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Spss statistics for macintosh version 21

Manufactured by IBM
Sourced in United States

SPSS Statistics for Macintosh, Version 21.0 is a statistical software package developed by IBM. It provides data management, analysis, and presentation capabilities. The software is designed to run on macOS operating systems.

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Lab products found in correlation

11 protocols using spss statistics for macintosh version 21

1

Nonparametric Statistical Analysis Protocol

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Statistical analysis was performed using SPSS Statistics for Macintosh, version 21.0 (IBM). Descriptive parameters are expressed as mean ± standard error (SE). For inter-group comparisons, non-parametric (Mann-Whitney U or Kruskal-Wallis test) tests were applied. Statistical significance was defined as P < 0.05 for all analyses.
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2

Statistical Analysis of Categorical Data

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Data were described using frequencies and percentages for categorical variables. Data were entered and analyzed using the IBM SPSS Statistics for Macintosh, Version 21.0 (IBM Corp., Armonk, NY).
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3

Bovine Sperm Cryo-preservation Optimization

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The study’s parameters were sperm motility, viability, intact plasma membrane, and CR. The study was divided into three groups: Bovine serum albumin incubation time (P) with P1 (40’), P2 (50’), and P3 (60’) min incubation in BSA, and freezing time with before freezing (BF) and after-thawing (AT) treatments. The data obtained in this study, such as motility, viability, abnormalities, intact plasma membrane, and conception rate, were tallied in the IBM SPSS Statistics for Macintosh, Version 21.0 (IBM Corp., NY, USA). An analysis of variance was used to examine all treatments.
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4

Analyzing Agonist-Induced Disaggregation

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Statistical analyses were performed using IBM SPSS Statistics for Macintosh, Version 21.0. (IBM Corp. Armonk, NY, Released 2012). Median and interquartile range of continuous variables are shown. Aggregation data were described as median and interquartile range and differences analyzed with the non-parametric Wilcoxon signed-rank test. Two-sided p values <0.05 were considered statistically significant.
Disaggregation in percent was calculated using the following formula: [(maximal aggregation − final aggregation)/maximal aggregation] × 100. Boxplots were used to depict disaggregation values in percent between the four agonists.
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5

Statistical Analysis of Survival Outcomes

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Analyses were carried out using commercial software (IBM SPSS Statistics for Macintosh, Version 21.0. Armonk, NY: IBM Corp). Normally distributed continuous variables were compared using the independent samples t-test. Mann–Whitney U tests were used to compare groups on any continuous variable with a significant deviation from normality at p<0.05 as measured using the Shapiro–Wilks test. Categorical variables were compared Fisher’s exact test. Survival curves were estimated using the Kaplan-Meier procedure. The hazard ratio was calculated using Cox’s regression model and the significance of differences between the two groups was measured by the Mantel–Cox log-rank test. All tests were two tailed with p<0.05 identified as significant.
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6

Statistical Analysis of Numerical and Categorical Data

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All statistical analyses were performed using IBM SPSS Statistics for Macintosh, version 21.0, released in 2012 (Armonk, NY; IBM Corp). The data are presented as a percentage for categorical variables, mean ± standard deviation (SD) for normally distributed data, and median (minimal–maximum) for non-normally distributed data. Bivariate analysis between both numerical datasets was performed with an unpaired t-test and a Mann–Whitney test for normally and non-normally distributed data, respectively. Bivariate analysis between categorical and numerical data was carried out with Fisher's exact test. The normality test was conducted with Shapiro–Wilk test.
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7

Diaphragm Muscle Thickness Measurement Reliability

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Statistical analysis was conducted using IBM SPSS Statistics for Macintosh, Version 21.0 (Armonk, NY: IBM Corp.). The assumption of normality was met, and parametric statistical methods were used exclusively. The assumption of sphericity was examined using Mauchly test and, ultimately, Greenhouse-Geisser corrections were made for violation of this assumption. A 1-way repeated-measures analysis of variance was used to look for differences in the diaphragm thickening fraction with body position as the only factor. Planned comparisons of supine versus sitting, supine versus standing, and sitting versus standing were conducted using a t test with Bonferroni correction for multiple comparisons. Statistical significance, for all tests, was set at P < .05 with 2-tailed distributions.
For intrarater reliability, the intraclass correlation coefficient (3, 3) were calculated from the 3 measurements of diaphragm muscle thickness at both peak-inspiration and end-expiration, in each test position. The time interval between the capture of these 3 images was 30 seconds, and the conditions of image capture remained entirely unchanged during this sequence.
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8

Statistical Analysis of Adverse Events in Phototherapy

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Demographic and descriptive data were expressed as absolute and relative frequencies for categorical variables, and as medians and interquartile range (IQR) for non-normally distributed quantitative variables. The χ2 test was used to compare AE incidence between phototherapy modalities or dermatoses treated; the Mann-Whitney test, to compare non-normally distributed quantitative variables; and a logistic regression model, to test significant associations from the univariable analysis. p-values < 0.05 were considered statistically significant. The magnitude of associations was measured using odds ratio (OR) with 95% confidence intervals (95% CI). All analyses were performed using IBM SPSS Statistics for Macintosh, Version 21.0 (IBM Corp., Armonk, NY, USA, 2012).
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9

Survival Analysis of DIC Treatments

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Results are presented as median or mean ± standard deviation. OS was defined as the time from DIC diagnosis to any cause death within 30 days. The Kaplan–Meier method was used to estimate survival rates depending on the source of infection, and a comparison between anti-DIC therapies was made using a log rank test. To assess the outcomes of the clinical treatments, 30-day survival was examined using a Cox proportional hazards model, and improvement of DIC state was analyzed by logistic regression models. For both analyses, the variables considered are as follows: aging, JAAM DIC score, APACHE-II score, implementation of PMX-HP, intravenous immunoglobulin, AT replacement therapy, and rTM preparation. Date and time of the data used for statistical variables for the JAAM DIC and APACHE-II scores were from before beginning DIC treatments. As for additional variables for the multivariate analysis, implementation of biliary drainage in the biliary tract infection group and mechanical ventilation in the respiratory tract infection group were included in each group analysis, respectively. Hazard ratios (HRs), odds ratios, and 95% confidence intervals (CIs) were determined for these variables. In all tests, P < 0.05 was considered statistically significant. Statistical analysis was performed using IBM SPSS Statistics for Macintosh, Version 21.0. (IBM, Armonk, NY, USA).
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10

Exercise and Body Image Disturbance in Anorexia Nervosa

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Normality of distribution was assessed using the inspection of skewness and kurtosis. Values of skewness between −2 and +2, and values of kurtosis between −7 and +7, were considered acceptable to prove normal univariate distribution [30 ,31 ].
First, we compared baseline BID between AN and HC groups using Student’s test to validate the basal postulate that BID is significantly higher in AN.
Correlation analyses were performed between baseline BID and exercise measures (GLTEQ and EAI scores) separately in patients and HC. All variables are reported with Pearson’s correlation coefficient (r) and their respective statistical significance, set at p < 0.05. To rule out the confounding effect of AN severity and psychopathology on the relationship between BID and physical exercise, we performed correlation analyses between BID and BMI, EDI-2 score, and duration of illness.
To ascertain the existence of a specific, exercise-induced aggravation of BID in AN, we compared exercise-induced BID variation between AN and HC using Student’s test.
All statistical analyses were performed using SPSS (IBM Corp. Released 2012. IBM SPSS Statistics for Macintosh, Version 21.0. IBM Corp., Armonk, NY, USA).
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