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1. Helping High School-Aged Military Dependents With Autism Gain Employment Through Project SEARCH + ASD Supports.

Author

Whittenburg HN, Schall CM, Wehman P, McDonough J, and DuBois T

Subjects
Adolescent, Autistic Disorder therapy, Child, Education, Special methods, Education, Special statistics & numerical data, Employment statistics & numerical data, Female, Humans, Male, Autistic Disorder psychology, Employment standards, Military Family statistics & numerical data
Abstract

Introduction: Youth with autism spectrum disorder (ASD) face high rates of unemployment, with unique challenges for military-dependent and -connected youth with ASD. This paper reports preliminary findings from Year One of a randomized waitlist controlled trial investigating the efficacy of the Project SEARCH + ASD Supports (PS + ASD) intervention model for military-dependent and -connected youth with ASD., Methods: Treatment group participants (n = 6) participated in internships at a military installation in the southeastern United States; waitlist group participants (n = 8) received special education transition services at their local high schools. Employment outcome data were collected at 12 months for both groups., Results: Fourteen unique internship experiences were developed across seven business partner organizations on the military installation during Year One. Five of six PS + ASD treatment group participants obtained competitive integrated employment for an overall employment rate of 83.3%. Four of the positions were federal jobs. None of the waitlist group participants obtained competitive integrated employment during the same period., Conclusions: Initial results are promising and suggest that the PS + ASD model may help to meet the transition needs of military-dependent and -connected youth with ASD and the employment needs of local military communities., (© Association of Military Surgeons of the United States 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Published
2020
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2. What Corporations Want

Author

McGill, Clearance, Williams, Ernie, Paper, Scott, Adams, Rudy, Wheeler, Foster, Neiger, Bob, and Davis, Ollie

Published
1983

3. Modelowanie czasu trwania zdarzeń powtarzających się na przykładzie zmian miejsca zatrudnienia

Author

Wioletta Grzenda, SGH Warsaw School of Economics, Collegium of Economic Analysis, Institute of Statistics and Demography, and Wioletta Grzenda, PhD, Assistant Professor at SGH Warsaw School of Economics. Her scientific interests focus on modeling of socio-economic and demographic processes. She is an author of papers on the applications of Bayesian and classical statistical methods in the analysis of fertility and labor market.

Subjects
J600, lcsh:Marketing. Distribution of products, model wykładniczy, General Medicine, Random effects model, models with random effects, model Weibulla, Termination of employment, Repeated events, Weibull model, modele z efektami losowymi, repeated events, zatrudnienie, lcsh:Finance, lcsh:HG1-9999, employment, powtarzające się zdarzenia, Econometrics, lcsh:HF5410-5417.5, exponential model, Duration (project management), Psychology
Abstract

This paper concerns the issue of survival modelling in the case of repeated events. In the modelling of this type of events, attention should be paid to the existence of dependence among the analysed durations, as well as the occurrence of unobserved heterogeneity. One of the ways to include these aspects in the analysis is to use models with random effects. The primary objective of this paper is to present the application of such models to analyse changes in the place of employment. The duration of individual periods of employment for the surveyed employees was modelled. The approach used made it possible to identify factors influencing decisions on job changes, but also to assess the risk of occurrence of events such as termination of employment, and to examine the impact of unobserved heterogeneity on the results of the estimations. W artykule został podjęty problem modelowania czasu trwania w przypadku powtarzających się zdarzeń. W modelowaniu tego typu zdarzeń należy zwrócić uwagę na występowanie zależności między analizowanymi czasami trwania, jak również nieobserwowalnej heterogeniczności. Jednym ze sposobów uwzględnienia w analizie tych aspektów jest wykorzystanie modeli z efektami losowymi. Głównym celem artykułu jest zaprezentowanie możliwości wykorzystania tego typu modeli do analizy zmian miejsc zatrudnienia. Modelowaniu poddano czas trwania poszczególnych okresów zatrudnienia dla badanych jednostek. Wykorzystane podejście umożliwiło identyfikację czynników wpływających na decyzje o zmianie miejsca zatrudnienia, ocenę ryzyka wystąpienia zdarzenia, jakim jest rozwiązanie stosunku pracy, oraz zbadanie wpływu nieobserwowalnej heterogeniczności na wyniki przeprowadzonych estymacji. This study has been prepared as part of a project funded by the National Science Centre, Poland, entitled “The modeling of parallel family and occupational careers with Bayesian methods” (2015/17/B/HS4/02064).

Published
2019