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Skip search results from other journals and go to results- 5 Journal of Medical Internet Research
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All baseline demographic characteristics, clinical variables, and baseline outcomes were compared using independent samples t test for continuous variables and chi-square test or Fisher exact test for categorical variables between the randomized assigned groups, as well as between participants who completed all follow-ups and who dropped out.
JMIR Mhealth Uhealth 2018;6(4):e104
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Inferential statistics such as ANOVA will be used to analyze the differences of baseline outcomes among the three groups, whereas chi-square tests will be used to compare the sociodemographics among the three groups.
To answer the hypothesis 1, repeated measures ANCOVA, adjusted for confounding variables (eg, age, ethnicity), will be used to test the effects of both interventions on maternal self-efficacy, social support, postnatal depression, and anxiety across four time points.
JMIR Res Protoc 2018;7(1):e35
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Differences in demographic characteristics between the two groups were examined by a chi-square test and t test. Interrater reliability was assessed using ICC. Changes between baseline and posttest scores were determined by a paired t test. Analysis of covariance (ANCOVA) was performed to evaluate the posttest scores between groups with baseline scores as a covariate. The comments for the two open-ended questions were coded and analyzed for recurring themes.
J Med Internet Res 2015;17(1):e5
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Chi-square tests and t tests were used to examine any differences in demographic characteristics between the two groups. Interrater reliability was assessed by intraclass correlation coefficient. Repeated measures analysis of variance (ANOVA) was used to analyze time and group differences in the performance scores. Descriptive statistics using means and standard deviation were performed to examine the participants’ perception of the virtual simulation.
J Med Internet Res 2014;16(9):e214
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