The results of the analyses of the clinical and demographic characteristics as well as the categorical variables are presented as absolute numbers and percentages, and the continuous variables are presented as the means and standard deviations. For studies of the associations between the categorical variables, the chi-square test, and Fisher's exact test were used. For associations between the continuous variables, Student's t-test was used. The null hypothesis was rejected when the probability was less than 5% (P < 0.05). We used IBM SPSS Statistic software, version 23.
Spss statistic software version 23
Manufactured by IBM
Sourced in United States
SPSS Statistics is a software package used for statistical analysis. Version 23 provides a comprehensive set of tools for data management, analysis, and presentation. The software offers a wide range of statistical procedures, including regression, correlation, and hypothesis testing, to help users gain insights from their data.
Automatically generated - may contain errors
Lab products found in correlation
5 protocols using spss statistic software version 23
1
Statistical Analysis of Clinical Data
2
Diagnostic Accuracy of vHIT Paradigms
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Statistical analyses were carried out using the IBM SPSS Statistic Software Version 23, IBM Corp., Armonk, NY, USA. Based on the skewness and kurtosis statistics, the variables were judged to be normally distributed when the skew and kurtosis levels were <|2.0| and <|9.0|, respectively [18 (link),19 (link)]. Descriptive statistics were calculated for all variables of interest, and data are presented as mean and standard deviation. A paired samples t-test was performed to analyze differences in the VOR gain during SHIMP and HIMP paradigms in the acute phase (T0) and during a follow-up (T1). Diagnostic accuracy for the two vHIT paradigms was performed using the Receiver Operating Characteristic (ROC) curve analysis with MedCalc software (Ostend, Belgium). The significance level was set at p < 0.05.
3
Statistical Analysis of Continuous and Categorical Variables
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Statistical analyses were performed using IBM SPSS statistic software, version 23. Continuous variables are presented as means ± SD, and dichotomous/categorical variables are presented as proportions. The normality of the distribution of continuous variables was tested by the Kolmogorov–Smirnov test, and the Chi-square test was used in order to evaluate and examine proportions. P <.05 was considered as statistical significance.
Simple Linear regression analysis was conducted to predict the relation between 2 variables using Microsoft Excel software (2016).
Simple Linear regression analysis was conducted to predict the relation between 2 variables using Microsoft Excel software (2016).
4
Normality Testing and Statistical Analysis
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Normality of the data was tested using Kolmogorov–Smirnov test. All analysis (Chi-square test, two-samples t-test, Mann–Whitney U, Kruskal–Wallis, Spearman correlation, linear regression, and Receiver Operating Characteristics “ROC”) were performed using IBM SPSS Statistic software version 23 (IBM Corporation, USA). The results of continuous variables are provided in mean (95% K & Sr peaks CI) and median (IQR) and of categorical variables in percentages (%). When the P-value was < 0.05 the result was considered as statistically significant, and the degree of the differences are marked as: *p < 0.05, **p < 0.01, ***p < 0.001, and ****p < 0.0001. All figures were created with GraphPad Prism 9.0.1.
5
Investigating Bias in Food Choices
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IBM SPSS Statistic software version 23 was used to conduct the analyses. Bias scores, reflecting the reaction time scores to pull the joystick (i.e. select the item) relative to pushing the joystick (i.e. rejecting the item), were subjected to a 2 x 2 x 2 (Categorisation Decision Required [healthy vs tasty]) x (Tastiness [tasty vs not-tasty]) x (Healthiness [healthy vs unhealthy]) repeated measures Analysis of Covariance (ANCOVA), with the standardised score of Healthy Shopping Success as a continuous covariate. Follow-up analyses were to be carried out provided that the 4-way interaction with the covariate of Healthy Shopping Success was significant. This will be done by dichotomising participants into high and low success healthy shoppers on the basis of a median split carried out on Healthy Shopping Success scores.
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