627 research outputs found

    Education in the Empty Quarter: How Have We Fared?

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    Garreau (1981) used the Arabic term Rub ‘al Khali, or Empty Quarter, to label the Intermountain West portion of the United States. In Saudi Arabia, the Empty Quarter is a large, dry, and relatively unpopulated area with a wealth of energy resources not unlike the Intermountain West. Garreau described changes in the area that were associated with changes in commerce and industry during the 20th century, particularly with respect to mining ventures and the discovery of oil and natural gas in the region. Although Garreau discussed many ways that these changes impacted the people and environment, he did not discuss the actual impact, or predicted impact on the education of children and youth in the region. The purpose of this article is to examine the impact of these changes on the functioning of schools in the Empty Quarter and to propose considerations for improving educational services in the region

    Evaluating associations between fitspiration and thinspiration content on Instagram and disordered-eating behaviors using ecological momentary assessment: A registered report

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    This is the peer reviewed version of the following article: Christensen, KA, Forbush, KT, Cushing, CC, Lejuez, CW, Fleming, KK, Swinburne Romine, RE. Evaluating associations between fitspiration and thinspiration content on Instagram and disordered-eating behaviors using ecological momentary assessment: A registered report. Int J Eat Disord. 2021; 54: 1307– 1315. https://doi.org/10.1002/eat.23518, which has been published in final form at https://doi.org/10.1002/eat.23518. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.Introduction Greater use of appearance-focused social media, such as Instagram, is associated with increased body dissatisfaction and eating disorder (ED) symptoms; however, questions remain about the mechanism connecting social media use to disordered-eating behaviors (DEBs). The proposed study evaluates how and for whom exposure to fitspiration or thinspiration on Instagram is associated with DEBs. Methods We will evaluate a hypothesized pathway from Instagram use to disordered-eating mediated by negative affect. We will test how individual differences in internalized weight stigma, trait self-esteem, and trait self-comparison moderate the pathway from social media use to negative affect. We will recruit 175 undergraduate women who report engaging in DEBs on average at least once per week over the past 3 months. Participants will complete a 7-day ecological momentary assessment protocol, during which they will report their Instagram use, affect, and engagement in DEBs. Results Multi-level modeling will be used to assess moderated mediation. Results from this study will provide increased specificity about how Instagram usage is linked to eating pathology and who may be most vulnerable to experiencing distress. Discussion Information about negative affect from Instagram and engagement in DEBs could contribute to the development of Just-In-Time Interventions for problematic social media use

    Eating Pathology Symptoms Inventory – Clinician Rated Version (EPSI-CRV)

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    The files in this record contain supplemental information about the EPSI-CRV including: a copy of the EPSI-CRV, suggested training plan, training videos with an example of completed ratings, and a list of items that were removed during the final development process.The Eating Pathology Symptoms Inventory – Clinician Rated Version (EPSI-CRV) is a semi-structured interview that was designed to assess dimensional constructs of eating-disorder psychopathology and generate current Diagnostic and Statistical Manual- Fifth Edition (DSM-5) eating-disorder diagnoses. The EPSI-CRV is based on the self-report version of the EPSI (Forbush et al., 2013). There are 13 modules (or sections) within the EPSI-CRV. Eight modules measure content that is assessed in the self-report version of the EPSI, including: Body Dissatisfaction, Binge Eating, Cognitive Restraint, Excessive Exercise, Restricting, Purging, Muscle Building, and Negative Attitudes Towards Obesity. Five additional modules are included to derive DSM-5 diagnoses. The five DSM-5 modules include: Subjective Binge Episodes, Binge Eating Disorder, Low Weight, Overvaluation of Weight and Shape, and Fear of Weight Gain. The average administration time is approximately 38 minutes. The EPSI-CRV is designed to be used by clinicians and researchers working with adults with eating disorders across a range of settings. The interview may be useful for making admissions decisions, treatment planning, and discharge planning, as well as for research studies

    The Athletes\u27 Relationships with Training Scale (ART): A Self-Report Measure of Unhealthy Training Behaviors Associated with Eating Disorders

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    Objective: Several studies indicate that eating-disorder (ED) psychopathology is elevated in athletes compared to non-athletes. The assessment of excessive exercise among athletes is a challenge because, compared to non-athletes, athletes are required to train at higher intensities and for longer periods of time. However, individuals participating in competitive sports are still susceptible to unhealthy physical-activity patterns. Most ED assessments were developed and normed in non-athlete samples and, therefore, do not capture the nuances of athletes\u27 training experiences. The purpose of the current study was to develop and validate a clinically useful, self-report measure of unhealthy training behaviors and beliefs in athletes, the Athletes\u27 Relationships with Training Scale (ART). Method: The initial item pool was administered to N = 267 women collegiate athletes who were participating in an ED prevention program study and N = 65 women athletes who were in ED treatment. Results: Factor analyses indicated the ART had a four-factor structure. Factorial and construct validity of the ART were demonstrated. ART scores significantly predicted health care utilization and differed between athletes with an ED versus athletes without an ED. For athletes in ED treatment, ART scores significantly decreased from treatment admission to discharge. Discussion: The ART showed evidence of strong psychometric properties and clinical utility. The ART could be helpful for clinicians and athletic trainers to help gauge whether athletes are engaging in unhealthy training practices that may warrant clinical attention and for tracking clinical outcomes in athletes with EDs who are receiving treatment

    A complex network approach to structural inequality of educational deprivation in a Latin American country

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    To guarantee the human right to education established by the fourth UNESCO’s Sustainable Development Goal, a deep understanding of a big set of non-linear relationships at different scales is need it, as well as to know how they impact on learning outcomes. In doing so, current methods do not provide enough evidence about interactions and, for this reason, some researchers have proposed to model education as a complex system for considering all interactions at individual level, as well as using computer simulation and network analysis to provide a comprehensive look at the educational processes, as well as to predict the outcomes of different public policies. The highlight of this paper is modeling the structure of the inequality of a national educational system as a complex network from learning outcomes and socio-economic, ethnicity, rurality and type of school funding, for providing a better understanding and measuring of the educational gaps. This new approach might help to integrate insights improving the theoretical framework, as well as to provide valuable information about non-trivial relationships between educational and non-educational variables in order to help policymakers to implement effective solutions for the educational challenge of ensuring inclusive and equitable education.info:eu-repo/semantics/acceptedVersio

    The T2K ND280 Off-Axis Pi-Zero Detector

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    The Pi-Zero detector (P{\O}D) is one of the subdetectors that makes up the off-axis near detector for the Tokai-to-Kamioka (T2K) long baseline neutrino experiment. The primary goal for the P{\O}D is to measure the relevant cross sections for neutrino interactions that generate pi-zero's, especially the cross section for neutral current pi-zero interactions, which are one of the dominant sources of background to the electron neutrino appearance signal in T2K. The P{\O}D is composed of layers of plastic scintillator alternating with water bags and brass sheets or lead sheets and is one of the first detectors to use Multi-Pixel Photon Counters (MPPCs) on a large scale.Comment: 17 pages, submitted to NIM

    Inequality in learning outcomes: Unveiling educational deprivation through complex network analysis

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    Understanding which factors are determinant to guarantee the human right to education entails the study of a large number of non-linear relationships among multiple agents and their impact on the properties of the entire system. Complex network analysis of large-scale assessment results provides a set of unique advantages over classical tools for facing the challenge of measuring inequality gaps in learning outcomes and recognizing those factors associated with educational deprivation, combining the richness of qualitative analysis with quantitative inferences. This study establishes two milestones in educational research using a census high-quality data from a Latin American country. The first one is to provide a direct method to recognize the structure of inequality and the relationship between social determinants as ethnicity, socioeconomic status of students, rurality of the area and type of school funding and educational deprivation. The second one focus in unveil and hierarchize educational and non-educational factors associated with the conditional distribution of learning outcomes. This contribution provides new tools to current theoretical framework for discovering non-trivial relationships in educational phenomena, helping policymakers to address the challenge of ensuring inclusive and equitable education for those historically marginalized population groups.info:eu-repo/semantics/acceptedVersio
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