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Jeannette Rosselló - One of the best experts on this subject based on the ideXlab platform.
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A Study of the Predictive Validity of the Children's Depression Inventory for Major Depression Disorder in Puerto Rican Adolescents.
Hispanic Journal of Behavioral Sciences, 2010Co-Authors: Carmen L. Rivera-medina, Jeannette Rosselló, Guillermo Bernal, Eduardo Cumba-avilésAbstract:This study aims to evaluate the predictive validity of the Children’s Depression Inventory items for major Depression disorder (MDD) in an outpatient clinic sample of Puerto Rican adolescents. The sample consisted of 130 adolescents, 13 to 18 years old. The five most frequent symptoms of the Children’s Depression Inventory that best predict the presence of MDD were “I worry about others’ aches and pains,” “I don’t have any friends,” “I have to push myself to do my schoolwork,” “I have trouble sleeping every night,” and “I do very badly in subjects I used to be good in.” Results demonstrated that the symptoms that best predict MDD in Puerto Rican adolescents are not necessarily the ones commonly described as characteristic of the disorder.
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The Children Depression Inventory (CDI) and the Beck Depression Inventory (BDI): Their validity as screening measures for major Depression in a group of Puerto Rican adolescents
International Journal of Clinical and Health Psychology, 2005Co-Authors: Carmen L. Rivera, Guillermo Bernal, Jeannette RossellóAbstract:This quasi-experimental study evaluates the efficiency of the Children Depression Inventory (CDI) and the Beck Depression Inventory (BDI) in their Spanish versions, as screening measures for Major Depressive Disorder (MDD) with a Puerto Rican clinical sample of adolescents. The sample consisted of 130 adolescents between 13 to 18 years of age. The results obtained show that the best cut-off point for the CDI to identify MDD is 20 with a sensibility index of .69, specificity of .43, a positive predictive value of .64, and negative predictive value of .49. The best cut-off point for the BDI is 12 with a sensibility of .65, specificity of .50, a positive predictive value of .67, and a negative predictive value of .47. In conclusion, the CDI and the BDI are fairly good instruments to be used in the screening for MDD for clinical samples with Puerto Rican adolescents. Specifically for the CDI, the results obtained differ considerably from the cut-off points, sensitivity and specificity scores obtained by Kovacs. Even when using the cut-off points recommended by the author of the instrument, the sensitivity and specificity scores to identify a disorder differ from one population to another; therefore, we cannot assume metric equivalency.
Guillermo Bernal - One of the best experts on this subject based on the ideXlab platform.
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A Study of the Predictive Validity of the Children's Depression Inventory for Major Depression Disorder in Puerto Rican Adolescents.
Hispanic Journal of Behavioral Sciences, 2010Co-Authors: Carmen L. Rivera-medina, Jeannette Rosselló, Guillermo Bernal, Eduardo Cumba-avilésAbstract:This study aims to evaluate the predictive validity of the Children’s Depression Inventory items for major Depression disorder (MDD) in an outpatient clinic sample of Puerto Rican adolescents. The sample consisted of 130 adolescents, 13 to 18 years old. The five most frequent symptoms of the Children’s Depression Inventory that best predict the presence of MDD were “I worry about others’ aches and pains,” “I don’t have any friends,” “I have to push myself to do my schoolwork,” “I have trouble sleeping every night,” and “I do very badly in subjects I used to be good in.” Results demonstrated that the symptoms that best predict MDD in Puerto Rican adolescents are not necessarily the ones commonly described as characteristic of the disorder.
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The Children Depression Inventory (CDI) and the Beck Depression Inventory (BDI): Their validity as screening measures for major Depression in a group of Puerto Rican adolescents
International Journal of Clinical and Health Psychology, 2005Co-Authors: Carmen L. Rivera, Guillermo Bernal, Jeannette RossellóAbstract:This quasi-experimental study evaluates the efficiency of the Children Depression Inventory (CDI) and the Beck Depression Inventory (BDI) in their Spanish versions, as screening measures for Major Depressive Disorder (MDD) with a Puerto Rican clinical sample of adolescents. The sample consisted of 130 adolescents between 13 to 18 years of age. The results obtained show that the best cut-off point for the CDI to identify MDD is 20 with a sensibility index of .69, specificity of .43, a positive predictive value of .64, and negative predictive value of .49. The best cut-off point for the BDI is 12 with a sensibility of .65, specificity of .50, a positive predictive value of .67, and a negative predictive value of .47. In conclusion, the CDI and the BDI are fairly good instruments to be used in the screening for MDD for clinical samples with Puerto Rican adolescents. Specifically for the CDI, the results obtained differ considerably from the cut-off points, sensitivity and specificity scores obtained by Kovacs. Even when using the cut-off points recommended by the author of the instrument, the sensitivity and specificity scores to identify a disorder differ from one population to another; therefore, we cannot assume metric equivalency.
Kaj Sparle Christensen - One of the best experts on this subject based on the ideXlab platform.
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The construct validity of the Major Depression Inventory: A Rasch analysis of a self-rating scale in primary care.
Journal of psychosomatic research, 2017Co-Authors: Marie Germund Nielsen, Eva Ørnbøl, Mogens Vestergaard, Per Bech, Kaj Sparle ChristensenAbstract:Abstract Objective We aimed to assess the measurement properties of the ten-item Major Depression Inventory when used on clinical suspicion in general practice by performing a Rasch analysis. Methods General practitioners asked consecutive persons to respond to the web-based Major Depression Inventory on clinical suspicion of Depression. We included 22 practices and 245 persons. Rasch analysis was performed using RUMM2030 software. The Rasch model fit suggests that all items contribute to a single underlying trait (defined as internal construct validity). Mokken analysis was used to test dimensionality and scalability. Results Our Rasch analysis showed misfit concerning the sleep and appetite items (items 9 and 10). The response categories were disordered for eight items. After modifying the original six-point to a four-point scoring system for all items, we achieved ordered response categories for all ten items. The person separation reliability was acceptable (0.82) for the initial model. Dimensionality testing did not support combining the ten items to create a total score. The scale appeared to be well targeted to this clinical sample. No significant differential item functioning was observed for gender, age, work status and education. The Rasch and Mokken analyses revealed two dimensions, but the Major Depression Inventory showed fit to one scale if items 9 and 10 were excluded. Conclusion Our study indicated scalability problems in the current version of the Major Depression Inventory. The conducted analysis revealed better statistical fit when items 9 and 10 were excluded.
Carmen L. Rivera - One of the best experts on this subject based on the ideXlab platform.
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The Children Depression Inventory (CDI) and the Beck Depression Inventory (BDI): Their validity as screening measures for major Depression in a group of Puerto Rican adolescents
International Journal of Clinical and Health Psychology, 2005Co-Authors: Carmen L. Rivera, Guillermo Bernal, Jeannette RossellóAbstract:This quasi-experimental study evaluates the efficiency of the Children Depression Inventory (CDI) and the Beck Depression Inventory (BDI) in their Spanish versions, as screening measures for Major Depressive Disorder (MDD) with a Puerto Rican clinical sample of adolescents. The sample consisted of 130 adolescents between 13 to 18 years of age. The results obtained show that the best cut-off point for the CDI to identify MDD is 20 with a sensibility index of .69, specificity of .43, a positive predictive value of .64, and negative predictive value of .49. The best cut-off point for the BDI is 12 with a sensibility of .65, specificity of .50, a positive predictive value of .67, and a negative predictive value of .47. In conclusion, the CDI and the BDI are fairly good instruments to be used in the screening for MDD for clinical samples with Puerto Rican adolescents. Specifically for the CDI, the results obtained differ considerably from the cut-off points, sensitivity and specificity scores obtained by Kovacs. Even when using the cut-off points recommended by the author of the instrument, the sensitivity and specificity scores to identify a disorder differ from one population to another; therefore, we cannot assume metric equivalency.
Per Bech - One of the best experts on this subject based on the ideXlab platform.
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The construct validity of the Major Depression Inventory: A Rasch analysis of a self-rating scale in primary care.
Journal of psychosomatic research, 2017Co-Authors: Marie Germund Nielsen, Eva Ørnbøl, Mogens Vestergaard, Per Bech, Kaj Sparle ChristensenAbstract:Abstract Objective We aimed to assess the measurement properties of the ten-item Major Depression Inventory when used on clinical suspicion in general practice by performing a Rasch analysis. Methods General practitioners asked consecutive persons to respond to the web-based Major Depression Inventory on clinical suspicion of Depression. We included 22 practices and 245 persons. Rasch analysis was performed using RUMM2030 software. The Rasch model fit suggests that all items contribute to a single underlying trait (defined as internal construct validity). Mokken analysis was used to test dimensionality and scalability. Results Our Rasch analysis showed misfit concerning the sleep and appetite items (items 9 and 10). The response categories were disordered for eight items. After modifying the original six-point to a four-point scoring system for all items, we achieved ordered response categories for all ten items. The person separation reliability was acceptable (0.82) for the initial model. Dimensionality testing did not support combining the ten items to create a total score. The scale appeared to be well targeted to this clinical sample. No significant differential item functioning was observed for gender, age, work status and education. The Rasch and Mokken analyses revealed two dimensions, but the Major Depression Inventory showed fit to one scale if items 9 and 10 were excluded. Conclusion Our study indicated scalability problems in the current version of the Major Depression Inventory. The conducted analysis revealed better statistical fit when items 9 and 10 were excluded.
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Reliability, validity and psychometric properties of the Greek translation of the Major Depression Inventory
BMC psychiatry, 2003Co-Authors: Kn N. Fountoulakis, Apostolos Iacovides, Soula Kleanthous, Stavros Samolis, Kyriakos Gougoulias, I. Tsiptsios, Gs S. Kaprinis, Per BechAbstract:The Major Depression Inventory (MDI) is a brief self-rating scale for the assessment of Depression. It is reported to be valid because it is based on the universe of symptoms of DSM-IV and ICD-10 Depression. The aim of the current preliminary study was to assess the reliability, validity and psychometric properties of the Greek translation of the MDI.
