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1.
Clín. salud ; 28(2): 81-91, jul. 2017. graf, tab
Article in Spanish | IBECS | ID: ibc-163961

ABSTRACT

El objetivo de este trabajo ha sido conocer la situación del uso de las nuevas tecnologías entre los psicólogos de la Comunidad de Madrid (CM) y su actitud ante las mismas. El método para acceder a esta información ha sido construir una encuesta, enviada por e-mail, elaborada a partir de una revisión de la literatura sobre este tema, con poca investigación previa en nuestro entorno pero que ya se ha explorado en otros países. La muestra estaba constituida por la totalidad de los psicólogos inscritos en el COP de Madrid, facilitado por la dirección del mismo, obteniéndose un total de 486 respuestas. Hasta la fecha sólo un 26% utiliza teleterapia. Los principales inconvenientes encontrados son las limitaciones de la comunicación no verbal y la alianza terapéutica, seguidas de la confidencialidad de los datos y los problemas técnicos en el manejo de los mismos


The aim of this paper is to know the real situation in the use of information and communication technologies alongside the attitude of psychologists in Madrid Region. We conducted a quantitative research by means of a questionnaire based on previous literature reviews regarding the same topic in other countries. The sample consisted of all psychologists registered in the Spanish Psychology Association (COP), Madrid branch, with a total 486 responses. Only 26% use teletherapy along with other combined therapy modality involving face to face communication. Drawbacks in the study include primarily limitations of non-verbal communication and the therapeutic alliance, followed by confidentiality of data and technical problems with handling data


Subject(s)
Humans , Psychological Techniques/instrumentation , Multimedia , Social Media , Remote Consultation , Attitude to Computers , Mobile Applications
2.
Span J Psychol ; 16: E37, 2013.
Article in English | MEDLINE | ID: mdl-23866232

ABSTRACT

This study's objective is to analyze temperament and parenting variables as they relate to proactive and reactive aggression in children. To be specific, profiles based on these variables were analyzed in children with high levels of proactive versus reactive aggression. The sample was made up of two groups: 482 children (52.3% boys) between 1 and 3 years-old, and 422 children (42.42% boys) 3 to 6 years-old. Statistical analyses of the two age groups included: Pearson's correlations to explore the relationships among variables, Cluster Analysis to create groups with different levels of aggression, and finally discriminant analysis to determine which variables discriminate between groups. The results show that high levels of frustration/negative affect in the 1-3 year-old group and low effortful control in children 3 to 6 years old are the most relevant variables in differentiating between aggressive and non-aggressive subjects. Nevertheless, differential profiles of subjects with high levels of proactive versus reactive aggression were not observed. The implications of these different types of aggression in terms of development and prevention are discussed.


Subject(s)
Aggression , Family Relations , Social Environment , Socialization , Temperament , Child , Child Rearing/psychology , Child, Preschool , Cluster Analysis , Discriminant Analysis , Female , Humans , Infant , Male , Parents
3.
Span. j. psychol ; 16: e37.1-e37.12, 2013. tab
Article in English | IBECS | ID: ibc-116265

ABSTRACT

This study’s objective is to analyze temperament and parenting variables as they relate to proactive and reactive aggression in children. To be specific, profiles based on these variables were analyzed in children with high levels of proactive versus reactive aggression. The sample was made up of two groups: 482 children (52.3% boys) between 1 and 3 years-old, and 422 children (42.42% boys) 3 to 6 years-old. Statistical analyses of the two age groups included: Pearson´s correlations to explore the relationships among variables, Cluster Analysis to create groups with different levels of aggression, and finally discriminant analysis to determine which variables discriminate between groups. The results show that high levels of frustration/negative affect in the 1–3 year-old group and low effortful control in children 3 to 6 years old are the most relevant variables in differentiating between aggressive and non-aggressive subjects. Nevertheless, differential profiles of subjects with high levels of proactive versus reactive aggression were not observed. The implications of these different types of aggression in terms of development and prevention are discussed (AU)


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Subject(s)
Humans , Male , Female , Child , Child Behavior/physiology , Child Behavior/psychology , Socialization , Temperament/physiology , Aggression/psychology , Family/psychology , Behavioral Symptoms/psychology , Discriminant Analysis , Family Relations , Interpersonal Relations
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