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04256nam a2200757 4500 |
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ocn809041644 |
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OCoLC |
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20170124071854.4 |
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m o d |
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cr cnu---unuuu |
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120904s2011 njua ob 001 0 eng d |
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|z 2010018486
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|a N$T
|b eng
|e pn
|c N$T
|d E7B
|d COO
|d OCLCQ
|d YDXCP
|d EBLCP
|d OCLCQ
|d DG1
|d OCLCF
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|z (OCoLC)880899987
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|z (OCoLC)961537970
|z (OCoLC)962595461
|z (OCoLC)966106065
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4 |
|a QA279
|b .R879 2011eb
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|a MAT
|x 029000
|2 bisacsh
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|a 519.5/38
|2 22
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| 049 |
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|a MAIN
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| 100 |
1 |
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|a Rutherford, Andrew,
|d 1958-
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| 245 |
1 |
0 |
|a ANOVA and ANCOVA :
|b a GLM approach /
|c Andrew Rutherford.
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| 246 |
3 |
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|a Analysis of variance and analysis of covariance :
|b a general linear model approach
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| 250 |
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|a 2nd ed.
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| 264 |
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1 |
|a Hoboken, N.J. :
|b Wiley,
|c [2011]
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| 264 |
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4 |
|c ©2011
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| 300 |
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|a 1 online resource (xiii, 344 pages) :
|b illustrations
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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 computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a data file
|2 rda
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| 380 |
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|a Bibliography
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|a Includes bibliographical references and index.
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0 |
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|a Regression, analysis of variance, and analysis of covariance -- Traditional and GLM approaches to independent measures single factor ANOVA designs -- Comparing experimental condition means, multiple hypothesis testing, type 1 error, and a basic data analysis strategy -- Measures of effect size and strength of association, power, and sample size -- GLM approaches to independent measures factorial designs -- GLM appraoches to related measures designs -- The GLM approach to factorial repeated measures designs -- GLM approaches to factorial mixed measures designs -- The GLM approach to ANCOVA -- Assumptions underlying ANOVA, traditional ANCOVA, and GLMs -- Some alternatives to traditional ANCOVA -- Multilevel analysis for the single factor repeated measures design.
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|a Print version record.
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|a Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one- and two-factor psychological experiments. With its organized and comprehensive presentation, the book successfully guides readers through conventional statistical concepts and how to interpret them in GLM terms, treating the main single- and multi-factor designs as they relate to ANOVA and ANCOVA. The book begins with a brief history of the separate dev.
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| 650 |
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0 |
|a Analysis of variance.
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| 650 |
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0 |
|a Analysis of covariance.
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| 650 |
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0 |
|a Linear models (Statistics)
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| 650 |
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4 |
|a Analysis of covariance.
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| 650 |
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4 |
|a Analysis of variance.
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| 650 |
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4 |
|a Linear models (Statistics)
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| 650 |
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7 |
|a MATHEMATICS
|x Probability & Statistics
|x General.
|2 bisacsh
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| 650 |
|
7 |
|a Analysis of covariance.
|2 fast
|0 (OCoLC)fst00808327
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| 650 |
|
7 |
|a Analysis of variance.
|2 fast
|0 (OCoLC)fst00808330
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| 650 |
|
7 |
|a Linear models (Statistics)
|2 fast
|0 (OCoLC)fst00999084
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| 655 |
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4 |
|a Electronic books.
|
| 655 |
|
7 |
|a Electronic books.
|2 local
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| 776 |
0 |
8 |
|i Print version:
|a Rutherford, Andrew, 1958-
|t ANOVA and ANCOVA.
|b 2nd ed.
|d Hoboken, N.J. : Wiley, ©2011
|z 9780470385555
|w (DLC) 2010018486
|w (OCoLC)615339203
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| 856 |
4 |
0 |
|u https://doi.org/10.1002/9781118491683
|z Full Text via HEAL-Link
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| 994 |
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|a 92
|b DG1
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