The largest database of trusted experimental protocols

Spss statistics ver 27

Manufactured by IBM
Sourced in United States, Japan

SPSS Statistics ver. 27.0 is a comprehensive software package for statistical analysis. It provides a wide range of statistical procedures for data manipulation, visualization, and modeling. The software is designed to handle complex data and offers a user-friendly interface for conducting advanced statistical analyses.

Automatically generated - may contain errors

67 protocols using spss statistics ver 27

1

Chironomid Microhabitat Preferences and Community Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
The emergence traps were set at specific microhabitats present at the tufa barrier at that time. Three microhabitats were present: pebbles (1); moss and algae (2); and sand (3). Two emergence traps were set on pebbles, two were set on moss and algae, and two were set on sand. However, in June 2013, it was observed that one of the “pebble traps” became a “moss and algae trap”, and in November 2013, it was observed that one of the “sand traps” became a “pebble trap”. This was considered when carrying out the analyses. When linking the preference for a microhabitat type to specific chironomid species, only those that had a total abundance of more than 190 individuals throughout the study period were used, resulting in 10 species considered for this analysis (almost 50% of the total community). Differences in water velocity, total abundance, species richness and abundance of each of the 10 most abundant species between the three different microhabitat types (1/2, 1/3, 2/3) were tested using the Kruskal–Wallis test and Dunn’s Multiple Comparison test for post hoc pairwise comparisons. This was performed in IBM SPSS Statistics ver. 27.0 [45 ].
+ Open protocol
+ Expand
2

Quantifying Chironomid Emergence Dynamics

Check if the same lab product or an alternative is used in the 5 most similar protocols
To determine the magnitude of chironomid emergence, chironomid abundance per square meter was calculated. The dry mass was determined only for chironomids emerging from April to August, as emergence was highest during these months and it was possible to collect at least 30 individuals in one month. The average chironomid dry mass was determined by drying at least 30 individuals in each spring/summer month and weighing them using the Mettler Toledo Gold Balance JE503G scale. To estimate the annual emergence magnitude per square meter, the chironomid abundance per square meter per year was multiplied by the average chironomid dry mass of the respective year. The results represent a very rough approximation of annual chironomid emergence.
The average annual dry mass of chironomids was tested for correlation with the following factors: average annual water temperature, average annual discharge and average annual COD using Spearman’s correlation in IBM SPSS Statistics ver. 27.0 [45 ].
All of the plots were created using the R package ggplot2 [47 ]. The R software version 4.2.3 [48 ] was used to run the two packages mentioned above.
+ Open protocol
+ Expand
3

Statistical Analysis of Categorical and Numerical Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were analyzed using IBM SPSS Statistics ver. 27.0 (released 2020, for Windows; IBM Corp., Armonk, NY, USA). Categorical variables are expressed as frequencies and percentages. To analyze the association of two categorical variables, the chi-squared test was used. Numerical variables are summarized using the median and interquartile range (IR). Normality was considered according to the results of the Kolmogorov–Smirnov or Shapiro–Wilk tests. The 95% confidence interval (CI) is given in any case. To compare numerical variables of two independent samples, the nonparametric Mann–Whitney U test was used. For more than two independent samples, one-way ANOVA or the nonparametric Kruskal–Wallis test was used. Results are considered statistically significant if P<0.05.
+ Open protocol
+ Expand
4

Assessing Surgical Outcomes with SPSS

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analysis was performed using IBM SPSS Statistics ver. 27.0 (IBM Co., Armonk, NY, USA). Comparison of means for continuous variables between groups was performed using independent Student t-test. Mann-Whitney U-test was used to compare means for nonparametric variables and distributions that did not pass the Shapiro-Wilk test for normality. Preoperative and postoperative variables for the same patients were compared using paired Student t-test; Wilcoxon signed-rank test was used for nonparametric variables. Multivariate linear regression analysis was performed to determine the effect of cage type on change in PROMs perioperatively, controlling for age, biological sex, BMI, and perioperative diagnosis. Statistical significance was set at p < 0.05 for all cases.
+ Open protocol
+ Expand
5

Investigating Dental Microbiome Changes

Check if the same lab product or an alternative is used in the 5 most similar protocols
For the changes of parameters of WSLs at site level, mixed effect modeling was performed. Independent variables used for the modeling were Groups and time for patients’ level and tooth type for tooth level. Random intercepts were included in patients, tooth and site levels. Mixed effect modeling was also applied for the changes of dental caries and periodontal disease pathogens obtained by next generation sequence [37 (link),38 (link)]. Models for QLF parameters and for oral pathogens are specified in File S1. Analysis was performed by SPSS Statistics ver27.0 (IBM, Tokyo, Japan).
+ Open protocol
+ Expand
6

Endosonography for Detecting Mediastinal Lymph Node Metastases

Check if the same lab product or an alternative is used in the 5 most similar protocols
All data are reported as the number (%) for categorical variables and as the median (interquartile range [IQR]) or mean (standard deviation) for continuous variables. Data were compared by the Mann-Whitney U test for continuous variables and the chi-square or Fisher’s exact test for categorical variables.
The diagnostic sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and area under the receiver operating curve (AUC ROC) of endosonography for detecting MLN metastases were analyzed. A multivariable logistic regression analysis with backward stepwise selection (with p < 0.05 for entry and p > 0.10 for removal of variables) was used to evaluate risk factors related to MLN metastases. In addition, subgroup analyses were performed to evaluate the diagnostic performance of endosonography for variables identified as risk factors for MLN metastasis through multivariable analysis. p-values < 0.05 were considered to indicate statistical significance. All statistical analyses were conducted using IBM SPSS Statistics ver. 27.0 (IBM Corp., Armonk, NY).
+ Open protocol
+ Expand
7

Dysphagia Risk Factors Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
SPSS Statistics Ver. 27.0 (International Business Machines Corporation, Chicago, IL, USA) was used.
The logistic regression test was used to analyze the independent influencing prognostic factors of the risk of dysphagia. A two-sided p-value of <0.05 was considered significant. Differences were analyzed between the dysphagia (+) and dysphagia (−) groups in age, gender, number of remaining teeth, vertical and horizontal hyoid bone position, the distance of the tongue to the plate, and the width of the tongue.
A correlation matrix was created in advance when the independent variables were input, and it was confirmed that there was no strong correlation between the independent variables with r > 0.80.
+ Open protocol
+ Expand
8

Comparing SSI Risk Factors in Two Groups

Check if the same lab product or an alternative is used in the 5 most similar protocols
For comparison of the risk factors of SSI between the 2 groups, we used the t-test for continuous variables, Mann-Whitney U-test for ordinal variables, and the chi-square test and Fisher exact test for nominal variables. The skin closure time and SSI rate were compared using the t-test. The P-values of <0.05 were considered statistically significant. IBM SPSS Statistics ver. 27.0 (IBM Corp.) was used for the statistical analysis.
+ Open protocol
+ Expand
9

Age and Frailty Impact on Surgical Outcomes

Check if the same lab product or an alternative is used in the 5 most similar protocols
All statistical analyses were performed employing IBM SPSS Statistics ver. 27.0 (IBM Co., Armonk, NY, USA) and GraphPad Prism v 9.0 (GraphPad Software Inc., La Jolla, CA, USA). Continuous variables with skewed data distribution are reported as median (and interquartile range, IQR). The D’Agostino-Pearson, Shapiro-Wilk, and Kolmogorov-Smirnov normality tests were used to determine whether the data were normally distributed or skewed. The incidence of mortality and major complication data in different age groups and frailty tiers are presented as percent incidence. The univariate analyses for age and mFI-5 were performed for the following outcomes: 30-day mortality, major complication, unplanned reoperation, unplanned readmission, hospital LOS, and discharge to a nonhome destination. Multivariable modeling of age and mFI-5, controlling for covariates, was done to define the discriminative ability of each measure. Effect sizes were summarized by odds ratio (OR) (dichotomous outcomes) or beta coefficients (continuous outcomes) and associated 95% confidence intervals (95% CIs). Receiver operating characteristic (ROC) curve analysis was performed to investigate the individual discrimination of age and frailty (by mFI-5) for mortality, and corresponding area under the curve (AUC) was depicted with 95% CI. For all purposes, p-value of < 0.05 was considered as statistically significant.
+ Open protocol
+ Expand
10

Statistical Analysis of Research Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
Descriptive statistics were calculated by SPSS Statistics ver 27.0 (IBM, Tokyo, Japan) and visualized by free software R ver 4.12.
+ 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!