A New Diagnostics Approach for Repeated Measures Designs
The traditional univariate analysis of the repeated measures design is obtained by treating subjects and their associated interactions as random effects. This analysis requires that certain variances and covariances of the dependent variable at various combinations of within-subject factors are equa...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Report |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | Grynovicki, Jock O |
| description | The traditional univariate analysis of the repeated measures design is obtained by treating subjects and their associated interactions as random effects. This analysis requires that certain variances and covariances of the dependent variable at various combinations of within-subject factors are equal. Instability of the variance and covariance components may mask significant effects and may compel the researcher to use a less powerful multivariate technique. The number of subjects required in the multivariate approach is a function of the number of dependent variables and levels of the within-subject factors. Thus, the researcher may be forced to use a conservative degree-of-freedom adjustment instead, which may mask significant results if subject availability is limited. |
| format | Report |
| fullrecord | <record><control><sourceid>dtic_1RU</sourceid><recordid>TN_cdi_dtic_stinet_ADA223500</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>ADA223500</sourcerecordid><originalsourceid>FETCH-dtic_stinet_ADA2235003</originalsourceid><addsrcrecordid>eNrjZLBwVPBLLVdwyUxMz8svLslMLlZwLCgoyk9MzlBIyy9SCEotSE0sSU1R8E1NLC4tSi1WcEktzkzPK-ZhYE1LzClO5YXS3Awybq4hzh66KUBD4oEm5aWWxDu6OBoZGZsaGBgTkAYA5MMqpw</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>report</recordtype></control><display><type>report</type><title>A New Diagnostics Approach for Repeated Measures Designs</title><source>DTIC Technical Reports</source><creator>Grynovicki, Jock O</creator><creatorcontrib>Grynovicki, Jock O ; HUMAN ENGINEERING LAB ABERDEEN PROVING GROUND MD</creatorcontrib><description>The traditional univariate analysis of the repeated measures design is obtained by treating subjects and their associated interactions as random effects. This analysis requires that certain variances and covariances of the dependent variable at various combinations of within-subject factors are equal. Instability of the variance and covariance components may mask significant effects and may compel the researcher to use a less powerful multivariate technique. The number of subjects required in the multivariate approach is a function of the number of dependent variables and levels of the within-subject factors. Thus, the researcher may be forced to use a conservative degree-of-freedom adjustment instead, which may mask significant results if subject availability is limited.</description><language>eng</language><subject>ANALYSIS OF VARIANCE ; ASH70 ; AVAILABILITY ; COVARIANCE ; DIAGNOSIS(GENERAL) ; Human Factors Engineering & Man Machine System ; MATHEMATICAL MODELS ; MULTIVARIATE ANALYSIS ; PE62716A ; REPEATED MEASURES DESIGNS ; STABILITY ; Statistics and Probability ; UNIVARIATE ANALYSIS ; VARIATIONS ; Voice Communications</subject><creationdate>1990</creationdate><rights>Approved for public release; distribution is unlimited.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,778,883,27554,27555</link.rule.ids><linktorsrc>$$Uhttps://apps.dtic.mil/sti/citations/ADA223500$$EView_record_in_DTIC$$FView_record_in_$$GDTIC$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Grynovicki, Jock O</creatorcontrib><creatorcontrib>HUMAN ENGINEERING LAB ABERDEEN PROVING GROUND MD</creatorcontrib><title>A New Diagnostics Approach for Repeated Measures Designs</title><description>The traditional univariate analysis of the repeated measures design is obtained by treating subjects and their associated interactions as random effects. This analysis requires that certain variances and covariances of the dependent variable at various combinations of within-subject factors are equal. Instability of the variance and covariance components may mask significant effects and may compel the researcher to use a less powerful multivariate technique. The number of subjects required in the multivariate approach is a function of the number of dependent variables and levels of the within-subject factors. Thus, the researcher may be forced to use a conservative degree-of-freedom adjustment instead, which may mask significant results if subject availability is limited.</description><subject>ANALYSIS OF VARIANCE</subject><subject>ASH70</subject><subject>AVAILABILITY</subject><subject>COVARIANCE</subject><subject>DIAGNOSIS(GENERAL)</subject><subject>Human Factors Engineering & Man Machine System</subject><subject>MATHEMATICAL MODELS</subject><subject>MULTIVARIATE ANALYSIS</subject><subject>PE62716A</subject><subject>REPEATED MEASURES DESIGNS</subject><subject>STABILITY</subject><subject>Statistics and Probability</subject><subject>UNIVARIATE ANALYSIS</subject><subject>VARIATIONS</subject><subject>Voice Communications</subject><fulltext>true</fulltext><rsrctype>report</rsrctype><creationdate>1990</creationdate><recordtype>report</recordtype><sourceid>1RU</sourceid><recordid>eNrjZLBwVPBLLVdwyUxMz8svLslMLlZwLCgoyk9MzlBIyy9SCEotSE0sSU1R8E1NLC4tSi1WcEktzkzPK-ZhYE1LzClO5YXS3Awybq4hzh66KUBD4oEm5aWWxDu6OBoZGZsaGBgTkAYA5MMqpw</recordid><startdate>199006</startdate><enddate>199006</enddate><creator>Grynovicki, Jock O</creator><scope>1RU</scope><scope>BHM</scope></search><sort><creationdate>199006</creationdate><title>A New Diagnostics Approach for Repeated Measures Designs</title><author>Grynovicki, Jock O</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-dtic_stinet_ADA2235003</frbrgroupid><rsrctype>reports</rsrctype><prefilter>reports</prefilter><language>eng</language><creationdate>1990</creationdate><topic>ANALYSIS OF VARIANCE</topic><topic>ASH70</topic><topic>AVAILABILITY</topic><topic>COVARIANCE</topic><topic>DIAGNOSIS(GENERAL)</topic><topic>Human Factors Engineering & Man Machine System</topic><topic>MATHEMATICAL MODELS</topic><topic>MULTIVARIATE ANALYSIS</topic><topic>PE62716A</topic><topic>REPEATED MEASURES DESIGNS</topic><topic>STABILITY</topic><topic>Statistics and Probability</topic><topic>UNIVARIATE ANALYSIS</topic><topic>VARIATIONS</topic><topic>Voice Communications</topic><toplevel>online_resources</toplevel><creatorcontrib>Grynovicki, Jock O</creatorcontrib><creatorcontrib>HUMAN ENGINEERING LAB ABERDEEN PROVING GROUND MD</creatorcontrib><collection>DTIC Technical Reports</collection><collection>DTIC STINET</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Grynovicki, Jock O</au><aucorp>HUMAN ENGINEERING LAB ABERDEEN PROVING GROUND MD</aucorp><format>book</format><genre>unknown</genre><ristype>RPRT</ristype><btitle>A New Diagnostics Approach for Repeated Measures Designs</btitle><date>1990-06</date><risdate>1990</risdate><abstract>The traditional univariate analysis of the repeated measures design is obtained by treating subjects and their associated interactions as random effects. This analysis requires that certain variances and covariances of the dependent variable at various combinations of within-subject factors are equal. Instability of the variance and covariance components may mask significant effects and may compel the researcher to use a less powerful multivariate technique. The number of subjects required in the multivariate approach is a function of the number of dependent variables and levels of the within-subject factors. Thus, the researcher may be forced to use a conservative degree-of-freedom adjustment instead, which may mask significant results if subject availability is limited.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_dtic_stinet_ADA223500 |
| source | DTIC Technical Reports |
| subjects | ANALYSIS OF VARIANCE ASH70 AVAILABILITY COVARIANCE DIAGNOSIS(GENERAL) Human Factors Engineering & Man Machine System MATHEMATICAL MODELS MULTIVARIATE ANALYSIS PE62716A REPEATED MEASURES DESIGNS STABILITY Statistics and Probability UNIVARIATE ANALYSIS VARIATIONS Voice Communications |
| title | A New Diagnostics Approach for Repeated Measures Designs |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T04%3A42%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-dtic_1RU&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=unknown&rft.btitle=A%20New%20Diagnostics%20Approach%20for%20Repeated%20Measures%20Designs&rft.au=Grynovicki,%20Jock%20O&rft.aucorp=HUMAN%20ENGINEERING%20LAB%20ABERDEEN%20PROVING%20GROUND%20MD&rft.date=1990-06&rft_id=info:doi/&rft_dat=%3Cdtic_1RU%3EADA223500%3C/dtic_1RU%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |