Hello.
I have a problem with calculating the p-values for the t-statistics of my path-coefficients.
I know I should refer to the tabled t-distribution, but what about the degrees of freedom? Shouldn't I know how many degrees of freedom I have in order to compute the critical values for the t-distribution in my case?
And if yes, how can I compute the degreees of freedom in my model?
Thank you very much for your precious help!!!
Irene[/b]
p-values for t-statistics: how to compute them?
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p value?
when I use excel(LOI.STUDENT(t-value;999;2) to calculate p value I obtain the following results :
0,010790415
1,6154E-75
0,004651571
1,28578E-16
1,6854E-134
0,038633957
2,0726E-280
0
6,0476E-246
0,000241838
1,2518E-198
9,00554E-72
0,001299928
0,011430339
0,404866285
0,05456066
8,4771E-169
2,8862E-289
0,551344293
0
0,093322527
3,3592E-131
0,346166107
is this correct?
then I have another question: my sample size is 205 so t must be >1.96 ? so p>0.05 why in some papers or thesis I found that some coefficients are significant at 1% or 10% ?? should I validate hypothesis that have a t value lower than 1.96??
thank you for your help
0,010790415
1,6154E-75
0,004651571
1,28578E-16
1,6854E-134
0,038633957
2,0726E-280
0
6,0476E-246
0,000241838
1,2518E-198
9,00554E-72
0,001299928
0,011430339
0,404866285
0,05456066
8,4771E-169
2,8862E-289
0,551344293
0
0,093322527
3,3592E-131
0,346166107
is this correct?
then I have another question: my sample size is 205 so t must be >1.96 ? so p>0.05 why in some papers or thesis I found that some coefficients are significant at 1% or 10% ?? should I validate hypothesis that have a t value lower than 1.96??
thank you for your help
- Diogenes
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- Contact:
Hi,
Yes, it is correct.
1,28578E-16 = 1,28578 * 10 ^ (-16) = 0,000000000000000128578
That it means: p < 0.001
The threshold of 1.96 is based on the number of resamples (usually 1000), not in the sample size.
The cutoff of 10%; 5%; 1%; 0.1% depends on the field of research, effect size, consequences of the type I and type II error.
For more information about this issue, see:
COHEN, J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. New York: Psychology Press, 1988.
MORRISON, D. E.; HENKEL, R. E. (EDS.). The Significance Test Controversy. New Brunswick, NJ: Aldine Transaction, 1970.
MURPHY, K. R.; MYORS, B.; WOLACH, A. Statistical power analysis: a simple and general model for traditional and modern hypothesis tests. 3rd ed. New York: Routledge – Taylor & Francis Group, 2009.
ZILIAK, S. T.; MCCLOSKEY, D. N. The Cult of Statistical Significance: how the standard error costs us jobs, justice, and lives. Ann Arbor, MI: The University of Michigan Press, 2008.
Best regards,
Bido
Yes, it is correct.
1,28578E-16 = 1,28578 * 10 ^ (-16) = 0,000000000000000128578
That it means: p < 0.001
The threshold of 1.96 is based on the number of resamples (usually 1000), not in the sample size.
The cutoff of 10%; 5%; 1%; 0.1% depends on the field of research, effect size, consequences of the type I and type II error.
For more information about this issue, see:
COHEN, J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. New York: Psychology Press, 1988.
MORRISON, D. E.; HENKEL, R. E. (EDS.). The Significance Test Controversy. New Brunswick, NJ: Aldine Transaction, 1970.
MURPHY, K. R.; MYORS, B.; WOLACH, A. Statistical power analysis: a simple and general model for traditional and modern hypothesis tests. 3rd ed. New York: Routledge – Taylor & Francis Group, 2009.
ZILIAK, S. T.; MCCLOSKEY, D. N. The Cult of Statistical Significance: how the standard error costs us jobs, justice, and lives. Ann Arbor, MI: The University of Michigan Press, 2008.
Best regards,
Bido
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- gustavosalati
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FORMULAS IN EXCEL 2010
In Excel 2010, the TDIST function has been replaced by two functions, the T.DIST.RT function (which calculates the right-tailed Student's T-Distribution), and the T.DIST.2T function (calculates the two-tailed Student's T-Distribution).
In my case (portuguese excel), the formulas are:
TDIST=DISTT
T.DIST.RT=DIST.T.CD
T.DIST.2T=DIST.T.BC
In my case (portuguese excel), the formulas are:
TDIST=DISTT
T.DIST.RT=DIST.T.CD
T.DIST.2T=DIST.T.BC
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Re: p-values for t-statistics: how to compute them?
Hi all,
I have a big problem with bootstrapping
I run the algorithm but faced with the following result for all of the roads:
Sample mean: n/a
STD: n/a
the column for T statistics and P-value is empty
what is wrong with my model??
I had 27 samples and the results for measurement model is OK
I have a big problem with bootstrapping
I run the algorithm but faced with the following result for all of the roads:
Sample mean: n/a
STD: n/a
the column for T statistics and P-value is empty
what is wrong with my model??
I had 27 samples and the results for measurement model is OK
- cringle
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Re: p-values for t-statistics: how to compute them?
Do you use SmartPLS 3? In SmartPLS 3, use bootstrapping and the BCa option, "basic", no sign changes, and 5,000 subsamples. Then, you would not interpret the bias-corrected confidence intervals.
Best regards
Christian
Best regards
Christian
Prof. Dr. Christian M. Ringle, Hamburg University of Technology (TUHH), SmartPLS
- Literature on PLS-SEM: https://www.smartpls.com/documentation
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- Literature on PLS-SEM: https://www.smartpls.com/documentation
- Google Scholar: https://scholar.google.de/citations?use ... AAAJ&hl=de