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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.

Research on the association between individual characteristics of undergraduate students, drop-out and delayed graduation is still evolving. Therefore, further evidence is required. The paper aims to discuss this issue.

This paper reports on an empirical study examining the relationship between students’ individual characteristics and delayed graduation. The analysis is based on a sample of 1,167 students who have registered on and have completed a full-time undergraduate programme in Italy. Using a Probit model, the findings document the individual, background and environmental indicators that play a role in explaining delayed graduation.

The study observes that students who commute to university perform better than those residing on campus. Other factors increasing the probability of completing the undergraduate programme on time include individual characteristics (e.g. gender and age), student background (family income, education), institutional environment (teaching and research quality) and student satisfaction. Finally, some policy implications are discussed.

A direct policy implication of these findings is that supporting academic staff in order to enhance their performance in both research and teaching has a positive effect on the performance of the students.

This paper contributes to the debate on the impact of institutional quality on students’ performance, aiming to address the question of balance between teaching and research orientation.

The purpose of this paper is to outline the development, structure, and implementation of a new programme for domestic abuse (DA) perpetrators.

A needs-led DA perpetrator programme is proposed, named as “Up2U: Creating Healthy Relationships” (Up2U). The background to Up2U, its aims, configuration, and delivery methods are presented in this paper. To illustrate Up2U, the targets for change and referral population in the development site are discussed. Furthermore, the paper reflects on some of the implementation decisions and the steps taken towards evaluating the impact of Up2U in the development site.

Research supports provision of treatment targeting perpetrators’ criminogenic needs, delivered with responsivity to their learning styles, at an intensity that matches their risk. Change on treatment targets can be evaluated in the context of differences in recidivism outcomes to help assess whether impact can be attributed to the programme. It can also serve as a more proximal index of success/failure for individual clients. Such implementation and evaluation decisions are a benefit of the present researcher-practitioner partnership.

Up2U is innovative by being risk-and needs-led rather than taking a gendered approach to DA treatment, and this new evidence-based approach may reduce partner abuse. This is the first paper to outline Up2U’s structure, content, implementation, and measurement.

Children experience trauma more often than many early childhood educators realize. As many as 26% of children experience multiple trauma events such as abuse, neglect, parental substance abuse, parental incarceration, and so forth. Trauma impacts brain development in many negative ways that may have serious consequences on the child’s ability to learn, grow socially and emotionally, and develop physically. These brain changes also change how the child will play in the early childhood classroom, and information is given to help recognize the signs of trauma in children. The early childhood educator can make trauma-sensitive modifications in the classroom to assist the traumatized child’s ability to play out the problem. School counselors can be a resource for assisting early childhood teachers when working with traumatized children. A brief description of the importance of play therapy as a developmentally appropriate method to help traumatized young children is provided.

This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability.

The real-world samples comprised the enrolled records of 2,412 first-year students of a private university (UNI) in Taiwan. This work utilized decision trees (DT), multilayer perceptron (MLP) and logistic regression (LR) algorithms for constructing EPMs; under-sampling, random oversampling and synthetic minority over sampling technique (SMOTE) methods for solving data imbalance problems; accuracy, precision, recall, F1-score, receiver operator characteristic (ROC) curve and area under ROC curve (AUC) for evaluating constructed EPMs.

DT outperformed MLP and LR with accuracy (97.59%), precision (98%), recall (97%), F1_score (97%), and ROC-AUC (98%). The top-ranking factors comprised “student loan,” “dad occupations,” “mom educational level,” “department,” “mom occupations,” “admission type,” “school fee waiver” and “main sources of living.”

This work only used enrollment information to identify dropout students and crucial factors associated with dropout probability as soon as students enter universities. The extracted rules could be utilized to enhance student retention.

Although first-year student dropouts have gained non-stop attention from researchers in educational practices and theories worldwide, diverse previous studies utilized while-and/or post-semester factors, and/or questionnaires for predicting. These methods failed to offer universities early warning systems (EWS) and/or assist them in providing in-time assistance to dropouts, who face economic difficulties. This work provided universities with an EWS and extracted rules for early dropout prevention and intervention.

Despite the growing competition between higher education institutions and the empirical evidence that the brand is a relevant determinant of consumer preference, research studies on negative consumer–brand relationships (CBRs) are still scarce. Thus, this research intends to fill this gap, determining the antecedents of brand hate in educational institutions and identifying gender differences regarding the determinants of brand hate.

A survey was carried out with 450 current students from higher education institutions. The proposed model was tested using partial least squares structural equation modeling (PLS-SEM) in SmartPLS3.

According to the results, previous negative experiences are the most significant driver of brand hate, with higher emphasis on male students. In this sense, investment in customer experience management (CXM) consists of a relevant strategy for higher education institutions. It was also observed that female students develop hate for ideological incongruity (ethical/moral behavior) and symbolic incongruence (lack of brand identity), revealing unprecedented facets of the phenomenon.

This research extends the studies’ negative CBRs to educational institutions. It explores gender differences related to brand hate; a topic not explored before, but that enables a targeted approach of brand strategies. Finally, it provides managerial implications allowing the strategy to reduce negative CBRs and their consequences in educational institutions.

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.

In the evaluation of most interventions in criminal justice settings, evaluators have no control over assignment to treatment and control/comparison conditions, which means that the treated and comparison groups may have differences that lead to biased conclusions regarding treatment effectiveness. Propensity score analysis can be used to balance the differences in the groups, which can be used in a number of ways to reduce biased conclusions regarding effectiveness. A review of propensity scoring studies was conducted for this chapter, where the limited number of evaluations of criminal justice interventions using these methods was identified. Due to the small number of these studies, research was also reviewed if propensity scoring had been employed to evaluate interventions that are similar to those in criminal justice systems. These studies are used as examples to demonstrate how the methods can be used to evaluate criminal justice interventions, the different ways propensity scores can be used to analyse treatment and comparison group differences, and the strengths and limitations of this approach. It is concluded that, while not appropriate for all interventions/settings, propensity score analysis can be useful in criminal justice arenas, at least to investigate the comparability of treatment and comparison groups, with suspected non-comparability being a common weakness of traditional quasi-experimental studies and frequently cited limitation in terms of drawing efficacy conclusions from such evaluations.

This longitudinal study assesses whether higher education has the same impact on the entrepreneurial intentions of women and men with regard to their propensity to risk-taking in particular.

A self-administrated survey instrument was used to collect data from students studying business and engineering at five selected universities in Turkey. The survey was carried out in two intervals: first year and fourth year of studies. A total of 215 student participated in both waves.

The findings indicate that the impact of education is stronger for women than for men as the relationship between gender and entrepreneurial intention is moderated by education and risk-taking propensity in that the entrepreneurial intention of women with high or low risk-taking propensity increases when they acquire higher education. In particular, the boost is more noticeable for women with low risk-taking propensity. On the contrary, the effect of education is negative for men with both high risk-taking propensity and low risk-taking propensity.

This study has identified that the impact of education is different for women and men. Based on these findings, Turkey could offer gender-specific entrepreneurship education in higher education for individuals who could then exploit their entrepreneurial capacity and thus contribute to the social and economic well-being of the country.

This paper makes two distinct contributions. First, this is one of the few longitudinal studies in the literature which demonstrates the differences between females and males in terms of their entrepreneurial intention and shows how risk-taking and education influence entrepreneurial intention. Second, it offers new insights into entrepreneurship research from a developing-country but emerging-economy context.