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Spanish to English translations [PRO] Medical  Medical (general) 

Spanish term or phrase: Coeficiente de esfericidad de Bartlett  En primer lugar, se exploró la matriz de correlaciones entre los ítems, como resultado de este proceso se obtuvo que la base de datos es óptima para ser procesada mediante análisis factorial (KMO: 0.543, Coeficiente de esfericidad de Bartlett: X2= 102.8, gl: 21, p=0,00) 
 translation300KudoZ activityQuestions: 97 (none open) ( 3 without valid answers) ( 3 closed without grading) Answers: 0
 Local time: 03:32

 Bartlett's sphericity coefficient  Explanation: http://www.visualstatistics.net/Visual Statistics Multimedia...
 Note added at 17 mins (20080420 14:09:56 GMT) 
6. CORRELATION MATRIX MODULE
Requires: DATA BASE MODULE
Capacity: Up to 120 Variables .
Means and Standard Deviations
Sums of squares and cross products
Corrected sums of squares and cross products (Dispersion Matrix)
Correlation Matrix
Bartlett's Sphericity Test
Multiple R^2 of each variable with others
 Note added at 17 mins (20080420 14:10:37 GMT) 
"Another indicator of the strength of the relationship among variables is Bartlett's test of sphericity. Bartlett's test of sphericity is used to test the null hypothesis that the variables in the population correlation matrix are uncorrelated. "
 Note added at 19 mins (20080420 14:11:58 GMT) 
"KaiserMeyerOlkin (KMO) measures and Bartlett's sphericity test showed that the samples met the criteria for factor analysis. " Blackwell http://www.blackwellsynergy.com/doi/abs/10.1046/j.15251446...
 Note added at 20 mins (20080420 14:12:52 GMT) 
"Barlett's test of sphericity showed inconsistent results. Both Bartlett's test of homogeneity of the correlation matrix and Lawley's test are limited to testing for only one and two dimensions, respectively."
http://www.citeulike.org/user/jmeppley/article/2215924
 Note added at 22 mins (20080420 14:14:51 GMT) 
"Table 1 presents the results of the KaiserMeyerOlkin (KMO) and Bartlett’s Test. Tabachnick and Fidell (1996) stated that “Bartlett’s (1954) test of sphericity is a notoriously sensitive test of the hypothesis that the correlations in a correlation matrix are zero.”
http://www.unb.ca/naweb/proceedings/2003/PaperChiu.html 
 Selected response from: Taylor Kirk Local time: 02:32
 Grading comment Thank you 4 KudoZ points were awarded for this answer 
 
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Automatic update in 00:

16 mins confidence: peer agreement (net): +3 Bartlett's sphericity coefficient
Explanation: http://www.visualstatistics.net/Visual Statistics Multimedia...
 Note added at 17 mins (20080420 14:09:56 GMT) 
6. CORRELATION MATRIX MODULE
Requires: DATA BASE MODULE
Capacity: Up to 120 Variables .
Means and Standard Deviations
Sums of squares and cross products
Corrected sums of squares and cross products (Dispersion Matrix)
Correlation Matrix
Bartlett's Sphericity Test
Multiple R^2 of each variable with others
 Note added at 17 mins (20080420 14:10:37 GMT) 
"Another indicator of the strength of the relationship among variables is Bartlett's test of sphericity. Bartlett's test of sphericity is used to test the null hypothesis that the variables in the population correlation matrix are uncorrelated. "
 Note added at 19 mins (20080420 14:11:58 GMT) 
"KaiserMeyerOlkin (KMO) measures and Bartlett's sphericity test showed that the samples met the criteria for factor analysis. " Blackwell http://www.blackwellsynergy.com/doi/abs/10.1046/j.15251446...
 Note added at 20 mins (20080420 14:12:52 GMT) 
"Barlett's test of sphericity showed inconsistent results. Both Bartlett's test of homogeneity of the correlation matrix and Lawley's test are limited to testing for only one and two dimensions, respectively."
http://www.citeulike.org/user/jmeppley/article/2215924
 Note added at 22 mins (20080420 14:14:51 GMT) 
"Table 1 presents the results of the KaiserMeyerOlkin (KMO) and Bartlett’s Test. Tabachnick and Fidell (1996) stated that “Bartlett’s (1954) test of sphericity is a notoriously sensitive test of the hypothesis that the correlations in a correlation matrix are zero.”
http://www.unb.ca/naweb/proceedings/2003/PaperChiu.html
 Taylor Kirk Local time: 02:32 Works in field Native speaker of: English PRO pts in category: 32

  
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2 hrs confidence: peer agreement (net): +1 Bartlett's test of sphericity
Explanation: [PDF]
Booklet 04/04
File Format: PDF/Adobe Acrobat  View as HTML
Bartlett's test of sphericity was significant (1124.395, p = ... Cronbach's alpha coefficient of internal consistency was high in all three cases (with ...
www.brad.ac.uk/acad/management/external/pdf/workingpapers/2...  Similar pages
 Note added at 4 hrs (20080420 18:03:41 GMT) 
Can I also suggest that is is very possible that there is an error in the source test.
Just try and find "coeficiente de esfericidad de Bartlett"  Have only found ONE reference to this, on a Colombian site (probably your text), so I am wondering whether this is an error.
I did find:
distributed all variance in the items to the factors  que ...
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La prueba de esfericidad de Bartlett (χ2= 10.271,567; p< 0001) y el coeficiente de KMO (0934) nos permiten aceptar que las variables de Fuentes de Estrés no ...
www.proz.com/kudoz/2225914  31k  Cached  Similar pages
 Note added at 4 hrs (20080420 18:04:33 GMT) 
It is quite likely they are talking about "coeficiente de correlación"
Instituto Nacional de Ecología
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15 Nov 2007 ... Posteriormente se utiliza el Test de esfericidad de Bartlett para estudiar el valor de los coeficientes de correlación y para verificar si ...
www.ine.gob.mx/publicaciones/libros/432/tlaxcala.html  77k  Cached  Similar pages
 Note added at 4 hrs (20080420 18:05:27 GMT) 
The application a repeatedmeasures design a Malaysian timeuse study
Bartlett's test of sphericity was used to test the. hypothesis that the variables TI and. T2. are. correlated. Table. 2. shows the correlation coefficients ...
www.blackwellsynergy.com/doi/abs/10.1111/j.14706431.1994....  Similar pages
 Note added at 4 hrs (20080420 18:06:04 GMT) 
CORRELATION MATRIX INFORMATION
Reproduced  The estimated correlation matrix from the factor solution. Residuals (differences between
observed and reproduced correlations) are also displayed.
Antiimage  The antiimage correlation matrix contains the negatives of the partial correlation coefficients, and
the antiimage covariance matrix contains the negatives of the partial covariances. Most of the off
diagonal elements should be small in a good factor model.
KMO and Bartlett's test of sphericity  The KaiserMeyerOlkin measure of sampling adequacy tests whether
the partial correlations among items are small. Bartlett's test of sphericity tests whether the correlation
matrix is an identity matrix, which would indicate that the factor model is inappropriate.
 Note added at 4 hrs (20080420 18:07:46 GMT) 
http://64.233.183.104/search?q=cache:pKuGnHoT9eYJ:findarticl...
Use of PCA for the data on antecedents was supported. Bartlett's test of sphericity was significant ([X.sup.2] = 195.277, p [less than].0001), indicating that the coefficients in the correlation matrix were different from zero and did not likely occur as a function of chance. Further, the total matrix sampling adequacy of all antecedent items, an index of the extent to which the matrix of partial and multiple correlation coefficients conforms to zero partials and large multiple rs, was found to be satisfactory (.633). A common standard is for this value to be greater than .500; however, Tabachnick and Fidell (1989) specify a higher standard of .600. In addition, sampling adequacy for individual antecedent items exceeded .500 for two variables, with all remaining variables exceeding .600.
Initially, components extracted and retained for further analysis were selected based on the larger of the numbers determined by a 75% variance rule and root curve analysis. The 75% variance criterion dictates that when the sum of the proportionate contributions of the eigenvalues exceeds 75%, components are no longer retained in the final solution. The rootsgreaterthanone criterion retains as many components as there are eigenvalues greater than or equal to one. This procedure extracted four components from ten antecedent variables. The next step in the analysis was to compare the utility of one, two, three, and fourcomponent models in accounting for the interrelations of the ten antecedent items.
Models consisting of one, two, and three components were developed. Both orthogonal and oblique rotations were performed with each model. Variables jeopardizing the pursuit of a relatively simple structure by substantial loadings on more than one factor were closely examined; subsequently, two (antecedent items 5 and 8) were dropped from the PCA. A fourcomponent solution (eight variables) was selected after considering several psychometric criteria, including correlation matrices, partial correlation matrices, test for sphericity, sampling adequacy, differences in adjacent eigenvalues, differences in the amount of variance accounted for by adjacent components, the internal consistency of the components, component loadings, the scree plot of eigenvalues, both orthogonal and oblique component plots, and perhaps most important, the identification and interpretability of logical subgroupings. Internal consistency, as estimated by Cronbach's alpha for the eight variables retained in the fourcomponent solution, was .65, which was above the lower limits of acceptability (generally considered to be around .50 to .60).
 Note added at 4 hrs (20080420 18:10:49 GMT) 
So
I am suggesting
Bartlett's test of sphericity correlation coefficient
PDF]
I N D I C E
File Format: PDF/Adobe Acrobat
... Bartlett (1950), cuyos resultados. indicaron que la matriz de coeficientes de correlación era significativamente ... Prueba de esfericidad de. Bartlett ...
fondosdigitales.us.es/public_thesis/375/8852.pdf  Similar pages
 liz askew United Kingdom Local time: 09:32 Specializes in field Native speaker of: English PRO pts in category: 3288

 
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Apr 24, 2008  Changes made by Taylor Kirk:  Created KOG entry  KudoZ term » KOG term 
 
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