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Analysis of Variance: What Is Your Statistical Software Actually Doing?

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Title: Analysis of Variance: What Is Your Statistical Software Actually Doing?
Authors: Li, Jian (AUTHOR), Lomax, RichardG. (AUTHOR)
Source: Journal of Experimental Education. 2011, Vol. 79 Issue 3, p279-294. 16p. 5 Charts.
Subjects: Integrated software, SAS (Computer program language), Analysis of variance, Analysis of covariance, Syntax (Grammar)
Abstract: Users assume statistical software packages produce accurate results. In this article, the authors systematically examined Statistical Package for the Social Sciences (SPSS) and Statistical Analysis System (SAS) for 3 analysis of variance (ANOVA) designs, mixed-effects ANOVA, fixed-effects analysis of covariance (ANCOVA), and nested ANOVA. For each model, the authors examined 3 different data sets. With the mixed-effects design, results were always correct for SPSS syntax and SAS syntax. For SPSS point-and-click, the F and p values for the random-effect were always incorrect as the wrong error term is used. With the ANCOVA design, results varied both by software package and by type of sums of squares. With the nested design, the p values for the F and multiple comparison procedure did not agree for the nonnested factor in SPSS point-and-click. Recommendations were made regarding which package to use for each design. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Experimental Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Analysis of Variance: What Is Your Statistical Software Actually Doing?
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  Data: <searchLink fieldCode="AR" term="%22Li%2C+Jian%22">Li, Jian</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lomax%2C+RichardG%2E%22">Lomax, RichardG.</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Experimental+Education%22">Journal of Experimental Education</searchLink>. 2011, Vol. 79 Issue 3, p279-294. 16p. 5 Charts.
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  Data: <searchLink fieldCode="DE" term="%22Integrated+software%22">Integrated software</searchLink><br /><searchLink fieldCode="DE" term="%22SAS+%28Computer+program+language%29%22">SAS (Computer program language)</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+variance%22">Analysis of variance</searchLink><br /><searchLink fieldCode="DE" term="%22Analysis+of+covariance%22">Analysis of covariance</searchLink><br /><searchLink fieldCode="DE" term="%22Syntax+%28Grammar%29%22">Syntax (Grammar)</searchLink>
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  Data: Users assume statistical software packages produce accurate results. In this article, the authors systematically examined Statistical Package for the Social Sciences (SPSS) and Statistical Analysis System (SAS) for 3 analysis of variance (ANOVA) designs, mixed-effects ANOVA, fixed-effects analysis of covariance (ANCOVA), and nested ANOVA. For each model, the authors examined 3 different data sets. With the mixed-effects design, results were always correct for SPSS syntax and SAS syntax. For SPSS point-and-click, the F and p values for the random-effect were always incorrect as the wrong error term is used. With the ANCOVA design, results varied both by software package and by type of sums of squares. With the nested design, the p values for the F and multiple comparison procedure did not agree for the nonnested factor in SPSS point-and-click. Recommendations were made regarding which package to use for each design. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Experimental Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/00220973.2010.481684
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      – Code: eng
        Text: English
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        PageCount: 16
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      – SubjectFull: Integrated software
        Type: general
      – SubjectFull: SAS (Computer program language)
        Type: general
      – SubjectFull: Analysis of variance
        Type: general
      – SubjectFull: Analysis of covariance
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      – SubjectFull: Syntax (Grammar)
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      – TitleFull: Analysis of Variance: What Is Your Statistical Software Actually Doing?
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