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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Measuring Cognitive Errors Using the Cognitive Distortions Scale (CDS): Psychometric Properties in Clinical and Non-Clinical Samples
|
|---|---|
| Published in |
PLOS ONE, August 2014
|
| DOI | 10.1371/journal.pone.0105956 |
| Pubmed ID | |
| Authors |
Kadir Özdel, Ibrahim Taymur, Seher Olga Guriz, Riza Gökcer Tulaci, Erkan Kuru, Mehmet Hakan Turkcapar |
| Abstract |
The Cognitive Distortions Scale was developed to assess thinking errors using case examples in two domains: interpersonal and personal achievement. Although its validity and reliability has been previously demonstrated in non-clinical samples, its psychometric properties and scoring has not yet been evaluated. The aim of the current study was to evaluate the psychometric properties of the Cognitive Distortions Scale in two Turkish samples and to examine the usefulness of the categorical scoring system. A total of 325 individuals (Sample 1 and Sample 2) were enrolled in this study to assess those psychometric properties. Our Sample 1 consisted of 225 individuals working as interns at the Diskapi Yildirim Beyazit Teaching and Research Hospital and Sample 2 consisted of 100 patients diagnosed with depression presenting to the outpatient unit of the same Hospital. Construct validity was assessed using the Beck Depression Inventory, the State Trait Anxiety Inventory, the Dysfunctional Attitude Scale, and the Automatic Thought Questionnaire. Factor analyses supported a one-factor model in these clinical and non-clinical samples. Cronbach's α values were excellent in both the non-clinical and clinical samples (0.933 and 0.918 respectively). Cognitive Distortions Scale scores showed significant correlation with relevant clinical measures. Study Cognitive Distortions Scale scores were stable over a time span of two weeks. This study showed that the Cognitive Distortions Scale is a valid and reliable measure in clinical and non-clinical populations. In addition, it shows that the categorical exists/does not exist scoring system is relevant and could be used in clinical settings. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Turkey | 1 | 1% |
| Unknown | 93 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 18% |
| Student > Master | 16 | 17% |
| Researcher | 10 | 11% |
| Student > Bachelor | 9 | 9% |
| Student > Doctoral Student | 6 | 6% |
| Other | 11 | 12% |
| Unknown | 26 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 41 | 43% |
| Medicine and Dentistry | 10 | 11% |
| Social Sciences | 5 | 5% |
| Neuroscience | 4 | 4% |
| Business, Management and Accounting | 3 | 3% |
| Other | 6 | 6% |
| Unknown | 26 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 19 August 2018.
All research outputs
#1,616,919
of 22,761,738 outputs
Outputs from PLOS ONE
#20,944
of 194,198 outputs
Outputs of similar age
#17,960
of 236,210 outputs
Outputs of similar age from PLOS ONE
#529
of 4,961 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 194,198 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 236,210 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 4,961 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.