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Spss statistics 26.0 for mac

Manufactured by IBM
Sourced in United States

SPSS Statistics 26.0 for Mac is a comprehensive software package designed for statistical analysis. It provides a wide range of tools and capabilities for data management, analysis, and visualization. The software is compatible with the macOS operating system and offers a user-friendly interface for conducting various statistical procedures.

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Lab products found in correlation

3 protocols using spss statistics 26.0 for mac

1

Macular Hole Morphology and Outcomes

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Comparisons in baseline clinical features and postoperative outcomes between eyes with smooth and bumpy borders were performed. The follow-up time windows were +/− 1 week at 1 month and +/− 1 month at 10 months postoperatively. BCVA was converted to the logarithm of the minimum angle of resolution (logMAR). Continuous variables were presented as mean ± SD and analyzed using Student’s t test (normally distributed data) or Mann-Whitney U test (non-normally distributed data). For categorical variables, which were given in proportions, Fisher’s exact test or χ2 test was used as appropriate. Multivariate regression analysis was conducted to evaluate the association between the MH morphology and surgical outcomes. All analyses were conducted using SPSS Statistics 26.0 for Mac (IBM, Chicago, IL, USA). p < 0.05 was considered statistically significant.
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2

Assessing ICU Patients' Transfer Anxiety

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IBM SPSS Statistics 26.0 for Mac was used to analyze all data. Means and standard deviation were used to describe the continuous variables, reported as mean ± SD, while frequency and percentage were used to summarize categorical variables. Total score rate or score rate of each dimension = total score rate and score rate of each dimension = average score/theoretical maximum × 100 %.
Differences based on gender and type of department were analyzed by independent T-test. One-way ANOVA was used to examine differences between ICU patients' transfer anxiety scales and other demographic information. Scheffe's test was adopted as post-test of one-way ANOVA. After the results of one-way ANOVA, multiple linear regression analysis was adopted to analyze data. Based on the total scores obtained, the relationship between knowledge, attitude, and practice was used Pearson correlation coefficient. P ≤ .05 was considered significant for all statistical analyses.
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3

Executive Function and Cognitive Impairment

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Statistical analyses were performed with IBM SPSS statistics 26.0. for Mac (SPSS Inc., Chicago, IL, USA) and Rstudio (v1.1.463). P-values <.05 were considered statistically significant.
Impairments or deficits (–2 SD or –1SD) in executive functioning, memory, and psychomotor speed were chosen as primary outcome measures.
All baseline characteristics were expressed as frequencies (n, %), means and medians.
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