A Maximum Likelihood Approach to Test Validation with Missing and Censored Dependent Variables
A model is proposed for investigating test validity as a predictor of a criterion variable when there are both missing and censored scores in the data set. Implications for maximum likelihood estimation are discussed, and the method is illustrated with hypothetical data sets. (SLD)
Gespeichert in:
| Veröffentlicht in: | Psychometrika 1990-09, Vol.55 (3), p.533-549 |
|---|---|
| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 549 |
|---|---|
| container_issue | 3 |
| container_start_page | 533 |
| container_title | Psychometrika |
| container_volume | 55 |
| creator | Gross, Alan L |
| description | A model is proposed for investigating test validity as a predictor of a criterion variable when there are both missing and censored scores in the data set. Implications for maximum likelihood estimation are discussed, and the method is illustrated with hypothetical data sets. (SLD) |
| doi_str_mv | 10.1007/BF02294766 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1304595298</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ericid>EJ417558</ericid><sourcerecordid>1304595298</sourcerecordid><originalsourceid>FETCH-LOGICAL-c307t-a9a5ccdc522bfb7eb5ed4a695b3a64947d1d5c4d843a7f9554c29f887d47dd3d3</originalsourceid><addsrcrecordid>eNpFkM1PAyEQxYnRxFq9ePZAoieTVVhgF461tn6kjZfq0Q0LrKVuocI26n8vTZt6msP7zZs3D4BzjG4wQuXt3RjluaBlURyAHuYFypDg6BD0ECIkIzgnx-AkxgVCSGDOe-B9AKfyxy7XSzixn6a1c-81HKxWwUs1h52HMxM7-CZbq2VnvYPftpvDqY3Rug8onYZD46IPRsN7szJOG7fBg5V1a-IpOGpkG83ZbvbB63g0Gz5mk5eHp-FgkimCyi6TQjKltGJ5Xjd1aWpmNJWFYDWRBU3_aKyZoppTIstGMEZVLhrOS50kTTTpg8utb8r9tU6Jq4VfB5dOVpggygTLBU_U9ZZSwccYTFOtgl3K8FthVG36q_77S_DVzlJGJdsmSKds3G8QjhlhOGEXW8wEq_bq6JnikjFO_gCfmXg-</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1304595298</pqid></control><display><type>article</type><title>A Maximum Likelihood Approach to Test Validation with Missing and Censored Dependent Variables</title><source>SpringerLink Journals</source><source>Periodicals Index Online</source><creator>Gross, Alan L</creator><creatorcontrib>Gross, Alan L</creatorcontrib><description>A model is proposed for investigating test validity as a predictor of a criterion variable when there are both missing and censored scores in the data set. Implications for maximum likelihood estimation are discussed, and the method is illustrated with hypothetical data sets. (SLD)</description><identifier>ISSN: 0033-3123</identifier><identifier>EISSN: 1860-0980</identifier><identifier>DOI: 10.1007/BF02294766</identifier><identifier>CODEN: PSMTA2</identifier><language>eng</language><publisher>Heidelberg: Springer</publisher><subject>Biological and medical sciences ; Censored Data ; EM Algorithm ; Equations (Mathematics) ; Fundamental and applied biological sciences. Psychology ; Mathematical Models ; Maximum Likelihood Statistics ; Missing Data ; Predictive Measurement ; Predictor Variables ; Psychology. Psychoanalysis. Psychiatry ; Psychology. Psychophysiology ; Psychometrics ; Psychometrics. Statistics. Methodology ; Range Restriction ; Scores ; Test Validity ; Testing Problems</subject><ispartof>Psychometrika, 1990-09, Vol.55 (3), p.533-549</ispartof><rights>1994 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c307t-a9a5ccdc522bfb7eb5ed4a695b3a64947d1d5c4d843a7f9554c29f887d47dd3d3</citedby><cites>FETCH-LOGICAL-c307t-a9a5ccdc522bfb7eb5ed4a695b3a64947d1d5c4d843a7f9554c29f887d47dd3d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27848,27903,27904</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ417558$$DView record in ERIC$$Hfree_for_read</backlink><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=3815351$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Gross, Alan L</creatorcontrib><title>A Maximum Likelihood Approach to Test Validation with Missing and Censored Dependent Variables</title><title>Psychometrika</title><description>A model is proposed for investigating test validity as a predictor of a criterion variable when there are both missing and censored scores in the data set. Implications for maximum likelihood estimation are discussed, and the method is illustrated with hypothetical data sets. (SLD)</description><subject>Biological and medical sciences</subject><subject>Censored Data</subject><subject>EM Algorithm</subject><subject>Equations (Mathematics)</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Mathematical Models</subject><subject>Maximum Likelihood Statistics</subject><subject>Missing Data</subject><subject>Predictive Measurement</subject><subject>Predictor Variables</subject><subject>Psychology. Psychoanalysis. Psychiatry</subject><subject>Psychology. Psychophysiology</subject><subject>Psychometrics</subject><subject>Psychometrics. Statistics. Methodology</subject><subject>Range Restriction</subject><subject>Scores</subject><subject>Test Validity</subject><subject>Testing Problems</subject><issn>0033-3123</issn><issn>1860-0980</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1990</creationdate><recordtype>article</recordtype><sourceid>K30</sourceid><recordid>eNpFkM1PAyEQxYnRxFq9ePZAoieTVVhgF461tn6kjZfq0Q0LrKVuocI26n8vTZt6msP7zZs3D4BzjG4wQuXt3RjluaBlURyAHuYFypDg6BD0ECIkIzgnx-AkxgVCSGDOe-B9AKfyxy7XSzixn6a1c-81HKxWwUs1h52HMxM7-CZbq2VnvYPftpvDqY3Rug8onYZD46IPRsN7szJOG7fBg5V1a-IpOGpkG83ZbvbB63g0Gz5mk5eHp-FgkimCyi6TQjKltGJ5Xjd1aWpmNJWFYDWRBU3_aKyZoppTIstGMEZVLhrOS50kTTTpg8utb8r9tU6Jq4VfB5dOVpggygTLBU_U9ZZSwccYTFOtgl3K8FthVG36q_77S_DVzlJGJdsmSKds3G8QjhlhOGEXW8wEq_bq6JnikjFO_gCfmXg-</recordid><startdate>19900901</startdate><enddate>19900901</enddate><creator>Gross, Alan L</creator><general>Springer</general><general>Psychometric Society, etc</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>GHXMH</scope><scope>GPCCI</scope><scope>IOIBA</scope><scope>K30</scope><scope>PAAUG</scope><scope>PAWHS</scope><scope>PAWZZ</scope><scope>PAXOH</scope><scope>PBHAV</scope><scope>PBQSW</scope><scope>PBYQZ</scope><scope>PCIWU</scope><scope>PCMID</scope><scope>PCZJX</scope><scope>PDGRG</scope><scope>PDWWI</scope><scope>PETMR</scope><scope>PFVGT</scope><scope>PGXDX</scope><scope>PIHIL</scope><scope>PISVA</scope><scope>PJCTQ</scope><scope>PJTMS</scope><scope>PLCHJ</scope><scope>PMHAD</scope><scope>PNQDJ</scope><scope>POUND</scope><scope>PPLAD</scope><scope>PQAPC</scope><scope>PQCAN</scope><scope>PQCMW</scope><scope>PQEME</scope><scope>PQHKH</scope><scope>PQMID</scope><scope>PQNCT</scope><scope>PQNET</scope><scope>PQSCT</scope><scope>PQSET</scope><scope>PSVJG</scope><scope>PVMQY</scope><scope>PZGFC</scope></search><sort><creationdate>19900901</creationdate><title>A Maximum Likelihood Approach to Test Validation with Missing and Censored Dependent Variables</title><author>Gross, Alan L</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c307t-a9a5ccdc522bfb7eb5ed4a695b3a64947d1d5c4d843a7f9554c29f887d47dd3d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1990</creationdate><topic>Biological and medical sciences</topic><topic>Censored Data</topic><topic>EM Algorithm</topic><topic>Equations (Mathematics)</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Mathematical Models</topic><topic>Maximum Likelihood Statistics</topic><topic>Missing Data</topic><topic>Predictive Measurement</topic><topic>Predictor Variables</topic><topic>Psychology. Psychoanalysis. Psychiatry</topic><topic>Psychology. Psychophysiology</topic><topic>Psychometrics</topic><topic>Psychometrics. Statistics. Methodology</topic><topic>Range Restriction</topic><topic>Scores</topic><topic>Test Validity</topic><topic>Testing Problems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gross, Alan L</creatorcontrib><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Periodicals Index Online Segment 09</collection><collection>Periodicals Index Online Segment 10</collection><collection>Periodicals Index Online Segment 29</collection><collection>Periodicals Index Online</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - West</collection><collection>Primary Sources Access (Plan D) - International</collection><collection>Primary Sources Access & Build (Plan A) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Midwest</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Northeast</collection><collection>Primary Sources Access (Plan D) - Southeast</collection><collection>Primary Sources Access (Plan D) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Southeast</collection><collection>Primary Sources Access (Plan D) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - UK / I</collection><collection>Primary Sources Access (Plan D) - Canada</collection><collection>Primary Sources Access (Plan D) - EMEALA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - North Central</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - International</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - International</collection><collection>Primary Sources Access (Plan D) - West</collection><collection>Periodicals Index Online Segments 1-50</collection><collection>Primary Sources Access (Plan D) - APAC</collection><collection>Primary Sources Access (Plan D) - Midwest</collection><collection>Primary Sources Access (Plan D) - MEA</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - Canada</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - EMEALA</collection><collection>Primary Sources Access & Build (Plan A) - APAC</collection><collection>Primary Sources Access & Build (Plan A) - Canada</collection><collection>Primary Sources Access & Build (Plan A) - West</collection><collection>Primary Sources Access & Build (Plan A) - EMEALA</collection><collection>Primary Sources Access (Plan D) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - Midwest</collection><collection>Primary Sources Access & Build (Plan A) - North Central</collection><collection>Primary Sources Access & Build (Plan A) - Northeast</collection><collection>Primary Sources Access & Build (Plan A) - South Central</collection><collection>Primary Sources Access & Build (Plan A) - Southeast</collection><collection>Primary Sources Access (Plan D) - UK / I</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - APAC</collection><collection>Primary Sources Access—Foundation Edition (Plan E) - MEA</collection><jtitle>Psychometrika</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gross, Alan L</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ417558</ericid><atitle>A Maximum Likelihood Approach to Test Validation with Missing and Censored Dependent Variables</atitle><jtitle>Psychometrika</jtitle><date>1990-09-01</date><risdate>1990</risdate><volume>55</volume><issue>3</issue><spage>533</spage><epage>549</epage><pages>533-549</pages><issn>0033-3123</issn><eissn>1860-0980</eissn><coden>PSMTA2</coden><abstract>A model is proposed for investigating test validity as a predictor of a criterion variable when there are both missing and censored scores in the data set. Implications for maximum likelihood estimation are discussed, and the method is illustrated with hypothetical data sets. (SLD)</abstract><cop>Heidelberg</cop><pub>Springer</pub><doi>10.1007/BF02294766</doi><tpages>17</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0033-3123 |
| ispartof | Psychometrika, 1990-09, Vol.55 (3), p.533-549 |
| issn | 0033-3123 1860-0980 |
| language | eng |
| recordid | cdi_proquest_journals_1304595298 |
| source | SpringerLink Journals; Periodicals Index Online |
| subjects | Biological and medical sciences Censored Data EM Algorithm Equations (Mathematics) Fundamental and applied biological sciences. Psychology Mathematical Models Maximum Likelihood Statistics Missing Data Predictive Measurement Predictor Variables Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology Psychometrics Psychometrics. Statistics. Methodology Range Restriction Scores Test Validity Testing Problems |
| title | A Maximum Likelihood Approach to Test Validation with Missing and Censored Dependent Variables |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T06%3A55%3A41IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Maximum%20Likelihood%20Approach%20to%20Test%20Validation%20with%20Missing%20and%20Censored%20Dependent%20Variables&rft.jtitle=Psychometrika&rft.au=Gross,%20Alan%20L&rft.date=1990-09-01&rft.volume=55&rft.issue=3&rft.spage=533&rft.epage=549&rft.pages=533-549&rft.issn=0033-3123&rft.eissn=1860-0980&rft.coden=PSMTA2&rft_id=info:doi/10.1007/BF02294766&rft_dat=%3Cproquest_cross%3E1304595298%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1304595298&rft_id=info:pmid/&rft_ericid=EJ417558&rfr_iscdi=true |