908 resultados para Return to education


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Bibliography: p. 23-25.

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In order to present an estimation of the Internal Rate of Return (IRR) to higher education in Colombia we take advantage of the methodological approach provided by Heckman, Lochner and Todd (2005). Trying to overcome the criticism that surrounds interpretations of the education coefficient of Mincer equations as being the rate of return to investments in education we develop a more structured approach of estimation, which controls for selection bias, includes more accurate measures of labor income and the role of education costs and income taxes. Our results implied a lower rate of return than the ones found in the Colombian literature and show that the Internal Rate of Return for higher education in Colombia lies somewhere between 0.074 and 0.128. The results vary according to the year analyzed and individual’s gender. This last result reinforces considerations regarding gender discrimination in the Colombian labor market.

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Explanation of Minimum Data Set (MDS), implementation of Section Q, overview of the program, local contacts and functions, Referral Agency information, role and assistance provided by Long-Term care Ombudsman

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This paper addresses the migration behaviours of young university graduates from a rural region in Switzerland. Based on a questionnaire survey, it compares graduates' current place of residence (i.e. whether or not they returned to their home region) with characteristics related to their socio-familial, migration and professional trajectories. The propensity to return varies not only according to labour market variables (employment opportunities), but also to other factors, some of which have even more influence than job opportunities. The graduates' life course position (kind of household), their partners' characteristics (level of education and home region) and their family background (socio-economic status and history of migration) all play a central role. On the whole, results show that migration appears as a selective and complex process embedded in the life course of graduates.

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Introduction.- Knowledge of predictors of an unfavourable outcome, e.g. non-return to work after an injury enables to identify patients at risk and to target interventions for modifiable predictors. It has been recently shown that INTERMED; a tool to measure biopsychosocial complexity in four domains (biologic, psychologic, social and care, with a score between 0-60 points) can be useful in this context. The aim of this study was to set up a predictive model for non-return to work using INTERMED in patients in vocational rehabilitation after orthopaedic injury.Patients and methods.- In this longitudinal prospective study, the cohort consisted of 2156 consecutively included inpatients with orthopaedic trauma attending a rehabilitation hospital after a work, traffic or sport related injury. Two years after discharge, a questionnaire regarding return to work was sent (1502 returned their questionnaires). In addition to INTERMED, 18 predictors known at baseline of the rehabilitation were selected based on previous research. A multivariable logistic regression was performed.Results.- In the multivariate model, not-returning to work at 2 years was significantly predicted by the INTERMED: odds-ratio (OR) 1.08 (95% confidence interval, CI [1.06; 1.11]) for a one point increase in scale; by qualified work-status before the injury OR = 0.74, CI (0.54; 0.99), by using French as preferred language OR = 0.60, CI (0.45; 0.80), by upper-extremity injury OR = 1.37, CI (1.03; 1.81), by higher education (> 9 years) OR = 0.74, CI (0.55; 1.00), and by a 10 year increase in age OR = 1.15, CI (1.02; 1.29). The area under the receiver-operator-characteristics curve (ROC)-curve was 0.733 for the full model (INTERMED plus 18 variables).Discussion.- These results confirm that the total score of the INTERMED is a significant predictor for return to work. The full model with 18 predictors combined with the total score of INTERMED has good predictive value. However, the number of variables (19) to measure is high for the use as screening tool in a clinic.

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Introduction.- The model presented in part I (19 predictors) had good predictive values for non-return to work 2 years after vocational rehabilitation for orthopaedic trauma. However, the number of predictors is high for the detection of patients at risk in a clinic. For example, the INTERMED for itself consists of 20 questions and needs 20 minutes to be filled in. For this reason, the aim of this study was to compare the predictive value of different models for the prediction of non-return to work.Patients and methods.- In this longitudinal prospective study, the cohort consisted of 2156 included inpatients with orthopaedic trauma attending a rehabilitation hospital after a work, traffic, sport or leisure related injury. Two years after discharge, 1502 patients returned a questionnaire regarding return to work. We compared the area under the receiver-operator-characteristics curve (ROC) between different models: INTERMED total score, the 4 partial INTERMED scores, the items of the most predictive partial score; with or without confounders.Results.- The ROC for the total score of the INTERMED plus the five confounders of the of the part one (qualified work, speaking French, lesion of upper extremity, education and age) was 0.72. The sole partial INTERMED score to predict return to work was the social sub score. The ROC for the five items of the latter sub score of the INTERMED was 0.69. The ROC for the five items of the social subscale of the INTERMED combined with five predictors was 0.73. This was significantly better than the use of only the five items from INTERMED alone (delta 0.034; 95% CI 0.017 to .050). The model presented in part I (INTERMED total score plus 18 predictors) was not significantly better than the five items INTERMED social score plus five confounders.Discussion.- The use of a model with ten variables (INTERMED social five items plus five confounders) has good predictive value to detect patients not returning to work after vocational rehabilitation after orthopaedic trauma. The parsimony of this model facilitates its use in a clinic for the detection of patients at risk.

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BACKGROUND: Workers with persistent disabilities after orthopaedic trauma may need occupational rehabilitation. Despite various risk profiles for non-return-to-work (non-RTW), there is no available predictive model. Moreover, injured workers may have various origins (immigrant workers), which may either affect their return to work or their eligibility for research purposes. The aim of this study was to develop and validate a predictive model that estimates the likelihood of non-RTW after occupational rehabilitation using predictors which do not rely on the worker's background. METHODS: Prospective cohort study (3177 participants, native (51%) and immigrant workers (49%)) with two samples: a) Development sample with patients from 2004 to 2007 with Full and Reduced Models, b) External validation of the Reduced Model with patients from 2008 to March 2010. We collected patients' data and biopsychosocial complexity with an observer rated interview (INTERMED). Non-RTW was assessed two years after discharge from the rehabilitation. Discrimination was assessed by the area under the receiver operating curve (AUC) and calibration was evaluated with a calibration plot. The model was reduced with random forests. RESULTS: At 2 years, the non-RTW status was known for 2462 patients (77.5% of the total sample). The prevalence of non-RTW was 50%. The full model (36 items) and the reduced model (19 items) had acceptable discrimination performance (AUC 0.75, 95% CI 0.72 to 0.78 and 0.74, 95% CI 0.71 to 0.76, respectively) and good calibration. For the validation model, the discrimination performance was acceptable (AUC 0.73; 95% CI 0.70 to 0.77) and calibration was also adequate. CONCLUSIONS: Non-RTW may be predicted with a simple model constructed with variables independent of the patient's education and language fluency. This model is useful for all kinds of trauma in order to adjust for case mix and it is applicable to vulnerable populations like immigrant workers.

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The purpose of this research was to explore women elementary teachers' perceptions of how their decision to return to teaching part-time from a maternity leave influences their professional and personal lives. The investigation focused on the decisions surrounding a mother's choice to reenter the teaching profession parttime in a field where each mother had previously been employed full-time. A collective case study was undertaken based on an in-depth interview with five mothers who had made the choice to return to the classroom part-time. The data collected in this study were analyzed and interpreted using qualitative methods. The following four major themes emerged from the interviews: decisionmaking process, challenges faced by mothers who teach part-time, the importance of support, and the enhancement of instructional practice from parenthood. Using these four themes, an analysis was conducted to examine the similarities and differences among the experiences of the participants. The mothers' reflections, my analysis, and the related literature were used at the conclusion of this report to compile implications for teaching practice, theory, and further research.

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This study uses a sample of young Australian twins to examine whether the findings reported in [Ashenfelter, Orley and Krueger, Alan, (1994). 'Estimates of the Economic Return to Schooling from a New Sample of Twins', American Economic Review, Vol. 84, No. 5, pp.1157-73] and [Miller, P.W., Mulvey, C and Martin, N., (1994). 'What Do Twins Studies Tell Us About the Economic Returns to Education?: A Comparison of Australian and US Findings', Western Australian Labour Market Research Centre Discussion Paper 94/4] are robust to choice of sample and dependent variable. The economic return to schooling in Australia is between 5 and 7 percent when account is taken of genetic and family effects using either fixed-effects models or the selection effects model of Ashenfelter and Krueger. Given the similarity of the findings in this and in related studies, it would appear that the models applied by [Ashenfelter, Orley and Krueger, Alan, (1994). 'Estimates of the Economic Return to Schooling from a New Sample of Twins', American Economic Review, Vol. 84, No. 5, pp. 1157-73] are robust. Moreover, viewing the OLS and IV estimators as lower and upper bounds in the manner of [Black, Dan A., Berger, Mark C., and Scott, Frank C., (2000). 'Bounding Parameter Estimates with Nonclassical Measurement Error', Journal of the American Statistical Association, Vol. 95, No.451, pp.739-748], it is shown that the bounds on the return to schooling in Australia are much tighter than in [Ashenfelter, Orley and Krueger, Alan, (1994). 'Estimates of the Economic Return to Schooling from a New Sample of Twins', American Economic Review, Vol. 84, No. 5, pp. 1157-73], and the return is bounded at a much lower level than in the US. (c) 2005 Elsevier B.V. All rights reserved.

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This exploratory descriptive study examined the factors that influence Registered Nurses (RNs) to return to school to pursue a Baccalaureate of Science in Nursing degree (BSN) and the factors that contribute to the decision to remain in school to complete the degree. Students (N = 226) enrolled in RN-BSN programs in three different universities in southeast Florida participated in the study by completing researcher developed questionnaires. The study group included 140 students who were newly enrolled in an RN-BSN program and 86 students who were preparing to graduate from an RN-BSN program. The instruments used in this study were two researcher developed questionnaires, the Corbett Nursing Educational Motivational Inventory - Form A (CNEMI-A), administered to the newly enrolled students, and the Corbett Nursing Educational Motivational Inventory - Form B (CNEMI-B), administered to the graduating students. The questionnaires included researcher-developed items in addition to items derived from a modified form of the Educational Participation Scale used by other researchers. Demographic data were also collected. Findings indicated that changes in health care, career goals, personal satisfaction, and flexible curriculum patterns are the major reasons why RNs return to school for the BSN. Less significant factors were social support, salary increase, and employer expectations. The factors considered most significant in the decision to remain in school to complete the degree were ranked in the following order: personal achievement, changes in health care, career change/advancement, enrollment options, faculty support, social support, and employer support. Implications for nurse educators related to the changing roles of RNs and the need to continue to assist RNs to adapt to new roles in health care. Recommendations for future research on RN-BSN nursing education included studies to identify the courses considered most useful by RN-BSN students as compared to courses considered repetitive of basic nursing programs. Studies were also recommended to examine the differences between the needs of RNs related to experience as an RN and recency of education. Additional studies were recommended to determine the feasibility of dual-enrollment ADN/BSN programs for last semester ADN students. ^

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Educational planners and economists have long recognized the importance of education as a form of productive investment in both advanced countries and developing countries. In the case of Taiwan, along with impressive economic growth, there was an even faster rate of growth of the government's investment in education. This leads some to question whether education has any role in economic development. ^ The purpose of this study is to provide a broad overview of the role of education, in terms of private rates of return to education, in Taiwan. In the process, a variety of hypotheses about human capital theory are examined and an empirical study of Taiwan's earnings functions are tested to show that education can be an important instrument to increase private rate of return, even under conditions of scarcity of natural and physical resources. Data was collected using the Manpower Survey and Manpower Utilization Survey, conducted by the government. Research questions were analyzed using descriptive statistics, frequencies, and regression analysis. ^ Results indicated that the Manpower Development Plans have been the decisive influence in allowing Taiwan to develop its human resources and achieve success in meeting the needs of Taiwan's economy. The structure of age-earnings profiles showed a strong relationship between earnings and education, and the profiles that successively shift upward are associated with higher levels of education. In the cross-sectional results of the rate of return in 1997, each additional year of schooling leads to a 6.2% increase in income. As to the private rates of return to different levels of education, the results found that the private rates of return are 2.88%, 4.85% and 10.05% for primary, secondary and higher education respectively. In an intertemporal comparison for 1980, 1985, 1990 and 1997, the results showed no significant trend except the private rates of return for primary education have been falling from 3.9% to 2.88%. ^ On the basis of this study, for individual student or family in Taiwan, there is likely to be a strong demand for education, particularly at the higher level. Therefore, a well-developed higher educational level becomes essential and the content of curriculum in higher education becomes another crucial question facing planners in Taiwan if they are going to use education as a means to foster economic development. ^