The relationship of culturally responsive instruction and the reading comprehension and attitude of struggling urban adolescent readers

Culturally responsive instruction refers to the identification of relevant cultural aspects of students' lives and infusion of these into the curriculum. This instructional approach assumes that a culturally appropriate curriculum can potentially motivate, engage, and lead students to higher rates of achievement. This quasi-experimental study (N=44) investigated the relationship of culturally responsive instruction and the reading comprehension and attitude of struggling urban adolescent readers. The study incorporated the use of culturally responsive instruction using culturally relevant literature (CRL), the Bluford Series Novels, as authentic texts of instruction. Participants were seventh grade reading students at a Title I middle school in South Florida. After a baseline period, two different classes were taught for 8 weeks using different methods. One class formed the experimental group ( n=22) and the other class formed the comparison group (n =22). The CRI curriculum for the experimental group embraced the socio-cultural perspective through the use of small discussion groups in which students read and constructed meaning with peers through interaction with the Bluford Series Novels; gave written responses to multiple strategies according to SCRAP - Summarize, Connect, Reflect, Ask Questions, Predict; responded to literal and inferential questions, while at the same time validating their responses through evidence from the text. The Read XL (basal reader) curriculum of the comparison group utilized a traditional form of instruction which incorporated the reading of passages followed by responses to comprehension questions, and teacher-led whole group discussion. The main sources of data were collected from the Gates-MacGinitie Reading Tests, the Florida Assessments for Instruction in Reading (FAIR), and the Rhody Secondary Reading Attitude Assessment. Statistical analyses were performed using Repeated Measures ANOVAs. Findings from the study revealed that the experimental participants' reading attitudes and FAIR comprehension scores increased when compared to the comparison group. Overall, the results from the study revealed that culturally responsive instruction can potentially foster reading comprehension and a more positive attitude towards reading. However, a replication of this study in other settings with a larger, more randomized sample size and a greater ethnic variation is needed in order to make full generalizations.

Development of the Sphere Overlap Scale (SOS) : compartmentalization and the spillover hypothesis

The purpose of this study was to create a scale that could measure compartmentalization. In the first of two studies 311 working undergraduates were asked to indicate agreement with 119 items that measured compartmentalization. The resulting scale's reliability and validity were evaluated by having a second sample of 312 working students complete the items that comprise a sphere overlap scale, two measures of spillover, and a measure of personality, coping, and demoralization. Although the study's original goal was not realized, its procedures were successful in developing a short (10-item) measure of work-to-home spillover whose items loaded on a single factor. Structural equation modeling indicated that SOS items were correlated with existing measures of spillover and could be discriminated from related concepts of personality and coping. The SOS was also more highly correlated with demoralization than existing measures of spillover in hierarchical analyses that controlled for demographic factors, personality characteristics, and coping style. It is concluded that the SOS shows enough promise to warrant the cost of its appraisal as an alternative measure of spillover in a longitudinal study.

Coping with life events through possible selves

This study examines the integration of life events into the possible selves repertoire and explores the potential relationship between event-related possible selves and coping. The sample consisted of 198 participants, with age ranging from 18 - 84. Participants were administered interviews consisting of demographic information, the Possible Selves Interview, the Social Readjustment Rating Scale, the Ways of Coping Checklist-Revised, the Satisfaction with Life Scale, and the General Well-Being Schedule. Results indicate that the Integration of stressful events into the possible selves repertoire positively impacted coping. This study paves the way for important prevention programs aimed at promoting an individual's well being.

A Study of the Behavioural and Affective Profile of Inpatient Adolescent Girls Presenting a Restrictive Anorexia Nervosa

Essai doctoral d'intégration présenté à la Faculté des Études Supérieures et Postdoctorales en vue de l'obtention du grade de Docteur en psychologie (D.Psy.), en psychologie clinique

Presenting SAPUSS: solving aerosol problem by using synergistic strategies in Barcelona, Spain

This paper presents the summary of the key objectives, instrumentation and logistic details, goals, and initial scientific findings of the European Marie Curie Action SAPUSS project carried out in the western Mediterranean Basin (WMB) during September-October in autumn 2010. The key SAPUSS objective is to deduce aerosol source characteristics and to understand the atmospheric processes responsible for their generations and transformations - both horizontally and vertically in the Mediterranean urban environment. In order to achieve so, the unique approach of SAPUSS is the concurrent measurements of aerosols with multiple techniques occurring simultaneously in six monitoring sites around the city of Barcelona (NE Spain): a main road traffic site, two urban background sites, a regional background site and two urban tower sites (150 m and 545 m above sea level, 150 m and 80 m above ground, respectively). SAPUSS allows us to advance our knowledge sensibly of the atmospheric chemistry and physics of the urban Mediterranean environment. This is well achieved only because of both the three dimensional spatial scale and the high sampling time resolution used. During SAPUSS different meteorological regimes were encountered, including warm Saharan, cold Atlantic, wet European and stagnant regional ones. The different meteorology of such regimes is herein described. Additionally, we report the trends of the parameters regulated by air quality purposes (both gaseous and aerosol mass concentrations); and we also compare the six monitoring sites. High levels of traffic-related gaseous pollutants were measured at the urban ground level monitoring sites, whereas layers of tropospheric ozone were recorded at tower levels. Particularly, tower level night-time average ozone concentrations (80 +/- 25 mu g m(-3)) were up to double compared to ground level ones. The examination of the vertical profiles clearly shows the predominant influence of NOx on ozone concentrations, and a source of ozone aloft. Analysis of the particulate matter (PM) mass concentrations shows an enhancement of coarse particles (PM2.5-10) at the urban ground level (+64 %, average 11.7 mu g m(-3)) but of fine ones (PM1) at urban tower level (+28 %, average 14.4 mu g m(-3)). These results show complex dynamics of the size-resolved PM mass at both horizontal and vertical levels of the study area. Preliminary modelling findings reveal an underestimation of the fine accumulation aerosols. In summary, this paper lays the foundation of SAPUSS, an integrated study of relevance to many other similar urban Mediterranean coastal environment sites.

Bayesian Inference in Large-scale Problems

Many modern applications fall into the category of "large-scale" statistical problems, in which both the number of observations n and the number of features or parameters p may be large. Many existing methods focus on point estimation, despite the continued relevance of uncertainty quantification in the sciences, where the number of parameters to estimate often exceeds the sample size, despite huge increases in the value of n typically seen in many fields. Thus, the tendency in some areas of industry to dispense with traditional statistical analysis on the basis that "n=all" is of little relevance outside of certain narrow applications. The main result of the Big Data revolution in most fields has instead been to make computation much harder without reducing the importance of uncertainty quantification. Bayesian methods excel at uncertainty quantification, but often scale poorly relative to alternatives. This conflict between the statistical advantages of Bayesian procedures and their substantial computational disadvantages is perhaps the greatest challenge facing modern Bayesian statistics, and is the primary motivation for the work presented here.

Two general strategies for scaling Bayesian inference are considered. The first is the development of methods that lend themselves to faster computation, and the second is design and characterization of computational algorithms that scale better in n or p. In the first instance, the focus is on joint inference outside of the standard problem of multivariate continuous data that has been a major focus of previous theoretical work in this area. In the second area, we pursue strategies for improving the speed of Markov chain Monte Carlo algorithms, and characterizing their performance in large-scale settings. Throughout, the focus is on rigorous theoretical evaluation combined with empirical demonstrations of performance and concordance with the theory.

One topic we consider is modeling the joint distribution of multivariate categorical data, often summarized in a contingency table. Contingency table analysis routinely relies on log-linear models, with latent structure analysis providing a common alternative. Latent structure models lead to a reduced rank tensor factorization of the probability mass function for multivariate categorical data, while log-linear models achieve dimensionality reduction through sparsity. Little is known about the relationship between these notions of dimensionality reduction in the two paradigms. In Chapter 2, we derive several results relating the support of a log-linear model to nonnegative ranks of the associated probability tensor. Motivated by these findings, we propose a new collapsed Tucker class of tensor decompositions, which bridge existing PARAFAC and Tucker decompositions, providing a more flexible framework for parsimoniously characterizing multivariate categorical data. Taking a Bayesian approach to inference, we illustrate empirical advantages of the new decompositions.

Latent class models for the joint distribution of multivariate categorical, such as the PARAFAC decomposition, data play an important role in the analysis of population structure. In this context, the number of latent classes is interpreted as the number of genetically distinct subpopulations of an organism, an important factor in the analysis of evolutionary processes and conservation status. Existing methods focus on point estimates of the number of subpopulations, and lack robust uncertainty quantification. Moreover, whether the number of latent classes in these models is even an identified parameter is an open question. In Chapter 3, we show that when the model is properly specified, the correct number of subpopulations can be recovered almost surely. We then propose an alternative method for estimating the number of latent subpopulations that provides good quantification of uncertainty, and provide a simple procedure for verifying that the proposed method is consistent for the number of subpopulations. The performance of the model in estimating the number of subpopulations and other common population structure inference problems is assessed in simulations and a real data application.

In contingency table analysis, sparse data is frequently encountered for even modest numbers of variables, resulting in non-existence of maximum likelihood estimates. A common solution is to obtain regularized estimates of the parameters of a log-linear model. Bayesian methods provide a coherent approach to regularization, but are often computationally intensive. Conjugate priors ease computational demands, but the conjugate Diaconis--Ylvisaker priors for the parameters of log-linear models do not give rise to closed form credible regions, complicating posterior inference. In Chapter 4 we derive the optimal Gaussian approximation to the posterior for log-linear models with Diaconis--Ylvisaker priors, and provide convergence rate and finite-sample bounds for the Kullback-Leibler divergence between the exact posterior and the optimal Gaussian approximation. We demonstrate empirically in simulations and a real data application that the approximation is highly accurate, even in relatively small samples. The proposed approximation provides a computationally scalable and principled approach to regularized estimation and approximate Bayesian inference for log-linear models.

Another challenging and somewhat non-standard joint modeling problem is inference on tail dependence in stochastic processes. In applications where extreme dependence is of interest, data are almost always time-indexed. Existing methods for inference and modeling in this setting often cluster extreme events or choose window sizes with the goal of preserving temporal information. In Chapter 5, we propose an alternative paradigm for inference on tail dependence in stochastic processes with arbitrary temporal dependence structure in the extremes, based on the idea that the information on strength of tail dependence and the temporal structure in this dependence are both encoded in waiting times between exceedances of high thresholds. We construct a class of time-indexed stochastic processes with tail dependence obtained by endowing the support points in de Haan's spectral representation of max-stable processes with velocities and lifetimes. We extend Smith's model to these max-stable velocity processes and obtain the distribution of waiting times between extreme events at multiple locations. Motivated by this result, a new definition of tail dependence is proposed that is a function of the distribution of waiting times between threshold exceedances, and an inferential framework is constructed for estimating the strength of extremal dependence and quantifying uncertainty in this paradigm. The method is applied to climatological, financial, and electrophysiology data.

The remainder of this thesis focuses on posterior computation by Markov chain Monte Carlo. The Markov Chain Monte Carlo method is the dominant paradigm for posterior computation in Bayesian analysis. It has long been common to control computation time by making approximations to the Markov transition kernel. Comparatively little attention has been paid to convergence and estimation error in these approximating Markov Chains. In Chapter 6, we propose a framework for assessing when to use approximations in MCMC algorithms, and how much error in the transition kernel should be tolerated to obtain optimal estimation performance with respect to a specified loss function and computational budget. The results require only ergodicity of the exact kernel and control of the kernel approximation accuracy. The theoretical framework is applied to approximations based on random subsets of data, low-rank approximations of Gaussian processes, and a novel approximating Markov chain for discrete mixture models.

Data augmentation Gibbs samplers are arguably the most popular class of algorithm for approximately sampling from the posterior distribution for the parameters of generalized linear models. The truncated Normal and Polya-Gamma data augmentation samplers are standard examples for probit and logit links, respectively. Motivated by an important problem in quantitative advertising, in Chapter 7 we consider the application of these algorithms to modeling rare events. We show that when the sample size is large but the observed number of successes is small, these data augmentation samplers mix very slowly, with a spectral gap that converges to zero at a rate at least proportional to the reciprocal of the square root of the sample size up to a log factor. In simulation studies, moderate sample sizes result in high autocorrelations and small effective sample sizes. Similar empirical results are observed for related data augmentation samplers for multinomial logit and probit models. When applied to a real quantitative advertising dataset, the data augmentation samplers mix very poorly. Conversely, Hamiltonian Monte Carlo and a type of independence chain Metropolis algorithm show good mixing on the same dataset.

A Study of the Behavioural and Affective Profile of Inpatient Adolescent Girls Presenting a Restrictive Anorexia Nervosa

Essai doctoral d'intégration présenté à la Faculté des Études Supérieures et Postdoctorales en vue de l'obtention du grade de Docteur en psychologie (D.Psy.), en psychologie clinique

Late-career international migration and reproductive work. A comparison between Peruvian and Ukrainian women in the Southern Europe

Research on the relationship between reproductive work and women´s life trajectories including the experience of labour migration has mainly focused on the case of relatively young mothers who leave behind, or later re-join, their children. While it is true that most women migrate at a younger age, there are a significant number of cases of men and women who move abroad for labour purposes at a more advanced stage, undertaking a late-career migration. This is still an under-estimated and under-researched sub-field that uncovers a varied range of issues, including the global organization of reproductive work and the employment of migrant women as domestic workers late in their lives. By pooling the findings of two qualitative studies, this article focuses on Peruvian and Ukrainian women who seek employment in Spain and Italy when they are well into their forties, or older. A commonality the two groups of women share is that, independently of their level of education and professional experience, more often than not they end up as domestic and care workers. The article initially discusses the reasons for late-career female migration, taking into consideration the structural and personal determinants that have affected Peruvian and Ukrainian women’s careers in their countries of origin and settlement. After this, the focus is set on the characteristics of domestic employment at later life, on the impact on their current lives, including the transnational family organization, and on future labour and retirement prospects. Apart from an evaluation of objective working and living conditions, we discuss women’s personal impressions of being domestic workers in the context of their occupational experiences and family commitments. In this regard, women report varying levels of personal and professional satisfaction, as well as different patterns of continuity-discontinuity in their work and family lives, and of optimism towards the future. Divergences could be, to some extent, explained by the effect of migrants´ transnational social practices and policies of states.

Diagnóstico del rendimiento académico de estudiantes de una escuela de educación superior en México

El objetivo del artículo es realizar un diagnóstico sobre la percepción de los factores que intervienen en el rendimiento académico de los estudiantes de cinco carreras universitarias en una escuela de educación superior en México, para así reconocer las áreas de oportunidad que permitan sugerir políticas y estrategias para elevar su rendimiento. Se utilizó una muestra de 1651 estudiantes, se obtuvieron los datos a partir de un cuestionario con treinta preguntas que estudian la percepción del rendimiento académico en escala tipo Likert. Se realizó un análisis factorial exploratorio que permitiera reducir los datos, facilitar la interpretación y validar el instrumento. Se identificaron tres factores: a) el rol de los profesores, b) la evaluación y c) la motivación de los estudiantes. Se llevó a cabo un análisis comparativo por carrera. Se encontró que los estudiantes perciben que la mayoría de los maestros no se preocupan por la condición de los jóvenes en situación de reprobación. Además, casi no motivan y carecen de expresiones de sentimientos de orgullo por los logros académicos de los estudiantes. La mitad de los participantes piensa que los docentes no cubren el temario en su totalidad. Se detectó que los estudiantes poseen una alta motivación siendo esto positivo porque son alumnos dedicados y responsables. Se concluye realizando una serie de sugerencias y explicando las implicaciones que tiene este trabajo para las instituciones de educación superior.

Correlation between anxiety and academic self-concept in interpreter trainees

This paper focuses on two basic issues: the anxiety-generating nature of the interpreting task and the relevance of interpreter trainees’ academic self-concept. The first has already been acknowledged, although not extensively researched, in several papers, and the second has only been mentioned briefly in interpreting literature. This study seeks to examine the relationship between the anxiety and academic self-concept constructs among interpreter trainees. An adapted version of the Foreign Language Anxiety Scale (Horwitz et al., 1986), the Academic Autoconcept Scale (Schmidt, Messoulam & Molina, 2008) and a background information questionnaire were used to collect data. Students’ t-Test analysis results indicated that female students reported experiencing significantly higher levels of anxiety than male students. No significant gender difference in self-concept levels was found. Correlation analysis results suggested, on the one hand, that younger would-be interpreters suffered from higher anxiety levels and students with higher marks tended to have lower anxiety levels; and, on the other hand, that younger students had lower self-concept levels and higher-ability students held higher self-concept levels. In addition, the results revealed that students with higher anxiety levels tended to have lower self-concept levels. Based on these findings, recommendations for interpreting pedagogy are discussed.

National climate policies across Europe and their impacts on cities strategies

Globally, efforts are underway to reduce anthropogenic greenhouse gas emissions and to adapt to climate change impacts at the local level. However, there is a poor understanding of the relationship between city strategies on climate change mitigation and adaptation and the relevant policies at national and European level. This paper describes a comparative study and evaluation of cross-national policy. It reports the findings of studying the climate change strategies or plans from 200 European cities from Austria, Belgium, Estonia, Finland, France, Germany, Ireland, Italy, Netherlands, Spain and the United Kingdom. The study highlights the shared responsibility of global, European, national, regional and city policies. An interpretation and illustration of the influences from international and national networks and policy makers in stimulating the development of local strategies and actions is proposed. It was found that there is no archetypical way of planning for climate change, and multiple interests and motivations are inevitable. Our research warrants the need for a multi-scale approach to climate policy in the future, mainly ensuring sufficient capacity and resource to enable local authorities to plan and respond to their specific climate change agenda for maximising the management potentials for translating environmental challenges into opportunities.

Scaling up strategies of the chronic respiratory disease programme of the European Innovation Partnership on Active and Healthy Ageing (Action Plan B3: Area 5)

Action Plan B3 of the European Innovation Partnership on Active and Healthy Ageing (EIP on AHA) focuses on the integrated care of chronic diseases. Area 5 (Care Pathways) was initiated using chronic respiratory diseases as a model. The chronic respiratory disease action plan includes (1) AIRWAYS integrated care pathways (ICPs), (2) the joint initiative between the Reference site MACVIA-LR (Contre les MAladies Chroniques pour un VIeillissement Actif) and ARIA (Allergic Rhinitis and its Impact on Asthma), (3) Commitments for Action to the European Innovation Partnership on Active and Healthy Ageing and the AIRWAYS ICPs network. It is deployed in collaboration with the World Health Organization Global Alliance against Chronic Respiratory Diseases (GARD). The European Innovation Partnership on Active and Healthy Ageing has proposed a 5-step framework for developing an individual scaling up strategy: (1) what to scale up: (1-a) databases of good practices, (1-b) assessment of viability of the scaling up of good practices, (1-c) classification of good practices for local replication and (2) how to scale up: (2-a) facilitating partnerships for scaling up, (2-b) implementation of key success factors and lessons learnt, including emerging technologies for individualised and predictive medicine. This strategy has already been applied to the chronic respiratory disease action plan of the European Innovation Partnership on Active and Healthy Ageing.

Influência do Suporte Social e dos Estilos de Coping na Percepção de Bem-estar Subjectivo em Doentes Mentais Crónicos

O objectivo do presente estudo consistiu em verificar a influência do suporte social e dos estilos de coping sobre a percepção de bem-estar subjectivo e de estados emocionais negativos numa amostra de 41 indivíduos (27 homens e 14 mulheres) portadores de doença mental crónica, com idades compreendidas entre os 18 e 61 anos. Foram, ainda, identificados os principais estilos de coping utilizados por esses indivíduos, bem como um estudo de comparação entre doentes institucionalizados e não-institucionalizados. Foram utilizados os seguintes instrumentos: Escala de Satisfação com o Suporte Social, constituída por quatro subescalas (satisfação com amizades, intimidade, satisfação com a família e actividades sociais); Questionário dos Estilos de Coping, formado igualmente por quatro subescalas (Coping Racional, Coping Emocional, Coping Evitante e Coping Distanciado/Desligado); Escala de Satisfação com a Vida e, por último, a Escala de Depressão, Ansiedade e Stress. Os resultados demonstram que o valor global de suporte social e as suas dimensões “satisfação com amizades”, “intimidade”, “satisfação com a família” e “actividades sociais” se correlacionam positivamente, a nível estatisticamente significativo com o bem-estar subjectivo. Relativamente ao estilo de coping racional, verifica-se que este se relaciona negativamente com a sintomatologia depressiva, ao contrário do coping emocional que apresenta uma correlação positiva com os estados emocionais negativos (depressão, ansiedade e stress) e uma relação inversa com o bem-estar. Os doentes institucionalizados, comparativamente aos não-institucionalizados, apresentam o uso mais frequente de coping desadaptativo (emocional) e níveis mais elevados de ansiedade. O suporte social, os estilos de coping e a percepção de bem-estar subjectivo demonstram estar associados de modo teoricamente esperado, mostrando a importância dos factores psicossociais na adaptação à doença mental crónica. / The aims of this study was to verify the influence of social support and coping styles on the perception of subjective well-being and negative emotional states in a sample of 41 subjects (27 men and 14 woman) with chronic mental illness (aged between 18 and 61 years). We also identified the main coping styles used by these subjects, as well as a comparative study of institutionalized patients and non-institutionalized. Instruments used include the Satisfaction with Social Support (with four dimensions: satisfaction with friendships, intimacy, satisfaction with family and social activities); Coping Styles Questionnaire (with four coping dimensions: rational, emotional, avoidant and distance); Scale of Satisfaction with Life and, finnaly, the Scale for Depression, Anxiety and Stress. Results shows that the global social support and its dimensions “satisfaction with friendships”, “intimacy”, “satisfaction with family” and “social activities” have a statistically significant positive correlation with subjective well-being.and It appears that the rational coping styles is negatively related to depressive symptoms, unlike the emotional coping has a positive correlation with negative emotional states (depression, anxiety and stress) and an inverse relationship with well-being. The institutionalized patients, compared to non-institutionalized, have more frequent use of maladaptative coping (emotional) and higher levels of anxiety. Social support, coping styles and perception of subjective well-being are associated according to the theoretical models, showing the role of psychosocial factors in adaptation to chronic mental illness.

MSc Thesis - Discoverability Strategies for Open Educational Resources: A Scoping Study

With an early focus on achieving a critical mass of released open educational content, challenges of how resources can be found by beneficiaries has been highlighted as a major issue. As we move forward further research and investigation is required to understand the most effective approaches of reaching out to and engaging a globally dispersed population of education users. In 2014 I conducted a small scale scoping study into the discoverability strategies identified as being used by higher education institutions releasing OERs in the UK. This was mapped against a body of literature on our understanding of user behaviour for online resource discovery and the technologies available to support this to identify trends and gaps as opportunities for improvements. Please note this report was not originally written for publication. I hope however it is of value to the open education community and will act as a starting point for further research in this area.

Resiliência, Coping e Autocompaixão em Cuidadores Formais da Rede Nacional de Cuidados Continuados Integrados

Introdução: Na literatura internacional e nacional verifica-se a inexistência de estudos sobre os correlatos psicológicos de cuidadores formais, como a resiliência e o coping. Apesar de se reconhecer a importância de uma prestação de cuidados mais compassivos e humanizados, mais uma vez, não existem estudos nesta área. Este facto estende-se aos cuidadores formais que trabalham com pessoas em situação de dependência, na Rede Nacional de Cuidados Continuados Integrados. Assim, foram nossos objetivos: caraterizar os cuidadores formais de algumas Unidades de Cuidados Continuados (UCC) da RNCCI em variáveis sociodemográficas e profissionais; analisar os seus níveis de resiliência, coping e autocompaixão; verificar se existem associações significativas entre estas variáveis e com as variáveis sociodemográficas e profissionais. Metodologia: 78 cuidadores formais (sexo feminino, n = 76; 97,4%), com uma média de idades de 35,45 anos (DP = 9,0) forneceram o seu consentimento informado para preencherem um questionário sociodemográfico e profissional, a Escala de Avaliação Global da Resiliência, o Brief COPE e a Self Compassion Scale (SELFCS). Resultados: Os cuidadores revelaram um nível médio de resiliência (total). A dimensão de coping com média mais elevada foi o Coping ativo e a com média mais baixa foi o Uso de substâncias. Na SELFCS a dimensão com média mais elevada foi o Calor/compreensão e a com média mais baixa foi o Isolamento. No geral, a pontuação total de resiliência correlacionou-se de forma positiva com as dimensões positivas da autocompaixão (SELFCS) e de forma negativa com as dimensões negativas desta escala. As dimensões mais positivas de coping correlacionaram-se de forma positiva com as dimensões positivas de autocompaixão e as mais negativas de coping com as dimensões negativas de autocompaixão. Quanto maior a idade dos cuidadores menor o nível de Suporte Emocional e maior o nível de Religião e Mindfulness. Mais horas de trabalho associaram-se a menor resiliência e a maior nível de Suporte Emocional Discussão: Este estudo revelou, ainda que numa amostra reduzida, que os cuidadores formais das UCC parecem revelar níveis equilibrados em correlatos psicológicos importantes quando se “cuida” de outra pessoa. Porém, as UCC devem preocupar-se em fomentar, junto dos cuidadores, níveis mais elevados de resiliência, estratégias mais positivas de coping e a compaixão auto e hétero dirigida, para assegurar um “cuidar” mais pleno quer para os profissionais, quer para aqueles que são cuidados. / Introduction: In the international and national literature, we verified the inexistence of studies about psychological correlates of formal caregivers, such as resilience and coping. Although the importance of more humanized and compassive care is recognized, again, there are no studies in this area. This is also verified regarding formal caregivers that work with people in a dependence situation, as in the National Network of Continuous Care. Our aims were to characterize the formal caregivers from some units of the National Network of Continuous Care in sociodemographic and professional variables; analyze these professionals levels of resilience, coping and self-compassion; verify if there are significant associations between these variables and with the sociodemographic and professional variables. Methodology: 78 formal caregivers (female, n = 76; 97,4%), with an mean age of 35,45 years (SD = 9,0) provided their informed consent to fill in a professional and sociodemographic questionnaire, the Global Resiliency Evaluation Scale, the Brief COPE and the Self Compassion Scale (SELFCS). Results: The caregivers showed a medium level of resilience. The coping dimension with the highest mean was Active coping and the dimension with the lowest mean was Substance Use. Regarding SELFCS the dimension with the highest mean was Warmth, contrasting with Isolation, the dimension with the lowest mean. Overall, the total score of resilience was positively correlated with self-compassion positive dimensions (SELFCS) and negatively correlated with the negative dimensions of this scale. The most positive dimensions of coping were positively correlated with the positive dimensions of self-compassion and the most negative dimensions of coping were correlated with the negative dimensions of self-compassion. Older caregivers showed lower use of Emotional support and higher level of Religion and Mindfulness use. More daily hours of work were associated with less resilience and higher Emotional Support. Discussion: This study revealed, although in a small sample, that Continuous Care Units (CCU) formal caregivers seem to have balanced levels of psychological correlates that are important while caring for others. However, the CCU should promote, in the caregivers higher levels of resilience, coping and self-compassion, to ensure a better care, simultaneously the professionals and patients.