NVivo 11 Pro (QSR International) will be used to perform qualitative analyses. Thematic analysis will be conducted to analyze the focus groups [77 (link)]. Codes will be developed prior to the focus groups. Additional coding will be processed while the focus groups are conducted, adding codes based on new data. After including all study participants, the completed code list will be used to code transcripts of all groups. The PRECIS tool will also be used to estimate the intervention’s potential success in real clinical app [78 (link)].
Nvivo 11 pro
Manufactured by Lumivero
Sourced in Australia, United States
NVivo 11 Pro is a qualitative data analysis software tool. It allows users to organize and analyze unstructured data, such as interviews, focus groups, and documents. The software provides features for coding, querying, and visualizing data to support research and analysis.
Automatically generated - may contain errors
Lab products found in correlation
22 protocols using nvivo 11 pro
1
Qualitative Analysis of Focus Groups Using NVivo
2
Qualitative Analysis of Research Interviews
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
To analyze these qualitative data, the methodological framework proposed by Braun and Clarke (2006) [32 (link)], which consists in carrying out a thematic analysis, will be applied. The recordings of the speeches will be transcribed verbatim, following the exact course of the interview, and mentioning all the elements of communication, including the non-verbal cues, in order to fully understand the interactions (laughs, hesitations, attitudes). Then, the verbatims will be analyzed using NVivo 11 pro software (QSR International, Burlington, MA, USA). Coding and thematic analysis will be carried out by the researchers who carried out the interviews. The report of the qualitative analysis will follow the COREQ (COnsolidated criteria for REporting Qualitative research), guidelines recommended by the EQUATOR network (Enhancing the QUAlity and Transparency Of health Research) for reporting qualitative research. The results will then be discussed under the lens of the theoretical frameworks mobilized within the various disciplines making up the research team. The results will also be compared with the literature.
At the end of the analysis, two or three individual non-directive interviews with study participants will be conducted to present the emerging concepts and discuss their coherence in order to corroborate the results obtained.
At the end of the analysis, two or three individual non-directive interviews with study participants will be conducted to present the emerging concepts and discuss their coherence in order to corroborate the results obtained.
3
Qualitative Analysis of Student Interviews
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
We audio-recorded and transcribed student interviews in Express Scribe and coded them in NVivo11Pro (NVivo qualitative data analysis Software; QSR International Pty Ltd. Version 11, 2017). We took notes during interviews and used them to determine initial coding nodes. We created a codebook to document accurate or positive responses to student interview questions. We performed two coding cycles to increase reliability (Saldana, 2009) . We created frequency tables based on positive/accurate responses to compare frequencies between groups, as in Morgan (1993) . We compared frequencies between control and treatment groups, between grades, and between preeducation and posteducation scores in upper-and lower-scoring groupings. We also compared upper-and lower-scoring student responses.
4
Qualitative Analysis of Diabetes Self-Management
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The transcripts were imported into NVivo 11 Pro (QSR International, MA, USA, 2018) [21 ] and thematically analyzed [22 (link),23 ]. The qualitative analysis of the semi-structured interviews was carried out using the chronic care model as a theoretical framework, and a methodological approach was carried out using a self-management framework proposed by Brewer-Lowry [24 (link)]. This approach allowed for a rich in depth understanding through a holistic framework and, therefore, was most suited to answer the research question in this study [25 ].
The research team addressed issues of rigor and trustworthiness based on a quality framework outlined by Meyrick [26 (link)]. Our research team was composed of three academic experts in diabetes and one local practice diabetes expert. The main researcher carried out the individual interviews but all other researchers and the local diabetes expert checked and discussed the collected data. The transcripts had all identifying information removed so that we were able to maintain confidentiality and anonymity during analysis.
The research team addressed issues of rigor and trustworthiness based on a quality framework outlined by Meyrick [26 (link)]. Our research team was composed of three academic experts in diabetes and one local practice diabetes expert. The main researcher carried out the individual interviews but all other researchers and the local diabetes expert checked and discussed the collected data. The transcripts had all identifying information removed so that we were able to maintain confidentiality and anonymity during analysis.
5
Qualitative Exploration of Hemodialysis Experiences
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
All patients were interviewed face‐to‐face in the haemodialyses unit, which lasted 30–45 min. The interview was conducted by M. H., a researcher who systematically studied the relevant theories of qualitative research and repeatedly practiced and confirmed that she has mastered the skills of a qualitative interviews. Interviews followed a semistructured format that was developed based on research objectives, previous research and clinical observations (Supporting Information: Table 1 ). Before using the interview topic guide, we selected 2–4 people undergoing haemodialyses for preinterview, and further modified and deleted the interview topic guide according to the effect of the preinterview to determine the final version of the interview topic guide. All interviews were recorded digitally, anonymously and verbatim by professionals. Read transcripts while listening to audio files to ensure accuracy. The verified transcript is returned to the patient for examination to ensure accuracy. All audio files and scripts were imported into NVivo 11 (QSR International NVivo 11 Pro). Demographic and clinical data were extracted from medical records.
6
Thematic Analysis of Athlete Interviews
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
The questionnaire results were collated and interview data were analysed thematically, with NVivo 11 Pro (QSR International Pty Ltd., Doncaster, Australia) used to code the interview data. Using an inductive approach, meaningful units of text were attributed to themes and subsequently coded to nodes. 15 This process was repeated multiple times and the nodes evolved to ensure the questionnaire results were accurately reflected. The nodes were subsequently grouped into lower and higher order themes (Table 1). Finally, athletes were sent the transcribed versions of their interviews and the coded themes. Any comments raised were then considered in the construction of the final thematic analysis.
7
Qualitative Analysis of Organ Donation Tweets
8
Qualitative Analysis of App Usage Patterns
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
To identify the natural patterns of app use, inductive analysis was employed utilizing NVivo 11 Pro software (QSR International, Melbourne, Australia) to organize and identify core themes and subthemes in accordance with Braun and Clarke’s 6 phases of thematic analysis [27 (link)]. This consisted of several stages including familiarization, transcription, generating initial codes, searching for themes, reviewing themes, and then defining and deciding on meaningful themes.
An iterative approach was adopted with the initial coding performed by a general practice registrar following the completion of the first set of 5 interviews. Subsequent interviews were then conducted incrementally with data analysis occurring simultaneously, and new codes were added from the dataset to NVivo Pro 11. SF and JG reviewed the transcripts and codes during this process until consensus was reached by all members of the research team in regards to the final themes. Data saturation was achieved (and data collection ceased) when no new themes emerged, which was determined by the point in analysis where no new codes were able to be created in NVivo 11 Pro that provided additional value to the identified themes [28 (link),29 ].
An iterative approach was adopted with the initial coding performed by a general practice registrar following the completion of the first set of 5 interviews. Subsequent interviews were then conducted incrementally with data analysis occurring simultaneously, and new codes were added from the dataset to NVivo Pro 11. SF and JG reviewed the transcripts and codes during this process until consensus was reached by all members of the research team in regards to the final themes. Data saturation was achieved (and data collection ceased) when no new themes emerged, which was determined by the point in analysis where no new codes were able to be created in NVivo 11 Pro that provided additional value to the identified themes [28 (link),29 ].
9
Analyzing Access to Healthcare During Lockdowns
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
We used thematic analysis and a mixture of deductive and inductive coding to analyse the 38 interview transcripts and open-ended survey questions. The coding of the transcripts was managed using NVivo 11 Pro (QSR International). We applied Levesque’s framework of access to healthcare24 (link) as an initial coding frame. This framework describes the intersection of patients’ abilities, and demand for services, with supply features of health services (all of which may be disrupted by lockdowns and pandemics). From this initial analysis, we developed more nuanced themes25 (link) around what could enable or hinder access to healthcare. Themes from interviews were checked against the analysis of open-ended questions to confirm the completeness of the analysis. Quotes are inserted verbatim, with identifiers including age range, gender and whether from survey (S) or interview (I).
10
Analyzing Pharmacy Users' Willingness to Pay
Check if the same lab product or an alternative is used in the 5 most similar protocols
+ Expand
Data from the interviews were analysed through inductive coding and thematically analysed using the QSR International NVivo 11 Pro software for Windows (version 11).12 One third of transcriptions and codes were validated by a co-author (SH) to ensure accuracy. Codes were discussed, consensus reached, and a semantic thematic analysis was carried out.
Pharmacy user demographic data were descriptively analysed. A paired samples t-test was carried out to ascertain if willingness to pay ex-ante and ex-post yielded statistically different results, to investigate whether pharmacy users' willingness to pay was impacted by the health outcomes they obtained after utilising unfunded pharmacy services.
Pharmacy user demographic data were descriptively analysed. A paired samples t-test was carried out to ascertain if willingness to pay ex-ante and ex-post yielded statistically different results, to investigate whether pharmacy users' willingness to pay was impacted by the health outcomes they obtained after utilising unfunded pharmacy services.
About PubCompare
Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.
We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.
However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.
Ready to get started?
Sign up for free.
Registration takes 20 seconds.
Available from any computer
No download required
Revolutionizing how scientists
search and build protocols!