Joan C Medina
I completed my Bachelor's degree in Psychology at the Universitat Autonoma de Barcelona (UAB) in 2012, moving to the Universitat de Barcelona (UB) afterwards to continue my studies. At the UB I successfully completed the Master's in Health Psychology in 2014, which allowed me to enrol in the PhD program in Clinical and Health Psychology the same year. In 2015 I also started the Master's in Cognitive Social Therapy at the same university.
The focus of my research has always been Clinical and Health Psychology, area in which I am developing my PhD project. I am particularly interested in (cognitive) psychotherapy process and outcomes, according to my clinical profile. I am currently involved in research projects encompassing depression, fibromyalgia and chronic pain. Apart from studying the influence of therapy in these mental illnesses, I am also exploring how it affects wellbeing and happiness.
Supervisors: Prof. Guillem Feixas
The focus of my research has always been Clinical and Health Psychology, area in which I am developing my PhD project. I am particularly interested in (cognitive) psychotherapy process and outcomes, according to my clinical profile. I am currently involved in research projects encompassing depression, fibromyalgia and chronic pain. Apart from studying the influence of therapy in these mental illnesses, I am also exploring how it affects wellbeing and happiness.
Supervisors: Prof. Guillem Feixas
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Objectives. The main objective of this study was to adapt the YP-CORE into Spanish, estimating also its psychometric properties.
Method. We describe the process of adaptation into Spanish and a first psychometric study of the YP-CORE. 104 participants were recruited in the clinical sample and 131 in the non-clinical sample. Given the non-normality of the data, both parametric and non-parametric analyses were applied to estimate acceptability, internal consistency, test-retest stability, differences between clinical and non-clinical samples, the influence of age and gender, the factorial structure, and the cut-off score. Also, convergent validity was studied with the Youth Self-Report (YSR).
Results. The YP-CORE showed good levels of acceptability, adequate internal consistency and test-retest stability, with moderately high correlations. In addition, the instrument yielded significant correlations with all dimensions of YSR, with the highest being those between both totals scores. Moreover, it has also proven to be useful in discriminating between clinical and non-clinical samples, showing a small effect of age but a larger effect of sex, with higher scores for females. Principal Component Analysis replicates the original structure. The cut-off scores to calculate the clinically significant change are also provided.
Conclusions. These results allow a reliable use of the instrument, although there are certain limitations suggesting the need for conducting more research with larger and more representative samples.
Papers
Objectives. The main objective of this study was to adapt the YP-CORE into Spanish, estimating also its psychometric properties.
Method. We describe the process of adaptation into Spanish and a first psychometric study of the YP-CORE. 104 participants were recruited in the clinical sample and 131 in the non-clinical sample. Given the non-normality of the data, both parametric and non-parametric analyses were applied to estimate acceptability, internal consistency, test-retest stability, differences between clinical and non-clinical samples, the influence of age and gender, the factorial structure, and the cut-off score. Also, convergent validity was studied with the Youth Self-Report (YSR).
Results. The YP-CORE showed good levels of acceptability, adequate internal consistency and test-retest stability, with moderately high correlations. In addition, the instrument yielded significant correlations with all dimensions of YSR, with the highest being those between both totals scores. Moreover, it has also proven to be useful in discriminating between clinical and non-clinical samples, showing a small effect of age but a larger effect of sex, with higher scores for females. Principal Component Analysis replicates the original structure. The cut-off scores to calculate the clinically significant change are also provided.
Conclusions. These results allow a reliable use of the instrument, although there are certain limitations suggesting the need for conducting more research with larger and more representative samples.