The largest database of trusted experimental protocols

Spss statistics ver 21

Manufactured by IBM
Sourced in United States, Japan, United Kingdom

SPSS Statistics version 21.0 is a statistical software package developed by IBM. It provides tools for data management, analysis, and presentation. The software supports a wide range of statistical techniques, including descriptive statistics, regression analysis, and hypothesis testing.

Automatically generated - may contain errors

405 protocols using spss statistics ver 21

1

Analyzing Coconut Husk Particle Properties

Check if the same lab product or an alternative is used in the 5 most similar protocols
To compare PM SPRE across the three different sized coconut husk-based particles, two separate one-factor PERMANOVAs (PAST Ver 3.15) were conducted. One-factor ANOVAs (IBM SPSS Statistics Ver 21) were conducted to compare the SPREs of ethyl acetate, benzene, and ambient TVOCs amongst the different coconut husk-based treatments, and also for the coconut husk-based treatments to compare pressure drop, air filled porosity and water-holding capacity.
To assess the influence of GAC concentration as a predictor for the SPRE of VOCs, independent non-linear logarithmic loss function regression analyses (IBM SPSS Statistics Ver 21) were conducted. Three independent general linear model regression analyses (IBM SPSS Statistics Ver 21) were conducted to determine if the percentage of GAC significantly influenced the variation in pressure drop, air filled porosity and water holding capacity.
+ Open protocol
+ Expand
2

Analyzing Tumor Survival with Statistics

Check if the same lab product or an alternative is used in the 5 most similar protocols
Normality of data distribution was assessed with Smirnov-Kolmogorov test and due to the results obtained, appropriate non-parametric tests were used in analyses. Differences between ER groups were analyzed with the χ2 test (categorical values) and Mann-Whitney U test (quantitative values). Spearman correlation coefficients were used to analyze associations between total survival time and other clinical variables for each tumor location. Overall survival (OS) was calculated using the Kaplan-Meier method, while the log-rank test tested the differences between the actuarial curves. OS was calculated from the time of surgery to death resulting from all causes. IBM SPSS Statistics ver. 21 (Armonk, NY, USA) was used in all statistical tests. P<0.05 was considered to indicate a statistically significant difference.
+ Open protocol
+ Expand
3

ANOVA and Newman-Keuls Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
One-way analysis of variance was used to assess significant differences among treatment groups. The Newman–Keuls test was used for comparisons of group means. Statistical analyses were carried out using IBM-SPSS Statistics ver. 21.0 (IBM Corporation, Armonk, NY, USA) for Windows software. Data represent the mean ± standard deviation. The criterion for statistical significance was set at p < 0.05 or p < 0.01.
+ Open protocol
+ Expand
4

Statistical Analysis of Binomial Outcomes

Check if the same lab product or an alternative is used in the 5 most similar protocols
Statistical analysis was performed using the χ2 test. A multivariate analysis was conducted using a binomial logistic regression model. A value of p < 0.05 (two-sided) was accepted as statistically significant. The statistical software programs IBM SPSS Statistics ver. 21.0 (IBM Corp., Armonk, NY, USA) and SAS ver. 9.4 (SAS Institute Inc., Cary, NC, USA) were used in this study.
+ Open protocol
+ Expand
5

Behavioral and Histological Evaluation

Check if the same lab product or an alternative is used in the 5 most similar protocols
The data are presented as the mean±standard error of the mean and statistical significance was assessed using IBM SPSS Statistics ver. 21.0 (IBM Co., Armonk, NY, USA) for behavioral tests or GraphPad Prism 7 (GraphPad Software Inc., La Jolla, CA, USA) for the rest of statistical analyses. Repeated measures analysis of variance (ANOVA) was performed for the behavioral tests, followed by Duncan post hoc test. ANOVA followed by Duncan post hoc test was performed to compare infarct volume. Student unpaired t-test was performed for immunohistochemistry for hNU and DCX as the data passed Shapiro-Wilk normality test. P<0.05 was considered statistically significant.
+ Open protocol
+ Expand
6

Prognostic Factors in Gastric Cancer

Check if the same lab product or an alternative is used in the 5 most similar protocols
Continuous data was presented as a median and interquartile range from 25th to 75th percentile. Mann-Whitney U-test or Student t-test were used to compare continuous variables between the 2 groups when appropriate. The chi-square test was applied to categorical variables between groups. Kaplan-Meier curve and the log-rank test were used to evaluate the survival time between the 2 groups. Cox regression analysis was employed to identify the prognostic indicators in patients with gastric cancer. The receiver operating characteristic (ROC) curve and the area under the curve (AUC) was conducted to assess the prognostic value of CAR. All statistical tests were 2-sided and P-values of <0.05 were considered statistically significant. The statistical analyses were performed using IBM SPSS Statistics ver. 21.0 (IBM Corp., Armonk, NY, USA) and R ver. 3.5.1 (R Foundation for Statistical Computing, Vienna, Austria).
+ Open protocol
+ Expand
7

Survival Analysis of Radiofrequency Ablation

Check if the same lab product or an alternative is used in the 5 most similar protocols
Data were summarized using descriptive statistics: frequency and percentage for categorical variables and mean and standard deviation for continuous variables. OS was estimated using Kaplan-Meier curves and defined as the time from RFA to death. DFS was defined as the time from RFA to recurrence or death. Survival curves were compared between groups using the log-rank test. Univariate analyses of prognostic factors were performed using Cox regression to examine differences with respect to OS and DFS. Multivariate analysis using Cox regression was performed to identify prognostic factors, which are independently related to OS and DFS. All P-values <0.05 were considered statistically significant. This study was explorative in nature and therefore no adjustment for multiple testing was applied. All statistically analyses were carried out using IBM SPSS Statistics ver. 21.0 (IBM Co., Armonk, NY, USA) and MedCalc 11.6.0 (MedCalc, Ostend, Belgium).
+ Open protocol
+ Expand
8

Factors Influencing Glaucoma Progression

Check if the same lab product or an alternative is used in the 5 most similar protocols
DTA measurements at baseline and last follow-up were compared using the Wilcoxon signed rank test. Demographics and clinical characteristics were compared between progressed eyes and stable eyes in terms of glaucomatous damage using the Mann-Whitney U test. A linear mixed effect model was used to assess the influence of parameters (age, sex, baseline IOP, mean follow-up IOP, RNFL thickness, VF MD, AXL, central corneal thickness, and presence of glaucomatous progression) upon the DTA change. Variables with a p-value ≤0.2 in univariate analyses were included in a multiple mixed effects model. The final models for outcomes were determined by backward elimination procedures. A p-value less than 0.05 was considered statistically significant. R ver. 3.2.2 (R Core Team, 2013) and IBM SPSS Statistics ver. 21.0 (IBM Corp., Armonk, NY, USA) were used for the statistical analyses.
+ Open protocol
+ Expand
9

Cardiac Compression Force Monitoring

Check if the same lab product or an alternative is used in the 5 most similar protocols
Ground reaction force data on the cardiac compression was monitored and stored to PC using Kwon GRF 2.0 program (Visol, Gwangmyeong, Korea). The variables selected for 30 times was consisted of compression velocity (m/sec), elapsed time (sec), and change of compression force (N) on diastolic and systolic. Cardiac compression velocity calculated as a follow (Hyun et al., 2018 (link)). Where TT is the total elapsed time during compression, and NR as the number of repetition to cardiac compression.
Then TT and NR mean total time and number of repetition (30 times). Loading rate and decay rate calculated as a follow (Hyun et al., 2018 (link); Ryew and Hyun, 2018 (link)).
Here VFO means minimum value before peak vertical force occurrence. Δt means elapsed time during the phase.
Cardiac compression force on total 300 times was calculated for mean±standard deviation using IBM SPSS Statistics ver. 21.0 (IBM Co., Armonk, NY, USA). Repeated measures analysis was treated according to the levels of information provision (×3) and post hoc: Duncan was performed in case of significant difference (P<0.05).
+ Open protocol
+ Expand
10

Molecular Analysis of Hippocampal Neurodegeneration

Check if the same lab product or an alternative is used in the 5 most similar protocols
The detected bands of Bax, Bcl-2, BDNF, TrkB, CREP, and p-CREP were calculated densitometrically using Molecular Analyst ver. 1.4.1 (Bio-Rad). The area of the granular layer of the hippocampal dentate gyrus from each slice was measured by Image-Pro Plus image analysis system (Media Cyberbetics Inc., Silver Spring, MD, USA). The number of caspase-3-positive cells in the hippocampal dentate gyrus was counted hemilaterally under a light microscope (Olympus, Tokyo, Japan), and expressed as the number of cells per square millimeter of granular area in the hippocampal dentate gyrus.
Differences among the groups were evaluated using IBM SPSS Statistics ver. 21.0 (IBM Co., Armonk, NY, USA). For the comparison among the groups, one-way analysis of variance was performed followed by Duncan post hoc test. All values are expressed as the mean±standard error of the mean. Statistically significant differences were established at P<0.05.
+ 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!