The Academic Dropout Wheel Analyzing the Antecedents of Higher Education Dropout in Education Studies

Higher education dropout has been considered a major concern for several researchers in the field of education around the World. Although different studies were carried out to deal with the topic, they all faced common limitations. This paper explores the twofold research conducted to investigate higher education dropout in Education studies at two of the main Catalan public universities. First, a review of the different theoretical perspectives that tackled dropout was carried out to combine the direct and indirect dropout predictors. Second, some research was conducted in the faculties of Education in the selected two Catalan public universities to investigate the antecedents of higher education dropout. The utilized instrument discussed in this paper is the survey. In the first part, the predictors of higher education dropout were combined in a 5-layer model called the ¨Dimensions of Academic Dropout” wheel (Naaman, 2018). In the second part, the results of the survey analyzed quantitively revealed that dissatisfaction from the program and academic failure are the most important antecedents of higher education dropout in education studies in Catalonia.

Investigating Effectiveness and Predicting Outcome and Dropout From Systems Training for Emotional Predictability and Problem Solving for Emotional Intensity Difficulties (STEPPS EI) in UK Primary Care

Systems Training for Emotional Predictability and Problem Solving (STEPPS) for borderline personality disorder (BPD) has been adapted for a primary care setting into a 13-week group treatment for emotional intensity difficulties (STEPPS EI). This is the first study to examine the effectiveness and potential outcome and dropout predictors of STEPPS EI in a primary care setting. Severity of BPD, depression, and anxiety symptoms were measured pre- and postintervention for 148 participants. Treatment completers showed improvements in depression, anxiety, and BPD symptoms with medium to large effect sizes. A predictor of symptom improvement was higher baseline severity for each of the symptom measures. Attending a psychoeducational group prior to STEPPS EI was associated with lower odds of dropout. The findings support the use of STEPPS EI in a primary care setting, with the potential to alleviate the burden from other local services.

Dropout predictors at gyms: a retrospective study

ABSTRACT This study aimed to verify the risk factors associated with gym regulars’ dropout over 12 months. This is an observational, retrospective, cohort study. The sample consisted of two gyms (Gym 1: n=2027, age=39.1 ±13.1 years; Gym 2: n=1775, age=36.8 ±11.6 years). Each participant was followed up for 12 months, or until dropout, by controlling the biometric entry system using a turnstile. The adherence rate was of 11% at Gym 1 and 19% at Gym 2. At both gyms, training frequency ≤3x/month and 4-6x/month was associated with dropout. At gym 1, being a female, aged ≥43 years, and enrollment between October and December were dropout predictors. At Gym 2, dropout was associated with contract length ≤31 days and 32-186 days and enrollment between April and December.

Identification of dropout predictors to a community-based physical activity programme that uses motivational interviewing

Background: Participant dropout reduces intervention effectiveness. Predicting dropout has been investigated for Exercise Referral Schemes, but not physical activity (PA) interventions with Motivational Interviewing (MI). Methods: Data from attendees (n=619) to a community-based PA programme utilising MI techniques were analysed using a chi-squared test to determine dropout and attendance group differences. Binary logistic regression investigated the likelihood of dropout before 12-weeks. Results: 44.7% of participants dropped out, with statistical (P<0.05) differences between groups for age, PA, and disability. Regression for each variable showed participants aged 61-70 years (OR=0.28, CI=0.09 to 0.79; P=0.018), >70 years (OR=0.30, CI=0.09 to 0.90; P=0.036), and high PA (OR=0.40, CI=0.20 to 0.75; P=0.006) reduced dropout likelihood. Endocrine system disorders (OR=4.24, CI=1.19 to 19.43; P=0.036) and musculoskeletal disorders (OR=3.14, CI=1.84 to 5.45; P<0.001) increased dropout likelihood. Significant variables were combined in a single regression model. Dropout significantly reduced for 61-70 year olds (OR=0.31, CI=0.10 to 0.90; P=0.035), and high PA (OR=0.39, CI=0.19 to 0.76; P=0.008). Musculoskeletal disorders increased dropout (OR=2.67, CI=1.53 to 4.75; P<0.001). Conclusions: Age, PA, and disability type significantly influence dropout at 12-weeks. These are the first results specific to MI based programmes indicating the inclusion of MI and highlighting the need for further research.

Predictors of discharge in child psychoanalytic psychotherapy

Introduction: This empirical study was based on the analysis of the results of a study about dropout predictors among in child psychoanalytic psychotherapy. The objectives were to characterize the sample of children discharged from psychoanalytic psychotherapy, examine the association between sociodemographic/ clinical variables and child psychoanalytic psychotherapy discharge, and determine predictors of discharge in child psychoanalytic psychotherapy.Method: This quantitative, descriptive and retrospective study analyzed the clinical records of 600 children treated in three institutions that offer graduate courses in psychoanalytic psychotherapy in Porto Alegre, Brazil.Results: The analysis of clinical records revealed that 24.2% of the child patients were discharged from treatment. Neurological assessment and treatment duration were predictors of discharge in child psychoanalytic psychotherapy.Conclusion: The predictors of discharge and dropout may coincide, but they are not the same. In this sample, the construction of the therapeutic alliance and the understanding of the reasons why children need psychotherapy by their parents or guardians may explain our findings.