The Development, Standardization, and Initial Validation of the Chicago Multiscale Depression Inventory
Current self-report depression scales may overestimate depression symptoms in medical patients by including items measuring symptoms inherent to many medical conditions. They may therefore reflect a patient's medical rather than psychological state. We present the Chicago Multiscale Depression...
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| Veröffentlicht in: | Journal of personality assessment 1998-04, Vol.70 (2), p.386-401 |
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| container_title | Journal of personality assessment |
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| creator | Nyenhuis, David L. Luchetta, Tracy |
| description | Current self-report depression scales may overestimate depression symptoms in medical patients by including items measuring symptoms inherent to many medical conditions. They may therefore reflect a patient's medical rather than psychological state. We present the Chicago Multiscale Depression Inventory (CMDI), a factorially derived self-report depression scale that includes Mood, Evaluative, and Vegetative subscales. The CMDI and its subscales were designed to be used separately or combined; we posit that the nonvegetative CMDI subscales are the most accurate means of examining depression in medical patients. In this study we outline the development, standardization, and initial validation of the CMDI, a multistep process that required a total sample of 1,062 adults. We show the CMDI and each of its subscales to be internally consistent, reliable, and valid. Confirmatory factor analysis supports the CMDI factor structure. Finally, we report standardization scores for each of the CMDI scales, derived from an age-, race- and gender-stratified standardization sample of 420 adults. |
| doi_str_mv | 10.1207/s15327752jpa7002_14 |
| format | Article |
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They may therefore reflect a patient's medical rather than psychological state. We present the Chicago Multiscale Depression Inventory (CMDI), a factorially derived self-report depression scale that includes Mood, Evaluative, and Vegetative subscales. The CMDI and its subscales were designed to be used separately or combined; we posit that the nonvegetative CMDI subscales are the most accurate means of examining depression in medical patients. In this study we outline the development, standardization, and initial validation of the CMDI, a multistep process that required a total sample of 1,062 adults. We show the CMDI and each of its subscales to be internally consistent, reliable, and valid. Confirmatory factor analysis supports the CMDI factor structure. Finally, we report standardization scores for each of the CMDI scales, derived from an age-, race- and gender-stratified standardization sample of 420 adults.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Biological and medical sciences</subject><subject>Depression</subject><subject>Depressive Disorder - diagnosis</subject><subject>Development</subject><subject>Factor Analysis, Statistical</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Measures</subject><subject>Medical sciences</subject><subject>Psychological Tests</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychometrics - methods</subject><subject>Psychometrics. Diagnostic aid systems</subject><subject>Psychopathology. Psychiatry</subject><subject>Reproducibility of Results</subject><subject>Standardization</subject><subject>Techniques and methods</subject><subject>United States</subject><subject>Validity</subject><issn>0022-3891</issn><issn>1532-7752</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqFkU9v1DAQxS0EKkvhEyCkHBCnhvrP2k4uSGgLZaVWHChco1l70rpy4mB7Wy2fHqe79ITgNJo3v_c0miHkNaPvGaf6NDEpuNaS306gKeUdWz4hi1msZ_UpWRSR16Jp2XPyIqVbSiljS35EjlrVaiH0glxf3WB1hnfowzTgmE-qbxlGC9G6X5BdGE-q0lbr0WUHvvoB3tkHvQp9lYt3deMMXIfqcuuzSwb8HDdFTGmG1uNdCQ1x95I868EnfHWox-T7509Xqy_1xdfz9erjRW2WTOZa91xQCpZZkLznLWuRq2ajGBraWqMVbNoGDUddCpWqxwYbZRVKQ7WyVhyTd_vcKYafW0y5G8pW6D2MGLapayiVLaXiv6DUWjRS8QKKPWhiSCli303RDRB3HaPd_IfuL38orjeH-O1mQPvoORy-zN8e5jAfrY8wGpceMS64kqot2Ic95sY-xAHuQ_S2y7DzIf7xiH_t8RuB46aD</recordid><startdate>19980401</startdate><enddate>19980401</enddate><creator>Nyenhuis, David L.</creator><creator>Luchetta, Tracy</creator><general>Lawrence Erlbaum Associates, Inc</general><general>Taylor & Francis</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope><scope>7X8</scope></search><sort><creationdate>19980401</creationdate><title>The Development, Standardization, and Initial Validation of the Chicago Multiscale Depression Inventory</title><author>Nyenhuis, David L. ; Luchetta, Tracy</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c415t-7f2300ad1da52f2919e268b61ec09dc76ab98ec2e798e056fe8e86d6e5c076dd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Biological and medical sciences</topic><topic>Depression</topic><topic>Depressive Disorder - diagnosis</topic><topic>Development</topic><topic>Factor Analysis, Statistical</topic><topic>Female</topic><topic>Humans</topic><topic>Male</topic><topic>Measures</topic><topic>Medical sciences</topic><topic>Psychological Tests</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychometrics - methods</topic><topic>Psychometrics. Diagnostic aid systems</topic><topic>Psychopathology. Psychiatry</topic><topic>Reproducibility of Results</topic><topic>Standardization</topic><topic>Techniques and methods</topic><topic>United States</topic><topic>Validity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Nyenhuis, David L.</creatorcontrib><creatorcontrib>Luchetta, Tracy</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of personality assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Nyenhuis, David L.</au><au>Luchetta, Tracy</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Development, Standardization, and Initial Validation of the Chicago Multiscale Depression Inventory</atitle><jtitle>Journal of personality assessment</jtitle><addtitle>J Pers Assess</addtitle><date>1998-04-01</date><risdate>1998</risdate><volume>70</volume><issue>2</issue><spage>386</spage><epage>401</epage><pages>386-401</pages><issn>0022-3891</issn><eissn>1532-7752</eissn><coden>JNPABU</coden><abstract>Current self-report depression scales may overestimate depression symptoms in medical patients by including items measuring symptoms inherent to many medical conditions. They may therefore reflect a patient's medical rather than psychological state. We present the Chicago Multiscale Depression Inventory (CMDI), a factorially derived self-report depression scale that includes Mood, Evaluative, and Vegetative subscales. The CMDI and its subscales were designed to be used separately or combined; we posit that the nonvegetative CMDI subscales are the most accurate means of examining depression in medical patients. In this study we outline the development, standardization, and initial validation of the CMDI, a multistep process that required a total sample of 1,062 adults. We show the CMDI and each of its subscales to be internally consistent, reliable, and valid. Confirmatory factor analysis supports the CMDI factor structure. 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| ispartof | Journal of personality assessment, 1998-04, Vol.70 (2), p.386-401 |
| issn | 0022-3891 1532-7752 |
| language | eng |
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| source | Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; EBSCOhost Business Source Complete |
| subjects | Adult Aged Aged, 80 and over Biological and medical sciences Depression Depressive Disorder - diagnosis Development Factor Analysis, Statistical Female Humans Male Measures Medical sciences Psychological Tests Psychology. Psychoanalysis. Psychiatry Psychometrics - methods Psychometrics. Diagnostic aid systems Psychopathology. Psychiatry Reproducibility of Results Standardization Techniques and methods United States Validity |
| title | The Development, Standardization, and Initial Validation of the Chicago Multiscale Depression Inventory |
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