Psychometrics and latent structure of the IDS and QIDS with young adult students
Abstract Background Students and young adults have high rates of suicide and depression, thus are a population of interest. To date, there is no normative psychometric information on the IDS and QIDS in these populations. Furthermore, there is equivocal evidence on the factor structure and subscales...
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Veröffentlicht in: | Journal of affective disorders 2013-07, Vol.149 (1), p.217-220 |
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creator | Andrés González, David Boals, Adriel Jenkins, Sharon Rae Schuler, Eric R Taylor, Daniel |
description | Abstract Background Students and young adults have high rates of suicide and depression, thus are a population of interest. To date, there is no normative psychometric information on the IDS and QIDS in these populations. Furthermore, there is equivocal evidence on the factor structure and subscales of the IDS. Methods Two samples of young adult students ( n s=475 and 1681) were given multiple measures to test the psychometrics and dimensionality of the IDS and QIDS. Results The IDS, its subscales, and QIDS had acceptable internal consistencies ( αs =.79−90) and favorable convergent and divergent validity correlations. A three-factor structure and two Rasch-derived subscales best fit the IDS. Limitations The samples were collected from one university, which may influence generalizability. Conclusions The IDS and QIDS are desirable measures of depressive symptoms when studying young adult students. |
doi_str_mv | 10.1016/j.jad.2013.01.027 |
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To date, there is no normative psychometric information on the IDS and QIDS in these populations. Furthermore, there is equivocal evidence on the factor structure and subscales of the IDS. Methods Two samples of young adult students ( n s=475 and 1681) were given multiple measures to test the psychometrics and dimensionality of the IDS and QIDS. Results The IDS, its subscales, and QIDS had acceptable internal consistencies ( αs =.79−90) and favorable convergent and divergent validity correlations. A three-factor structure and two Rasch-derived subscales best fit the IDS. Limitations The samples were collected from one university, which may influence generalizability. Conclusions The IDS and QIDS are desirable measures of depressive symptoms when studying young adult students.</description><identifier>ISSN: 0165-0327</identifier><identifier>EISSN: 1573-2517</identifier><identifier>DOI: 10.1016/j.jad.2013.01.027</identifier><identifier>PMID: 23510546</identifier><identifier>CODEN: JADID7</identifier><language>eng</language><publisher>Oxford: Elsevier B.V</publisher><subject>Adolescent ; Adult and adolescent clinical studies ; Biological and medical sciences ; Depression ; Depression - diagnosis ; Depressive symptoms ; Factor structure ; Factor structures ; Female ; Generalizability ; Humans ; IDS ; Latent structures ; Male ; Mass Screening ; Medical sciences ; Mood disorders ; Psychiatry ; Psychological Tests ; Psychology. Psychoanalysis. Psychiatry ; Psychometrics ; Psychopathology. Psychiatry ; QIDS ; Self Report ; Students ; Students - psychology ; Young Adult - psychology ; Young adults</subject><ispartof>Journal of affective disorders, 2013-07, Vol.149 (1), p.217-220</ispartof><rights>Elsevier B.V.</rights><rights>2013 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2013 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c537t-e3227b074c07a643cd5774d84ff6a48d5d7505851baf3698cff11354a51873463</citedby><cites>FETCH-LOGICAL-c537t-e3227b074c07a643cd5774d84ff6a48d5d7505851baf3698cff11354a51873463</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0165032713000827$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3536,27903,27904,30979,65309</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27439771$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23510546$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Andrés González, David</creatorcontrib><creatorcontrib>Boals, Adriel</creatorcontrib><creatorcontrib>Jenkins, Sharon Rae</creatorcontrib><creatorcontrib>Schuler, Eric R</creatorcontrib><creatorcontrib>Taylor, Daniel</creatorcontrib><title>Psychometrics and latent structure of the IDS and QIDS with young adult students</title><title>Journal of affective disorders</title><addtitle>J Affect Disord</addtitle><description>Abstract Background Students and young adults have high rates of suicide and depression, thus are a population of interest. To date, there is no normative psychometric information on the IDS and QIDS in these populations. Furthermore, there is equivocal evidence on the factor structure and subscales of the IDS. Methods Two samples of young adult students ( n s=475 and 1681) were given multiple measures to test the psychometrics and dimensionality of the IDS and QIDS. Results The IDS, its subscales, and QIDS had acceptable internal consistencies ( αs =.79−90) and favorable convergent and divergent validity correlations. A three-factor structure and two Rasch-derived subscales best fit the IDS. Limitations The samples were collected from one university, which may influence generalizability. Conclusions The IDS and QIDS are desirable measures of depressive symptoms when studying young adult students.</description><subject>Adolescent</subject><subject>Adult and adolescent clinical studies</subject><subject>Biological and medical sciences</subject><subject>Depression</subject><subject>Depression - diagnosis</subject><subject>Depressive symptoms</subject><subject>Factor structure</subject><subject>Factor structures</subject><subject>Female</subject><subject>Generalizability</subject><subject>Humans</subject><subject>IDS</subject><subject>Latent structures</subject><subject>Male</subject><subject>Mass Screening</subject><subject>Medical sciences</subject><subject>Mood disorders</subject><subject>Psychiatry</subject><subject>Psychological Tests</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychometrics</subject><subject>Psychopathology. Psychiatry</subject><subject>QIDS</subject><subject>Self Report</subject><subject>Students</subject><subject>Students - psychology</subject><subject>Young Adult - psychology</subject><subject>Young adults</subject><issn>0165-0327</issn><issn>1573-2517</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><recordid>eNqNkl1rFDEUhoNY7Fr9Ad7I3AjezPScydcMgiD1q1CwUr0O2STjZpydaZOMsv_ejLut4IX2KoE875uQ5xDyDKFCQHHaV722VQ1IK8AKavmArJBLWtYc5UOyygwvgdbymDyOsQcA0Up4RI5ryhE4EytyeRl3ZjNtXQrexEKPthh0cmMqYgqzSXNwxdQVaeOK87dXv88_L5ufPm2K3TSP3wpt52HBZ5tj8Qk56vQQ3dPDekK-vn_35exjefHpw_nZm4vScCpT6WhdyzVIZkBqwaixXEpmG9Z1QrPGcis58IbjWndUtI3pOkTKmebYSMoEPSEv973XYbqZXUxq66Nxw6BHN81RIRf5X5pW3gNlFHIra9p7oLVo25YJ-X-UCiahRQ4ZxT1qwhRjcJ26Dn6rw04hqMWk6lU2qRaTClBlkznz_FA_r7fO3iVu1WXgxQHQ0eihC3o0Pv7hJKOtlJi5V3vOZRs_vAsqGu9G46wPziRlJ__PZ7z-K20GP_p84Xe3c7Gf5jBmzQpVrBWoq2XklolDmqetyQW_AO5NzFo</recordid><startdate>20130701</startdate><enddate>20130701</enddate><creator>Andrés González, David</creator><creator>Boals, Adriel</creator><creator>Jenkins, Sharon Rae</creator><creator>Schuler, Eric R</creator><creator>Taylor, Daniel</creator><general>Elsevier B.V</general><general>Elsevier</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>7X8</scope><scope>7TK</scope><scope>7QJ</scope></search><sort><creationdate>20130701</creationdate><title>Psychometrics and latent structure of the IDS and QIDS with young adult students</title><author>Andrés González, David ; Boals, Adriel ; Jenkins, Sharon Rae ; Schuler, Eric R ; Taylor, Daniel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c537t-e3227b074c07a643cd5774d84ff6a48d5d7505851baf3698cff11354a51873463</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Adolescent</topic><topic>Adult and adolescent clinical studies</topic><topic>Biological and medical sciences</topic><topic>Depression</topic><topic>Depression - diagnosis</topic><topic>Depressive symptoms</topic><topic>Factor structure</topic><topic>Factor structures</topic><topic>Female</topic><topic>Generalizability</topic><topic>Humans</topic><topic>IDS</topic><topic>Latent structures</topic><topic>Male</topic><topic>Mass Screening</topic><topic>Medical sciences</topic><topic>Mood disorders</topic><topic>Psychiatry</topic><topic>Psychological Tests</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychometrics</topic><topic>Psychopathology. Psychiatry</topic><topic>QIDS</topic><topic>Self Report</topic><topic>Students</topic><topic>Students - psychology</topic><topic>Young Adult - psychology</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Andrés González, David</creatorcontrib><creatorcontrib>Boals, Adriel</creatorcontrib><creatorcontrib>Jenkins, Sharon Rae</creatorcontrib><creatorcontrib>Schuler, Eric R</creatorcontrib><creatorcontrib>Taylor, Daniel</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>MEDLINE - Academic</collection><collection>Neurosciences Abstracts</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><jtitle>Journal of affective disorders</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Andrés González, David</au><au>Boals, Adriel</au><au>Jenkins, Sharon Rae</au><au>Schuler, Eric R</au><au>Taylor, Daniel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Psychometrics and latent structure of the IDS and QIDS with young adult students</atitle><jtitle>Journal of affective disorders</jtitle><addtitle>J Affect Disord</addtitle><date>2013-07-01</date><risdate>2013</risdate><volume>149</volume><issue>1</issue><spage>217</spage><epage>220</epage><pages>217-220</pages><issn>0165-0327</issn><eissn>1573-2517</eissn><coden>JADID7</coden><abstract>Abstract Background Students and young adults have high rates of suicide and depression, thus are a population of interest. To date, there is no normative psychometric information on the IDS and QIDS in these populations. Furthermore, there is equivocal evidence on the factor structure and subscales of the IDS. Methods Two samples of young adult students ( n s=475 and 1681) were given multiple measures to test the psychometrics and dimensionality of the IDS and QIDS. Results The IDS, its subscales, and QIDS had acceptable internal consistencies ( αs =.79−90) and favorable convergent and divergent validity correlations. A three-factor structure and two Rasch-derived subscales best fit the IDS. Limitations The samples were collected from one university, which may influence generalizability. Conclusions The IDS and QIDS are desirable measures of depressive symptoms when studying young adult students.</abstract><cop>Oxford</cop><pub>Elsevier B.V</pub><pmid>23510546</pmid><doi>10.1016/j.jad.2013.01.027</doi><tpages>4</tpages></addata></record> |
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subjects | Adolescent Adult and adolescent clinical studies Biological and medical sciences Depression Depression - diagnosis Depressive symptoms Factor structure Factor structures Female Generalizability Humans IDS Latent structures Male Mass Screening Medical sciences Mood disorders Psychiatry Psychological Tests Psychology. Psychoanalysis. Psychiatry Psychometrics Psychopathology. Psychiatry QIDS Self Report Students Students - psychology Young Adult - psychology Young adults |
title | Psychometrics and latent structure of the IDS and QIDS with young adult students |
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