Direct and Indirect Pathways From Adverse Childhood Experiences to High School Dropout Among High‐Risk Adolescents

Adverse childhood experiences (ACEs) are associated with an increased risk for school dropout. This study examined pathways from childhood adversity to school dropout through academic, behavioral, emotional, and social pathways. Data were collected prospectively from 728 adolescents and their caregivers who participated in the Longitudinal Studies of Child Abuse and Neglect and from child protective services records. Path analyses revealed a direct association between ACEs and dropout, as well as indirect effects through poor reading achievement and elevated externalizing problems. ACEs were associated with elevated internalizing problems, which were negatively associated with dropout. However, ACEs were not associated with peer influences. Implications of the identified mechanisms in the ACEs and school dropout association for future preventive interventions are discussed.     

Juvenile delinquency in Romania: a comparison between minors in prisons and re-education services

This article assesses the relationships between the individual and family characteristics of minors and juvenile delinquency in Romania. This cross-sectional study involved Romanian delinquent minors, 285 of whom were incarcerated in prisons in Romania and 280 subject to educational measures in re-education services in Romania. The multivariate logistic regression analysis showed that delinquency in incarcerated minors is associated with age, the offence committed, drug use, school dropout rates, recidivism, family alcoholism, the relationship with the biological parents, and the number of biological siblings. The study provides baseline data to identify at-risk minors in order to develop prevention programmes. We have adopted a public health approach to analysing delinquency and targets risk factors.     

TIME SERIES AND CROSS-SECTIONAL INVESTIGATIONS OF THE DEMAND FOR HIGHER EDUCATION

This paper focuses on enrollment demand, making use of both aggregate and disaggregate data. In a time series analysis we explore the economic environment affecting freshman enrollments over time. Stratifying by type of school reveals significant differences among institutional segments. In particular, community college enrollments appear more sensitive to financial variables and the availability of alternative activities. To further investigate these differences, cross-sectional analysis is carried out using survey responses from students currently enrolled in each institutional segment. These results, obtained from linear discriminant analysis, show additional, important differences among segmental populations.     

Using latent class analysis to detect behavioral patterns in systems of observational variables

Behavioral observation is widely used for data gathering in evaluation research. Yet it leaves the investigator with unique problems. Usually, multiple observations result in a hierarchical data set, where numerous data records exist for each subject. Researchers face data reduction problems at least at two levels. First, there is the well-known and often-addressed problem of reducing the number of variables in a data set with only one information record per individual. Second, there is the problem of summarizing data at the individual subject level. The easiest way to perform this latter type of aggregation involves using univariate summary measures as probabilities of “using” an item, means, or standard deviations for each item per subject. Other standard procedures include first order interactions between pairs of items. However, use of pair-wise interactions is restricted because of variable dependence within each subject (this Affects e.g. factor analysis), or because of the relatively high number of single observations (this Affects e.g., cluster analysis). In this paper we propose employing Latent Class Analysis (LCA) to reduce the amount of information in observational data sets. In a first step, LCA allows one to specify intraindividual behavior patterns. In a second step, LCA allows one to derive meaningful summary scores for each individual. The two steps are illustrated using data that describe peer play competence in Swedish toddlers.     

Hidden and actual dropout from the education system among adolescents of Ethiopian origin in Israel

ABSTRACT

This paper examines aspects and predictors of actual and hidden dropout among immigrant students in general, and among Israeli students of Ethiopian origin, in particular. A hidden dropout is a student who is often absent from school or physically in class but is passive and does not actively take part in the learning process. The subject of this study derives from research evidence showing that the dropout rates of Israeli adolescents of Ethiopian origin are higher than those of their peers who are not of Ethiopian origin. We investigated differences between normative learners, hidden dropout youth and adolescents who are disengaged from the educational system. The predictors included perceived discrimination, social support and collective identities; 374 adolescents of Ethiopian origin completed self-report questionnaires. The major findings show that the hidden dropouts group was characterised by a pattern of high parental encouragement but a lack of support from teachers. Implications of the results, both for theory and for practice, are discussed, followed by suggestions for future research.     

Die Wahl der Soziologie als Studienfach

Sociology is one of the fields of study with the highest dropout rates. How can this be explained? Using data on students of sociology at the University of Bamberg, the authors examine three aspects of the decision making process for this subject: (1) the information gathering strategy of prospective studens, (2) the timing aspect of the decision process, and (3) the consideration of labour market issues. Based on rational choice theory, it is shown that on the one hand the problems erst upon the subject itself, since sociology is not enough professionalized and still not clear-cut enough towards specific occupational fields. On the other hand, the information gathering process of prospective students is often insufficient and there is too little consideration of the labour market aspects of the subject. Finally, the decision is often hastily made, which is also caused by the fact that for many students of sociology this subjectwas not their “first choice”.     

Gambling Disorder: Exploring Pre-treatment and In-treatment Dropout Predictors. A UK Study

The aim of this study was to identify predictors of treatment dropout in a sample of gamblers attending a specialist clinic for gambling disorder. We analysed data on 846 treatment-seeking pathological gamblers. Firstly, we investigated differences in socio-demographic and clinical variables between treatment completers and pre-treatment dropouts, as well as between treatment completers and during-treatment dropouts. Subsequently, variables were entered into a multinomial logistic regression model to identify significant predictors of pre-treatment and in-treatment dropout. Overall, 44.8% of clients did not complete the treatment: 27.4% dropped out before starting it, while 17.4% dropped out during the treatment. Younger age and use of drugs were associated with pre-treatment dropout, while family history of gambling disorder, a lower PGSI score, and being a smoker were related with in-treatment dropout. Our findings suggest that pre-treatment dropouts differ from in-treatment dropouts, and, thus, further research will benefit from considering these groups separately. In addition, this newly gained knowledge will also be helpful in increasing treatment retention in specific subgroups of problem gamblers.     

Client and program factors associated with dropout from court mandated drug treatment

To examine why court mandated offenders dropout of drug treatment and to compare their characteristics, treatment experiences, perceptions, and outcomes with treatment completers, we analyzed self-reported and administrative data on 542 dropouts (59%) and 384 completers (41%) assessed for Proposition 36 treatment by thirty sites in five California counties during 2004. At intake, dropouts had lengthier criminal histories, lower treatment motivation, more severe employment and psychiatric problems, and more were using drugs, especially heroin. Relatively fewer dropouts received residential treatment and their retention was much shorter. A similar proportion of dropouts received services as completers and the mean number of services received per day by dropouts was generally more, especially to address psychiatric problems, during the first three months of treatment. The most commonly offender-reported reasons for dropout included low treatment motivation (46.2%) and the difficulty of the Proposition 36 program (20.0%). Consequences for dropout included incarceration (25.3%) and permission to try treatment again (24.0%). Several factors predicting drug treatment dropout were identified. Both groups demonstrated improved functioning at one-year follow-up, but fewer dropouts had a successful outcome (34.5% vs. 59.1%) and their recidivism rate was significantly higher (62.9% vs. 28.9%) even after controlling for baseline differences. Understanding factors associated with drug treatment dropout can aid efforts to improve completion rates, outcomes, and overall effectiveness of California's Proposition 36 program. Findings may also aid a broader audience of researchers and policy analysts who are charged with designing and evaluating criminal-justice diversion programs for treating drug-addicted offenders.     

Social support and psychoeducational interventions with middle class dropout youth

There are substantial numbers of high school dropouts among middle class, high achieving and majority youth. Yet, little research has been undertaken to identify the psychosocial and family characteristics, educational needs, and program requirements of middle class dropout youth. This paper reports the educational history, individual psychosocial characteristics and family backgrounds of 102 middle class dropout youth who participated in an educational treatment program within a university. Data from a questionnaire and a family assessment instrument indicate that middle class dropout youth have a variety of family, social, emotional and learning disorders. Implications for clinical interventions are presented along with a case history and treatment plan of one of the youth in the study.     

Psychotherapy dropouts: differences by modality, license, and DSM-IV diagnosis

Dropouts are frequent in mental health care. Several client factors have been identified as dropout predictors, including ethnic minority status, race, low SES, and more severe symptoms. Research on therapist and process variables is less common, and findings are inconsistent. This study used administrative data for 434,317 patients from CIGNA Behavioral Health (CIGNA) to examine dropout rates by profession of provider, therapy modality, and DSM-IV diagnosis. Results indicate that among the providers, MFTs have the lowest dropout rates in the CIGNA network. Of the therapy modalities, individual therapy is associated with lower dropout rates than family therapy. Mood and anxiety disorders have lower dropout rates than other diagnosis categories, while schizophrenia, psychotic, and substance use disorders have the highest dropout rates.     

Save the World on Your Own Time: Or, What’s the Matter with Sociology?

This essay explores the question of why sociology departments, compared to other university departments, are often viewed negatively by higher-level administrators (deans, provosts, chancellors and presidents). We are asked to consider, as sociologists, how departments are ranked and evaluated by administrators. The characteristics of any good university department are identified (e.g., grants, support from alumni, publications, quality of teaching, national rankings, student enrollments); and, the characteristics of dynamic and healthy departments are outlined (e.g., student learning is primary; there is a commitment to the goals of the larger organization; leadership is provided by the unit to solve all-university problems; there is a focus on learning; faculty are productive; there are strong communication links across the organization). The question is posed and then systemically answered as to how sociology departments compare in terms of these standards. It is suggested that a major factor in terms of how and why sociology departments are negatively evaluated is the fact that sociology uses narratives of power and explanations of organizational behavior that are inherently oppositional, i.e., there is an “us” and “them” mentally that sometimes develops. Other reasons for organizational marginalization are identified such as the “canon wars” and their lingering effects, and the fact that the sociological enterprise has been diluted by the teaching of “sociology” in many other campus units, such as composition programs. Finally, questions are raised about how sociology, as an intellectual enterprise, differs from other disciplines in terms of pedagogy, the sequencing of courses, “grand” theory, and forms of apprenticeship. It is recommended that sociologists act positively to help the organizations within which they work to identify common problems and solve them. It is argued that sociology can and should “own” the area of civic engagement as a means of making a positive and distinctive contribution. Sociological “stories” grounded in the reality of everyday life are compelling. It is suggested that sociologists need to deepen connections with their communities and to offer real solutions to real problems.     

School dropout and injecting drug use in a national sample of white non-Hispanic American adults

In this study we sought to extend our previous finding of an association between school dropout and injecting drug use (IDU) among African Americans by testing the association in a sample of White non-Hispanic Americans. A nationally representative sample of White non-Hispanic Americans age eighteen years and older was drawn from public use data files of the 1995-1996 National Household Surveys on Drug Abuse (NHSDA). Adults with a self-report history of IDU were identified, and were matched to non-IDU adults in the same neighborhoods of residence. Conditional logistic regression was used to estimate the association between dropping out of high school and the occurrence of IDU. White non-Hispanic American high school dropouts were more likely than high school graduates to have injected a drug at least once. The findings of this research on non-Hispanic Whites are generally consistent with our earlier evidence on the association between educational status and a history of IDU among African-American adults. School dropout prevention programs may merit attention in an overall strategy of preventing injecting drug use and HIV/AIDS.     

Dropping Out of High School: The Effects of Family Structure and Family Transitions

We use the 1988, 1990, and 1992 waves of data from the National Education Longitudinal Study to examine the effects of family structure and family transitions on adolescent high school dropout. Our study differs from previous studies by using a large longitudinal sample (N?=?21,420) and applying event history analysis with standard errors corrected for clustered sampling. Our study has two major contributions. First, we examine single-mother, single-father, stepmother, and stepfather families separately. Controlling for socioeconomic status, children from single-mother families are doing better than children from single-father and stepparent families. Second, using event history we can determine the causal order between family transitions and high school dropout rates. We find high school students are not hurt by their parents marrying, remarrying, or starting a cohabiting relationship, but are negatively affected by a parental divorce or separation during the high school years.     

Understanding the dynamic interinfluences of implementation processes: An illustration by multiple case studies

Many dropout prevention programs have been developed and validated in the past decades. Yet, little is known about the contextual factors influencing the implementation of these programs. Implementation processes, such as school principal leadership and governmental funding, have been identified for their influence on program implementation, but the mutual or dynamic influence of these processes is yet to be understood. This study examines the processes involved in the implementation of Check & Connect (C&C), a well-established targeted dropout prevention program validated in several countries that aims at promoting the development of a significant relationship between at-risk students and a mentor as a way to prevent school dropout.Semi-structured interviews were conducted with 12 mentors and coordinators directly involved in C&C implementation. Analyses were conducted in two subsequent steps: thematic analyses first helped identify implementation processes described by respondents, and then synthetic case studies allowed us to build the implementation stories of distinct sites. This last step was conducted using the Planned Change Framework.This framework helped us to understand the complex dynamics of implementation processes in each site, which were associated with previously identified program outcomes, beyond implementation fidelity. Implications for future implementations of evidence-based programs in the school setting are discussed.     

The reliability of environmental measures of the college alcohol environment

Much of what we know about students' drinking patterns and problems related to alcohol use is based on survey research. Although local and national survey data are important to alcohol-prevention projects, they do not sufficiently capture the complexity of the alcohol environment. Environmental prevention approaches to alcohol-related problems have been shown to be effective in community settings and researchers have begun to study and adapt such approaches for use on college campuses. Many environmental approaches require systematic scanning of the campus alcohol environment. This study assessed the inter-rater reliability of two environmental scanning tools (a newspaper content analysis form and a bulletin analysis form) designed to identify alcohol-related advertisements targeting college students. Inter-rater reliability for these forms varied across different rating categories and ranged from poor to excellent. Suggestions for future research are addressed.     

School Dropout as Predicted by Peer Rejection and Antisocial Behavior

This longitudinal study assessed the prediction of school dropout from measures of antisocial behavior, social preference, and achievement. The sample was assessed at 8th grade (n= 516) and was expanded at 10th grade (n= 1157). In the 8th, but not 10th grade, rejected–antisocial students had higher dropout rates than those in other groups. Seperate logistic regression analyses were then conducted using the 8th‐ and 10th‐grade data. Across both sets of analyses, aggression and achievement, but not social preference, predicted subsequent dropout. These results, in conjunction with those of others, suggests that social preference does not uniquely predict school dropout. The possibility exists, however, that youth who are both antisocial and rejected may be at heightened risk for school dropout.     

PREDICTING MARITAL THERAPY DROPOUTS*

The purpose of this study was to predict therapy dropouts using data gathered at marital therpay intake. Intake data included standardized assessments and demographic information. The sample consisted of 474 couples who were seeking marital therapy and who attended at least one therapy session. Seventy-two couples met the dropout criteria, and a random sample of equal size was drawn from the rest of the couples for the analyses. Data from these two groups of couples were analyzed with multiple regression and discriminant analysis formulas. Three variables-having less than two children, having a male intake clinician, and a presenting problem relating only to one spouse-were significant predictors in accounting for couples who would drop out of therapy. In the best model, high phobic anxiety scores for husbands and a presenting problem relating to parenting, along with the other three variables, produced a model that accurately classified 82% of the couples who dropped out of therapy.     

The promise and perils of using big data in the study of corporate networks: problems,diagnostics and fixes

Network data on connections between corporate actors and entities – for instance through co‐ownership ties or elite social networks – are increasingly available to researchers interested in probing the many important questions related to the study of modern capitalism. Given the analytical challenges associated with the nature of the subject matter, variable data quality and other problems associated with currently available data on this scale, we discuss the promise and perils of using big corporate network data (BCND). We propose a standard procedure for helping researchers deal with BCND problems. While acknowledging that different research questions require different approaches to data quality, we offer a schematic platform that researchers can follow to make informed and intelligent decisions about BCND issues and address these through a specific work‐flow procedure. For each step in this procedure, we provide a set of best practices for how to identify, resolve and minimize the BCND problems that arise.     

Hidden school dropout among immigrant students: a cross-sectional study

Actual school dropout among immigrant youth has been addressed in a number of studies, but research on hidden school dropout among immigrant students is rare. Thus, the objective of this paper is to analyze hidden school dropout among primary school students with an immigrant background. The analyses were performed using survey data of 1186 immigrant students in Swiss primary schools. Our results show that immigrant students’ academic achievement, their attitudes towards school-related values, and the quality of their relationships with classmates and teachers were significant predictors of their disengagement during classes. Moreover, our findings strongly suggest that those predictors that are important for actual school dropout are crucial for hidden school dropout as well. We conclude that low-achieving immigrant youth who do not value school and who have poor relationships with teachers and peers are especially at risk of hidden and, eventually, of actual school dropout.     

Exploration of the reasons for dropping out of psychotherapy: A qualitative study

Elucidating the reasons for dropping out of psychotherapy can lead to the development of interventions aimed at reducing patient drop out. The present study aimed to explore patients’ reasons for dropping out of psychotherapy in Kermanshah, Iran. The present qualitative study was performed using conventional content analysis. The current sample included 15 participants consisting of 7 patients who dropped out of psychotherapy and 8 psychotherapists who have previously experienced patient dropout. A semi-structured interview was used for data collection. All interviews were audio recorded and subsequently transcribed. Content analysis using constant comparisons was performed for transcribed interviews. Four main categories emerged as reasons for dropping out of psychotherapy: dissatisfaction with the quality of psychotherapy, financial problems in psychotherapy, unprepared socio-cultural context of psychotherapy, and psychotherapy as a non-user friendly treatment. Additionally, specific subcategories within each main category were documented. The results revealed distinct reasons for psychotherapy drop out in the current Iranian-based sample. These identified reasons should be considered and addressed at the onset of treatment as well as in the development of formal interventions aimed at reducing dropout. Further research investigating the antecedents leading to patient drop out is recommended.