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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Factorial Structure and Preliminary Validation of the Schema Mode Inventory for Eating Disorders (SMI-ED)
|
|---|---|
| Published in |
Frontiers in Psychology, April 2018
|
| DOI | 10.3389/fpsyg.2018.00600 |
| Pubmed ID | |
| Authors |
Susan G. Simpson, Giada Pietrabissa, Alessandro Rossi, Tahnee Seychell, Gian Mauro Manzoni, Calum Munro, Julian B. Nesci, Gianluca Castelnuovo |
| Abstract |
Objective: The aim of this study was to examine the psychometric properties and factorial structure of the Schema Mode Inventory for Eating Disorders (SMI-ED) in a disordered eating population. Method: 573 participants with disordered eating patterns as measured by the Eating Disorder Examination Questionnaire (EDE-Q) completed the 190-item adapted version of the Schema Mode Inventory (SMI). The new SMI-ED was developed by clinicians/researchers specializing in the treatment of eating disorders, through combining items from the original SMI with a set of additional questions specifically representative of the eating disorder population. Psychometric testing included Confirmatory Factor Analysis (CFA) and internal consistency (Cronbach's α). Multivariate Analyses of Covariance (MANCOVA) was also run to test statistical differences between the EDE-Q subscales on the SMI-ED modes, while controlling for possible confounding variables. Results: Factorial analysis confirmed an acceptable 16-related-factors solution for the SMI-ED, thus providing preliminary evidence for the adequate validity of the new measure based on internal structure. Concurrent validity was also established through moderate to high correlations on the modes most relevant to eating disorders with EDE-Q subscales. This study represents the first step in creating a psychometrically sound instrument for measuring schema modes in eating disorders, and provides greater insight into the relevant schema modes within this population. Conclusion: This research represents an important preliminary step toward understanding and labeling the schema mode model for this clinical group. Findings from the psychometric evaluation of SMI-ED suggest that this is a useful tool which may further assist in the measurement and conceptualization of schema modes in this population. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 14% |
| Student > Doctoral Student | 5 | 10% |
| Student > Bachelor | 5 | 10% |
| Unspecified | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 7 | 14% |
| Unknown | 19 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 19 | 37% |
| Unspecified | 4 | 8% |
| Social Sciences | 2 | 4% |
| Neuroscience | 2 | 4% |
| Medicine and Dentistry | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 22 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 June 2018.
All research outputs
#14,885,516
of 26,311,549 outputs
Outputs from Frontiers in Psychology
#13,273
of 35,154 outputs
Outputs of similar age
#168,132
of 344,036 outputs
Outputs of similar age from Frontiers in Psychology
#325
of 612 outputs
Altmetric has tracked 26,311,549 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 35,154 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one has gotten more attention than average, scoring higher than 61% 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 344,036 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 612 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.