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20200904152719.0 |
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960307s1993 xx a bm 000 0 eng d |
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|a (OCoLC)ocm34326971
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| 035 |
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|9 AGX0310AM
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| 040 |
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|a TXA
|b eng
|c TXA
|d OCLCQ
|d TXA
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| 035 |
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|a (OCoLC)34326971
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| 049 |
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|a TXAM
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| 099 |
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|a 1993
|a Dissertation
|a R3244
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| 100 |
1 |
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|a Reed, Judy Louise,
|d 1962-
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| 245 |
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|a The effects of selected methods of detecting and accommodating for outliers when applied to motor performance data /
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| 264 |
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|c 1993.
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| 300 |
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|a xii, 326 leaves :
|b illustrations ;
|c 28 cm
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a unmediated
|b n
|2 rdamedia
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| 338 |
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|a volume
|b nc
|2 rdacarrier
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| 504 |
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|a Includes bibliographical references.
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| 500 |
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|a Vita.
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| 502 |
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|b Ph. D.
|c Texas A & M University
|d 1993
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| 500 |
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|a "Major subject: Kinesiology."
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| 520 |
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|a The purpose of this study was to investigate the effects of selected methods of detecting and accommodating for outliers when applied to an authentic set of motor learning data. Specific purposes were to determine if utilization of the selected outlier identification techniques resulted in the differential detection of spurious observations and to determine if the application of the selected methods to accommodate for the identified outliers results in changes in experimental efficiency. The data were obtained in an experiment using a 2 (Practice Schedule) X 3 (Processing Type) X 7 (Trial Block) multivariate mixed model with repeated measures on the last factor. Initial response time (RT), movement time (MT), and the number of errors (ERR) committed were measured during seven trial blocks. Separate analyses were conducted for RT and MT during acquisition, RT and MT during retention, ERR during acquisition, and ERR during retention. Boxplot rules, the 4-sigma region, and separate statistical tests were utilized to detect aberrant observations. Differences among the identification techniques were determined by comparing the specific observations identified as outliers. The results of the comparisons indicated that the identification of a particular data point as an outlier is dependent on the method used to identify spurious observations. Several observations were identified as outliers by three or more detection techniques. Specifically, four RTs, eight MTs, and two ERR scores were identified as outliers by three or more of the outlier detection procedures. Deletion, trimming, and winsorization were selected to accommodate the identified outliers. Comparisons between the analysis of the full data set were made to the analyses subsequently performed when the identified outliers were accommodated. Forty-two new data sets were formed based on the handling of specific observations identified as outliers. The results of the comparisons indicated that the utilization of the selected accommodation procedures effectuated changes in the error mean squares, the obtained test statistics and associated probability levels, and the overall decisions.
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| 650 |
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|a Major kinesiology.
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| 655 |
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|a Academic theses
|2 lcgft
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| 700 |
1 |
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|a Tolson, Homer,
|e degree supervisor.
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| 700 |
1 |
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|a Chevrette, John,
|e degree committee member.
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| 700 |
1 |
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|a Elledge, Jerry,
|e degree committee member.
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| 700 |
1 |
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|a LeUnes, Arnold,
|e degree committee member.
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| 710 |
2 |
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|a Texas A & M University,
|e degree granting institution.
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| 856 |
4 |
1 |
|x http://hdl.handle.net/1969.1/DISSERTATIONS-1520432
|z Link to OAKTrust copy
|t 0
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| 856 |
4 |
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|u http://proxy.library.tamu.edu/login?url=http://proquest.umi.com/pqdweb?did=744720251&sid=1&Fmt=2&clientId=2945&RQT=309&VName=PQD
|z Link to OAKTrust copy
|t 0
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| 994 |
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|a C0
|b TXA
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| 952 |
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|p noncirc
|a Texas A&M University
|b J.J. Pickle Campus
|c High Density Repository
|s HDR
|d Remote Storage
|t 0
|e 1993 Dissertation R3244
|h Other scheme
|i unmediated -- volume
|m A14841053572
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| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
|t 0
|e 1993 Dissertation R3244
|h Other scheme
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| 998 |
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f |
|a 1993 Dissertation R3244
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|l Available Online
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| 998 |
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|a 1993 Dissertation R3244
|t 0
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