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Informal Caregivers Connecting on the Web: Content Analysis of Posts on Discussion Forums

Informal Caregivers Connecting on the Web: Content Analysis of Posts on Discussion Forums

Using a codebook thematic analysis approach to examine the data [40] with Dedoose (Socio Cultural Research Consultants), 2 researchers (MLF and CE) read through all the posts and coded the data. The entire author group discussed the codes, refined them reiteratively, and identified themes within the data. The author group also resolved any coding disagreements and resulting frequencies of each theme through discussions and collective agreements.

Michelle L Foster, Chinenye Egwuonwu, Erin Vernon, Mohammad Alarifi, M Courtney Hughes

JMIR Form Res 2025;9:e64757

Identifying Health-Related Discussions of Cannabis Use on Twitter by Using a Medical Dictionary: Content Analysis of Tweets

Identifying Health-Related Discussions of Cannabis Use on Twitter by Using a Medical Dictionary: Content Analysis of Tweets

A coding procedure (Multimedia Appendix 1 contains the complete codebook) was used to determine if each post pertained to a health-related motivation for cannabis use, a perceived adverse health effect of cannabis use, or neither. Two trained coders double coded each post independently, with κ values ranging from 0.790 to 0.856. Discrepancies were resolved by the two coders and the first author. This analysis served as a validation procedure for the rule-based classifier.

Jon-Patrick Allem, Anuja Majmundar, Allison Dormanesh, Scott I Donaldson

JMIR Form Res 2022;6(2):e35027

Peer Support Specialists’ Perspectives of a Standard Online Research Ethics Training: Qualitative Study

Peer Support Specialists’ Perspectives of a Standard Online Research Ethics Training: Qualitative Study

The codebook included codes inductively derived from qualitative data [14]. KLF and SRM read transcribed qualitative data. Codes were independently assigned to text, grouped, and thematically analyzed to check for emerging themes. Analyses included within-group consensus or disagreement. Member checking with CPS was used to verify and/or resolve any dissimilar findings.

Karen L Fortuna, Skyla R Marceau, Arya Kadakia, Sarah I Pratt, Joy Varney, Robert Walker, Amanda L Myers, Shavon Thompson, Katina Carter, Kaycie Greene, Willie Pringle

JMIR Form Res 2022;6(2):e29073