Social Psychology Commons^™

The Effects Of Criminal Embeddedness On School Violence In Brazil, Elenice De Souza De Souza Oliveira, Braulio Figueiredo Alves Da Silva, Silvio Segundo Salej Higgins

Department of Justice Studies Faculty Scholarship and Creative Works

This study examines the influence of criminal embeddedness on the intensity of criminal behavior among primary and secondary school students in a large Brazilian city. A database conceived by the Center for the Study of Crime and Public Security at the Federal University in Minas Gerais is used to analyze the involvement of youths displaying delinquent behavior at home or at school and how school performance and peer relationships are effected. Based on differential association and learning theories, the main hypotheses are (1) the greater the criminal embeddedness, the lower the degree of school satisfaction as well as future expectation …

Variations In Parent And Teacher Ratings Of Internalizing, Externalizing, Adaptive Skills, And Behavioral Symptoms In Children With Selective Mutism, Evelyn R. Klein, Cesar E. Ruiz, Kylee Morales, Paige Stanley

Psychology Faculty Work

Selective mutism (SM) is an anxiety disorder that impacts communication. Children with SM present concerns to parents and teachers as they consistently do not speak in situations where there is an expectation to speak, such as at school, but speak in other settings where they feel more comfortable, such as at home. The purpose of this study was to investigate the relationship between parents’ and teachers’ perceptions of children with SM on behavioral rating scales and language measures. Forty-two children (22 boys and 20 girls, ranging from 2.4 to 13.8 years, with a mean age of 7.1 years) took part …

Identifying Depression In The National Health And Nutrition Examination Survey Data Using A Deep Learning Algorithm, Jihoon Oh, Kyongsik Yun, Uri Maoz, Tae-Suk Kim, Jeong-Ho Chae

Psychology Faculty Articles and Research

Background

As depression is the leading cause of disability worldwide, large-scale surveys have been conducted to establish the occurrence and risk factors of depression. However, accurately estimating epidemiological factors leading up to depression has remained challenging. Deep-learning algorithms can be applied to assess the factors leading up to prevalence and clinical manifestations of depression.

Methods

Customized deep-neural-network and machine-learning classifiers were assessed using survey data from 19,725 participants from the NHANES database (from 1999 through 2014) and 4949 from the South Korea NHANES (K-NHANES) database in 2014.

Results

A deep-learning algorithm showed area under the receiver operating characteristic curve (AUCs) …

Discovering Themes: Disability Identity Development As It Pertains To People Born With Spina Bifida, Elizabeth H. Scriven

Antioch University Full-Text Dissertations & Theses

To date, disability identity development is a highly understudied construct. There are many models of disability, each interpret disability through a specific lens, but do not address the influence of disability on identity development. The few theories of disability identity that do exist have not been widely adopted. In addition, there is a lack of empirical evidence to support them. Another difficulty is that these theories do not separate different disability groups. Rather, the theories are applied to a broad heterogenous group of disability types. This is a problem because each disability type is quite distinct from the others and …