1,720,960 research outputs found
Assessing Mental Disorder Causal Beliefs. A Latent Dimension Identification.
No full textA Many-Facet Rasch analysis was carried out with the intent of identifying a latent trait dimension characterized by mental disorders causal beliefs variables. The present research consists of two studies. In Study 1, the responses of 443 Italian university students to a 40-item scale were analyzed by means of Rasch models. In Study 2, the responses of two new groups of subjects, of 300 and 135 people respectively, were examined to further validate the mental disorders causal beliefs dimension obtained in Study 1. Specific bias/interactions between the MDCB dimension and other variables, such as gender and university faculties, were detected. Correlation analyses between the MDCB dimension and attribution theory and social desirability variables were also carried out. The results showed that a 30-item Mental Disorder Causal Beliefs (MDCB) latent dimension exists, characterized by contents representative of biological-genetic and psycho-social causes. Males and females did not differ on their causal beliefs, whereas Psychology students presented more psycho-social etiology beliefs. The MDCB dimension was correlated neither to a general locus of control scale nor to the social desirability measure, whereas it was significantly correlated to the psychotherapeutic attribution measure. The results evidenced a well devised measure which can be potentially useful in the research and clinical practice for the assessment of people’s etiology beliefs about mental illness, focusing on the development of personalized interventions to reduce or modify eventual negative attitudes and misconceptions
Exploratory Structure Equation Modeling of the Ucla Loneliness Scale: A Contribution to the Italian Adaptation
No full textThe present study aimed at exploring the dimensionality of the Italian version of the UCLA Loneliness Scale-version 3 (UCLA LS3), in relation to self-esteem (Rosenberg Self-Esteem Scale — RSES), social anxiety (Social Interaction Anxiety Scale — SIAS), and adult attachment (Attachment Style Questionnaire — ASQ), in 350 Italian young adults. An innovative Exploratory Structure Equation Modeling approach (ESEM — Asparouhov & Muthén, 2009) was used. Thanks to the combination of explorative (EFA) and confirmative (CFA) factor analysis methods, ESEM allowed to simultaneously estimate an EFA measurement model with rotations and a traditional SEM model, to investigate UCLA LS3 latent structure and convergent validity. A three-factor ESEM model presented a satisfactory fit to the data. The Italian UCLA LS3 scale resulted to be composed by the interrelated dimensions of Isolation, Relational Connectedness and “Trait” Loneliness. ESEM structural part showed ASQ subscales and SIAS to systematically predict loneliness dimensions, whereas the RSES affected only the Isolation factor.
Beliefs about the patient’s role in the psychotherapeutic relationship: A latent trait perspective.
No full textThe present research aimed to define a latent measurement dimension underlying personal beliefs about the psychotherapeutic relationship. In Study 1, 927 university students completed a newly devised 40-item questionnaire. A latent trait modelling approach was used, by applying the Many-Facet Rasch Measurement model (MFRM). In Study 2, 237 participants, presenting different levels of mental health expertise, completed the defined instrument and the Mental Disorders Causal Beliefs (MDCB) scale. A second MFRM analysis was performed along with a bias/interaction analysis. The main results evidenced a 27-item measure denominated Mental Disorders Therapy Relationship (MDTR); several MDTR item contents differed in relation to the professional expertise level and the MDCB etiological beliefs, emphasizing either the active, balanced, or passive patient’s role
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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