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Spss 14.0 statistical software

Manufactured by IBM
Sourced in United States

SPSS 14.0 is a statistical software package designed for data analysis. It provides a range of analytical tools for researchers and data analysts to explore, visualize, and model data. The software supports a variety of data types and offers features for data management, statistical analysis, and reporting.

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Lab products found in correlation

15 protocols using spss 14.0 statistical software

1

Comparative Viability Assessment in Experimental Groups

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The data are expressed as the means ± standard deviation. Analysis of variance (SPSS 14.0 statistical software, SPSS, Inc., Chicago, IL, USA) was used to assess the data. P<0.05 was considered statistically significant. Viability was compared across multiple experimental groups using a one-way analysis of variance (ANOVA) followed by post-hoc Tukey analysis to determine significant differences (P<0.05) between the different groups. Relationships between continuous variables were examined using simple linear regression analyses. Non-normally distributed data were log-transformed before analysis.
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2

Statistical Analysis of Numerical Data

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SPSS 14.0 statistical software (SPSS Inc. Chicago, IL, USA) was employed. The Chi-square test was used to compare numerical data, which were expressed as mean values. The t-test was used for between-group comparisons and Pearson analysis was used to test correlations between two factors. A P-value < 0.05 represented the level of statistical significance.
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3

Statistical Analysis of Outcome Variables

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The results were expressed as mean with standard deviation. SPSS 14.0 statistical software was used in the statistical analysis (SPSS Inc, Chicago, IL). The Fisher exact test and paired t test were applied to assess the outcome variables between the 2 groups. The P value < .05 was considered to be significant.
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4

Cardiac Mechanics and Electrical Parameters

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All data are expressed as means ± standard deviation. Data were analyzed by one-way analysis of variance (ANOVA) followed by post hoc Fisher's least significant difference test. The relation among rotation and twist with LVEDP, LEVSP, LA, LVEDV, LVESV, LVEF, MAPSE, TAPSE, QRS duration, TPT and RSI was assessed with Pearson correlation analysis. Inter-observer variability of measurements was determined by two independent blinded observers on 25 randomly selected cases for twist and TPT measurements.
Analyses were performed using the SPSS 14.0 statistical software (SPSS, Chicago, IL, USA). All statistical tests were two sided, and a P value <0.05 was considered to indicate statistical significance.
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5

Viability Comparison Across Experimental Groups

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The data are expressed as the mean ± standard deviation. Analysis of variance (SPSS 14.0 statistical software; SPSS Inc., Chicago, IL, USA) was used to assess the data. P<0.05 was considered statistically significant. Viability was compared across multiple experimental groups using a one-way analysis of variance followed by post hoc Tukey analysis to determine significant differences (P<0.05) between the different groups. Relationships between continuous variables were examined using simple linear regression analyses. Nonnormally distributed data were log-transformed before analysis.
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6

Comparing Outcomes in Surgical Patients

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Using SPSS 14.0 statistical software (SPSS Inc., Chicago, USA), the data was tested for normality using the Kolmogorov-Smirnov test. Both the data for length of stay and time to operation were normally distributed. The t-test was therefore used to assess any statistically significant difference between the two groups. The significance level was chosen at 0.05. The two-tailed Z-test for comparing two population proportions was used for comparing the data for 30-day mortality. This was also used for the data on patients discharged home.
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7

Decompression Surgery Outcomes

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A research nurse entered all baseline and outcome data in the study database. Data were collected on handwritten forms and archived in a password-protected, electronic database. All continuous variables are presented as the mean ± standard deviation. SPSS 14.0 statistical software (SPSS, Inc., Chicago, USA) was used for the statistical analyses. Independent two-sample t-tests and Spearman correlations were used to assess categorical data. Fisher's exact t-test was used to compare categorical data between two groups, and the Mann-Whitney U test was used to compare ordinal or continuous variables between groups. A value of P < 0.05 was considered statistically significant. In our pilot study, 15% of the patients in the controlled decompression surgery group died, compared with 30% in the rapid decompression group. On the basis of these data, we estimated that 118 patients would be needed to confirm this effect with an α of 5 and 80% power. To allow the reliable detection of a slightly smaller effect and account for a 5% loss to follow-up rate, we decided to enroll 248 patients.
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8

Experimental Replication and Statistical Analysis

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In this study, at least three separate repetitions of each experiment were performed. Unless otherwise specified, the data are presented as mean ± standard deviation. Statistical analyses were performed using SPSS 14.0 statistical software (SPSS, Chicago, IL). One-way analysis of variance and the Bonferroni t-test for multigroup comparisons were used to calculate the P values. P < 0.05 was considered statistically significant.
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9

Comparative Statistical Analysis of Biological Data

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All data were presented as the mean ± standard deviation. SPSS 14.0 statistical software (SPSS, Inc., Chicago, IL, USA) was used for statistical analysis. Differences between the two groups were analyzed using a two-tailed unpaired Student's t-test. The differences among multiple groups were assessed using a one-way analysis of variance followed by Tukey's post hoc test. Ranked data between the two groups were evaluated using rank sum test. P<0.05 was considered to indicate a statistically significant difference.
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10

Statistical Analysis of Experimental Data

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All values are reported as mean ± standard deviation (SD) unless otherwise stated. All statistical analysis was performed using SPSS 14.0 statistical software. The significant differences between the groups were analyzed by a Student’s t test. Comparisons among multiple groups were analyzed by one-way analysis of variance (ANOVA). Data were considered statistically to be significant at p < .05.
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