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The Pearson chi-square test was used to test whether there was an association between categorical variables, and the Cramer V value indicated the effect size [20]. Measures of correlation and the effect size for ordinal variables were calculated using Stuart-Kendall Tau-c [21]. The level of statistical significance was set at α=.05 (P≤.05). According to Cohen d, effect sizes that assume a value smaller than |0.1| are not relevant and were therefore not reported.
J Med Internet Res 2025;27:e66027
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Addendum to "Harnessing ChatGPT for Thematic Analysis: Are We Ready?"
J Med Internet Res 2025;27:e68963
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In our proposed visualization tool, mind LAMPVis, we support the following visualizations (V) of active (A) and passive (P) data:
MCA trend (V1 A) of survey data (Figure S1 in Multimedia Appendix 1),
MCA eigengap (V2 A) of survey data (Figure S2 in Multimedia Appendix 1),
Date-clustering (V3 A) of survey data (Figure 1),
Home time (V1 P) of significant locations data (Figure 2),
Significant location (V2 P) of significant locations data (Figure 2).
JMIR Form Res 2025;9:e70073
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