Assessing the Reliability of Beck Depression Inventory Scores: Reliability Generalization across Studies

Yin, Ping; Fan, Xitao

doi:10.1177/00131640021970466

Cited by 161 publications

(166 citation statements)

References 122 publications

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“…A reliability generalization analysis showed an average coefficient around 0.65 for the previous version of the BDI. 128 Comparison of the retest coefficients of the BDI-I and BDI-II could only be considered definitive if the time intervals of the studies were similar.…”

Section: Reliabilitymentioning

confidence: 99%

“…The measurement error due to time length as captured by the retest estimate is probably larger than the error due to item heterogeneity and content as captured by cross-sectional internal consistency. 128 On the other hand, Hiroe et al 72 investigated sensitivity to change by anchoring the BDI-II against the Clinical Global Impression-Change (CGI-I) subscale 2 weeks after first consultation of 40 patients with major depression. The instrument was able to distinguish between all grades of depression severity.…”

Section: Continued On Next Pagementioning

confidence: 99%

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Psychometric properties of the Beck Depression Inventory-II: a comprehensive review

Wang

Gorenstein

2013

Rev. Bras. Psiquiatr.

1,146

765

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Objective: To review the psychometric properties of the Beck Depression Inventory-II (BDI-II) as a self-report measure of depression in a variety of settings and populations. Methods: Relevant studies of the BDI-II were retrieved through a search of electronic databases, a hand search, and contact with authors. Retained studies (k = 118) were allocated into three groups: non-clinical, psychiatric/institutionalized, and medical samples. Results: The internal consistency was described as around 0.9 and the retest reliability ranged from 0.73 to 0.96. The correlation between BDI-II and the Beck Depression Inventory (BDI-I) was high and substantial overlap with measures of depression and anxiety was reported. The criterion-based validity showed good sensitivity and specificity for detecting depression in comparison to the adopted gold standard. However, the cutoff score to screen for depression varied according to the type of sample. Factor analysis showed a robust dimension of general depression composed by two constructs: cognitive-affective and somatic-vegetative. Conclusions: The BDI-II is a relevant psychometric instrument, showing high reliability, capacity to discriminate between depressed and non-depressed subjects, and improved concurrent, content, and structural validity. Based on available psychometric evidence, the BDI-II can be viewed as a costeffective questionnaire for measuring the severity of depression, with broad applicability for research and clinical practice worldwide.

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Section: Reliabilitymentioning

confidence: 99%

Section: Continued On Next Pagementioning

confidence: 99%

Psychometric properties of the Beck Depression Inventory-II: a comprehensive review

Wang

Gorenstein

2013

Rev. Bras. Psiquiatr.

1,146

765

View full text Add to dashboard Cite

show abstract

“…The total score ranges from 0 to 63, with higher scores representing greater severity of depressive symptomatology. A meta-analysis of the reliability of the BDI indicated an average Cronbach alpha of 0.84 [36].…”

Section: Beck Depression Inventory 2nd Version (Bdi-ii)mentioning

confidence: 99%

Patients’ perceptions of treatment credibility and their relation to the outcome of group CBT for depression

Söchting¹,

Tsai²,

Ogrodniczuk³

2016

Arch Psych Psych

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“…Reliability coefficients are collected across studies to calculate central tendency and variability. Sample characteristics can be tabulated in an attempt to account for the variability in reliability estimates (e.g., Yin & Fan, 2000;etc.). In addition, the current reliability generalization study utilizes general linear modeling to provide indications of when the use of the PSI is more or less favorable in terms of expected measurement error.…”

Section: Reliability Generalizationmentioning

confidence: 99%

A Reliability Generalization Study of the Political Skill Inventory

Jacobson

Viswesvaran

2017

Sage Open

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Measures of political skill have been shown to be significant predictors of job performance across a variety of occupations and have consistently been related to positive work-related behaviors and outcomes. A reliability generalization study was conducted on the Political Skill Inventory (PSI), currently the most frequently utilized measuring instrument for assessing the construct of political skill, to determine the weighted mean internal consistency reliability estimate of the PSI and its four dimensions across samples while also examining the effect of six potential sources of measurement error that may impact the internal consistency reliability of the PSI and its four dimensions. Across the samples that reported a reliability estimate for the Ferris et al. 18-item PSI measure, the weighted mean reliability coefficient alpha of the PSI was .89 (k = 77, N = 15,987) and that for the six-item measure of the PSI was .81 (k = 11, N = 2,123). Potential sources of measurement error variance that could impact the typical score reliability of the PSI and three of the four PSI subscale dimensions were identified and are discussed.

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Assessing the Reliability of Beck Depression Inventory Scores: Reliability Generalization across Studies

Cited by 161 publications

References 122 publications

Psychometric properties of the Beck Depression Inventory-II: a comprehensive review

Psychometric properties of the Beck Depression Inventory-II: a comprehensive review

Patients’ perceptions of treatment credibility and their relation to the outcome of group CBT for depression

A Reliability Generalization Study of the Political Skill Inventory

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