Origin 2019 and IBM SPSS Statistic 23 softwares were used to analyze the data. Pearson correlation analysis and linear regression analysis were performed using IBM SPSS Statistic 23 to detect the correlation between physical and chemical parameters and microbial composition. The principal component analysis (PCA) was calculated by R 3.6.3 with s vegan package to evaluate the spatial distribution of the bacteria community. The typical correspondence analysis was applied to analyze the bacterial community dynamics with eight environmental variables (see Table 1 ).
Spss statistic 23
Manufactured by IBM
Sourced in United States
SPSS Statistics 23 is a software package used for statistical analysis. It provides a wide range of data management and statistical analysis tools, including descriptive statistics, bivariate statistics, and predictive analytics. The software is designed to handle a variety of data types and can be used for a wide range of applications, including market research, social science research, and medical research.
Automatically generated - may contain errors
48 protocols using spss statistic 23
1
Microbial Dynamics in Environmental Variables
2
Comparative Analysis of Biological Samples
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Analysis of variance (ANOVA) was used to determine the significance of differences among samples. The analysis was performed with a SPSS computer program (SPSS Statistic 23.0, IBM, Armonk, NY, USA) and Tukey’s test was used for multiple comparisons. The differences were statistically significant at the p < 0.05 level. A minimum of five samples were analyzed.
3
Ordinal Regression for PTSD Symptom Severity
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
We subdivided our sample into three groups according to total IES-R score: 0-23 (normal), 24-32 (mild PTSD symptoms), and 33 and above (moderate-to-severe PTSD symptoms). Univariate analyses were made for comparison of continuous (ANOVA) and categorical variables (contingency table/X2) in the three groups. Chosen significant variables subsequently underwent an ordinal logistic regression to evaluate the impact of independent variables on the ordinal categories of PTSD symptom severity. We also performed binary logistic regression analysis to explore the predictors of persistence of symptoms, using the significant independent variables found in the univariate analyses. All tests were two-tailed, with a significance level of p < 0.05. Statistical analysis was performed using SPSS Statistic 23.0 (IBM SPSS Statistics, New York, United States).
4
Characterization of Honeydew Honey Types
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The difference between pollen characteristics, physicochemical parameters, bioactive compounds and sugars of both honey types was determined using a Student’s t-test. The significance was determined at p < 0.05. The cluster multivariate analysis or conglomerate analysis was used as the classification method of honeydew honeys. This statistical approach groups the samples together based on a set of case-variable data. The objective is to place the cases (individuals) in homogeneous groups, suggested by the essence of the data so that individuals that can be considered similar are assigned to the same cluster, while different (dissimilar) individuals are located in different clusters. The cluster analysis allowed classification of honeydew honey samples while considering all the variables (palynological and physicochemical). The statistical analyses were carried out with the SPSS Statistic 23.0 (IBM SPSS Statistics, Armonk, New York, USA) and Statgraphics Centurion 17.0 for Windows (Statgraphics Technologies, Inc., The Plains, VA, USA).
5
Exploring Social Distancing Behavior During SARS-CoV-2
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Descriptive data were analyzed using the IBM SPSS Statistic 23.0 software package (IBM Corp., Armonk, NY, USA) and SmartPLS 3.3.2 (SmartPLS GmbH, Boenningstedt, Germany) was used for factor loading and structural equation analyses. The partial least squares (PLS) method is considered the most appropriate for prediction or exploratory modeling [51 ]. Other advantages of the method are the ability to include multiple dependent and independent variables, the ability to treat multicollinearity among the independent variables, and the ability to handle single-item measurements [52 ]. Therefore, PLS is a suitable tool to explore and predict people’s behavior regarding social distancing during the emergence of SARS-CoV-2 and for the application of the extended TPB model. The significant values of the structural model are set to p-value < 0.05.
6
Comparative Analysis of Experimental Treatments
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data are presented as the mean±standard deviation. SPSS software (IBM SPSS Statistic 23.0, IBM Corp.) was used to perform statistical analysis. One-way ANOVA was performed, followed by Duncan’s multiple range tests. Statistical significance was considered at P<0.05.
7
Comparative Analysis of Medical Interventions
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Statistical analysis was performed on IBM* SPSS* STATISTIC, 23.0 using independent t-test for the numeric variables and Fisher test for the nominal variables in which some categories had less than 5 cases. Any value less than 0.05 was considered statistically significant.
8
Cytotoxicity and Apoptosis Analysis
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The IC
50 value was determined by Probit analysis. IC50 value and percentage of apoptosis are further analyzed by one-way ANOVA and Tukey’s test at 5% significance level using IBM SPSS Statistic 23.0 program. P < 0.05 indicated statistical significance.
50 value was determined by Probit analysis. IC50 value and percentage of apoptosis are further analyzed by one-way ANOVA and Tukey’s test at 5% significance level using IBM SPSS Statistic 23.0 program. P < 0.05 indicated statistical significance.
9
Metabolic Profiling of Plant Extracts
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data obtained from at least three independent replications and showed as means ± standard error (SE). Normal distribution data were evaluated by a Kolmogorov-Smirnov test prior to one-way analysis of variance (ANOVA). Post-hoc analysis for multiple comparisons of the experimental group's differences was analyzed at p < 0.05 using the Duncan test. Statistical analysis was performed using the IBM SPSS statistic 23.0 software program (IBM Corp., USA).
10
Statistical Analysis of Categorical Data
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The data were reported as frequency (percentage) and comparison between different categories was done with Chi-square test/Fischer-Exact test with posthoc analysis. Data were analyzed using SPSS Statistic 23 (IBM SPSS Statistics, New York, United States).
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
Revolutionizing how scientists
search and build protocols!