The effects of organizational context on autonomy-enhancing policies in assisted living

This study examines the effects of facility size, ownership, chain membership, and residents' characteristics on autonomy-enhancing policies in assisted living. The theoretical framework for the study is based on the open systems perspective, which views organizations as being influenced by environmental context (e.g., ownership and chain membership). Data were collected from interviews with administrators of 60 facilities in Maryland. Autonomy-enhancing policies were assessed with the MEAP Policy Choice and Resident Control scales. Facility size and residents' disability were strong predictors of autonomy-enhancing policies (R² = .39, p < .001). Higher levels of policies that foster resident autonomy were associated with larger facility size (β = .54, p < .001) and lower residents' disability (β = .23, p < .05). Chain membership had an indirect influence on autonomy-enhancing via facility size and residents' disability. Chain-related facilities were larger, and their residents were less disabled. The study contributes to a better understanding of the mechanism through which organizational factors influence resident-oriented policies.     

A randomized controlled trial of the effectiveness of the youth crime prevention program ‘New Perspectives’ (NP): Post-treatment changes and moderator effects

ObjectivesNew Perspectives (NP) aims to prevent that youth at onset of a criminal career will develop a more persistent criminal behavior pattern. The study aim was to examine whether NP was effective relative to care as usual in preventing and reducing (persistent) delinquency. Moreover, we examined improvements in secondary outcomes (e.g., peer and parent relationships and cognitive distortions) and other outcomes (e.g., substance use and self-esteem).MethodsAt-risk youth (N = 101) aged 12 to 19 years were randomly assigned to the intervention group (NP, n = 47) or control group (‘care as usual’, n = 54). The effects of the NP intensive phase (3 months after program start) and aftercare phase (6 months after program start) were analyzed.ResultsNP and care as usual did not differ on any of the outcome measures at both post-test occasions. The effects of NP were the same for boys and girls, different age groups, and ethnic groups.ConclusionsThe overall null-effects are discussed, including implications for further research, policy, and practice.     

Risky sexual behavior and substance use among adolescents: A meta-analysis

This study presents the results of a meta-analysis of the association between substance use and risky sexual behavior among adolescents. 87 studies fit the inclusion criteria, containing a total of 104 independent effect sizes that incorporated more than 120,000 participants. The overall effect size for the relationship between substance use and risky sexual behavior was in the small to moderate range (r = .22, CI = .18, .26). Further analyses indicated that the effect sizes did not substantially vary across the type of substance use, but did substantially vary across the type of risky sexual behavior being assessed. Specifically, mean effect sizes were the smallest for studies examining unprotected sex (r = .15, CI = .10, .20), followed by studies examining number of sexual partners (r = .25, CI = .21, .30), those examining composite measures of risky sexual behavior (r = .38, CI = .27, .48), and those examining sex with an intravenous drug user (r = .53, CI = .45, .60). Furthermore, our results revealed that the relationship between drug use and risky sexual behavior is moderated by several variables, including sex, ethnicity, sexuality, age, sample type, and level of measurement. Implications and future directions are discussed.     

The effect of density on the level of bias in the network autocorrelation model

Researchers interested in the effects of social network ties on behavior are increasingly turning to the network autocorrelation model, which allows for the simultaneous computation of individual-level and network-level effects. Earlier research, however, had pointed to the possibility that the maximum likelihood estimates used to compute the network autocorrelation model yielded negatively biased parameter estimates. In this paper we use simulations to examine whether – and the conditions under which – a negative bias exists. We show that the network parameter estimate ρ is negatively biased under nearly all conditions, and that this bias becomes more severe at higher levels of both ρ and network density. We conclude by discussing the implications of these findings for researchers planning to use the network autocorrelation model.     

A cross-lagged model of the relationship between violent video game exposure and moral disengagement in middle school and high school students

Previous studies have proved that violent video game exposure might have an association with moral disengagement; however, the directionality of this correlation remains unclear. Therefore, we examined the reciprocal effects between violent video game exposure and moral disengagement in a longitudinal study. The sample included 1393 adolescents (48.7% boys) in the seventh (middle school students, n = 694, M_age = 13.15 years) and tenth (high school students, n = 699, M_age = 15.93 years) grades at six Chinese secondary schools. The results showed that high school students' levels of moral disengagement were higher than those of middle school students, and violent video game exposure was positively associated with moral disengagement. The cross-lagged panel model suggested that violent video game exposure predicted moral disengagement (six months later) in all participants, with a slightly stronger effect in middle school students. The finding also indicated differences in the development of perspective regarding the association between violent video game exposure and moral disengagement, which observed a predictive effect for middle school students but a lagged effect for high school students. Thus, different preventions and interventions should be distinguished for middle school and high school students.     

Overconfidence bias and conjunction fallacy in predicting outcomes of football matches

The aim of this study was to explore the occurrence of the overconfidence bias and the conjunction fallacy in betting behavior among frequent and sporadic bettors and to test whether it was influenced by the task format (probability vs. frequencies). Frequent bettors (N = 67) and sporadic bettors (N = 63) estimated whether the bets on football games presented to them via an on-line questionnaire would be successful. The bets consisted of singles (one match outcomes) and conjunctions (two matches outcomes), and were presented either in probability or frequency terms. Both frequent and sporadic bettors showed similar levels of the overconfidence bias. However, the frequent bettors made the conjunction fallacy more often than the sporadic bettors. The presentation of the task in the frequency terms significantly reduced the overconfidence bias in comparison to the evaluations in probability terms, but left the conjunction fallacy unaffected.     

Is child protective services effective?

A number of studies have concluded that there is little observable connection between CPS involvement and improved outcomes for children and families. Evidence of CPS effectiveness is complicated by the presence of selection bias and difficulty controlling for confounding. To understand outcomes by group and intervention effects, comparable groups are necessary and difficult to ascertain using CPS administrative case record data. This study examines the causal effect of CPS involvement on the likelihood of future maltreatment using administrative case management records from July 1, 2010 and June 30, 2011. The current study accounts for differences in pre-existing condition between groups to establish sound estimates of CPS involvement effects. Logistic regression models were used to examine the difference in subsequent substantiated investigation between families with comparable risk and differing service recommendation (p = 0.83), recurrence among families with comparable risk, the same service recommendation that did or did not receive services (p = 0.83). Hazard models were used to explore risk of substantiated investigation among families with comparable risk and differing service recommendation (p = 0.77). Results indicate receipt of CPS services had no observable effect on recurrence of maltreatment overall and among families with similar levels of risk of recurrence. Further inquiry into worker attributes, decision-making, types of and quality of services offered to families could help explain the effective, or ineffectiveness, or services.     

Staff and youth views on autonomy and emancipation from residential care: A participatory research study

The use of participatory approaches in designing services is still relatively uncommon. In this study, we helped design a service to support the transition of youth from residential care to independent living by exploring the perspectives of staff and of youth regarding: (a) the concept and development of autonomy; and (b) key factors in developing this type of service. We gathered the data through 10 interviews with staff (n = 10) and 4 focus groups with youth (n = 21), and subjected the data to a thematic content analysis. Staff defined autonomy as self-regulation and self-care, and identified three paths to foster autonomy – a sense of normality, meaningful relationships, and planning for emancipation. The staff and youth identified the following important aspects in designing the service: achieving normality (e.g. limited number of residents), promoting youth capacity (e.g. skill-building activities), providing social support (e.g. trust and respect between residents), and assuring guidance and boundaries (e.g. supervision of youth).     

Cigarette,alcohol, and marijuana use among adolescents in foster family homes

Data from a cross-sectional study conducted in a random sample of children who were placed in foster family homes were used to examine the prevalence and associated factors of substance use (i.e., cigarette, alcohol, and marijuana), and to explore if adolescents in foster family homes had different rates of substance use than those in the general population matched on age, gender and race/ethnicity. Logistic regression models were used to determine factors associated with substance use and McNemar tests were used to compare prevalence rates of substance use. Substance use was common among adolescents in foster family homes. A higher number of placement settings were significantly associated with current cigarette use (odds ratio [OR], 1.32; 95% confidence interval [CI], 1.09–1.60), and being placed in special study homes (i.e., fictive kin) was significantly associated with current marijuana use (OR, 6.43; 95% CI, 1.40–29.52). Compared to adolescents in the general population, those in foster family homes had lower rates of current alcohol (9.1% vs. 38.3%, p < 0.0001) and marijuana (13.6% vs. 29.7%, p = 0.005) use. No significant difference was observed for current cigarette use (18.2% vs. 11.5%, p = 0.08). More research is needed to confirm the lower rate of current substance use in foster family homes than those matched in the general population, and to explore why adolescents in special study homes were more vulnerable to marijuana use.     

Foster and adoptive parent training: A process and outcome investigation of the preservice PRIDE program

This study investigated the widely-used but under-researched program for training resource parents (i.e., foster, adoptive, or kinship parents) known as preservice PRIDE (Parent Resources for Information, Development and Education). The sample consisted of 174 participants in Ontario, Canada. Examination of the process of training showed that the participants were highly satisfied with the training and rated it as being of high quality. The participants experienced a large pretest-posttest mean gain (d = 1.17, p < 0.001) on the total score of the primary outcome measure, knowledge of the PRIDE competencies taught by the program. Training quality was a positive and statistically significantly predictor of both gains in knowledge of the PRIDE competencies and satisfaction with training. The results were discussed in terms of their implications for research and practice.     

The outcome of institutional youth care compared to non-institutional youth care for children of primary school age and early adolescence: A multi-level meta-analysis

ObjectiveThe outcome of institutional youth care for children is heavily debated. This multilevel meta-analysis aims to address the outcome of institutional youth care compared to non-institutional youth care for children of primary school age and early adolescence in economically developed countries. A gain of knowledge in this area may help the decision for referral of children to institutional youth care or other types of care (e.g., foster care or community-based care), and improve outcomes for children in youth care.MethodsOf 19 controlled studies (15.526 participants), 63 effect sizes of behaviour problems (externalizing, internalizing, and total), skills (social and cognitive) and delinquency were computed based on comparisons between institutional Evidence-Based Treatment (EBT), institutional Care As Usual (CAU), non-institutional EBT, and non-institutional CAU.ResultsInstitutional CAU showed a small-to-medium negative significant effect compared to non-institutional CAU (d = − 0.342). Furthermore, children in institutional care showed slightly more delinquent behaviour compared to children in non-institutional care (d = − 0.329). Significant moderating effects were also found for study design, year of publication and sex of the child.ConclusionsChildren receiving non-institutional CAU (mostly foster care) had slightly better outcomes than children in institutional CAU (regular group care). No differences were found between institutional and non-institutional care when institutional treatment was evidence-based. More research is needed on the conditions that make established treatment methods work in institutional care for (young) children.     

Factors associated with treatment attrition for Medicaid-enrolled youth with serious emotional disturbances

Premature discontinuation from treatment is a significant problem that undermines the delivery of effective mental health services and increases the risk for relapse and poor outcomes. However, factors associated with treatment attrition in children and adolescents are not well understood. This retrospective longitudinal cohort study examines factors associated with attrition for Medicaid-enrolled youth, aged 5 to 17 with “new episodes” of ICD-9-CM diagnosed serious emotional disturbance (N = 43,122). Information on individual-level (demographic and clinical characteristics) and contextual-level variables (county socio-demographic, economic, and health care resources) were abstracted from Medicaid claim files and the Area Resource File. Multilevel modeling was used to assess the association between individual and contextual-level variables and attrition. Of the 43,122 youth in the study sample, 4056 (9.4%) discontinued treatment. The odds of treatment attrition were significantly higher for youth who were male (OR = 1.16, p < 0.001), black compared to white (OR = 1.19, p < 0.001), had a co-occurring substance abuse disorder (OR = 1.35, p = 0.01), and lived in a county with a larger percentage of minorities (OR = 1.02, p = 0.01). In contrast, youth diagnosed with bipolar and depressive disorders compared to ADHD (OR = 0.78, p < 0.001 and OR = 0.87, p = 0.01, respectively), with comorbid psychiatric (OR = 0.74, p < 0.001) and medical disorders (OR = 0.82, p < 0.001), and a prior history of two or more psychotropic medications compared to no medications (OR = 0.76, p < 0.001) had lower odds of attrition. Residence in a county with a larger number of pediatricians and psychologists also reduced the odds of attrition (OR = 0.97, p = 0.05 and OR = 0.99, p = 0.03 respectively). Overall, this study suggests that a combination of individual factors, demographic and clinical, and contextual factors impact attrition in children's mental health outpatient treatment.     

The Network Autocorrelation Model using Two-mode Data: Affiliation Exposure and Potential Bias in the Autocorrelation Parameter

The network autocorrelation model has been a workhorse for modeling network influences on individual behavior. The standard network approaches to mapping social influence using network measures, however, are limited to specifying an influence weight matrix (W) based on a single mode network. Additionally, it has been demonstrated that the estimate of the autocorrelation parameter ρ of the network effect tends to be negatively biased as the density in W matrix increases. The current study introduces a two-mode version of the network autocorrelation model. We then conduct simulations to examine conditions under which bias might exist. We show that the estimate for the affiliation autocorrelation parameter (ρ) tends to be negatively biased as density increases, as in the one-mode case. Inclusion of the diagonal of W, the count of the number of events participated in, as one of the variables in the regression model helps to attenuate such bias, however. We discuss the implications of these results.     

Program records as a source for program implementation assessment and youth outcomes predictors during residential care

This study used point card information from a residential program to generate treatment fidelity metrics and determine if the metrics predicted youth outcomes after six months in care. Youth outcomes included staff (n = 52) and youth (n = 143) ratings, youth conduct records kept by the residential program's teaching-family homes and school records. Treatment fidelity metrics included the program components: (a) percentage of positive interactions, (b) number of privileges earned, and (c) a skills taught to interactions ratio. The percentage of positive interactions averaged 90% per youth; 76% of the point cards indicated that privileges were earned; and a variety of life skills were typically taught to the youth (skills ratio = .61). The data from the treatment fidelity metrics supported that the program was implemented consistent with program expectations. The range of implementation quality for each measured component was then used to predict youth outcomes. Increased percent of positive interactions predicted significantly decreased externalizing behaviors as reported by staff (β = − 0.31, p < .001) and youth (β = − 0.30, p < .001), and significantly fewer incidents of non-compliance (Exp(b) = 0.93, p < .001) and school problems (Exp(b) = 0.91, p < .001) as indicated on the program records. The skills ratio indicated similar trends across outcomes, although non-significant at the p < .01 level. Permanent products may be helpful to develop program treatment fidelity metrics, which may be useful for monitoring implementation and may be associated with improved youth outcomes.     

Societal factors impacting child welfare: Re-validating the Perceptions of Child Welfare Scale

ObjectiveThis research examines the psychometric properties of the Perceptions of Child Welfare Scale (PCWS) by seeking to understand the differences between workers' perceptions of how society views them based upon job title by revalidating the PCWS with a sample of administrators and clinicians.MethodsConfirmatory factor analysis was utilized to analyze data on 165 administrators and 153 clinical child welfare workers.ResultsThe final model consisted of three latent variables with ten indicators related to stigma, value, and respect ([X²] = 167.6, [p] = 0.00; [RMSEA] = 0.07; 90% [CI]: 0.06–0.09; [CFI] = 0.95; [TLI] = 0.95).DiscussionThe factors found in the previous study were confirmed using an entirely different sample of child welfare workers. The factors value, stigma, and respect were confirmed across the sample based upon whether the workers were administrators or clinicians. This provides reassurance that measuring how workers perceive they are viewed by those outside the child welfare system does not vary based upon job title.     

Heterogeneity among adolescent mothers and home visiting program outcomes

Despite the challenges of early parenting, many adolescents navigate motherhood successfully, underscoring an overlooked heterogeneity among adolescent mothers. The present study used Latent Class Analysis (LCA) to identify subgroups of adolescent mothers (n = 704) enrolled in a randomized controlled trial (RCT) evaluation of a home visiting program for young parents. The model incorporated demographic and background characteristics, as well as indicators of psychological vulnerability. Analyses revealed four distinct subgroups: (a) non-Hispanic high vulnerability (n = 209, 30%); (b) Hispanic high vulnerability (n = 98, 14%); (c) non-Hispanic moderate vulnerability (n = 241, 34%); and (d) Hispanic moderate vulnerability (n = 156, 22%). Mothers in the two high vulnerability subgroups exhibited the poorest personal and parenting functioning outcomes measured approximately two years postpartum, particularly in terms of child maltreatment (non-Hispanic high vulnerability) and depressive symptoms (Hispanic high vulnerability). Analyses revealed positive effects of the home visiting program within specific latent classes on such outcomes as healthy baby at birth, high school or GED attainment, and repeat birth.     

Predicting illegal income generation among homeless male and female young adults: Understanding strains and responses to strains

This study examined gender differences among homeless young adults' engagement in illegal economic activity (i.e., panhandling, selling drugs, survival sex, gambling, theft). A purposive sample of 601 homeless young adults (ages 18–24) was recruited from three U.S. cities (Los Angeles, CA [n = 200], Austin, TX [n = 200], and Denver, CO [n = 201]) to participate in semi-structured interviews. General strain theory was used to identify predictors of illegal economic activity, including strains (childhood abuse, street victimization, length of homelessness, transience) and responses to strain (deviant peer associations, substance use, post-traumatic stress disorder, arrest history). The full hypothesized path models for males and females separately were tested using observed-variable path analysis. Among females, a greater variety of illegal income sources was reported by those who had experienced greater street victimization and who had used a greater number of substances in the past year. Among males, a greater variety of illegal income sources was reported by those who had more deviant peer associations, experienced greater street victimization, and used a greater number of substances in the past year. Findings have implications for research and preventive interventions to address engagement in illegal economic activity among male and female homeless young adults.     

Development of an innovative process evaluation approach for the Families Improving Together (FIT) for weight loss trial in African American adolescents

This study demonstrates how a multi-theoretical, multilevel process evaluation was used to assess implementation of the Families Improving Together (FIT) for weight loss intervention. FIT is a randomized controlled trial evaluating a culturally tailored, motivational plus family-based program on weight loss in African American adolescents and their parents. Social Cognitive, Self Determination, Family Systems theories and cultural tailoring principles guided the conceptualization of essential elements across individual/family, facilitator, and group levels. Data collection included an observational rating tool, attendance records, and a validated psychosocial measure.ResultsAttendance records (0 = absent, 1 = present, criteria = ≥70%) indicated that 71.5% of families attended each session. The survey (1 = false, 6 = true, criteria = ≥4.5) indicated that participants perceived a positive group climate (M = 5.16, SD = 0.69). A trained evaluator reported that facilitator dose delivered (0 = no, 1 = yes, criteria = ≥75%) was high (99.6%), and fidelity (1 = none to 4 = all, criteria = ≥3) was adequate at facilitator (M = 3.63, SD = 0.41) and group levels (M = 3.35, SD = 0.49). Five cultural topics were raised by participants related to eating (n = 3) and physical activity (n = 2) behaviors and were integrated as part of the final curriculum.DiscussionResults identify areas for program improvement related to delivery of multi-theoretical and cultural tailoring elements. Findings may inform future strategies for implementing effective weight loss programs for ethnic minority families.     

Beyond interviewer effects in the standardized measurement of ego-centric networks

The effects which interviewers exert on the collection of ego-centric networks have recently come into the focus of methodological considerations. Studies consistently show that the size of networks varies depending on the interviewer. We would like to expand on this research strand by pointing to different aspects which have so far gone unremarked in the discussion. First, size is mainly analysed as a network measure which is influenced during data collection, while other common measures such as network density or composition have not received sufficient consideration. Second, large-scale surveys using face-to-face interviews usually allocate interviewers to a single sampling point. Differences between sampling points (locality effects) are attributed to interviewer effects. Hence, we disentangle the effects of the locality and interviewer. Third, the discussion on interviewer effects often follows an “actor-oriented” consideration of how data collection situations are structured by interviewers. Expanding this approach from a relational perspective, we consider the relationship between the interviewers and respondents and whether this relationship influences the collection of network data. To test our hypotheses about the influence of interviewers, the locality and the interviewer-respondent relationship on different network measures, we use data from the 2010 German General Social Survey (n = 2827 respondents, n = 220 interviewers). The multilevel analyses show that the relationship between the interviewer and the respondent is not very relevant. Furthermore, the analyses show that interviewers have an influence on the network size but not on measures of their composition. However, evidence on the prevalence of locality or interviewer effects is mixed. Finally, homophilous interviewer-respondent relationships have very little effect on network characteristics. We find evidence of training and fatigue effects on network size. However, much of the variation in network size caused by the interviewer still remains unexplained. We draw conclusions on how to organize interview situations in surveys.