Spss statistics for macintosh version 25

Statistical analyses were performed using XLSTAT 2017 Version 20.5 (Addinsoft, Paris, France) and SPSS Statistics for Macintosh Version 25.0 (IBM Corporation, Armonk, NY, USA) at a significance level of alpha (α) = 5% (p < 0.05). Graphs were created using XLSTAT 2017 Version 20.5.
The sensitivity and specificity for both conventionally acquired and SyMRI-generated T1 and T2-weighted contrasts were calculated separately based on the evaluation of experienced and less experienced raters. Furthermore, total values for sensitivity and specificity were calculated on the basis of the assessment of all raters.
An interrater reliability was calculated using the Cohen coefficient (Cκ) and the Fleiss coefficient (Fκ). The Cκ was used to detect concordances between the assessment of raters 1 and 2 (experienced) and raters 3 and 4 (less experienced). The Fκ was used to detect the concordances of the assessment of all raters. According to Landis and Koch, κ was interpreted as follows: κ ≤ 0: poor agreement; 0 < κ ≤ 0.2: slight agreement; 0.2 < κ ≤ 0.4: fair agreement; 0.4 < κ ≤ 0.6: moderate agreement; 0.6 < κ ≤ 0.8: substantial agreement; 0.8 < κ ≤ 1: (almost) perfect agreement [30 (link)].
The determined values were complemented by the corresponding 95% confidence interval (CI).

Flight incidence, number of flights, distance travelled (m), flight duration (s) and mean speed (m/s) were selected as the dependent variables to estimate the flight performance of P. spumarius in both assays. In the seasonal pattern assay, we studied the effect of sex (male and female), origin (Madrid and Huelva) and season (spring, summer and autumn) on these parameters. The flight incidence was studied through a generalized linear model (GLMz) with a binomial distribution of errors and link logit. The number of flights, distance travelled, flight duration and mean speed (m/s) were analysed through a general linear model (GLM) after the transformation of the data (log₁₀ (x + 1)) to fit a Gaussian distribution. In the daily pattern assay, the effect of sex and time of the day (morning, afternoon and night) was studied on the same flight parameters using the GLMz and GLM. The models were analysed by maximum likelihood, and the most parsimonious model was selected relying on the R-squared value for the GLM and on AIC (Akaike Information Criterion) for the GLMz^{45 (link),46} . ANOVA tests with post hoc Tukey’s HSD tests were performed to study the differences between the groups. Finally, a paired correlation test (Pearson) between the flight parameters was performed. All analyses were performed with IBM SPSS Statistics for Macintosh, Version 25.0 software.