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| Title |
Psychometric Properties of the Italian Version of the Young Schema Questionnaire L-3: Preliminary Results
|
|---|---|
| Published in |
Frontiers in Psychology, March 2018
|
| DOI | 10.3389/fpsyg.2018.00312 |
| Pubmed ID | |
| Authors |
Aristide Saggino, Michela Balsamo, Leonardo Carlucci, Veronica Cavalletti, Maria R. Sergi, Giorgio da Fermo, Davide Dèttore, Nicola Marsigli, Irene Petruccelli, Susanna Pizzo, Marco Tommasi |
| Abstract |
Schema Therapy (ST) is a well-known approach for the treatment of personality disorders. This therapy integrates different theories and techniques into an original and systematic treatment model. The Young Schema Questionnaire L-3 (YSQ-L3) is a self-report instrument, based on the ST model, designed to assess 18 Early Maladaptive Schemas (EMSs). During the last decade, it has been translated and validated in different countries and languages. This study aims to establish the psychometric properties of the Italian Version of the YSQ-L3. We enrolled two groups: a clinical (n = 148) and a non-clinical one (n = 918). We investigated the factor structure, reliability and convergent validity with anxiety and depression between clinical and non-clinical groups. The results highlighted a few relevant findings. Cronbach's alpha showed significant values for all the schemas. All of the factor models do not seem highly adequate, even if the hierarchical model has proven to be the most significant one. Furthermore, the questionnaire confirms the ability to discriminate between clinical and non-clinical groups and could represent a useful tool in the clinical practice. Limitations and future directions are discussed. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 14% |
| Researcher | 4 | 11% |
| Professor | 4 | 11% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 7 | 19% |
| Unknown | 12 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 21 | 58% |
| Nursing and Health Professions | 2 | 6% |
| Neuroscience | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Unknown | 11 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 April 2018.
All research outputs
#17,932,482
of 23,025,074 outputs
Outputs from Frontiers in Psychology
#20,767
of 30,283 outputs
Outputs of similar age
#239,761
of 330,017 outputs
Outputs of similar age from Frontiers in Psychology
#478
of 565 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 30,283 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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