To achieve Objective 1, we will test the difference between experimental and control groups on continuous and normally distributed outcome measures using analysis of covariance, with the dependent variable being the post-intervention measurement of the outcome, the covariate being the pre-intervention measurement, and group membership as the between-subjects effect. Descriptive statistics, including measures of skewness and kurtosis, will be used to assess departures from the assumptions of a normal distribution of responses. If the distribution contains extreme observations, a robust ANCOVA statistic will be adopted. To test differences between experimental and control groups on discrete outcomes, such as counts of number of times participants feel dizzy during their daily activities, we will use a Poisson regression model, with the dependent variable being a count of the number of relevant events, the covariate being the pre-intervention measurement, and group membership as the between-subjects effect.