The largest database of trusted experimental protocols

Spss for macos

Manufactured by IBM
Sourced in United States

SPSS for MacOS is a statistical software package designed to analyze data and perform a variety of statistical analyses. It provides a user-friendly interface for managing, analyzing, and visualizing data on macOS operating systems.

Automatically generated - may contain errors

18 protocols using spss for macos

1

Biliverdin Reductase A Dynamics in Metabolism

Check if the same lab product or an alternative is used in the 5 most similar protocols
All data are presented as mean  ±  SEM or standard deviations (SD) of n independent samples per group. Human and cellular data were evaluated using one-way analysis of variance (ANOVA) with Bonferroni’s Multiple Comparisons. Association between BVRA protein levels and metabolic parameters, i.e., BG and BI, as well as static and dynamic indexes of insulin resistance and secretion, were tested by Pearson’s coefficient. To identify independent predictors of BVRA dynamic changes during the OGTT, we built multivariate regression models starting from parameters significantly associated with the bivariate analyses and forcing for sex and age. Results from the final stepwise model are reported in the text. R2 was calculated as a goodness-of-fit measure for the regression model; both R and R2 were reported. All statistical tests were two-tailed, and the level of significance was set at 0.05. Statistical analyses were performed with SPSS for MacOs (version 27, SPSS Inc., Chicago, IL, USA).
+ Open protocol
+ Expand
2

Statistical Analysis of Experimental Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
Categorical variables are described by absolute and relative frequencies, while continuous variables are expressed by means, standard deviation (SD), medians and range. Parametric (paired t-test) or non parametric analysis (Wilcoxon test) was used for continuous variables. A p-value less than 0.05 was considered statistically significant; all p-values were based on two-tailed tests.
Statistical analysis was performed using SPSS for macOS (SPSS Inc., Chicago, Illinois, USA).
+ Open protocol
+ Expand
3

Diagnostic Accuracy of Liver Fibrosis Scores

Check if the same lab product or an alternative is used in the 5 most similar protocols
The results are presented as means with their corresponding 95% confidence intervals. The data were analysed using the Statistical Package for the Social Sciences, Version 29 (SPSS for MacOS, SPSS Inc., Chicago, IL, USA). The normality of continuous variables was assessed using the Kolmogorov–Smirnov test. Parametric data were analysed using independent t-tests, and non-parametric data were analysed using the Mann–Whitney U test. Categorical variables were analysed using the chi-squared test, and the results were reported as frequencies and percentages. Pearson’s correlation coefficient was computed to assess the strength and direction of linear relationships between all scores. Sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio, negative likelihood ratio, and accuracy were calculated for the liver fibrosis scores (FIB-4 index, APRI, NAFLD fibrosis score, and FAP index) and 2D-SWE. These metrics were compared to the histological findings from the liver biopsies, which served as the primary comparators for diagnostic procedures.
+ Open protocol
+ Expand
4

Analyzing Socioeconomic Factors and Outcomes

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were analysed using the Statistical Package for Social Sciences, Version 27 (SPSS for MacOS, SPSS Inc., Chicago, IL, USA). Normality for continuous variables was determined by Shapiro–Wilk test. Parametric data were analysed using independent t-test and results were expressed as mean ± SD. Difference between baseline and 12-month values of parametric data within the same group was analysed using paired t-test. Percentage change in continuous variables were analysed using ANCOVA, using change in raw value as the dependent variable and the baseline variable as the co-variate. Data were adjusted for age, sex and employment status at baseline (considering baseline difference in the characteristics between two groups) using a regression analysis; change in mean and SD at 12 months were then expressed as percentage of the baseline value. Non-parametric data were analysed using Mann–Whitney U and Wilcoxon Sign Rank Tests. Categorical variables were analysed using Pearson’s chi-square test and the association to a categorical outcome was adjusted for age and sex at baseline using logistic regression.
+ Open protocol
+ Expand
5

Surgical Skill Evaluation Across Levels

Check if the same lab product or an alternative is used in the 5 most similar protocols
Participants were divided for analysis into surgical experience subgroups: juniors (ST3–5 or equivalent), seniors (ST6–8 or equivalent), and consultants. Free-text data were coded using the descriptions of errors from a previous study12 (link) (Tables S2 and S3).
All data were treated as non-normally distributed. Median (i.q.r., range) was calculated for error counts, and either the Friedman (χ2F(d.f.)) or Kruskal–Wallis (H(d.f.)) statistic was calculated to compare subgroups. For comparisons of continuous data, simple linear regression was used to determine relationships using GraphPad Prism® 9 for MacOS® version 9.4.1 (458) (GraphPad Software, Boston, MA, USA). The intraclass coefficient (ICC) was calculated using a two-way mixed-effects model with absolute agreement for the total intraoperative grade score using SPSS® for MacOS® version 29.0.0.0 (241) (IBM, Armonk, NY, USA).
+ Open protocol
+ Expand
6

Statistical Analysis and Visualization

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical Package for Social Sciences—SPSS for MacOS (version 27; IBM, Chicago, IL, USA) and GraphPad Prism software (version 9; Dotmatics, San Diego, CA, USA) were used to perform statistical analysis and data visualization. Statistical analysis comprised the Chi-square Test for categorical variables. A p-value under 0.05 was considered statistically significant.
+ Open protocol
+ Expand
7

Statistical Analysis of Continuous Variables

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data analyses were performed using IBM SPSS for macOS version 28.0.1.0 (IBM Corp., Armonk, NY). Data are reported as medians and interquartile ranges [IQRs] or frequencies and relative percentages. Mann–Whitney U test for unpaired samples was used to compare continuous variables. A value of p ≤ 0.05 was considered statistically significant.
+ Open protocol
+ Expand
8

Evaluating Discrepancies in Emergency Imaging

Check if the same lab product or an alternative is used in the 5 most similar protocols
We calculated the absolute and relative frequencies of different severities of report changes and considered the acquisition locations as a risk factor for report changes. Statistical significance of differences in the examined frequencies of discrepancies between comparison groups was tested using the chi-square test. In addition, the chi-square test was used to evaluate the distribution of neuroradiological cases. This aimed at making comparison with other studies easier: Neuroradiological examinations are often evaluated separately in quality control studies. In this study, we intended to investigate emergency imaging of all body regions. Statistical analysis was performed using SPSS for Mac OS (Version 25; IBM, Chicago, IL, USA).
+ Open protocol
+ Expand
9

Statistical Analysis of Experimental Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
The statistical analysis was conducted with Prism for macOS (version 9, GraphPad Software, LLC, Boston, MA, USA) and SPSS for MacOS (version 28, IBM Corp., Armonk, NY, USA). The group comparisons were performed using the Mann–Whitney test and ANOVA (p < 0.05). The correlation analyses were performed using Pearson’s coefficients (two-tailed test of significance).
+ Open protocol
+ Expand
10

Prostate Cancer Detection Accuracy

Check if the same lab product or an alternative is used in the 5 most similar protocols
Categorical variables were reported as frequency distributions and percentages, and continuous variables were expressed as medians with interquartile ranges (IQRs).
Detection rates of ciPCa and csPCa were calculated for both TBx and TBx + perilesional SBx approaches, and compared with the detection on TBx + standard SBx as the “gold standard.” Sensitivities and 95% confidence intervals (CIs) of detection rates were calculated using binomial tests, and intergroup differences between sensitivities were considered statistically significant if the 95% CIs did not overlap. A subgroup analysis was performed for the PI-RADS assessment category. Differences between subgroup detection rates were compared with the Fisher’s exact test using the Freeman-Halton extension. All statistical analyses were performed with the statistical package SPSS for MacOS, version 27 (IBM, Armonk, NY, USA).
+ Open protocol
+ Expand

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required

Sign up now

Revolutionizing how scientists
search and build protocols!