The largest database of trusted experimental protocols

Statistical package for the social sciences software version 20

Manufactured by IBM
Sourced in United States

The Statistical Package for the Social Sciences (SPSS) software version 20.0 is a comprehensive and powerful data analysis tool. It is designed to manage, analyze, and visualize a wide range of data types, catering to the needs of researchers and professionals in the social sciences and beyond. SPSS 20.0 provides a user-friendly interface and a robust set of statistical and analytical capabilities, enabling users to perform various tasks such as data exploration, hypothesis testing, regression analysis, and more.

Automatically generated - may contain errors

83 protocols using statistical package for the social sciences software version 20

1

Psychometric Validation of a Clinical Instrument

Check if the same lab product or an alternative is used in the 5 most similar protocols
The Statistical Package for the Social Sciences Software version 20 (SPSS Inc, Chicago, USA) was used for statistical analysis. Descriptive data of clinical characteristics, including mean, standard deviation, and range, as well as the data related to content validity analysis, including I-CVI and S-CVI values, were presented in separate tables. To assess internal consistency, Cronbach's alpha coefficient was calculated at the scale level and after removing each item, and values >0.70 were considered acceptable.22 (link) Test-retest reliability was measured using interclass correlation coefficient (ICC) at the scale level and for each item separately, and values >0.75 were considered acceptable.23 (link) One-way analysis of variance (ANOVA) was applied to compare the overall CISS score between different groups of CI severity. A value of P < 0.05 was considered statistically significant.
+ Open protocol
+ Expand
2

Comparison of Imaging Modalities for Measurements

Check if the same lab product or an alternative is used in the 5 most similar protocols
Mean and standard deviation of GT, GMBC-V, and GMBC-I were calculated. The difference between the measurements performed with CBCT, TP, US, and TCE was calculated using the independent t-test or the Mann-Whitney test and ANOVA Tamhane's post hoc test. The relationship between the measurements performed with CBCT, TP, US, and TCE was assessed by the Pearson correlation coefficient and simple linear regression. The significance level was P < 0.05. The statistical analysis was carried out using the Statistical Package for the Social Sciences software, version 20 (SPSS, Chicago, IL, USA).
+ Open protocol
+ Expand
3

Analyzing Outcomes in Cancer Patients

Check if the same lab product or an alternative is used in the 5 most similar protocols
The following variables were analyzed: age on the procedure date; clinical and pathologic staging; definitive histology; systemic treatments (frequency and types); follow-up time; cumulative incidence of local, locoregional, and distant recurrences at the last follow-up; and death rates. In addition, data on the outcomes of patients who experienced cancer-related events were collected. Descriptive and frequency analyses were conducted by calculating the means, standard deviations, medians, and interquartile ranges. The Kolmogorov-Smirnov test was used to verify the normal distribution of the numerical variables.
Survival estimates were calculated using the Kaplan-Meier method with the log-rank test for comparison. All outcomes were considered from the date of surgery. Overall survival was defined as the time to death by any cause, disease-free survival until the detection of the first recurrence, local disease-free survival until recurrence in the treated breast, and locoregional-free survival regarding lymph node recurrences. Univariate and multivariate analyses were performed, and odds ratios were calculated using logistic regression. Statistical analyses were performed using Statistical Package for the Social Sciences software version 20. For statistical formalism purposes, a significance P-value of 5% and 95% confidence interval were selected.
+ Open protocol
+ Expand
4

Allelopathic Effects of Invasive Shrub on Brassica

Check if the same lab product or an alternative is used in the 5 most similar protocols
All statistical analyses were performed using the Statistical Package for the Social Sciences software, version 20 (SPSS Inc., Chicago, IL, USA). Data were expressed as the means ± standard deviation (SD) of three independent replicates (N = 3, n = 60 seeds total for each treatment and condition). Student’s t-test was used to compare the differences in Brassica seed responses to varying honeysuckle extract concentrations and to analyze the seasonal variation in the L. maackii extracts’ negative allelopathic efficiency. Students’ test was also used to assess the significance of different variety seed germination and growth changes in response to L. maackii-induced inhibition in the presence and absence of exogenous GA3 compared to the corresponding controls. The same test was used to determine the significance of the impact of flavones or their combination on Rbr seed germination and seedling growth after 48 h, as compared to the controls. Analysis of variance (two-way ANOVA) was used to test for differences in the germination and growth of the used B. rapa varieties treated with L. maackii extracts without or in the presence of exogenous GA3 over time. Graphing was performed with Microsoft® Excel® 365 MSO, Version 2210 (Microsoft Corporation, Redmond, WA, USA).
+ Open protocol
+ Expand
5

Survival Analysis of Clinicopathological Factors

Check if the same lab product or an alternative is used in the 5 most similar protocols
The Statistical Package for the Social Sciences software, version 20 (SPSS Inc., Chicago, IL, USA) was used for statistical analyses. The χ2-test and Fisher's exact test were performed to evaluate the correlation between the clinicopathological features of the patients and the p53 expression level. For the survival analysis, the Kaplan–Meier method with log-rank test was used. Prognostic factors were further evaluated in univariate and multivariate logistic regression analysis using the Cox's proportional hazards model to know relevant prognostic variables. The risk ratio (RR) with 95% confidence interval (95% CI) was used to assess the relationships between these factors and overall survival. A P value <0.05 was considered as statistically significant.
+ Open protocol
+ Expand
6

Statistical Analysis of Quantitative Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
The data were analyzed using the Statistical Package for the Social Sciences software version 20 (Chicago, IL, USA). The quantitative data were expressed as numbers and percentages. The difference between the categorical variables was tested using Pearson’s Chi-squared test and Fisher’s exact p-value (FEp) for 2×2 tables if there was at least one cell with an expected frequency of <5. The Monte Carlo significance test was employed for r×c tables if more than 25% of cells have an expected cell count of <5. p-value of less than 0.05 was considered significant.
+ Open protocol
+ Expand
7

Statistical Analysis of Social Science Data

Check if the same lab product or an alternative is used in the 5 most similar protocols
The statistical analysis was performed with the Statistical Package for the Social Sciences software, version 20 (SPSS Inc, Chicago, IL, USA). The continuous variables are expressed as mean ± standard deviation (SD). Student’s t test, Chi-square test, and Wilcoxon test were used for statistical analysis. p values < 0.05 were considered to be statistically significant.
+ Open protocol
+ Expand
8

Mental Health Symptoms Assessment in Cohorts

Check if the same lab product or an alternative is used in the 5 most similar protocols
We used Statistical Package for the Social Sciences Software, version 20 (SPSS) for data analyses. The Kolmogorov-Smirnov test evaluated the normal distribution of continuous variables. We expressed categorical variables as frequency and percentage and continuous variables as mean and standard deviation (SD). The prevalence of mental symptoms are reported alongside their 95% confidence interval (CI).
Man-Whitney U and Fisher's exact test tests were used to compare continuous and categorical variables within DASS, and PTSD subscales. In addition, the correlations between PTSD, DASS subscales and quantitative demographic variables were assessed using Spearman's correlation coefficient.
Univariable (crude) and multivariable (adjusted for variables with a P-value < 0.1 in the crude model) logistic regression analyses were performed, to determine the association between demographics and the aforementioned mental health conditions, and their results were reported as odds ratio (OR) and 95% CI. A p-value below 0.05 (two-tailed) was considered statistically significant.
+ Open protocol
+ Expand
9

Assessing Carotid and Femoral Atherosclerosis

Check if the same lab product or an alternative is used in the 5 most similar protocols
The data generated was entered and analyzed using the Statistical Package for the Social Sciences software version 20 (SPSS Inc., Chicago, IL, USA). Frequency tables, percentages, graphs, and means ± standard deviation were used to present the results of the sociodemographic characteristics, anthropometric, and blood pressure measurements of the respondents, after normality test was done. Student's t-test at 95% level of significance was used to measure difference of CIMT and FIMT between categorical variables such as sex (males and females) and study group (cases and controls). Multivariate regression was used to test the correlation between two quantitative variables such as hypertension, age, BMI, and CIMT/FIMT. Chi-square test at 95% level of significance was used to test the association of the presence of carotid and femoral plaques with the study group hypertensive cases and controls. The presence of carotid and femoral plaques were grouped according to the absence or presence of plaques; absent on the right or left side, present on the left, and present right. Two-tailed tests P < 0.05 were considered statistically significant.
+ Open protocol
+ Expand
10

Veterans' Mindfulness Perceptions and Practices

Check if the same lab product or an alternative is used in the 5 most similar protocols
Descriptive and inferential statistics were used to assess Veterans’ self-reported data, including demographic information, perceptions of and interest in mindfulness, reasons for using mindfulness, and perceived effectiveness of MBIs for specified clinical concerns. Free text responses were independently reviewed and coded by three study staff to establish inter-rater reliability using percent agreement. Pearson’s chi-square tests of independence were performed to determine whether there was a significant association between categorical demographic variables and survey questions regarding understanding, awareness, and usage of mindfulness. One-way analysis of variance (ANOVA) was used to examine whether frequency of mindfulness practice was associated with greater perceived improvement for specific clinical conditions. Finally, t-tests were used to determine whether participating in a certain type of intervention (VA group, Internet, or self-practice; each coded dichotomously as “used” or “did not use”) was related to subjective improvement in clinical conditions. Data were analyzed using Statistical Package for the Social Sciences software, version 20.
+ 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!