The outcome variable was ROM, measured at hospital discharge at the joint level using degrees converted to a proportion of typical ROM. Model discrimination was assessed using the Area Under the Receiver operating characteristic curve (Harrell's C statistic). The models were developed using ...
Contingency tables summarize results where you compare two or more groups when the outcome is a categorical variable (such as disease vs. no disease, pass vs. fail, artery open vs. artery obstructed). Most often, a contingency tables has two rows and two columns, so is called a '2x2 con...
Which is the correct statement? a. 27.4% of the variance in the dependent variable is accounted for by the combined effect of the two independent variables. b. The regression model is not statistically significant. c. Political skill is stronger than valued at work in explaining variance in th...
When an instruction is given to operate the player via the controller 8, a delay time, which is variable according to the player's capability and the motivation level, may be provided for the timing at which the instruction signal has been generated, and the instruction signal may be then ...
In contrast, parents of children with COVID-19 experienced more fluctuating challenges, particularly in terms of ‘exhaustion’ and ‘anxiety’, leading to more variable responses. The health and well-being of parents are influenced by both ‘caring for’ and ‘caring about’ their children, ...
In an ANOVA, the independent variable can also be referred to as afactor. You see this more commonly when a two-way (or factorial) ANOVA is... Learn more about this topic: ANOVA Test Definition, Purpose & Examples from Chapter 21/ Lesson 16 ...
Binary logistic Regression analysis is used with odds ratio (OR) expression and its 95%confidence interval (95%CI) to estimate the relationships between a binary categorical dependent variable (outcome) and other independent variables (predictors), while linear regression used in case of numerical ...
Analysis of the normality of the distribution (skewness cut-off = 2; kurtosis cut-off = 3) and outlier removal were conducted on each dependent variable. The following inferential analyses were planned: Lastly, linear regressions separately for each group (Low Comprehenders, High Comprehenders, ...
In a regression analysis, a residual is defined as: (a) The difference between the actual value and the predicted value of the dependent variable. (b) The difference between the actual value and the predicted value of the independent variable. (c) The pro ...
We provide selected descriptive statistics in Table 1, with the full descriptive statistics for each categorical variable available in Appendix Sect. 1. Table 1 Descriptive statistics Full size table 3.2 Dependent Variable The measurement of political trust is a central issue in social indicators and ...