New measures to assess the social ecology of youth: A mixed‐methods study

Hamby, Sherry; Taylor, Elizabeth; Smith, Alli; Mitchell, Kimberly J.; Jones, Lisa M.; Newlin, C.

doi:10.1002/jcop.22220

Cited by 27 publications

(23 citation statements)

References 47 publications

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“…Hamby et al (2019) examined how elements of the social‐ecological model contribute to psychological well‐being and victimization histories. There is a well‐documented victim‐offender overlap among court‐involved youth, particularly among girls (Saar, Epstein, Rosenthal, & Vafa, 2015; Simkins & Katz, 2002; Wattanaporn & Holtfreter, 2014).…”

Section: Review Of the Literaturementioning

confidence: 99%

Family‐based Intervention for Legal System‐involved Girls: A Mixed Methods Evaluation

Anderson

Rubino

McKenna

2020

American J of Comm Psychol

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The increased proportion of juvenile court‐involved girls has spurred interest to implement and evaluate services to reduce girls’ system involvement. The purpose of this study was to examine the effectiveness of a family‐based intervention by using a dominant sequential mixed methods evaluation approach. First, we examined quantitative data using a quasi‐experimental design to determine whether the family‐based intervention reduced recidivism among court‐involved girls. Propensity score matching (PSM) was used to construct statistically equivalent groups to compare one‐year recidivism outcomes for girls who received the court‐run family‐based intervention (n = 181) to a group of girls on probation who did not receive the intervention (n = 803). Qualitative interviews (n = 39) were conducted to contextualize the quantitative findings and highlighted the circumstances that family‐focused interventions for court‐involved girls. Girls who received the program had slightly lower recidivism rates following the intervention. The qualitative findings contextualized the quasi‐experimental results by providing an explanation as to the girls’ family circumstances and insights into the mechanisms of the intervention. Results highlighted the importance of family‐focused interventions for juvenile justice‐involved girls. These findings have practical and policy implications for the use interventions—beyond the individual level—with adjudicated girls and offer suggestions for ways to improve their effectiveness using a community psychology lens. In addition, this paper includes a discussion of evaluating of juvenile court programming from a community psychology perspective including strengths, challenges, and considerations for future work in this area.

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Section: Review Of the Literaturementioning

confidence: 99%

Family‐based Intervention for Legal System‐involved Girls: A Mixed Methods Evaluation

Anderson

Rubino

McKenna

2020

American J of Comm Psychol

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“…[9][10][11] The quality of the data in the sample library directly affected the training results of the data in the sample library. 12,13 In this research, based on RBF neural network, the forewarning model for track and field sportsmen was built. By collecting basic data on injury-causing factors related to sports injuries, quantitative assessment of early warning levels was made.…”

Section: Introductionmentioning

confidence: 99%

The Early Warning Model of Track and Field Sports Based on RBF Neural Network Algorithm

He-qiong

2021

Rev Bras Med Esporte

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Background: Athletics plays a very important role in competitive sports. The strength of track and field directly represents the level of a country's sports competition. Objective: This work aimed to study the track and field sports forewarning model based on radial basis function (RBF) neural networks. One hundred outstanding athletes were taken as the research objects. The questionnaire survey method was adopted to count athletes’ injury risk factors, and coaches were consulted to evaluate the questionnaire's overall quality, structure, and content. Methods: A track and field early warning model based on RBF neural network is established, and the results are analyzed. Results: The results showed that the number of people who thought the questionnaire was relatively complete (92%) was considerably higher than that of very complete (2%) and relatively complete (6%) (P<0.05). The number of people who thought that the questionnaire structure was relatively perfect (45%) was notably higher than that of the very perfect (18%) (P<0.05). The semi-reliability test result suggested that the questionnaire reliability was 0.85. Tests on ten samples showed that the RBF neural network model error and the actual results were basically controlled between −0.04~0.04. Conclusions: After the sample library test, the track and field sports forewarning model under RBF neural network can obtain relatively favorable results. Level of evidence II; Therapeutic studies - investigation of treatment results.

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“…The system interacts with the individual and affects the development of individual behavior. 1 As a growing individual, the development of their behavior will be affected by many surrounding factors, including society, family, school, etc. Therefore, it has become an important research topic to study the influencing factors of adolescents' physical exercise with social ecology theory, reveal the interaction between the factors, and then make necessary interventions in the adolescents' physical exercise.…”

Section: Introductionmentioning

confidence: 99%

Research on Influencing Factors of Adolescents’ Sports Health Behaviors in Social Ecology

Song

Wang

Yin

2021

Rev Bras Med Esporte

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Introduction: Physical exercise has a positive effect on the health of individuals. Long-term sedentary behavior can induce coronary heart disease, hypertension, diabetes, and other chronic diseases. Lack of physical exercise has become the fourth leading cause of death worldwide. Therefore, youth sports are very important for physical health. Objective: To systematically reveal the influencing factors of adolescents’ physical exercise and improve the effectiveness of interventions on adolescents’ physical exercise behaviors, this article is based on social ecology theory to study the structural model of adolescents’ physical exercise factors. Methods: The thesis considers factors affecting adolescent physical exercise as the research object and uses literature method, questionnaire survey, mathematical statistics, etc., to construct a structural model of factors affecting youth physical exercise, including four primary indicators and 19 secondary indicators. Results: Adolescent physical exercise is affected by the school, family, social and personal factors. Among them, family factors have the greatest impact on young people's physical exercise. Personal factors rank second, school factors, and social factors rank third. Among the family factors, the major influences on youth physical exercise are “parental support,” “parents’ cognition of physical exercise,” and “parental exercise habits.” Conclusions: The influencing factors of adolescent physical exercise involve four aspects: family, society, school, and self. Family factors have the greatest impact on adolescent physical exercise, and personal factors are the second, school factors, and social factors are the third. Level of evidence II; Therapeutic studies - investigation of treatment results.

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New measures to assess the social ecology of youth: A mixed‐methods study

Cited by 27 publications

References 47 publications

Family‐based Intervention for Legal System‐involved Girls: A Mixed Methods Evaluation

Family‐based Intervention for Legal System‐involved Girls: A Mixed Methods Evaluation

The Early Warning Model of Track and Field Sports Based on RBF Neural Network Algorithm

Research on Influencing Factors of Adolescents’ Sports Health Behaviors in Social Ecology

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