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Spss statistics software package version 23

Manufactured by IBM
Sourced in United States

SPSS Statistics software package, version 23, is a comprehensive and versatile data analysis tool designed to handle a wide range of statistical operations. The software provides users with a robust set of features to analyze data, perform statistical tests, and generate reports. It is a widely-used tool in various industries and academic settings for making informed decisions based on data-driven insights.

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Lab products found in correlation

7 protocols using spss statistics software package version 23

1

Evaluating Surgical Outcomes in Ankle Rehabilitation

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Statistical analysis was performed using the SPSS statistics software package, version 23 (IBM Corp, Armonk, NY, USA). To minimize measurement errors, two trained orthopedic surgeons performed a physical examination of the patients and evaluated the postoperative scars, and the mean values of any measurements were used. The Wilcoxon signed-rank test was used to compare the preoperative and postoperative values in the two study groups. The Mann–Whitney U test was used to compare the results between the two patient groups. The improvement in ankle dorsiflexion angle, GDI, GPS, ankle kinematics, ankle kinetics and percent anatomical lengths of gastrocnemius were also compared between groups. Values were presented as median (range). The level of significance was set at P < 0.05.
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2

Evaluating Wound Healing and Pain

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Data were reported in terms of mean, standard deviation and percentage of total number of cases in the text, whereas in Figures data were summarized and reported in terms of median values and quartiles. This allows depicting an overall meaningful summarization of the recorded data. The prevalence of re-epithelialization percentage was reported using the Kaplan Meier plot. The wilcoxon test was used to compare the scores of VAS given for pain before and after the intervention. The software used for the statistical analysis was the IBM SPSS Statistics software package version 23 (IBM Corp., Armonk, NY, USA).
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3

Mediation Analysis of Food Technology Perceptions

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By repeated measurement analysis of variance, we examined whether the disgust response, risk perception, benefit perception, and WTE/WTD were different for the separate food technologies. Mediation models were used to test the suggested associations according to the model depicted in Fig. 1. Separate mediation models were tested for each food technology application regarding WTE/WTD and risk and benefit perceptions. All mediation analyses were done by using the PROCESS macro (Hayes, 2013) in IBM SPSS statistics software package, version 23 (SPSS Inc., Chicago, IL, USA). To rule out an association between disgust responses to new technologies and WTE/WTD that are not due to disgust toward meat, fish, or milk in general, partial correlation analyses were used. Thus, correlations between disgust responses and WTE GM meat, edible nanotechnology coating film, and artificial meat were controlled for general disgust toward meat. The correlation between disgust response and WTE GM fish was controlled for general disgust toward fish. Finally, the correlation between disgust response and WTD artificial milk was controlled for general disgust toward milk.
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4

Comparing PET Reconstruction Methods

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Statistical analyses were undertaken using IBM SPSS statistics software package, version 23. For all patients, the difference in the TBR metrics (max, 90, 70 and 50) were compared between the two reconstruction methods and iterations using paired t-test. The statistical analyses were performed with a 95% confidence interval (CI), and a P-value of ≤ 0.05 was considered to be statistically significant.
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5

Fibrinogen Reduces Postoperative Bleeding

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The distribution of the data was tested using Smirnov-Kolmogorov test. All data are expressed as median (Percentile 25-Percentile 75) and numbers (percentages) as appropriate. To account for differences in baseline and clinical characteristics, a one-to-one propensity score matching was realized. Matching without replacement was used. Categorical variables used for exact matching were the type of surgery and eventual redo surgery. No continuous variables were used for matching. The use of CPB time led to poor matching. A McNemar test and a Wilcoxon-paired test were used to, respectively, compare categorical and quantitative variables between the matched groups. A previous analysis of our cardiac surgical patients revealed mean postoperative bleeding of 950 ± 700 mL in the first 12 h postoperatively. We hypothesized that with the administration of human fibrinogen, the 12 h postoperative bleeding would decrease to 600 mL. To demonstrate this, at least a total number of 63 patients were required in each group with a power of 80% and a two-sided α-error at 0.05.
All P values were two-sided and were considered to be statistically significant if <0.05. Statistical analysis was carried out using IBM® SPSS® Statistics Software Package version 23.
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6

Nonparametric Statistical Analysis of Data

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Statistical analyses were performed using analysis of variance on ranks with the pair-wise Wilcoxon signed rank test or the nonparametric Kruskal-Wallis test, available in the SPSS statistics software package version 23 (IBM, Armonk, NY). P < 0.05 was considered statistically significant.
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7

Statistical Analysis of Metabolic and Sleep Outcomes

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Statistical analyses were conducted using IBM ® SPSS ® Statistics software package version 23 (IBM Corporation). AUC was calculated using the trapezoidal method with the baseline set as the value measured immediately after bedtime snack ingestion for the evening period and at 0 min for the next morning period (see Fig. 1). One-way repeated-measures ANOVA were conducted to examine differences in RMR, RER, estimated carbohydrate oxidation and fat oxidation rates, energy intake at ad libitum breakfast, 24 h post-trial energy intake, HOMA-IR, the AUC of subjective appetite and thirst assessments, actual sleep time, sleep latency, fragmentation index and the four domains of sleep in the LSEQ. Two-way repeated-measures ANOVA was conducted to test for treatment, time and treatment × time interaction effects on subjective assessments of hunger, fullness, desire to eat and thirst and also glucose and insulin concentrations. Where a significant treatment and/or interaction effect was detected, Bonferroni post hoc test was used to determine specific differences for both one-way and two-way repeated-measures ANOVA. Statistical significance was determined at an α level of P < 0•05, and data were reported as mean with standard errors unless specified otherwise.
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