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Spss statistics version 26.0 for windows

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SPSS Statistics version 26.0 for Windows is a software package used for statistical analysis. It provides a comprehensive set of tools for data management, analysis, and visualization. The software is designed to handle a wide range of data types and offers a variety of statistical procedures, including descriptive statistics, regression analysis, and hypothesis testing.

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Lab products found in correlation

44 protocols using spss statistics version 26.0 for windows

1

Postoperative Opioid Consumption in Laparoscopic DIE Resection

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Postoperative opioid consumption in the first 24 h after surgery was considered the primary efficacy variable. Based on an unpublished pilot study with 20 patients undergoing laparoscopic DIE resection where a mean morphine and mean oxycodone consumption of 20 and 15 mg, respectively (standard deviation of 5 mg) was used. The calculated sample size was 23 individuals in each group (α = 0.05; power = 0.9). Finally, 25 patients in each group were planned for inclusion.
The normality of continuous data was tested using the Shapiro–Wilk test. Normally distributed parameters were presented as mean ± standard deviation and analysed using the Student’s t-test. Non-normally distributed parameters were presented as medians [interquartile range (IQR)] and analysed using the Mann–Whitney U test. The Bonferroni correction was used for multiple measures. Categorical data were described as numbers or percentages and analysed with the chi-square or Fisher’s exact tests, as appropriate. The difference in continuous variables over time was tested by the repeated-measures analysis of variance. Statistical significance was defined as p < 0.05. SPSS Statistics version 26.0 for Windows was used to perform all analyses [10 ].
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2

Continuous Data Analysis Protocol

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The normality of continuous data was tested using the Shapiro–Wilk test. Normally distributed parameters are presented as ( x¯ ± s) and were analyzed using the Student’s t-test. Non-normally distributed parameters are presented as median M (P25, P75) and were analyzed using the Mann–Whitney U test. The difference in continuous variables over time was tested using two-way repeated measures ANOVA. Categorical data were described as numbers or percentages and analyzed with the χ2 test. Risk factor analysis of CPSP was performed using binary logistic regression.
Statistical significance was defined as p < 0.05. SPSS Statistics version 26.0 for Windows was used to perform all analyses.
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3

Evaluating HOS Treatment Outcomes

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Only fully filled questionnaires from patients who completed treatment with HOS were evaluated. Statistical analysis was performed using SPSS statistics version 26.0 for Windows (SPSS Inc., Chicago, USA). Descriptive statistic was carried out to describe the frequencies and Pearson’s Chi Square test was used to determine significant differences. A p value of 0.05 was considered significant.
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4

Oxidative Stress Biomarker in Atrial Fibrillation

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Quantitative data are given as mean 6 SD. Statistical analyses were performed using SPSS Statistics Version 26.0 for Windows (SPSS, Chicago, IL) and GraphPad Prism Version 8.0 (GraphPad Software, San Diego, CA). If data were not normally distributed, then log10 transformation was performed before statistical analysis. One-way analysis of variance (ANOVA) and post hoc Tukey tests were used to assess 8-OHdG levels in each group. Two-way ANOVA and post hoc Tukey tests were used to assess sex differences. Differences in clinical characteristics between control, PAF, and PeAF were tested with 1-way ANOVA, Kruskal-Wallis test, and c 2 test. Differences in clinical characteristics between patients with and those without AF recurrence were tested with independent-samples Student t test, Mann-Whitney test, and c 2 test. Levels of 8-OHdG in patients with or those without AF recurrence in the AF group and levels of 8-OHdG in patients with or those without POAF in the SR group were compared using the nonparametric Mann-Whitney test. Linear regression was used for age, body mass index (BMI), hypertension, diabetes, and antiarrhythmic drug class I (AAD-I) correction. A receiver operating characteristic (ROC) curve was used to analyze the diagnostic power of 8-OHdG. All P values were 2-sided, and P ,.05 was considered significant.
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5

Evaluating Adolescent Self-Reported EBPs

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SPSS statistics version 26.0 for Windows was used for all data analyses. To assess the reliability of the YSR, Cronbach’s alphas and item-total correlations were computed. Analysis of variance was used to assess group differences for continuous variables. Hedges’ g was computed to indicate effect sizes when comparing two groups. Multiple regression analyses were done to explore correlates of self-reported EBPs. The first model included the following control variables: area of residence, type of school, caste/ethnicity, and parental education. Adolescent factors: age, gender, academic performance, negative/traumatic life events, and chronic physical illness/disabilities were then added to the first model to determine differences in the explained variances (R2). Partial eta squared was used to measure the effect sizes. We used a significance level of 0.01 for all tests.
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6

Examining Child Behavioral Patterns

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The ASEBA data management and SPSS statistics version 26.0 for Windows were used for all analyses. First, bivariate correlations (Pearson correlation and Kendall’s tau-b) were examined to assess the association between child internalizing or externalizing behaviors and family variables. Then, multiple regression analyses were done to assess the associations between the different independent variables and child behavior problems. In these regression analyses, all the independent variables entered the model. Child age, child gender, and traumatic life events were used as control variables. Main effects of the different correlates were then tested. Partial eta squared was selected for measuring the effect size. The significance level used for all tests was 0.005.
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7

HER2-Negative Breast Cancer Survival Analysis

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RFS and OS were analyzed in the entire HER2-negative population as well as within each subgroup, i.e. ER-positive with HER2-negative group and TNBC group. RFS was defined as the time from the date of the study enrollment to the first date of disease recurrence, and OS was defined as the time from the date of the study enrollment to the date of a patient’s death from any cause. The probability of patient survival was estimated using the Kaplan–Meier method and Cox regression analysis. Multivariate Cox proportional hazards regression analyses were performed using the following clinical parameters: patient age at the time of diagnosis; clinical tumor stage; lymph node status; hormone receptor status; and HER2 positivity. All statistical tests were conducted using IBM SPSS Statistics version 26.0 for Windows (SPSS, Inc./IBM Co.), and a value of p < 0.05 was considered statistically significant.
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8

Psychosocial Factors and Fruit/Vegetable Intake

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Two-group comparisons were performed using Student t-test for the continuous variables and Pearson’s Χ2 test for the categorical variables. The relationship between daily F&V consumption and psychosocial factors was analyzed by Spearman’s rank correlation analysis.
All statistical analyses were performed using SPSS Statistics Version 26.0 for Windows (SPSS Inc., Chicago, IL, USA).
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9

Xenograft Hep G2 Cells in SCID Pigs

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All statistical analyses were performed with the SPSS statistics Version 26.0 for Windows (IBM Corp., Armonk, NY, USA). Descriptive data was compared using Chi-Square and Mann-Whitney U tests. P value less than 0.05 was considered statistically significant.
A total of eight X-linked (Il2rg)-targeted (IL2 RG-KO/Y) SCID pigs underwent orthotopic implantation of Hep G2 cells (0.5–2 × 107 cells) between days 44 and 49. At the time of implantation, the body weight (BW) ranged from 6.6 to 15.6 kg. Blood samples were taken from four pigs (No. 5–8), ultrasonography was performed in all eight pigs every 7 days after implantation. CTAP/CTHA was performed in five pigs (No. 3, 4, 5, 6, and 8). Necropsy was performed on all pigs between days 77 and 88 (weighing 8.0–30.4 kg).
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10

Microshear Bond Strength and Smear Layer Removal

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IBM SPSS Statistics version 26.0 for Windows was used to analyze the data (IBM SPSS Statistics, South-Asia, Pvt Ltd., Bangalore: IBM Corp). One-way analysis of variance (ANOVA) and Tukey’s post hoc tests for intergroup comparisons at a 95% confidence limit (P ≤ 0.05) were used to compare microshear bond strength and smear layer removal among the four groups. The failure patterns were compared using the Chi-squared test.
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