Psychometric characteristics of the Beck depression inventory on a Serbian student sample

Beck Depression Inventory (BDI) is one of the most popular instruments for measuring intensity and symptoms of depression in clinical and general population. The instrument has been translated into many languages and validated in many different cultures, but there is still no published paper on psychometric characteristics and the norms for the BDI in Serbian language. In this paper, we checked psychometric characteristics of the BDI-II on 400 students of the University of Novi Sad, Serbia. Descriptive statistics (M=8.02; SD=7.10), internal consistency (α=.87), and test-retest reliability (.63) are satisfactory and similar to the results of other validation studies. Convergent and divergent validity of the instrument are also supported by moderate to high correlations with the measures of similar phenomena (r=.70 with Depression Symptoms Scale) and by low correlations with unrelated constructs (i.e., r=.19 with Impulsive Sensation Seeking Scale). However, the divergent validity is not supported by a high correlation with a measure of anxiety (r=.70), similar finding is commonly obtained in other validation studies. Our results suggest cut-off scores which are similar to those suggested by Canadian authors (Kappa coefficient=.85). Two-factor structure of the inventory is also in concordance with other authors. Cognitive-Affective factor explains 29.27% of the variance and its structure resembles those reported in other analyses. The second extracted factor explains 7.76% of the variance and is saturated mostly with somatic items; however, a significant contribution of some cognitive items has led us to identify the factor as Exhaustion, specific to our student sample. The two-factor solution is confirmed by Confirmatory Factor Analyses once the item related to sexual difficulties was eliminated. General conclusion is that BDI-II has satisfactory psychometric characteristics and can reliably be used with Serbian student population. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Novović Zdenka [verfasserIn] Mihić Ljiljana [verfasserIn] Tovilović Snežana [verfasserIn] Jovanović Veljko [verfasserIn] Biro Mikloš [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch ; srp

Erschienen:	2011

Schlagwörter:	Beck Depression Inventory psychometric characteristics Serbian students

Übergeordnetes Werk:	In: Psihologija - Drustvo Psihologa Srbije, 2009, 44(2011), 3, Seite 225-243
Übergeordnetes Werk:	volume:44 ; year:2011 ; number:3 ; pages:225-243

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.2298/PSI1103225N

Katalog-ID:	DOAJ044314760

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allfieldsGer	10.2298/PSI1103225N doi (DE-627)DOAJ044314760 (DE-599)DOAJe19f38abfe7d451cb724df1f1e046f13 DE-627 ger DE-627 rakwb eng srp BF1-990 Novović Zdenka verfasserin aut Psychometric characteristics of the Beck depression inventory on a Serbian student sample 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Beck Depression Inventory (BDI) is one of the most popular instruments for measuring intensity and symptoms of depression in clinical and general population. The instrument has been translated into many languages and validated in many different cultures, but there is still no published paper on psychometric characteristics and the norms for the BDI in Serbian language. In this paper, we checked psychometric characteristics of the BDI-II on 400 students of the University of Novi Sad, Serbia. Descriptive statistics (M=8.02; SD=7.10), internal consistency (α=.87), and test-retest reliability (.63) are satisfactory and similar to the results of other validation studies. Convergent and divergent validity of the instrument are also supported by moderate to high correlations with the measures of similar phenomena (r=.70 with Depression Symptoms Scale) and by low correlations with unrelated constructs (i.e., r=.19 with Impulsive Sensation Seeking Scale). However, the divergent validity is not supported by a high correlation with a measure of anxiety (r=.70), similar finding is commonly obtained in other validation studies. Our results suggest cut-off scores which are similar to those suggested by Canadian authors (Kappa coefficient=.85). Two-factor structure of the inventory is also in concordance with other authors. Cognitive-Affective factor explains 29.27% of the variance and its structure resembles those reported in other analyses. The second extracted factor explains 7.76% of the variance and is saturated mostly with somatic items; however, a significant contribution of some cognitive items has led us to identify the factor as Exhaustion, specific to our student sample. The two-factor solution is confirmed by Confirmatory Factor Analyses once the item related to sexual difficulties was eliminated. General conclusion is that BDI-II has satisfactory psychometric characteristics and can reliably be used with Serbian student population. Beck Depression Inventory psychometric characteristics Serbian students Psychology Mihić Ljiljana verfasserin aut Tovilović Snežana verfasserin aut Jovanović Veljko verfasserin aut Biro Mikloš verfasserin aut In Psihologija Drustvo Psihologa Srbije, 2009 44(2011), 3, Seite 225-243 (DE-627)557876907 (DE-600)2405801-4 14519283 nnns volume:44 year:2011 number:3 pages:225-243 https://doi.org/10.2298/PSI1103225N kostenfrei https://doaj.org/article/e19f38abfe7d451cb724df1f1e046f13 kostenfrei http://www.doiserbia.nb.rs/img/doi/0048-5705/2011/0048-57051103225N.pdf kostenfrei https://doaj.org/toc/0048-5705 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2086 GBV_ILN_2863 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 44 2011 3 225-243
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title_sort	psychometric characteristics of the beck depression inventory on a serbian student sample
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title_auth	Psychometric characteristics of the Beck depression inventory on a Serbian student sample
abstract	Beck Depression Inventory (BDI) is one of the most popular instruments for measuring intensity and symptoms of depression in clinical and general population. The instrument has been translated into many languages and validated in many different cultures, but there is still no published paper on psychometric characteristics and the norms for the BDI in Serbian language. In this paper, we checked psychometric characteristics of the BDI-II on 400 students of the University of Novi Sad, Serbia. Descriptive statistics (M=8.02; SD=7.10), internal consistency (α=.87), and test-retest reliability (.63) are satisfactory and similar to the results of other validation studies. Convergent and divergent validity of the instrument are also supported by moderate to high correlations with the measures of similar phenomena (r=.70 with Depression Symptoms Scale) and by low correlations with unrelated constructs (i.e., r=.19 with Impulsive Sensation Seeking Scale). However, the divergent validity is not supported by a high correlation with a measure of anxiety (r=.70), similar finding is commonly obtained in other validation studies. Our results suggest cut-off scores which are similar to those suggested by Canadian authors (Kappa coefficient=.85). Two-factor structure of the inventory is also in concordance with other authors. Cognitive-Affective factor explains 29.27% of the variance and its structure resembles those reported in other analyses. The second extracted factor explains 7.76% of the variance and is saturated mostly with somatic items; however, a significant contribution of some cognitive items has led us to identify the factor as Exhaustion, specific to our student sample. The two-factor solution is confirmed by Confirmatory Factor Analyses once the item related to sexual difficulties was eliminated. General conclusion is that BDI-II has satisfactory psychometric characteristics and can reliably be used with Serbian student population.
abstractGer	Beck Depression Inventory (BDI) is one of the most popular instruments for measuring intensity and symptoms of depression in clinical and general population. The instrument has been translated into many languages and validated in many different cultures, but there is still no published paper on psychometric characteristics and the norms for the BDI in Serbian language. In this paper, we checked psychometric characteristics of the BDI-II on 400 students of the University of Novi Sad, Serbia. Descriptive statistics (M=8.02; SD=7.10), internal consistency (α=.87), and test-retest reliability (.63) are satisfactory and similar to the results of other validation studies. Convergent and divergent validity of the instrument are also supported by moderate to high correlations with the measures of similar phenomena (r=.70 with Depression Symptoms Scale) and by low correlations with unrelated constructs (i.e., r=.19 with Impulsive Sensation Seeking Scale). However, the divergent validity is not supported by a high correlation with a measure of anxiety (r=.70), similar finding is commonly obtained in other validation studies. Our results suggest cut-off scores which are similar to those suggested by Canadian authors (Kappa coefficient=.85). Two-factor structure of the inventory is also in concordance with other authors. Cognitive-Affective factor explains 29.27% of the variance and its structure resembles those reported in other analyses. The second extracted factor explains 7.76% of the variance and is saturated mostly with somatic items; however, a significant contribution of some cognitive items has led us to identify the factor as Exhaustion, specific to our student sample. The two-factor solution is confirmed by Confirmatory Factor Analyses once the item related to sexual difficulties was eliminated. General conclusion is that BDI-II has satisfactory psychometric characteristics and can reliably be used with Serbian student population.
abstract_unstemmed	Beck Depression Inventory (BDI) is one of the most popular instruments for measuring intensity and symptoms of depression in clinical and general population. The instrument has been translated into many languages and validated in many different cultures, but there is still no published paper on psychometric characteristics and the norms for the BDI in Serbian language. In this paper, we checked psychometric characteristics of the BDI-II on 400 students of the University of Novi Sad, Serbia. Descriptive statistics (M=8.02; SD=7.10), internal consistency (α=.87), and test-retest reliability (.63) are satisfactory and similar to the results of other validation studies. Convergent and divergent validity of the instrument are also supported by moderate to high correlations with the measures of similar phenomena (r=.70 with Depression Symptoms Scale) and by low correlations with unrelated constructs (i.e., r=.19 with Impulsive Sensation Seeking Scale). However, the divergent validity is not supported by a high correlation with a measure of anxiety (r=.70), similar finding is commonly obtained in other validation studies. Our results suggest cut-off scores which are similar to those suggested by Canadian authors (Kappa coefficient=.85). Two-factor structure of the inventory is also in concordance with other authors. Cognitive-Affective factor explains 29.27% of the variance and its structure resembles those reported in other analyses. The second extracted factor explains 7.76% of the variance and is saturated mostly with somatic items; however, a significant contribution of some cognitive items has led us to identify the factor as Exhaustion, specific to our student sample. The two-factor solution is confirmed by Confirmatory Factor Analyses once the item related to sexual difficulties was eliminated. General conclusion is that BDI-II has satisfactory psychometric characteristics and can reliably be used with Serbian student population.
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title_short	Psychometric characteristics of the Beck depression inventory on a Serbian student sample
url	https://doi.org/10.2298/PSI1103225N https://doaj.org/article/e19f38abfe7d451cb724df1f1e046f13 http://www.doiserbia.nb.rs/img/doi/0048-5705/2011/0048-57051103225N.pdf https://doaj.org/toc/0048-5705
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author2	Mihić Ljiljana Tovilović Snežana Jovanović Veljko Biro Mikloš
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