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gung - Reinstate Monica
gung - Reinstate Monica
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Chi Is chi-Squaredsquared always a one-sided test?

A published article (pdf) contains these 2 sentences:

"Moreover, misreporting may be caused by the application of incorrect rules or by a lack of knowledge of the statistical test. For example, the total df in an ANOVA may be taken to be the error df in the reporting of an F test, or the researcher may divide the reported p value of a $\chi^2$ or F test by two, in order to obtain a one-sided p value, whereas the p value of a $\chi^2$ or F test is already a one-sided test." Source: http://wicherts.socsci.uva.nl/BakkerWicherts2011.pdf

Moreover, misreporting may be caused by the application of incorrect rules or by a lack of knowledge of the statistical test. For example, the total df in an ANOVA may be taken to be the error df in the reporting of an $F$ test, or the researcher may divide the reported p value of a $\chi^2$ or $F$ test by two, in order to obtain a one-sided $p$ value, whereas the $p$ value of a $\chi^2$ or $F$ test is already a one-sided test.

Why might they have said that? Chi The chi-Squaredsquared test is a two-sided test. (I have asked one of the authors, but gotten no response.)

Am I overlooking something?

Thanks.

Chi-Squared always a one-sided test?

A published article contains these 2 sentences:

"Moreover, misreporting may be caused by the application of incorrect rules or by a lack of knowledge of the statistical test. For example, the total df in an ANOVA may be taken to be the error df in the reporting of an F test, or the researcher may divide the reported p value of a $\chi^2$ or F test by two, in order to obtain a one-sided p value, whereas the p value of a $\chi^2$ or F test is already a one-sided test." Source: http://wicherts.socsci.uva.nl/BakkerWicherts2011.pdf

Why might they have said that? Chi-Squared is a two-sided test. (I have asked one of the authors, but gotten no response.)

Am I overlooking something?

Thanks.

Is chi-squared always a one-sided test?

A published article (pdf) contains these 2 sentences:

Moreover, misreporting may be caused by the application of incorrect rules or by a lack of knowledge of the statistical test. For example, the total df in an ANOVA may be taken to be the error df in the reporting of an $F$ test, or the researcher may divide the reported p value of a $\chi^2$ or $F$ test by two, in order to obtain a one-sided $p$ value, whereas the $p$ value of a $\chi^2$ or $F$ test is already a one-sided test.

Why might they have said that? The chi-squared test is a two-sided test. (I have asked one of the authors, but gotten no response.)

Am I overlooking something?

added tag & mathjax for chi-squared
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gung - Reinstate Monica
gung - Reinstate Monica
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  • 717

Chi-SquareSquared always a one-sided test?

A published article contains these 2 sentences:

"Moreover, misreporting may be caused by the application of incorrect rules or by a lack of knowledge of the statistical test. For example, the total df in an ANOVA may be taken to be the error df in the reporting of an F test, or the researcher may divide the reported p value of a χ2$\chi^2$ or F test by two, in order to obtain a one-sided p value, whereas the p value of a χ2$\chi^2$ or F test is already a one-sided test." Source: http://wicherts.socsci.uva.nl/BakkerWicherts2011.pdf

Why might they have said that? Chi-SquareSquared is a two-sided test. (I have asked one of the authors, but gotten no response.)

Am I overlooking something?

Thanks.

Chi-Square always a one-sided test?

A published article contains these 2 sentences:

"Moreover, misreporting may be caused by the application of incorrect rules or by a lack of knowledge of the statistical test. For example, the total df in an ANOVA may be taken to be the error df in the reporting of an F test, or the researcher may divide the reported p value of a χ2 or F test by two, in order to obtain a one-sided p value, whereas the p value of a χ2 or F test is already a one-sided test." Source: http://wicherts.socsci.uva.nl/BakkerWicherts2011.pdf

Why might they have said that? Chi-Square is a two-sided test. (I have asked one of the authors, but gotten no response.)

Am I overlooking something?

Thanks.

Chi-Squared always a one-sided test?

A published article contains these 2 sentences:

"Moreover, misreporting may be caused by the application of incorrect rules or by a lack of knowledge of the statistical test. For example, the total df in an ANOVA may be taken to be the error df in the reporting of an F test, or the researcher may divide the reported p value of a $\chi^2$ or F test by two, in order to obtain a one-sided p value, whereas the p value of a $\chi^2$ or F test is already a one-sided test." Source: http://wicherts.socsci.uva.nl/BakkerWicherts2011.pdf

Why might they have said that? Chi-Squared is a two-sided test. (I have asked one of the authors, but gotten no response.)

Am I overlooking something?

Thanks.

Tweeted twitter.com/#!/StackStats/status/166574322905923585
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Joel W.
Joel W.
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Chi-Square always a one-sided test?

A published article contains these 2 sentences:

"Moreover, misreporting may be caused by the application of incorrect rules or by a lack of knowledge of the statistical test. For example, the total df in an ANOVA may be taken to be the error df in the reporting of an F test, or the researcher may divide the reported p value of a χ2 or F test by two, in order to obtain a one-sided p value, whereas the p value of a χ2 or F test is already a one-sided test." Source: http://wicherts.socsci.uva.nl/BakkerWicherts2011.pdf

Why might they have said that? Chi-Square is a two-sided test. (I have asked one of the authors, but gotten no response.)

Am I overlooking something?

Thanks.