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Chi-square tests were used for categorical variables, and t tests (2-tailed) were used for continuous variables to compare the 2 groups. To describe the samples, we used means for continuous variables and counts and percentages for categorical variables. For preliminary bivariate analyses, the predictors tested included demographics, depression and anxiety, mental health stigma, COVID-19–related behaviors and stressors, and behavioral health service use (including adjustment for follow-up nonresponse).
JMIR Form Res 2025;9:e67082
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To compare if the proportion of asynchronous ATT systematically changed for all patients across the program duration, we used a 2-sided t test to compare the beta coefficients to 0 (see section “Assessing Training Consistency” in the Methods).
JMIR Serious Games 2025;13:e69335
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Differences between Spanish- and English-speaking groups were assessed using independent samples t tests for continuous variables and chi-square tests for categorical variables. A logistic regression analysis was conducted to evaluate factors associated with FIT test opt-in rates, controlling for age, gender, geographic location, and call duration. The model’s goodness of fit was assessed using the Hosmer-Lemeshow test, and model performance was evaluated using Nagelkerke R².
J Med Internet Res 2025;27:e71211
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