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Spss program for windows version 16

Manufactured by IBM
Sourced in United States

SPSS Statistics 16.0 for Windows is a software program designed for statistical analysis. It provides tools for data management, analysis, and presentation. The program allows users to perform a variety of statistical procedures, including descriptive statistics, regression analysis, and hypothesis testing. SPSS Statistics 16.0 is designed to work on the Windows operating system.

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5 protocols using spss program for windows version 16

1

Statistical Analysis of Gaussian Distributions

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The SPSS program for Windows, version 16 (SPSS Inc., Chicago, IL, USA) was used for statistical analysis. The Kolmogorov-Smirnov test was used to evaluate the Gaussian distributions of the variables. The data were analyzed using Student’s t-test for variables with parametric distributions and the Mann-Whitney test for variables with nonparametric distributions. Correlations were determined using Spearman’s rank correlation coefficient. The data are reported as the mean and standard error of the mean (SEM) or and the median and minimum and maximum values. Non-numerical data were analyzed in 2 x 2 contingency tables with Fisher’s exact test using Prism software (GraphPad Prism version 6.01). P-value < 0.05 was considered significant.
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2

Statistical Analysis of Experimental Data

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The data was statistically treated by one-way ANOVA using SPSS program for windows (Version 16) (SPSS Inc. Chicago, IL, and USA) and Duncan's post hoc test with p < 0.05 considered to be statistically significant.
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3

Assessing Epilepsy Knowledge and Attitudes

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Analysis of data was carried out using the “Statistical Package for Social Sciences” (SPSS) program for Windows version 16.0 (SPSS Inc., Chicago, IL). Continuous variables such as age were expressed as the range and median, whereas categorical variables were presented as frequencies (%). Chi-square test was used to examine the association between responses and each demographic variable in a Univariate analysis. Significance level was set at P < 0.05. The variables that were statistically significant on Univariate analysis were subjected to multiple logistic regression to identify independent predictors of knowledge or attitude.
Correct responses to questions on knowledge were given a score of one point if answered correctly. No point was given for wrong answers. Based on this grading, a total of 30 points were allocated to the section on knowledge about epilepsy, such that those who scored 21-30 points were considered as having good knowledge, 21-30 points had fair knowledge, while a score of 0-10 points was considered as representing poor knowledge or a score of > 10 (fair to good knowledge and = 10 (poor knowledge). Attitudes such as fear, avoidance, anger, suspicion, mistrust, hostility were considered negative, whereas sympathetic attitude, willingness to care for epileptics and tolerance were considered positive attitudes [6 ].
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4

Statistical Analysis of Survival Data

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Statistical analyses used the SPSS program for Windows (version 16.0). Comparisons of proportions and ranks of variables between groups were performed by chi-squared-test, Fisher exact test or Student t-test. Kaplan-Meier survival estimates were constructed and differences compared by log-rank test. An effect was considered statistically significant at P < 0.05. P-values were two sided.
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5

Comparative Analysis of Experimental Groups

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The results were presented as mean ± SE. One-way analysis of variance (ANOVA) was used followed by post hoc test (Tukey) to detect a significant difference among groups. These analyses were conducted using the SPSS program for Windows, version 16.0 (Borenstein et al. 1997 ). Differences between and among the groups were considered significant at p ≤ 0.05.
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