Spss 22.0 program for windows

Manufactured by IBM

Sourced in United States

SPSS 22.0 is a data analysis software program for Windows. It provides tools for data management, statistical analysis, and visualization. The program is designed to handle a wide range of data types and offers a variety of statistical techniques.

Automatically generated - may contain errors

Lab products found in correlation

Close spelling variants of this product

SPSS program for Windows (version 22.0) SPSS 22.0 Statistical Package Program for Windows (SPSS; SPSS 22.0 Statistical Package Program for Windows SPSS 22.0.0.0 for Windows SPSS 22.0 for Windows SPSS 22.0 program SPSS 22 for Windows SPSS program for Windows SPSS 22.0 Windows 22.0 for Windows

7 protocols using spss 22.0 program for windows

Exercise Effects on Hematological Profiles

Check if the same lab product or an alternative is used in the 5 most similar protocols

In the analysis of data obtained from the results of the study, SPSS 22.0 program for Windows (Chicago, IL, USA) was used. The descriptive statistics were given as mean ± standard deviation (Mean ± SD). Repeated measures analysis of variance was used to assess the effects of exercise on hematological parameters with the time serving as the within-group factor followed by t-tests, with the Bonferroni correction for multiple comparisons. The level of p < 0.05 was considered as statistically significant. Additionally, the effect of size (Cohen’s d) was calculated.

Belviranli M., Okudan N, & Kabak B. (2017). The Effects of Acute High-Intensity Interval Training on Hematological Parameters in Sedentary Subjects. Medical Sciences, 5(3), 15.

+ Open protocol

+ Expand

Statistical Analysis of Experimental Data

Check if the same lab product or an alternative is used in the 5 most similar protocols

Results and statistical significance were analyzed using SPSS 22.0 Program for Windows, and the data are presented in mean ± standard deviation (SD). Group comparisons were conducted through an analysis of variance (ANOVA) test, followed by an LSD post hoc test. A p-value <0.05 is considered a significant difference.

Li J., Koonyosying P., Korsieporn W., Paradee N., Hutachok N., Xu H., Ma Y., Chuljerm H, & Srichairatanakool S. (2024). Deferiprone–resveratrol hybrid attenuates iron accumulation, oxidative stress, and antioxidant defenses in iron-loaded human Huh7 hepatic cells. Frontiers in Molecular Biosciences, 11, 1364261.

+ Open protocol

+ Expand

Atorvastatin Versus Placebo for Pain Relief

Check if the same lab product or an alternative is used in the 5 most similar protocols

Differences in baseline characteristics between placebo and ATORVA groups were assessed with a one-way analysis of variance (ANOVA) with significance set p<0.05. Data are reported as mean ± standard deviation (SD). Bivariate correlations were run to test for significant relationships between wellbeing, depression, and pain before and after 6mo of treatment vs. placebo. Repeated measures analysis of covariance (ANCOVA) tested between-group differences in the change of pain measures at 6 mo from baseline with sex and drug assignment as a fixed factor and baseline pain, age, and psychological health measures (i.e., PGWB, BDI) as covariates. Logistic regression tested the relationship between pain (severity or interference) as a binary outcome variable and depression or wellbeing as the independent predictor. Binary variables were created by coding patients as meeting the study definition of SAMS described above (study overview) or no SAMS. Furthermore, to capture any incremental changes in pain from baseline, but that did not meet the study definition of SAMS, binary variables were created by coding patients as having “any pain” (i.e., any changes in pain after 6 mo from baseline >1.0 of a possible 10 on the BPI scale) or “no pain”. All statistical analyses were performed using the Statistical Package for the Social Sciences (SPSS) 22.0 program for Windows (SPSS Inc, Chicago, IL).

Zaleski A.L., Taylor B.A., Pescatello L.S., Dornelas E.A., White C.M, & Thompson P.D. (2017). Influence of Baseline Psychological Health on Muscle Pain During Atorvastatin Treatment. The Journal of cardiovascular nursing, 32(6), 544-550.

+ Open protocol

+ Expand

Evaluating Normality and Central Tendency

Check if the same lab product or an alternative is used in the 5 most similar protocols

The measures of central tendency and dispersion and the normality of the sample distribution were verified. The mean values of the four assessments were compared with the repeated-measure ANOVA for different times. Mauchly's sphericity test was applied, and the Greenhouse-Geisser correction was used in the case of data whose sphericity was not assumed [38 ]. Afterward, the Bonferroni post hoc test was applied to the variables with statistical differences to verify between which assessments there were differences [38 ]. The statistical significance value was set at p < 0.05; the SPSS 22.0 program for Windows [39 ] was used.

Yamaguchi B., Iucksch D.D., Paladini L.H, & Israel V.L. (2022). Effects of an Aquatic Physical Exercise Program on Ventilatory Parameters in People with Parkinson's Disease. Parkinson's Disease, 2022, 2073068.

+ Open protocol

+ Expand

Dental Caries Progression Statistical Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols

The SPSS 22.0 program for Windows (SPSS, Chicago, IL, USA) was adopted to perform the statistical analysis. The occurrence of no obvious decay and obvious decay were the dependent variables. 24 Descriptive statistics were performed and multinomial regression was used to associate the stage of dental caries with the independent variables. Explanatory variables with a p-value ≤ 0.20 were selected for the multivariate analysis, and those having a p-value < 0.05 after making the adjustments for variables on the same and previous levels, were maintained in the final model. The odds ratio (OR) and 95% confidence intervals (CI) were calculated.

Fernandes I.B., Ramos-Jorge J., Coelho V.S., Pinto A.C.S., Pordeus I.A., Paiva S.M, & Ramos-Jorge M.L. (2022). Association between different stages of dental caries in preschoolers and familial socioeconomic factors. Brazilian oral research, 36.

+ Open protocol

+ Expand

Statistical Analysis of Numerical and Categorical Data

Check if the same lab product or an alternative is used in the 5 most similar protocols

SPSS 22.0 for Windows program (SPSS Inc., Chicago, IL, USA) was used for statistical analysis. Numerical data were expressed as means with standard deviation. Categorical data as frequencies with percentages. Comparison of categorical data between groups was made using the chi-square test and the results were given as n%. Whether the numerical data fit the normality distribution was evaluated using the Kolmogorov–Smirnov test. The Kruskal Wallis test was used in the comparison of the groups, as the numerical data did not conform to the normal distribution. Student-t and Mann–Whitney U tests were used to compare groups in pairs. In all comparisons, p < 0.05 was considered significant.

Salık F., Uzundere O., Bıçak M., Akelma H., Akgündüz M., Korhan Z., Kandemir D, & Kaçar C.K. (2021). Liver function as a predictor of mortality in COVID-19: A retrospective study. Annals of Hepatology, 26, 100553.

+ Open protocol

+ Expand

Sample Size Determination for Clinical Study

Check if the same lab product or an alternative is used in the 5 most similar protocols

To determine the sample size, the G-Power program, version 3.1.9.4 (Kiel College, Germany), was employed. The allocation ratio was assumed to be N2/N1:1 based on data from an earlier study, and the alpha error was set at 0.05, the power was 0.95, and the effect size was 1.187939. It was determined that 40 patients would be the bare minimum for the study 8 . SPSS 22.0 for Windows program (SPSS Inc., Chicago, IL, USA) was used for statistical analysis. Numerical data were calculated as mean and standard deviation. Results were expressed as percentages (n%) using the Chi-square test for comparison of categorical data between groups. Whether the numerical data fit the normality distribution was tested using the Kolmogorov-Smirnov test. As the numerical data were not normally distributed, the Kruskal-Wallis test was used to compare the groups. Student t-test and Mann-Whitney U-test were used to compare normally distributed pairwise groups. p = 0.05 was used to determine whether a comparison was significant.

Aktiz-Bıçak E., Kılıç Y., Elmastaş D., Bıçak M., Aldudak B, & Salık F. (2023). Comparison of ultrasound guidance and palpation technique for femoral artery catheterization in children undergoing cardiac surgery. Cirugia y cirujanos, 91(5).

+ 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?

Revolutionizing how scientists
search and build protocols!