The laboratory experiments were laid out in completely randomized design in ten replications. Glasshouse experiments were laid out in complete randomized block design in ten replications and the data were subjected to analysis of variance and least significant difference (LSD) at p ≤ 0.05 using statistical package for Social Sciences Version 16.0 program (SPSS Inc., 2007 ). Data were compared with Duncan’s multiple range test at p ≤ 0.05. Graphs were prepared using statistical software Origin (Version 9) and Microsoft Office Excel (2010).
Statistical package for social sciences version 16
Manufactured by IBM
Sourced in United States
SPSS Statistics 16.0 is a software package used for statistical analysis. It provides a comprehensive set of tools for data manipulation, analysis, and visualization. The software supports a wide range of statistical techniques, including regression analysis, hypothesis testing, and multivariate statistics.
Automatically generated - may contain errors
Lab products found in correlation
Prism 5, by GraphPad (4 mentions)
Revertra ace qpcr rt kit, by Toyobo (1 mentions)
Trizol reagent, by Thermo Fisher Scientific (1 mentions)
Varioskan flash, by Thermo Fisher Scientific (1 mentions)
Sybr green real time pcr master mix plus, by Toyobo (1 mentions)
Stata se 11, by StataCorp (1 mentions)
Spss 16, by IBM (1 mentions)
150 protocols using statistical package for social sciences version 16
1
Randomized Factorial Experiment Design
2
Analyzing Sleep Problems and Correlates
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the Statistical Package for Social Sciences, version 16.0 software (SPSS Inc.; Chicago, IL, USA) was used to evaluate the data. The number, percentage, median, and standard deviation value of the data were calculated, and the correlations and consistency between sleep problem and variables thought to be effective on sleep problems were analyzed by chi-square statistical test and Cohen’s kappa coefficient. p<0.05 was accepted as statistically significant.
3
Bacterial Diversity Analysis in Biofilms
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Data were analysed using the Statistical Package for Social Sciences (Version 16.0; SPSS Chicago, IL, USA). One-way analysis of variance was used to compare the number of bacteria and their percentage viability. A Bonferroni test was used for post-hoc multiple comparisons. Statistical significance was set at P<0.05.
DGGE gel images were converted and transferred to a microbial database using GelCompar II, version 6.1 (Applied Maths N.V, Sint-Martens-Latem, Belgium). The similarities in the bacterial compositions of the different biofilms and salivary samples were analysed using a band-based similarity coefficient and a non-weighted pair group method in which arithmetic averages were used to generate dendograms indicating similarities in composition.22 (link)
DGGE gel images were converted and transferred to a microbial database using GelCompar II, version 6.1 (Applied Maths N.V, Sint-Martens-Latem, Belgium). The similarities in the bacterial compositions of the different biofilms and salivary samples were analysed using a band-based similarity coefficient and a non-weighted pair group method in which arithmetic averages were used to generate dendograms indicating similarities in composition.22 (link)
4
Statistical Analysis of Refractive Data
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The Statistical Package for Social Sciences version 16.0 software (SPSS Inc., Chicago, IL, USA) for Windows was used to enter and analyze data. The refractive data from each eye were used separately for analysis. Chi-square and independent t-tests were applied for categorical and continuous comparison tests as appropriate. p<0.05 with 95% confidence intervals (CIs) were considered statistically significant.
5
Statistical Analysis of Experimental Data
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Statistical analyses were performed using GraphPad Prism version 6.0 (GraphPad Software, Inc., San Diego, CA, USA) and Statistical Package for Social Sciences version 16.0 (SPSS Inc., Chicago, IL, USA). Experimental data are expressed as the mean ± standard deviation (SD), and the significance of differences between groups was estimated using Student’s t-test or one-way analysis of variance (ANOVA) analysis. Survival curves were generated by Kaplan–Meier analysis and compared using log rank test. Values of P<0.05 were considered to indicate a statistically significant result.
6
Exploring Psychological Factors in Suicide Risk
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Statistical analyses were performed using the Statistical Package for Social Sciences Version 16.0 (SPSS Inc., Chicago, IL, USA). Values were expressed as mean±SD or as percentages. Correlations between psychological symptoms, coping characteristics, and suicide probability were computed through the Pearson’s correlation analysis. Correlation between continuous variables were categorized as low (correlation coefficient was between 0.10–0.29), moderate (between 0.30-0.49) and high (>0.50) according to their correlation coefficient values. To identify the independent variables (psychological symptoms, coping strategies) that contribute to suicide probability, stepwise multiple linear regression analysis was performed. The limit of statistical significance was set at p-values <0.05.
7
Prognostic significance of RRM2-c2orf48 in NPC
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The Statistical Package for Social Sciences version 16.0 (SPSS, Inc., Chicago, USA) was used to conduct the statistical analysis. The association between RRM2-c2orf48 levels and NPC patients’ clinicopathological features and correlations between detected molecular features were analyzed through a χ2- or Fischer’s exact test. Differences among variables were assessed through two-tailed Student’s t-tests. Survival curves were plotted through a Kaplan–Meier survival analysis and compared through log-rank testing. Univariate and multivariate regression analyses were performed using the Cox proportional hazards regression model to determine the effects of particular prognostic factors on survival. In all cases, a P-value of <0.05 was considered statistically significant.
8
Comparative Analysis of Metabolic Profiles
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Results are reported as mean ± S.D. Statistical analysis was performed using one-way analysis of variance (ANOVA) using post-hoc Tukey test. All statistical tests were performed by using Statistical Package for Social Sciences version 16.0 (SPSS Inc, Chertsey, UK). The differences in the values between the groups were considered significant at p < 0.05.
9
Kidney Function Trajectory and Complications
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The trend of e-GFR at 1 month, 1 year, and 3 years was studied and reported using generalized estimating equation. P < 0.05 was considered statistically significant. The association of infective complications with CISC, persistent vesicoureteral reflux (VUR), and augmented bladder was checked using odds ratio (OR). All analysis was done using Statistical Package for Social Sciences version 16.0 (SPSS Inc., Chicago, IL, USA).
10
Statistical Analysis of Experimental Data
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The Statistical Package for Social Sciences version 16.0 (SPSS 16.0, SPSS Inc., Chicago, IL, USA) and the Prism statistical software package (Version 5.0, Graphpad Software Inc.) were used for the statistical analyses. Unpaired t-tests or Mann–Whitney U tests were used to compare the two groups, and multiple group comparisons were analyzed with one-way ANOVA. P < 0.05 was considered statistically significant. All experiments were performed at least three times.
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