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Spss 17.0

Manufactured by IBM

SPSS 17.0 is a statistical software package developed by IBM. It provides data analysis, data management, and data visualization capabilities. The core function of SPSS 17.0 is to enable users to perform a variety of statistical analyses on their data, including descriptive statistics, regression analysis, and hypothesis testing.

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Lab products found in correlation

2 protocols using spss 17.0

1

Validating Psychometric Properties of PCSCCS-M

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SPSS 17.0 IBM was used to perform the data analysis. The internal consistency and homogeneity of the PCSCCS-M were assessed using Cronbach’s alpha. The concurrent validity between the PCSCCS-M and the C-SCGS was assessed by Pearson’s correlation coefficient. Item analysis was performed using the following analyses: (a) extreme group comparison (item discrimination, an item should be able to discriminate between the upper 27% and lower 27% scoring groups) [32 (link)]; (b) corrected item-total correlations; (c) factor loadings; (d) Cronbach’s alpha if an item was deleted; (e) and communities. Items with a criterial value (CR) < 3.0, a corrected item-total correlation < 0.30, factor loading < 0.45, and a community < 0.20 and whose deletion caused an increase of 0.5 or more in the alpha coefficient for the overall scale were excluded.
The construct validity of the PCSCCS-M was analyzed by EFA. Prior to the EFA, the Kaiser-Meyer-Olkin (KMO) test and Bartlett’s spherical test were performed. The criterion for factor extraction was an eigenvalue > 1.0 and a factor loading > 0.40.
CFA was conducted using AMOS, version 20.0, to further evaluate the validity of the PCSCCS-M.
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2

Predictive Power of CTCs in Cancer

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SPSS17.0 IBM software was used to conduct statistical analysis. Nonparametric tests including Mann–Whitney U test (for binary variables) and Kruskal–Wallis H test (for ranked data) were used to assess the predictive power of the levels of TCTCs and subpopulations of CTCs in different clinical pathologic characteristics (α=0.05, P<0.05). Median and interquartile range were used to describe variability. The significance of the TCTCs, the three CTC subpopulations, the clinical characteristics, and the therapeutic regimens to OS on 200th day was analyzed using the univariate Cox regression analysis (α=0.05, P<0.05). Significant parameters in univariate Cox regression analysis were subjected to multivariate Cox regression analysis. Bivariate correlation analysis was performed to study the association between the levels of CTCs and T-cell–mediated immunity (P<0.05).
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