete nine years of school or extend compulsory schooling to the end of twelfth grade.

The authors seek to measure the prevalence of both compulsory education rates of dropouts and rates of completion in China. The study examines the correlates of dropping out at the lower secondary schooling level as a way of understanding what types of students (from what types of villages) are not complying with national schooling regulations. To overcome the methodological shortcomings of previous research on dropout in China, the study uses a nationally representative, longitudinal data set based on household surveys collected between 2003 and 2011.

On the theoretical level, this chapter examines the mechanisms through which cultural and financial capital affects educational outcomes in different institutional contexts. On the methodological level, the central question in this chapter is how to resolve concerns in comparative analyses of educational attainment, such as variations in enrolment rates and study program duration across institutional settings. On the empirical level, the chapter asks whether family background predicts educational attainment in similar ways in two diametrically opposed welfare states: the United States and Norway. Differences in dropout from higher education were compared using nationally representative longitudinal data from the United States and Norway and event history and multilevel modelling techniques. The chapter also makes use of the standardized sheaf coefficient to summarize central background variables for more direct comparison of effect sizes. The findings show that whereas parents’ education level has strikingly similar effects on students’ dropout probabilities in the two countries, the effect of parents’ income varies substantially according to the institutional context. The chapter concludes that in comparative analyses of inequality in education the value of different types of family resources must be understood in light of the concrete, practical constraints of the national institutional contexts.

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.

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.

It is common for people to view dropping out of substance misuse treatment as an unsuccessful attempt at recovery. The existing literature emphasises that those who drop out of treatment do worse than those who complete their treatment programme. More recently, however, those who discharge early are faring better than ever before.

In total, 13 service users who discharged early from three residential therapeutic communities were interviewed over the phone to discuss life after treatment. Interview transcripts were analysed using thematic analysis and found four main themes evidencing that “unsuccessful” really can be successful.

The study unearthed significant findings in the area of motivation for continued recovery in that 85 per cent of the sample were actively accessing further substance misuse treatment after leaving the service early. Five participants who had entered treatment as opiate users were all abstaining from Class A drugs at the time of interview; indeed 100 per cent of the sample were opiate free. Furthermore, self-reported psychological health had improved following discharge by 78 per cent.

Recent changes in policy and treatment design within drug treatment services may explain such positive outcomes in that a more responsive programme allows people to gain skills and make changes in a shorter time frame.

Indeed, improved early discharge procedures and increased links to aftercare and follow on treatment may have impacted on this finding.

This study therefore proposes the notion of “right dose of treatment” as opposed to “time in treatment” and highlights the importance of exit procedures and aftercare.

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 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.

Although our society has made college more universal through vastly increased access to postsecondary education, college completion has stagnated, and the return on a college degree varies by field of study. Therefore, gaining admission to college – even a four-year college – is no longer a guaranteed ticket to social mobility. As colleges and universities attract and enroll more diverse populations of students, the barriers to student success once enrolled remain prominent concerns. To explore stratification processes regarding student success, choice of major, and completion, interviews were conducted with 41 low-income students at a large research university. These interviews illustrate the ways that students’ aspirations are lowered after entering college and how the cooling-out process functions within STEM majors. The primary catalyst facilitating the lowering of student aspirations and migration out of STEM majors was negative experiences in introductory math and science courses. Students responded to this catalyst by either lowering their aspirations or changing their behavior to improve performance in those courses. Students who were able to persist in STEM majors had a family member or mentor who helped them to frame the problem as a reflection of their behavior, not their innate ability, and to strategize behavioral changes. Institutional agents played both the role of support which helped some students maintain their aspirations and the role of steering students out of STEM illustrating the importance of the messages we send as advisors, student affairs professionals, or faculty. These findings demonstrate the ways in which the cooling-out process works in four-year institutions to perpetuate structures of opportunity within degree attainment and access to elite careers.

The purpose of this paper is to use cloud storage in digital preservation by analyzing the pricing and data retrieval models. The author recommends strategies to minimize the costs and believes cloud storage is worthy of serious consideration.

Few articles have been published to show the uses of cloud storage in libraries. The cost is the main concern. An overview of cloud storage pricing shows a price drop once every one or one-and-a-half years. The author emphasize the data transfer-out costs and demonstrate a case study. Comparisons and analysis of S3 and Glacier have been conducted to show the differences in retrieval and costs.

Cloud storage solutions like Glacier can be very attractive for long-term digital preservation if data can be operated within the provider’s same data zone and data transfer-out can be minimized.

Institutions can benefit from cloud storage by understanding the cost models and data retrieval models. Multiple strategies are suggested to minimize the costs.

The paper is intended to bridge the gap of uses of cloud storage. Cloud storage pricing especially data transfer-out pricing charts are presented to show the price drops over the past eight years. Costs and analysis of storing and retrieving data in Amazon S3 and Glacier are discussed in details. Comparisons of S3 and Glacier show that Glacier has uniqueness and advantages over other cloud storage solutions. Finally strategies are suggested to minimize the costs of using cloud storage. The analysis shows that cloud storage can be very useful in digital preservation.