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Spss program version 16

Manufactured by IBM
Sourced in United States

SPSS program version 16 is a statistical software package used for data analysis and management. It provides a wide range of analytical tools and techniques for researchers, analysts, and data scientists. The core function of SPSS is to enable users to perform statistical analysis, data exploration, and reporting on various types of data.

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42 protocols using spss program version 16

1

Evaluating Aesthetic Perception of Facial Smiles

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The VAS scores were entered separately for each of the facial type and panel of judges on a data sheet. Data variables were analyzed using SPSS program version 16 (SPSS Inc., Chicago, IL, USA). A one-way analysis of variance (ANOVA) was used to assess the significance of the differences in VAS scores among the three panels in all the three facial patterns for each simulation. When significant interactions were seen a pair-wise post hoc Tukey highly significant difference was performed. Further, the effect of independent variables on the dependent variable (scoring) and their interactions was tested utilizing three-way ANOVA. The hypothesis that there was no difference in esthetic perception of smiling profile in three different facial types among the three groups of raters was tested for each photograph. The individual variation of the interacting parameters was assessed by post hoc Scheffe method test after three-way ANOVA test. The significance level was predetermined at P < level of 0.05 for all tests.
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2

Longitudinal Measurements and Analysis

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The measurements were conducted at each time point and presented as mean value ± SD. Measurements at post-12M were set as references. One-way ANOVA with repeated measurement was performed to compare between different time points (significance level of p<0.05). The SPSS program version 16 (SPSS, Chicago, IL, USA) was used for analysis.
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3

Statistical Analysis of Social Data

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Statistical Package for Social Sciences (SPSS) program version 16 (SPSS Inc., Chicago, IL, USA) was used for data analysis. Descriptive statistics as minimum, maximum and mean±standard deviation and independent sample t-test, correlation and linear regression. p value of <0.05 denoted the presence of a statistically significant difference.
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4

Comparative Analysis of Experimental Treatments

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Results were expressed as mean ± standard error of mean (SEM) and analyzed using the SPSS program version 16 (Chicago, IL, USA). Numerical data were compared using the one-way analysis of variance, supplemented by Bonferroni’s multiple comparisons test. Differences were considered significant at p ≤ 0.05.
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5

Statistical Analysis of Experimental Data

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Data were represented as mean ± standard error of the mean (SEM). The results were analyzed by one-way analysis of variance (ANOVA) followed by Duncan post-test using SPSS program version 16 (SPSS Inc., Chicago, USA). Differences of P < 0.05 were considered to be statistically significant.
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6

Comparative Statistical Analysis of Groups

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The obtained data were analyzed through Statistical Package for the Social Sciences (SPSS) program version 16 (SPSS Inc. Chicago, IL, USA) software. We used Kolmogorov–Smirnov test for data normality. One-way ANOVA followed by a post hoc Tukey test was performed to compare various groups with each other. The data normally distributed were expressed by mean ± standard deviation. In this study, differences with a p-value less than 0.05 were regarded to be statistically significant at a 95% confidence level.
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7

Statistical Analysis of Physiological Data

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SPSS program version 16 (SPSS Inc., Chicago, USA) was used for the analysis of data. Results were expressed as mean ± SD. Statistical analysis was carried out using one‐way ANOVA followed by Tukey's post hoc test. Two way ANOVA test was performed between time and both body weight and blood glucose Values of p ≤ .05 were regarded as statistically significant (Brown, 2015).
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8

Protein Expression Analysis Protocol

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Data are presented as the mean ± standard error of the mean. Data were analyzed by the Statistical Product and Service Solutions (SPSS) program version 16 (SPSS, Inc., Chicago, IL, USA). Group differences were determined using the Student's t-test. P<0.05 was considered to indicate a statistically significant difference.
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9

Statistical Analysis of Patient Characteristics

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Data was analyzed using SPSS program version 16 (SPSS Institute, Inc., Chicago, IL, USA). All characteristics of the patients were described as means ± standard deviation (SD), median and interquartile range (IQR) or frequency. Normal distribution was verified using kolmogorov-smirnov test. The relationship between qualitative variables was evaluated using chi-square test. Comparison between two groups was performed using independent sample t testing or its nonparametric equivalent. A p value less than 0.05 were considered significant.
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10

Data Analysis Using SPSS and ANOVA

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The analysis of collected data was done using SPSS program version 16 (SPSS Inc., Chicago, USA. Statistical analysis was done using one-way ANOVA followed by Tukey’s post hoc test. The data were presented as mean ± standard deviation (SD. P ≤ 0.05 values were considered statistically significant [30 ].
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