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Response process validity evidence, although not directly ascertained, is likely to be adequate as students are familiar with the survey format and as a professional survey research center administered the web-based survey and electronically transferred data into a format analyzable by our statistical software, thereby minimizing data entry error and ensuring quality control.
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Follow the instructions provided by your statistical software program to conduct a retrospective analysis of statistical power on your data.
The data were analyzed by DPS statistical software and p < 0.05 was considered to be statistically significant.
To help categorize specific cell lines as either sensitive or resistant, we followed a methodology previously used by our group using the statistical software package, SAS 9.1 (SAS Institute, Cary, NC) [ 9].
The data obtained were statistically analyzed by using origin statistical software (version 6.0).
The results were analyzed and compared by SAS statistical software.
The statistical analysis of the data was carried out by SPSS statistical software.
We analyzed data by commercial statistical software (SPSS for Windows, version 11.0, SPSS Ltd., Chicago, IL).
All dates were processed by SPSS statistical software package release 16.0 (SPSS Inc., Chicago, IL, USA).
Model equations of responses at the base of parameters were achieved by using statistical software.
A wider use of these models should be obtained by teaching them in statistical classes and by using statistical software including them like R or SAS®.
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