Dimensional, non-taxonic latent structure of psychotic symptoms in a student sample
Introduction We examined the construct of psychosis using the self-report instrument CAPE (Community Assessment of Psychic Experiences) in a sample of 1,323 students. Materials and Methods Taxometric analysis was carried out using Taxometric Programs for the R Computing Environment. The MAXCOV CCFI...
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| Veröffentlicht in: | Social Psychiatry and Psychiatric Epidemiology 2009-11, Vol.44 (11), p.911-916 |
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| container_title | Social Psychiatry and Psychiatric Epidemiology |
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| creator | Daneluzzo, E. Stratta, P. Di Tommaso, S. Pacifico, R. Riccardi, I. Rossi, A. |
| description | Introduction
We examined the construct of psychosis using the self-report instrument CAPE (Community Assessment of Psychic Experiences) in a sample of 1,323 students.
Materials and Methods
Taxometric analysis was carried out using Taxometric Programs for the R Computing Environment. The MAXCOV CCFI was 0.34, indicating a dimensional latent structure. All other taxometric analysis yielded very similar results indicative of dimensional structure.
Conclusion
In this study, using powerful analytic techniques designed expressly for the purpose, i.e. taxometric analysis, the latent construct of psychosis in a sample of young students appeared to be consistent with a dimensional, non-taxonic latent structure. |
| doi_str_mv | 10.1007/s00127-009-0028-2 |
| format | Article |
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We examined the construct of psychosis using the self-report instrument CAPE (Community Assessment of Psychic Experiences) in a sample of 1,323 students.
Materials and Methods
Taxometric analysis was carried out using Taxometric Programs for the R Computing Environment. The MAXCOV CCFI was 0.34, indicating a dimensional latent structure. All other taxometric analysis yielded very similar results indicative of dimensional structure.
Conclusion
In this study, using powerful analytic techniques designed expressly for the purpose, i.e. taxometric analysis, the latent construct of psychosis in a sample of young students appeared to be consistent with a dimensional, non-taxonic latent structure.</description><identifier>ISSN: 0933-7954</identifier><identifier>EISSN: 1433-9285</identifier><identifier>DOI: 10.1007/s00127-009-0028-2</identifier><identifier>PMID: 19305938</identifier><identifier>CODEN: SPPEEM</identifier><language>eng</language><publisher>Heidelberg: D. Steinkopff-Verlag</publisher><subject>Adult and adolescent clinical studies ; Biological and medical sciences ; Classification - methods ; Epidemiology ; Health Surveys ; Humans ; Medical sciences ; Medicine ; Medicine & Public Health ; Models, Statistical ; Nosology. Terminology. Diagnostic criteria ; Original Paper ; Other psychotic disorders ; Personality Inventory - statistics & numerical data ; Psychiatry ; Psychology. Psychoanalysis. Psychiatry ; Psychopathology. Psychiatry ; Psychoses ; Psychosis ; Psychotic Disorders - classification ; Psychotic Disorders - diagnosis ; Severity of Illness Index ; Statistical analysis ; Students ; Students - classification ; Techniques and methods</subject><ispartof>Social Psychiatry and Psychiatric Epidemiology, 2009-11, Vol.44 (11), p.911-916</ispartof><rights>Springer-Verlag 2009</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c400t-dfa9007f6e4d418983b246779836a267403a8a94f9be69b031f44e5b0d363ef3</citedby><cites>FETCH-LOGICAL-c400t-dfa9007f6e4d418983b246779836a267403a8a94f9be69b031f44e5b0d363ef3</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/s00127-009-0028-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00127-009-0028-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,782,786,27933,27934,41497,42566,51328</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22059193$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19305938$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Daneluzzo, E.</creatorcontrib><creatorcontrib>Stratta, P.</creatorcontrib><creatorcontrib>Di Tommaso, S.</creatorcontrib><creatorcontrib>Pacifico, R.</creatorcontrib><creatorcontrib>Riccardi, I.</creatorcontrib><creatorcontrib>Rossi, A.</creatorcontrib><title>Dimensional, non-taxonic latent structure of psychotic symptoms in a student sample</title><title>Social Psychiatry and Psychiatric Epidemiology</title><addtitle>Soc Psychiat Epidemiol</addtitle><addtitle>Soc Psychiatry Psychiatr Epidemiol</addtitle><description>Introduction
We examined the construct of psychosis using the self-report instrument CAPE (Community Assessment of Psychic Experiences) in a sample of 1,323 students.
Materials and Methods
Taxometric analysis was carried out using Taxometric Programs for the R Computing Environment. The MAXCOV CCFI was 0.34, indicating a dimensional latent structure. All other taxometric analysis yielded very similar results indicative of dimensional structure.
Conclusion
In this study, using powerful analytic techniques designed expressly for the purpose, i.e. taxometric analysis, the latent construct of psychosis in a sample of young students appeared to be consistent with a dimensional, non-taxonic latent structure.</description><subject>Adult and adolescent clinical studies</subject><subject>Biological and medical sciences</subject><subject>Classification - methods</subject><subject>Epidemiology</subject><subject>Health Surveys</subject><subject>Humans</subject><subject>Medical sciences</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Models, Statistical</subject><subject>Nosology. Terminology. Diagnostic criteria</subject><subject>Original Paper</subject><subject>Other psychotic disorders</subject><subject>Personality Inventory - statistics & numerical data</subject><subject>Psychiatry</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychopathology. Psychiatry</subject><subject>Psychoses</subject><subject>Psychosis</subject><subject>Psychotic Disorders - classification</subject><subject>Psychotic Disorders - diagnosis</subject><subject>Severity of Illness Index</subject><subject>Statistical analysis</subject><subject>Students</subject><subject>Students - classification</subject><subject>Techniques and methods</subject><issn>0933-7954</issn><issn>1433-9285</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kEtr3DAQgEVJSbbb_IBcggmEXup29FjJOoa8Wgj00NyFbEuNgy05Ghm6_z5Kd0kg0MMwA_PNSPMRckLhGwVQ3xGAMlUD6BKsqdkHsqKC81qzZnNAVqBLrfRGHJFPiI8AwLXih-SIag4bzZsV-X01TC7gEIMdv1YhhjrbvzEMXTXa7EKuMKely0tyVfTVjNvuIebSxe005zhhNYTKFmjp_8F2mkf3mXz0dkR3vM9rcn9zfX_5o777dfvz8uKu7gRArntvdbnCSyd6QRvd8JYJqVQppGVSCeC2sVp43TqpW-DUC-E2LfRccuf5mnzZrZ1TfFocZjMN2LlxtMHFBY3iArSQxceanL0jH-OSysVoGJegJVOqQHQHdSkiJufNnIbJpq2hYF50m51uU3SbF91ldk1O94uXdnL928TebwHO94DFzo4-2dAN-MoxVrACF47tOCyt8Meltx_-__VnHdKWtg</recordid><startdate>20091101</startdate><enddate>20091101</enddate><creator>Daneluzzo, E.</creator><creator>Stratta, P.</creator><creator>Di Tommaso, S.</creator><creator>Pacifico, R.</creator><creator>Riccardi, I.</creator><creator>Rossi, A.</creator><general>D. 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Terminology. Diagnostic criteria</topic><topic>Original Paper</topic><topic>Other psychotic disorders</topic><topic>Personality Inventory - statistics & numerical data</topic><topic>Psychiatry</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychopathology. Psychiatry</topic><topic>Psychoses</topic><topic>Psychosis</topic><topic>Psychotic Disorders - classification</topic><topic>Psychotic Disorders - diagnosis</topic><topic>Severity of Illness Index</topic><topic>Statistical analysis</topic><topic>Students</topic><topic>Students - classification</topic><topic>Techniques and methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Daneluzzo, E.</creatorcontrib><creatorcontrib>Stratta, P.</creatorcontrib><creatorcontrib>Di Tommaso, S.</creatorcontrib><creatorcontrib>Pacifico, R.</creatorcontrib><creatorcontrib>Riccardi, I.</creatorcontrib><creatorcontrib>Rossi, A.</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>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</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>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</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>Social Psychiatry and Psychiatric Epidemiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Daneluzzo, E.</au><au>Stratta, P.</au><au>Di Tommaso, S.</au><au>Pacifico, R.</au><au>Riccardi, I.</au><au>Rossi, A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Dimensional, non-taxonic latent structure of psychotic symptoms in a student sample</atitle><jtitle>Social Psychiatry and Psychiatric Epidemiology</jtitle><stitle>Soc Psychiat Epidemiol</stitle><addtitle>Soc Psychiatry Psychiatr Epidemiol</addtitle><date>2009-11-01</date><risdate>2009</risdate><volume>44</volume><issue>11</issue><spage>911</spage><epage>916</epage><pages>911-916</pages><issn>0933-7954</issn><eissn>1433-9285</eissn><coden>SPPEEM</coden><abstract>Introduction
We examined the construct of psychosis using the self-report instrument CAPE (Community Assessment of Psychic Experiences) in a sample of 1,323 students.
Materials and Methods
Taxometric analysis was carried out using Taxometric Programs for the R Computing Environment. The MAXCOV CCFI was 0.34, indicating a dimensional latent structure. All other taxometric analysis yielded very similar results indicative of dimensional structure.
Conclusion
In this study, using powerful analytic techniques designed expressly for the purpose, i.e. taxometric analysis, the latent construct of psychosis in a sample of young students appeared to be consistent with a dimensional, non-taxonic latent structure.</abstract><cop>Heidelberg</cop><pub>D. Steinkopff-Verlag</pub><pmid>19305938</pmid><doi>10.1007/s00127-009-0028-2</doi><tpages>6</tpages></addata></record> |
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| subjects | Adult and adolescent clinical studies Biological and medical sciences Classification - methods Epidemiology Health Surveys Humans Medical sciences Medicine Medicine & Public Health Models, Statistical Nosology. Terminology. Diagnostic criteria Original Paper Other psychotic disorders Personality Inventory - statistics & numerical data Psychiatry Psychology. Psychoanalysis. Psychiatry Psychopathology. Psychiatry Psychoses Psychosis Psychotic Disorders - classification Psychotic Disorders - diagnosis Severity of Illness Index Statistical analysis Students Students - classification Techniques and methods |
| title | Dimensional, non-taxonic latent structure of psychotic symptoms in a student sample |
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