Spss statistical software version 21

Manufactured by IBM

Sourced in United States

SPSS Statistical Software Version 21.0 is a comprehensive data analysis tool that enables users to perform a wide range of statistical analyses. It provides a user-friendly interface for data management, data analysis, and presentation of results. The software supports a variety of statistical techniques, including regression analysis, factor analysis, and time series analysis, among others.

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Lab products found in correlation

Spss statistics for windows version 21, by IBM (2 mentions) Prism 5, by GraphPad (2 mentions) R software version 4, by R Project for Statistical Computing (1 mentions) Sas statistical software, by SAS Institute (1 mentions) R version 3, by R Project for Statistical Computing (1 mentions) Spss statistics 27, by IBM (1 mentions) Ms excel 2003, by IBM (1 mentions) Spss statistical software, by IBM (1 mentions) Matlab, by MathWorks (1 mentions) Magnetom avanto, by Siemens (1 mentions) Prism software version 8, by GraphPad (1 mentions)

275 protocols using spss statistical software version 21

Revision Surgery Risk Factors

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Metric data are presented as the mean values with a 95% confidence interval (CI), and categorical variables are presented as absolute frequencies and percentage distributions. Student’s t-test or Mann–Whitney test was used for metric data, and chi-square test or Fisher’s exact test was used for categorical data. Univariate logistic regression analysis was used to assess the risk factors associated with revision surgery. All statistical analyses were performed using SPSS statistical software version 21 (IBM Co., Armonk, NY, USA), and a statistical significance was set at p < 0.05.

Yoon J.Y., Byun S.E, & Cho Y.H. (2024). Fixation of femoral neck fracture with femoral neck system: a retrospective cohort study of 43 patients. BMC Musculoskeletal Disorders, 25, 8.

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Statistical Analysis of Experimental Data

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All experimental data are expressed as means±standard error of the mean.
Statistical significance for measured variables was determined by one-way
analysis of variance for the comparison of the mean values of variables among
the groups. Bonferroni’s test was used to identify the significance of pair-wise
comparison of mean values among the groups. Statistically significant
differences were accepted at p<0.05. Statistical group
analysis was performed with SPSS statistical software version 21, IBM Corp.

Aremu A.O., Lilian D.C., Olufemi S.A, & Aderemi O.L. (2019). Combined but not single treatment with ethinylestradiol/levonorgestrel and spironolactone reduces plasminogen activator inhibitor-1 in insulin-resistant ovariectomised rats. Journal of the Renin-Angiotensin-Aldosterone System: JRAAS, 20(4), 1470320319895933.

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KRAS Mutation Impact on Recurrence in Cancer

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Patients were subdivided into wild-type KRAS and mutant KRAS cohorts. The primary objective was to investigate the effect of KRAS mutation on the TTR. TTR was defined as the time from the date of operation to the date of local or metastatic recurrence. As of November 2014, overall survival data are not yet available for the mutant KRAS group. Data from recurrence-free patients were censored at the date of the last follow-up.
To compare baseline characteristics, categorical outcomes were analyzed using the chi-square test or Fisher’s exact test. Continuous variables are presented as medians and ranges. TTR and OS were calculated using the Kaplan-Meier method, and data was compared using the log-rank test. The Cox proportional hazard model was used to assess hazard ratios (HRs) of prognostic factor. All factors of statistical significance (p < 0.10) in univariate analysis were included in the multivariate analysis. Two-sided p values of <0.05 were considered as statistically significant. All statistical analyses were performed using the SPSS statistical software version 21 (IBM, Armonk, NY. USA).

Kim H.S., Heo J.S., Lee J., Lee J.Y., Lee M.Y., Lim S.H., Lee W.Y., Kim S.H., Park Y.A., Cho Y.B., Yun S.H., Kim S.T., Park J.O., Lim H.Y., Choi Y.S., Kwon W.I., Kim H.C, & Park Y.S. (2016). The impact of KRAS mutations on prognosis in surgically resected colorectal cancer patients with liver and lung metastases: a retrospective analysis. BMC Cancer, 16, 120.

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Statistical Analysis of Ophthalmic Outcomes

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The data were analyzed using SPSS statistical software version 21 (IBM Corp., Armonk, New York, USA). Normal distribution of continuous variables was verified using the Kolmogorov–Smirnov test and a Q-Q plot. Pre-operative and postoperative visual and refractive outcomes were compared using paired t-test and Wilcoxon singed rank test in normal and non-normal continuous variables, respectively. Pearson correlation coefficient evaluated the relationship between normally distributed continuous variables, and Spearman correlation was used for non-normal variables. multivariate analysis was performed and included variables that were statistically significant at the univariate level (P < 0.05). This analysis included a logistic regression of binary and ordinal variables, and a multiple regression of continuous variables. Odds ratios (OR) with 95% confidence intervals (95% CI) were calculated from the logistic regression models. Only correlations found statistically significant by multivariate analysis were reported. P values < 0.05 were as statistically significant. All reported P values are 2-sided.

Feizi S., Javadi M.A., Ghasemi H, & Javadi F. (2015). Effect of Donor Graft Quality on Clinical Outcomes After Penetrating Keratoplasty for Keratoconus. Journal of Ophthalmic & Vision Research, 10(4), 364-369.

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Intestinal Microbiome Statistical Analysis

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Median values and statistical calculations for the different study groups were calculated using IBM SPSS Statistical Software version 21 (IBM Corp. released 2012. IBM SPSS Statistics for Windows, Version 21.0. Armonk, NY: IBM Corp.). The Kruskal-Wallis median test was used to measure significant differences over the groups in intestinal bacterial samples. If these were less than 0.05, post hoc pairwise comparisons with the Mann-Whitney U test were performed. In the case of less than three different study groups, the Mann-Whitney U test was used. A p-value of less than 0.05 was considered statistically significant. Bonferroni correction to control multiple testing was implemented, the p-value cutoffs defined as 0.05/7 bacterial groups = 0.007. Correlations were calculated with Spearman’s rho.

Tuomisto S., Huhtala H., Martiskainen M., Goebeler S., Lehtimäki T, & Karhunen P.J. (2019). Age-dependent association of gut bacteria with coronary atherosclerosis: Tampere Sudden Death Study. PLoS ONE, 14(8), e0221345.

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Evaluating ACR TI-RADS for Thyroid Nodule Assessment

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Data analysis was conducted in May 2021 using SPSS statistical software version 21 (IBM). Sensitivity, specificity, positive predictive values (PPVs), and negative predictive values (NPVs) were calculated by comparing ACR TI-RADS recommendations for FNAC with cytology and ACR TI-RADS with histopathology. Results were analyzed by the Pearson χ² test (2-sided) for categorical variables of benign or malignant nodules, with a significance level of P < .05.

Huang E.Y., Kao N.H., Lin S.Y., Jang I.J., Kiong K.L., See A., Venkatanarasimha N., Lee K.A, & Lim C.M. (2023). Concordance of the ACR TI-RADS Classification With Bethesda Scoring and Histopathology Risk Stratification of Thyroid Nodules. JAMA Network Open, 6(9), e2331612.

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Droplet Diameter Measurement Protocol

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The experiments were conducted with three replicates. For the experiment that determines the effect of variables on droplet diameter, a total of 900 droplets were measured (N = 900). The generated data were analysed with Excel (Microsoft Corp., Redmond, MA, USA) to calculate the mean, standard deviation (SD), standard error of the mean (SEM) and coefficient of variation (CV). Student’s t-test was conducted in order to compare two means while one-way ANOVA with Tukey’s HSD was conducted to compare several means by using IBM SPSS statistical software version 21. The difference between the means was considered significant at p < 0.05.

Mohd Isa N.S., El Kadri H., Vigolo D, & Gkatzionis K. (2022). The Effect of Bacteria on the Stability of Microfluidic-Generated Water-in-Oil Droplet. Micromachines, 13(12), 2067.

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Predictors of Growth Impairment in cSLE

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Descriptive data were reported for normally distributed variables as mean and standard deviation (SD), for non-normally distributed variables as median and interquartile range (IQR), and frequency as a percentage. Parameters of cSLE between normal growth and growth impairment groups were compared using independent-sample t-test and Mann–Whitney U test for continuous data, and chi-squared test and Fisher’s exact test for categorical data. The area under the receiver-operating characteristic curve was calculated to determine the cutoff value of cumulative doses of corticosteroids in predicting growth impairment. Logistic regression analysis was performed to determine the predictors of growth impairment in cSLE patients and presented as odds ratio (OR). Significance was set at P < 0.05. Statistical analysis was performed using SPSS statistical software version 21 (IBM, Armonk, NY, USA).

Ponin L., Poomthavorn P., Pirojsakul K., Lerkvaleekul B., Soponkanaporn S., Chitrapazt N, & Vilaiyuk S. (2022). Long-term growth and final adult height outcome in childhood-onset systemic lupus erythematosus. Pediatric Rheumatology Online Journal, 20, 4.

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Analyzing Online and Community College Experiences

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Descriptive statistics and frequency distribution (reported in percentages) were performed using commercially available software (IBM SPSS Statistical software, version 21). Descriptive statistics were used to describe distribution of responses to each of the three scenarios and participants’ views and experiences of online and community college courses. Participants’ personal experiences with online courses, and the potential relationship between these experiences and their perception of applicants’ previous coursework was analyzed through the use of Chi Square (with significance set at 0.05).

Kogan L.R., Stewart S.M., Schoenfeld-Tacher R, & Hellyer P.W. (2015). Perceptions of veterinary admissions committee members of undergraduate credits earned from community colleges or online compared to traditional 4-year institutions. Open Veterinary Journal, 5(1), 71-84.

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Parental Attitudes and Pain Assessment

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Descriptive statistics were utilized to analyze parent responses on attitudes and pain assessment. Means and standard deviations were reported for normally-distributed data and medians and interquartile ranges (IQR) were reported for skewed data. Hierarchical linear regression analyses were conducted to examine whether parental attitudes and beliefs regarding pain and use of analgesics predicted pain assessment and management. Children’s age and gender were controlled for in regression analyses in order to account for developmental and gender-socialization confounding effects on parents’ assessment of pain. Statistical significance was determined by p values < 0.05. Analyses were completed using SPSS statistical software version 21 (IBM, Armonk, N).

Rosales A., Fortier M.A., Campos B, & Kain Z.N. (2016). Postoperative Pain Management in Latino Families: Parent Beliefs about Analgesics Predict Analgesic Doses Provided to Children. Paediatric anaesthesia, 26(3), 307-314.

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