Reflection/Commentary on a Past Article: “A Phenomenological Research Design Illustrated”

Groenewald, Thomas

doi:10.1177/1609406918774662

Cited by 2 publications

(2 citation statements)

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“…In terms of data analysis, 73% of the studies adhered to established descriptive phenomenological approaches by Colaizzi (1978), Giorgi and Giorgi (2003), Moustakas (Moustakas, 1994) or Hycner (Groenewald, 2018; Hycner, 1985). The thematic analysis procedure for general qualitative studies by Braun and Clarke (2006), or more recently for descriptive phenomenological studies, by Sundler et al (2019), was second most popular.…”

Section: Discussionmentioning

confidence: 99%

“…Most studies used a purposive sampling technique which was lauded by descriptive phenomenology researchers as it is crucial to select participants who have had rich experiences related to the phenomenon of interest and have the cognitive capacity and ability to self‐reflect and express oneself adequately either written or verbally (Groenewald, 2018; Kruger & Stones, 1981; Willis et al, 2016).…”

Section: Discussionmentioning

confidence: 99%

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Examining characteristics of descriptive phenomenological nursing studies: A scoping review

Shorey

2022

Journal of Advanced Nursing

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Qualitative research methods have been receiving increasing recognition in healthcare and nursing research, as it seeks to understand a natural phenomenon through the emphasis on the meaning, views and experiences of participants (Al-Busaidi, 2008). As nurse researchers strive to develop knowledge that embraces the ideals of holistic nursing, it is essential for nurse researchers to understand human experiences in health and illness and explore the needs of both nurses, patients and other stakeholders (Wojnar &

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Examining characteristics of descriptive phenomenological nursing studies: A scoping review

Shorey

2022

Journal of Advanced Nursing

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Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (Preprint)

Dobbs,

Boykin,

Ezike

et al. 2023

Preprint

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BACKGROUND On December 20, 2019, the US “Tobacco 21” law raised the minimum legal sales age of tobacco products to 21 years. Initial research suggests that misinformation about Tobacco 21 circulated via news sources on Twitter and that sentiment about the law was associated with particular types of tobacco products and included discussions about other age-related behaviors. However, underlying themes about this sentiment as well as temporal trends leading up to enactment of the law have not been explored. OBJECTIVE This study sought to examine (1) sentiment (pro-, anti-, and neutral policy) about Tobacco 21 on Twitter and (2) volume patterns (number of tweets) of Twitter discussions leading up to the enactment of the federal law. METHODS We collected tweets related to Tobacco 21 posted between September 4, 2019, and December 31, 2019. A 2% subsample of tweets (4628/231,447) was annotated by 2 experienced, trained coders for policy-related information and sentiment. To do this, a codebook was developed using an inductive procedure that outlined the operational definitions and examples for the human coders to annotate sentiment (pro-, anti-, and neutral policy). Following the annotation of the data, the researchers used a thematic analysis to determine emergent themes per sentiment category. The data were then annotated again to capture frequencies of emergent themes. Concurrently, we examined trends in the volume of Tobacco 21–related tweets (weekly rhythms and total number of tweets over the time data were collected) and analyzed the qualitative discussions occurring at those peak times. RESULTS The most prevalent category of tweets related to Tobacco 21 was neutral policy (514/1113, 46.2%), followed by antipolicy (432/1113, 38.8%); 167 of 1113 (15%) were propolicy or supportive of the law. Key themes identified among neutral tweets were news reports and discussion of political figures, parties, or government involvement in general. Most discussions were generated from news sources and surfaced in the final days before enactment. Tweets opposing Tobacco 21 mentioned that the law was unfair to young audiences who were addicted to nicotine and were skeptical of the law’s efficacy and importance. Methods used to evade the law were found to be represented in both neutral and antipolicy tweets. Propolicy tweets focused on the protection of youth and described the law as a sensible regulatory approach rather than a complete ban of all products or flavored products. Four spikes in daily volume were noted, 2 of which corresponded with political speeches and 2 with the preparation and passage of the legislation. CONCLUSIONS Understanding themes of public sentiment—as well as when Twitter activity is most active—will help public health professionals to optimize health promotion activities to increase community readiness and respond to enforcement needs including education for retailers and the general public.

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Reflection/Commentary on a Past Article: “A Phenomenological Research Design Illustrated”

Cited by 2 publications

References 3 publications

Examining characteristics of descriptive phenomenological nursing studies: A scoping review

Examining characteristics of descriptive phenomenological nursing studies: A scoping review

Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (Preprint)

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