The Inventory of Depressive Symptomatology (IDS): psychometric properties

1996 ◽  
Vol 26 (3) ◽  
pp. 477-486 ◽  
Author(s):  
A. J. Rush ◽  
C. M. Gullion ◽  
M. R. Basco ◽  
R. B. Jarrett ◽  
M. H. Trivedi
Keyword(s):  
Psychometric Properties ◽  
Symptom Severity ◽  
Discriminant Validity ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Total Sample ◽  
Self Report ◽  
Three Dimensions ◽  
Open Label ◽  
Similar Item

SynopsisThe psychometric properties of the 28- and 30-item versions of the Inventory of Depressive Symptomatology, Clinician-Rated (IDS-C) and Self-Report (IDS-SR) are reported in a total of 434 (28-item) and 337 (30-item) adult out-patients with current major depressive disorder and 118 adult euthymic subjects (15 remitted depressed and 103 normal controls). Cronbach's α ranged from 0·92 to 0·94 for the total sample and from 0·76 to 0·82 for those with current depression.Item total correlations, as well as several tests of concurrent and discriminant validity are reported. Factor analysis revealed three dimensions (cognitive/mood, anxiety/arousal and vegetative) for each scale. Analysis of sensitivity to change in symptom severity in an open-label trial of fluoxetine (N = 58) showed that the IDS-C and IDS-SR were highly related to the 17-item Hamilton Rating Scale for Depression. Given the more complete item coverage, satisfactory psychometric properties, and high correlations with the above standard ratings, the 30-item IDS-C and IDS-SR can be used to evaluate depressive symptom severity. The availability of similar item content for clinician-rated and self-reported versions allows more direct evaluations of these two perspectives.

The Inventory of Depressive Symptomatology, Clinician Rating (IDS-C) and Self-Report (IDS-SR), and the Quick Inventory of Depressive Symptomatology, Clinician Rating (QIDS-C) and Self-Report (QIDS-SR) in public sector patients with mood disorders: a psychometric evaluation

2004 ◽  
Vol 34 (1) ◽  
pp. 73-82 ◽  
Author(s):  
M. H. TRIVEDI ◽  
A. J. RUSH ◽  
H. M. IBRAHIM ◽  
T. J. CARMODY ◽  
M. M. BIGGS ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Symptom Severity ◽  
Concurrent Validity ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Summary Score ◽  
Self Report ◽  
Energy Concentration ◽  
Clinician Rating ◽  
Highly Correlated

Background. The present study provides additional data on the psychometric properties of the 30-item Inventory of Depressive Symptomatology (IDS) and of the recently developed Quick Inventory of Depressive Symptomatology (QIDS), a brief 16-item symptom severity rating scale that was derived from the longer form. Both the IDS and QIDS are available in matched clinician-rated (IDS-C30; QIDS-C16) and self-report (IDS-SR30; QIDS-SR16) formats.Method. The patient samples included 544 out-patients with major depressive disorder (MDD) and 402 out-patients with bipolar disorder (BD) drawn from 19 regionally and ethnicically diverse clinics as part of the Texas Medication Algorithm Project (TMAP). Psychometric analyses including sensitivity to change with treatment were conducted.Results. Internal consistencies (Cronbach's alpha) ranged from 0·81 to 0·94 for all four scales (QIDS-C16, QIDS-SR16, IDS-C30 and IDS-SR30) in both MDD and BD patients. Sad mood, involvement, energy, concentration and self-outlook had the highest item-total correlations among patients with MDD and BD across all four scales. QIDS-SR16 and IDS-SR30 total scores were highly correlated among patients with MDD at exit (c=0·83). QIDS-C16 and IDS-C30 total scores were also highly correlated among patients with MDD (c=0·82) and patients with BD (c=0·81). The IDS-SR30, IDS-C30, QIDS-SR16, and QIDS-C16 were equivalently sensitive to symptom change, indicating high concurrent validity for all four scales. High concurrent validity was also documented based on the SF-12 Mental Health Summary score for the population divided in quintiles based on their IDS or QIDS score.Conclusion. The QIDS-SR16 and QIDS-C16, as well as the longer 30-item versions, have highly acceptable psychometric properties and are treatment sensitive measures of symptom severity in depression.

scholarly journals SHAPS-C: The Snaith-Hamilton Pleasure Scale modified for clinician administration

2014 ◽  
Author(s):  
Rezvan Ameil ◽  
David A Luckenbaugh ◽  
Neda F Gould ◽  
M. Kathleen Holmes ◽  
Níall Lally ◽  
...  
Keyword(s):  
Discriminant Validity ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Self Report ◽  
Validity And Reliability ◽  
Convergent And Discriminant Validity ◽  
Hedonic Capacity ◽  
Item Scores ◽  
User Friendly ◽  
Clinician Assessment

Anhedonia, a diminished or lack of ability to experience and anticipate pleasure represents a core psychiatric symptom in depression. Current clinician assessment of anhedonia is generally limited to one or two all-purpose questions and most well-known psychometric scales of anhedonia are relatively long, self-administered, typically not state sensitive, and are unsuitable for use in clinical settings. A user-friendly tool for a more in-depth clinician assessment of hedonic capacity is needed. The present study assessed the validity and reliability of a clinician administered version of the Snaith-Hamilton Pleasure Scale, the SHAPS-C, in 34 depressed subjects. We compared total and specific item scores on the SHAPS-C, SHAPS (self-report version), Montgomery-Åsberg Depression Rating Scale (MADRS), and the Inventory of Depressive Symptomatology-Self Rating version (IDS-SR). We also examined construct, content, concurrent, convergent, and discriminant validity, internal consistency, and split-half reliability of the SHAPS-C. The SHAPS-C was found to be valid and reliable. The SHAPS and the SHAPS-C were positively correlated with one another, with levels of depression severity, as measured by the MADRS, and the IDS-SR total scores, and with specific items of the MADRS and IDS-SR sensitive to measuring hedonic capacity. Our investigation indicates that the SHAPS-C is a user friendly, reliable, and valid tool for clinician assessment of hedonic capacity in depressed bipolar and unipolar patients.

scholarly journals SHAPS-C: The Snaith-Hamilton Pleasure Scale modified for clinician administration

2014 ◽  
Author(s):  
Rezvan Ameil ◽  
David A Luckenbaugh ◽  
Neda F Gould ◽  
M. Kathleen Holmes ◽  
Níall Lally ◽  
...  
Keyword(s):  
Discriminant Validity ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Self Report ◽  
Validity And Reliability ◽  
Convergent And Discriminant Validity ◽  
Hedonic Capacity ◽  
Item Scores ◽  
User Friendly ◽  
Clinician Assessment

Anhedonia, a diminished or lack of ability to experience and anticipate pleasure represents a core psychiatric symptom in depression. Current clinician assessment of anhedonia is generally limited to one or two all-purpose questions and most well-known psychometric scales of anhedonia are relatively long, self-administered, typically not state sensitive, and are unsuitable for use in clinical settings. A user-friendly tool for a more in-depth clinician assessment of hedonic capacity is needed. The present study assessed the validity and reliability of a clinician administered version of the Snaith-Hamilton Pleasure Scale, the SHAPS-C, in 34 depressed subjects. We compared total and specific item scores on the SHAPS-C, SHAPS (self-report version), Montgomery-Åsberg Depression Rating Scale (MADRS), and the Inventory of Depressive Symptomatology-Self Rating version (IDS-SR). We also examined construct, content, concurrent, convergent, and discriminant validity, internal consistency, and split-half reliability of the SHAPS-C. The SHAPS-C was found to be valid and reliable. The SHAPS and the SHAPS-C were positively correlated with one another, with levels of depression severity, as measured by the MADRS, and the IDS-SR total scores, and with specific items of the MADRS and IDS-SR sensitive to measuring hedonic capacity. Our investigation indicates that the SHAPS-C is a user friendly, reliable, and valid tool for clinician assessment of hedonic capacity in depressed bipolar and unipolar patients.

Independent validation of the Dimensional Yale-Brown Obsessive-Compulsive Scale (DY-BOCS)

2011 ◽  
Vol 27 (8) ◽  
pp. 598-604 ◽  
Author(s):  
A. Pertusa ◽  
de la Cruz L. Fernández ◽  
P. Alonso ◽  
J.M. Menchón ◽  
D. Mataix-Cols
Keyword(s):  
Psychometric Properties ◽  
Validation Study ◽  
Symptom Severity ◽  
Discriminant Validity ◽  
Self Report ◽  
Obsessive Compulsive ◽  
Specific Symptom ◽  
Symptom Dimensions ◽  
Compulsive Disorder ◽  
Convergent And Discriminant Validity

AbstractIntroductionObsessive-compulsive disorder (OCD) is a clinically heterogeneous condition characterized by a few consistent, temporally stable symptom dimensions. The Dimensional Yale-Brown Obsessive-Compulsive Scale (DY-BOCS) is a recently developed instrument that allows patient and clinician ratings of dimension-specific symptom severity, as well as estimates of global symptom severity in patients with OCD.MethodsWe examined the psychometric properties of the DY-BOCS in a sample of 128 European adult patients with OCD.ResultsThe results of the psychometric analyses were overall excellent. The internal consistency across the domains of time, distress and interference for each dimension was high. The subscales of the DY-BOCS were largely independent from one another. The convergent and discriminant validity of the DY-BOCS subscales were adequate. The Global Severity and Interference scales were largely intercorrelated, suggesting that they may be redundant. The level of agreement between self-report and expert ratings was adequate although somewhat lower than in the original validation study.ConclusionThe results of the present study confirm the excellent psychometric properties of the DY-BOCS reported in the original validation study.

scholarly journals Dyadic discord at baseline is associated with lack of remission in the acute treatment of chronic depression

2009 ◽  
Vol 40 (3) ◽  
pp. 415-424 ◽  
Author(s):  
W. H. Denton ◽  
T. J. Carmody ◽  
A. J. Rush ◽  
M. E. Thase ◽  
M. H. Trivedi ◽  
...  
Keyword(s):  
Acute Treatment ◽  
Couple Therapy ◽  
Rating Scale ◽  
Depressive Symptomatology ◽  
Total Sample ◽  
Chronic Depression ◽  
Self Report ◽  
Categorical Variables ◽  
Remission Rates ◽  
Analysis System

BackgroundDyadic discord, while common in depression, has not been specifically evaluated as an outcome predictor in chronic major depressive disorder. This study investigated pretreatment dyadic discord as a predictor of non-remission and its relationship to depressive symptom change during acute treatment for chronic depression.MethodOut-patients with chronic depression were randomized to 12 weeks of treatment with nefazodone, the Cognitive Behavioral Analysis System of Psychotherapy or their combination. Measures included the Marital Adjustment Scale (MAS) and the Inventory of Depressive Symptomatology – Self Report (IDS-SR30). Of 681 original patients, 316 were partnered and 171 of these completed a baseline and exit MAS, and at least one post-baseline IDS-SR30. MAS scores were analysed as continuous and categorical variables (‘dyadic discord’ v. ‘no dyadic discord’ defined as an MAS score >2.36. Remission was defined as an IDS-SR30 of ⩽14 at exit (equivalent to a 17-item Hamilton Rating Scale for Depression of ⩽7).ResultsPatients with dyadic discord at baseline had lower remission rates (34.1%) than those without dyadic discord (61.2%) (all three treatment groups) (χ2=12.6, df=1, p=0.0004). MAS scores improved significantly with each of the treatments, although the change was reduced by controlling for improvement in depression. Depression remission at exit was associated with less dyadic discord at exit than non-remission for all three groups [for total sample, 1.8 v. 2.4, t(169)=7.3, p<0.0001].ConclusionsDyadic discord in chronically depressed patients is predictive of a lower likelihood of remission of depression. Couple therapy for those with dyadic discord may increase remission rates.

scholarly journals Measuring depression: comparison and integration of three scales in the GENDEP study

2007 ◽  
Vol 38 (2) ◽  
pp. 289-300 ◽  
Author(s):  
R. Uher ◽  
A. Farmer ◽  
W. Maier ◽  
M. Rietschel ◽  
J. Hauser ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Rating Scales ◽  
Rating Scale ◽  
External Validation ◽  
Self Report ◽  
Three Dimensions ◽  
Factor Scores ◽  
Depression Severity ◽  
Pharmacogenetic Study ◽  
Study Item

BackgroundA number of scales are used to estimate the severity of depression. However, differences between self-report and clinician rating, multi-dimensionality and different weighting of individual symptoms in summed scores may affect the validity of measurement. In this study we examined and integrated the psychometric properties of three commonly used rating scales.MethodThe 17-item Hamilton Depression Rating Scale (HAMD-17), the Montgomery–Asberg Depression Rating Scale (MADRS) and the Beck Depression Inventory (BDI) were administered to 660 adult patients with unipolar depression in a multi-centre pharmacogenetic study. Item response theory (IRT) and factor analysis were used to evaluate their psychometric properties and estimate true depression severity, as well as to group items and derive factor scores.ResultsThe MADRS and the BDI provide internally consistent but mutually distinct estimates of depression severity. The HAMD-17 is not internally consistent and contains several items less suitable for out-patients. Factor analyses indicated a dominant depression factor. A model comprising three dimensions, namely ‘observed mood and anxiety’, ‘cognitive’ and ‘neurovegetative’, provided a more detailed description of depression severity.ConclusionsThe MADRS and the BDI can be recommended as complementary measures of depression severity. The three factor scores are proposed for external validation.

Using the Rating Scale Model to Examine the Psychometric Properties of the Self-Efficacy Scale for Driver Competence

2011 ◽  
Vol 27 (3) ◽  
pp. 164-170 ◽  
Author(s):  
Anna Sundström
Keyword(s):  
Psychometric Properties ◽  
Self Efficacy ◽  
Rating Scale ◽  
Measurement Precision ◽  
The Self ◽  
Test Theory ◽  
Self Report ◽  
Scale Model ◽  
Validity And Reliability ◽  
Two Samples

This study evaluated the psychometric properties of a self-report scale for assessing perceived driver competence, labeled the Self-Efficacy Scale for Driver Competence (SSDC), using item response theory analyses. Two samples of Swedish driving-license examinees (n = 795; n = 714) completed two versions of the SSDC that were parallel in content. Prior work, using classical test theory analyses, has provided support for the validity and reliability of scores from the SSDC. This study investigated the measurement precision, item hierarchy, and differential functioning for males and females of the items in the SSDC as well as how the rating scale functions. The results confirmed the previous findings; that the SSDC demonstrates sound psychometric properties. In addition, the findings showed that measurement precision could be increased by adding items that tap higher self-efficacy levels. Moreover, the rating scale can be improved by reducing the number of categories or by providing each category with a label.

scholarly journals Cross-cultural adaptation and psychometric properties of the Kessler Distress Scale (K10): an application of the rating scale model

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Evandro Morais Peixoto ◽  
Daniela Sacramento Zanini ◽  
Josemberg Moura de Andrade
Keyword(s):  
Psychological Distress ◽  
Psychometric Properties ◽  
Rating Scale ◽  
Self Report ◽  
Clinical Population ◽  
Scale Model ◽  
General Factor ◽  
Measurement Models ◽  
Distress Scale ◽  
Rating Scale Model

Abstract Background The Kessler Distress Scale (K10) is a self-report scale for the assessment of non-specific psychological distress in the general and clinical population. Because of its ease of application and good psychometric properties, the K10 has been adapted to several cultures. The present study seeks to adapt the K10 to Brazilian Portuguese and estimate its validity evidence and reliability. Methods A total of 1914 individuals from the general population participated in the study (age = 34.88, SD = 13.61, 77.7% female). The adjustment indices were compared among three different measurement models proposed for the K10 through confirmatory factor analysis (CFA). The items’ properties were analyzed by Andrich’s Rating Scale Model (RSM). Furthermore, evidence based on relations to other variables (depression, stress, anxiety, positive and negative affects, and satisfaction with life) was estimated. Results CFA indicated the adequacy of the bifactor model (CFI= 0.985; TLI= 0.973; SMR= 0.019; RMSEA= 0.050), composed of two specific factors (depression and anxiety) and one general factor (psychological distress), corresponding to the theoretical hypothesis. Additionally, it was observed multiple-group invariance by gender and age range. The RSM provided an understanding of the organization of the continuum represented by the psychological distress construct (items difficulty), which varied from −0.89 to 1.00; good adjustment indexes; infit between 0.67 and 1.32; outfit between 0.68 and 1.34; and desirable reliability, α= 0.87. Lastly, theoretically coherent associations with the external variables were observed. Conclusions It is concluded that the Brazilian version of the K10 is a suitable measure of psychological distress for the Brazilian population.

scholarly journals Development and Validation of the Adolescent Insomnia Questionnaire

2019 ◽  
Author(s):  
Maggie H Bromberg ◽  
Rocio de la Vega ◽  
Emily F Law ◽  
Chuan Zhou ◽  
Tonya M Palermo
Keyword(s):  
Psychometric Properties ◽  
Convergent Validity ◽  
Discriminant Validity ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Parent Report ◽  
Self Report ◽  
Cutoff Score ◽  
Screening Measure ◽  
Brief Screening

Abstract Objective Insomnia is a highly prevalent sleep disorder that is particularly common among adolescents with health conditions. We aimed to develop and validate a brief screening measure of insomnia in adolescents that can be used across clinical and community samples. We hypothesized that we would identify evidence supporting reliability, convergent/discriminant validity, and that we would determine preliminary clinical cutoff scores. Methods A team of experts in behavioral sleep medicine developed a 13-item brief screening measure of insomnia in adolescents (Adolescent Insomnia Questionnaire [AIQ]). We evaluated the psychometric properties of the AIQ in a sample of 315 youth (11–18 years old, Mean = 14.90, SD = 2.02; 64% female) who had chronic pain (n = 37), headache (n = 170), insomnia diagnosed by a sleep specialist (n = 22), or were otherwise healthy (n = 86). Results Using Exploratory and Confirmatory Factor Analysis, we identified three subscales consistent with major diagnostic criteria of insomnia. As expected, the measure showed strong reliability through high internal consistency (α =.91). We also found strong convergent validity through expected positive relationships between the AIQ and self-report measures of sleep disturbance, and divergent validity via weak relationships with parent-report of snoring. Results of receiver operating characteristic (ROC) identified a clinical cutoff score that may assist in clinical decision making. Conclusions We found that the AIQ has sound psychometric properties in a large heterogeneous sample of treatment-seeking youth and youth from the community. The AIQ can quickly screen adolescent insomnia and could address an important clinical need in identifying youth in need of insomnia treatment in pediatric practice settings.

scholarly journals Investigation of the Statistical Anxiety Rating Scale Psychometric Properties with a Sample of Greek Students

2021 ◽  
Vol 10 (2) ◽  
pp. 116
Author(s):  
Konstantinos Lavidas ◽  
Dionysios Manesis ◽  
Vasilios Gialamas
Keyword(s):  
Psychometric Properties ◽  
Discriminant Validity ◽  
Rating Scale ◽  
Factor Model ◽  
Tertiary Education ◽  
Statistics Anxiety ◽  
Education Students ◽  
Confirmatory Factor Analyses ◽  
Convergent And Discriminant Validity ◽  
Confirmatory Factor

The purpose of this study was to adapt the Statistics Anxiety Rating Scale (STARS) for a Greek student population. The STARS was administered to 890 Tertiary Education students in two Greek universities. It was performed a cross-validation study to examine the factorial structure and the psychometric properties with a series of confirmatory factor analyses. Results revealed a correlated six first-order factor model which provided the best fit to the data compared to a six-factor model with one superordinate factor. All six factors of the Greek version of the STARS presented convergent and discriminant validity and were internally consistent. Implications and limitations are discussed.

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