Psychometric Evaluation of the interRAI Child and Youth Mental Health Disruptive/Aggression Behaviour Scale (DABS) and Hyperactive/Distraction Scale (HDS)
The present study aims to validate the interRAI Child and Youth Mental Health (interRAI ChYMH), Disruptive/Aggression Behaviour Scale (DABS) and Hyperactive/Distraction Scale (HDS). Data were collected from children/youth aged 4–18 ( N = 3464) across 39 mental health agencies in Ontario, Canada. Un...
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| Veröffentlicht in: | Child psychiatry and human development 2018-04, Vol.49 (2), p.279-289 |
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| creator | Lau, Chloe Stewart, Shannon L. Saklofske, Donald H. Tremblay, Paul F. Hirdes, John |
| description | The present study aims to validate the interRAI Child and Youth Mental Health (interRAI ChYMH), Disruptive/Aggression Behaviour Scale (DABS) and Hyperactive/Distraction Scale (HDS). Data were collected from children/youth aged 4–18 (
N
= 3464) across 39 mental health agencies in Ontario, Canada. Unrestricted factor analysis using polychoric correlation matrices and Samejima’s graded item response theory (IRT) parameterizations were conducted for both measures. Scores on the HDS and DABS were also compared amongst children/youth diagnosed with attention-deficit hyperactivity disorder (ADHD) and disruptive behaviour disorder (DBD) respectively using DSM-IV criteria. Results from the factor analysis and IRT analysis demonstrated good measurement properties. Using a receiver operating characteristics curve, the area under the curve (AUC) for the HDS and DABS is 0.79 and 0.75 for a diagnosis of ADHD and DBD respectively. Overall, converging results suggest that the interRAI HDS and DABS may serve as effective measures that detect externalizing mental health indicators. |
| doi_str_mv | 10.1007/s10578-017-0751-y |
| format | Article |
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N
= 3464) across 39 mental health agencies in Ontario, Canada. Unrestricted factor analysis using polychoric correlation matrices and Samejima’s graded item response theory (IRT) parameterizations were conducted for both measures. Scores on the HDS and DABS were also compared amongst children/youth diagnosed with attention-deficit hyperactivity disorder (ADHD) and disruptive behaviour disorder (DBD) respectively using DSM-IV criteria. Results from the factor analysis and IRT analysis demonstrated good measurement properties. Using a receiver operating characteristics curve, the area under the curve (AUC) for the HDS and DABS is 0.79 and 0.75 for a diagnosis of ADHD and DBD respectively. Overall, converging results suggest that the interRAI HDS and DABS may serve as effective measures that detect externalizing mental health indicators.</description><identifier>ISSN: 0009-398X</identifier><identifier>EISSN: 1573-3327</identifier><identifier>DOI: 10.1007/s10578-017-0751-y</identifier><identifier>PMID: 28791517</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Adolescent ; Aggression ; Aggression - psychology ; Aggressiveness ; Attention - physiology ; Attention Deficit and Disruptive Behavior Disorders - diagnosis ; Attention Deficit and Disruptive Behavior Disorders - psychology ; Attention deficit hyperactivity disorder ; Behavior rating scales ; Behavioral Science and Psychology ; Canada ; Child ; Child & adolescent psychiatry ; Child and School Psychology ; Child, Preschool ; Children ; Diagnostic and Statistical Manual of Mental Disorders ; Disruptive behaviour ; Distraction ; Factor analysis ; Factor Analysis, Statistical ; Female ; Health behavior ; Health indicators ; Health status ; Humans ; Hyperactivity ; Item response theory ; Male ; Matrices ; Measurement ; Medical diagnosis ; Mental disorders ; Mental Health ; Original Article ; Psychiatry ; Psychology ; Psychometrics ; Quantitative psychology ; Youth</subject><ispartof>Child psychiatry and human development, 2018-04, Vol.49 (2), p.279-289</ispartof><rights>Springer Science+Business Media, LLC 2017</rights><rights>Child Psychiatry & Human Development is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-2a8ba4c83f233d5695a598f9db644cfafaf495565f6b3f7e974b499d873575d23</citedby><cites>FETCH-LOGICAL-c372t-2a8ba4c83f233d5695a598f9db644cfafaf495565f6b3f7e974b499d873575d23</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10578-017-0751-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10578-017-0751-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,12826,27903,27904,30978,41467,42536,51297</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28791517$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lau, Chloe</creatorcontrib><creatorcontrib>Stewart, Shannon L.</creatorcontrib><creatorcontrib>Saklofske, Donald H.</creatorcontrib><creatorcontrib>Tremblay, Paul F.</creatorcontrib><creatorcontrib>Hirdes, John</creatorcontrib><title>Psychometric Evaluation of the interRAI Child and Youth Mental Health Disruptive/Aggression Behaviour Scale (DABS) and Hyperactive/Distraction Scale (HDS)</title><title>Child psychiatry and human development</title><addtitle>Child Psychiatry Hum Dev</addtitle><addtitle>Child Psychiatry Hum Dev</addtitle><description>The present study aims to validate the interRAI Child and Youth Mental Health (interRAI ChYMH), Disruptive/Aggression Behaviour Scale (DABS) and Hyperactive/Distraction Scale (HDS). Data were collected from children/youth aged 4–18 (
N
= 3464) across 39 mental health agencies in Ontario, Canada. Unrestricted factor analysis using polychoric correlation matrices and Samejima’s graded item response theory (IRT) parameterizations were conducted for both measures. Scores on the HDS and DABS were also compared amongst children/youth diagnosed with attention-deficit hyperactivity disorder (ADHD) and disruptive behaviour disorder (DBD) respectively using DSM-IV criteria. Results from the factor analysis and IRT analysis demonstrated good measurement properties. Using a receiver operating characteristics curve, the area under the curve (AUC) for the HDS and DABS is 0.79 and 0.75 for a diagnosis of ADHD and DBD respectively. Overall, converging results suggest that the interRAI HDS and DABS may serve as effective measures that detect externalizing mental health indicators.</description><subject>Adolescent</subject><subject>Aggression</subject><subject>Aggression - psychology</subject><subject>Aggressiveness</subject><subject>Attention - physiology</subject><subject>Attention Deficit and Disruptive Behavior Disorders - diagnosis</subject><subject>Attention Deficit and Disruptive Behavior Disorders - psychology</subject><subject>Attention deficit hyperactivity disorder</subject><subject>Behavior rating scales</subject><subject>Behavioral Science and Psychology</subject><subject>Canada</subject><subject>Child</subject><subject>Child & adolescent psychiatry</subject><subject>Child and School Psychology</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Diagnostic and Statistical Manual of Mental Disorders</subject><subject>Disruptive behaviour</subject><subject>Distraction</subject><subject>Factor analysis</subject><subject>Factor Analysis, Statistical</subject><subject>Female</subject><subject>Health behavior</subject><subject>Health indicators</subject><subject>Health status</subject><subject>Humans</subject><subject>Hyperactivity</subject><subject>Item response theory</subject><subject>Male</subject><subject>Matrices</subject><subject>Measurement</subject><subject>Medical diagnosis</subject><subject>Mental disorders</subject><subject>Mental Health</subject><subject>Original Article</subject><subject>Psychiatry</subject><subject>Psychology</subject><subject>Psychometrics</subject><subject>Quantitative psychology</subject><subject>Youth</subject><issn>0009-398X</issn><issn>1573-3327</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7QJ</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kc1u1DAUhS0EotPCA7BBlti0i7T-ieN4OZ1pO5WKQAxIsLKc5GbiKpNMbWekvEqftp4fQEJCXthX9zvHvj4IfaDkkhIirzwlQuYJoTIhUtBkfIUmVEiecM7kazQhhKiEq_znCTr1_jGWLGfZW3TCcqmooHKCnr_6sWz6NQRnS3yzNe1ggu073Nc4NIBtF8B9m97jWWPbCpuuwr_6ITT4M3TBtHgBpo3V3Ho3bILdwtV0tXLg_c7jGhqztf3g8LI0LeDz-fR6ebE3WYwbcKbcK6I47M9RcgQX8-XFO_SmNq2H98f9DP24vfk-WyQPX-7uZ9OHpOSShYSZvDBpmfOacV6JTAkjVF6rqsjStKxNXKkSIhN1VvBagpJpkSpV5ZILKSrGz9D5wXfj-qcBfNBr60toW9NBP3hNFZPRkWQ8op_-QR_jdF18nWYk_jzhUqSRogeqdL33Dmq9cXZt3Kgp0bvg9CE4HYPTu-D0GDUfj85DsYbqj-J3UhFgB8DHVrcC9_fq_7u-ACLKpAQ</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Lau, Chloe</creator><creator>Stewart, Shannon L.</creator><creator>Saklofske, Donald H.</creator><creator>Tremblay, Paul F.</creator><creator>Hirdes, John</creator><general>Springer US</general><general>Springer Nature B.V</general><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>0-V</scope><scope>3V.</scope><scope>7QG</scope><scope>7QJ</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88B</scope><scope>88E</scope><scope>88G</scope><scope>88J</scope><scope>8A4</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HEHIP</scope><scope>K9.</scope><scope>M0P</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2R</scope><scope>M2S</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20180401</creationdate><title>Psychometric Evaluation of the interRAI Child and Youth Mental Health Disruptive/Aggression Behaviour Scale (DABS) and Hyperactive/Distraction Scale (HDS)</title><author>Lau, Chloe ; Stewart, Shannon L. ; Saklofske, Donald H. ; Tremblay, Paul F. ; Hirdes, John</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-2a8ba4c83f233d5695a598f9db644cfafaf495565f6b3f7e974b499d873575d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Adolescent</topic><topic>Aggression</topic><topic>Aggression - psychology</topic><topic>Aggressiveness</topic><topic>Attention - physiology</topic><topic>Attention Deficit and Disruptive Behavior Disorders - diagnosis</topic><topic>Attention Deficit and Disruptive Behavior Disorders - psychology</topic><topic>Attention deficit hyperactivity disorder</topic><topic>Behavior rating scales</topic><topic>Behavioral Science and Psychology</topic><topic>Canada</topic><topic>Child</topic><topic>Child & adolescent psychiatry</topic><topic>Child and School Psychology</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Diagnostic and Statistical Manual of Mental Disorders</topic><topic>Disruptive behaviour</topic><topic>Distraction</topic><topic>Factor analysis</topic><topic>Factor Analysis, Statistical</topic><topic>Female</topic><topic>Health behavior</topic><topic>Health indicators</topic><topic>Health status</topic><topic>Humans</topic><topic>Hyperactivity</topic><topic>Item response theory</topic><topic>Male</topic><topic>Matrices</topic><topic>Measurement</topic><topic>Medical diagnosis</topic><topic>Mental disorders</topic><topic>Mental Health</topic><topic>Original Article</topic><topic>Psychiatry</topic><topic>Psychology</topic><topic>Psychometrics</topic><topic>Quantitative psychology</topic><topic>Youth</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lau, Chloe</creatorcontrib><creatorcontrib>Stewart, Shannon L.</creatorcontrib><creatorcontrib>Saklofske, Donald H.</creatorcontrib><creatorcontrib>Tremblay, Paul F.</creatorcontrib><creatorcontrib>Hirdes, John</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Neurosciences Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Education Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>Education Periodicals</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Sociology Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Education Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Psychology</collection><collection>Social Science Database</collection><collection>Sociology Database</collection><collection>ProQuest One Education</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Child psychiatry and human development</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lau, Chloe</au><au>Stewart, Shannon L.</au><au>Saklofske, Donald H.</au><au>Tremblay, Paul F.</au><au>Hirdes, John</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Psychometric Evaluation of the interRAI Child and Youth Mental Health Disruptive/Aggression Behaviour Scale (DABS) and Hyperactive/Distraction Scale (HDS)</atitle><jtitle>Child psychiatry and human development</jtitle><stitle>Child Psychiatry Hum Dev</stitle><addtitle>Child Psychiatry Hum Dev</addtitle><date>2018-04-01</date><risdate>2018</risdate><volume>49</volume><issue>2</issue><spage>279</spage><epage>289</epage><pages>279-289</pages><issn>0009-398X</issn><eissn>1573-3327</eissn><abstract>The present study aims to validate the interRAI Child and Youth Mental Health (interRAI ChYMH), Disruptive/Aggression Behaviour Scale (DABS) and Hyperactive/Distraction Scale (HDS). Data were collected from children/youth aged 4–18 (
N
= 3464) across 39 mental health agencies in Ontario, Canada. Unrestricted factor analysis using polychoric correlation matrices and Samejima’s graded item response theory (IRT) parameterizations were conducted for both measures. Scores on the HDS and DABS were also compared amongst children/youth diagnosed with attention-deficit hyperactivity disorder (ADHD) and disruptive behaviour disorder (DBD) respectively using DSM-IV criteria. Results from the factor analysis and IRT analysis demonstrated good measurement properties. Using a receiver operating characteristics curve, the area under the curve (AUC) for the HDS and DABS is 0.79 and 0.75 for a diagnosis of ADHD and DBD respectively. Overall, converging results suggest that the interRAI HDS and DABS may serve as effective measures that detect externalizing mental health indicators.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>28791517</pmid><doi>10.1007/s10578-017-0751-y</doi><tpages>11</tpages></addata></record> |
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| subjects | Adolescent Aggression Aggression - psychology Aggressiveness Attention - physiology Attention Deficit and Disruptive Behavior Disorders - diagnosis Attention Deficit and Disruptive Behavior Disorders - psychology Attention deficit hyperactivity disorder Behavior rating scales Behavioral Science and Psychology Canada Child Child & adolescent psychiatry Child and School Psychology Child, Preschool Children Diagnostic and Statistical Manual of Mental Disorders Disruptive behaviour Distraction Factor analysis Factor Analysis, Statistical Female Health behavior Health indicators Health status Humans Hyperactivity Item response theory Male Matrices Measurement Medical diagnosis Mental disorders Mental Health Original Article Psychiatry Psychology Psychometrics Quantitative psychology Youth |
| title | Psychometric Evaluation of the interRAI Child and Youth Mental Health Disruptive/Aggression Behaviour Scale (DABS) and Hyperactive/Distraction Scale (HDS) |
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