Interview Analysis - Science topic

I'm conducting a thematic analysis for my interview methodology (part of my thesis). The interview focuses on validating the metrics used to compare web application security testing tools, which I've identified from my literature review. I'm currently confused about codes and themes. I'm finding it confusing. As I mentioned, I've conducted a literature review and identified 37 metrics. Should I take those 37 metrics as codes, or is there something else I should use as a code? If there's something else, could you provide one or two examples? Please help me. If my 37 metrics are codes then I'm thinking of using 4 themes:

Commonly Used Metrics Additional Metrics Metrics that are Considered Unimportant Evolving Landscape of Web Application Security

Can someone please clarify this?

I am in the process of finalizing my individual grant proposal.

I really need your recommendation and your suggestions.

I have a question regarding my research, which will include interviews with experts and scientists. To ensure methodological reliability, I need at least two intercoders to participate in data analysis.

Could you advise how I can include these people in the project as intercoders?

Could these be the scientists who signed the LoI to collaborate on the project?

What is the correct way to describe this thing?

I will be grateful to you for any recommendations and advice.

Best regards,

Sabina

Dear colleagues,

My name is Sabina Augunas, and I hold a Ph.D. in Pharmaceutical Sciences. Currently, I am a fellowship at TIB -Leibniz Information Centre for Science and Technology and University Library, and I am preparing a grant proposal to participate in a competition for an individual postdoctoral grant. My research topic revolves around examining researchers' perspectives on predatory conferences.

Within this study, I plan to employ mixed methods, including conducting interviews with respondents. In the "Researchers in Germany and abroad with whom you have agreed to cooperate on this project" section of the grant proposal, I am seeking researchers who have experience with mixed methods and conducting research in the field of social sciences. If you possess such expertise, I would greatly appreciate your support and collaboration with this project, as it would significantly enhance my chances of obtaining the individual grant.

Scientific conferences have been an integral tool for scientific communication and knowledge dissemination among researchers for decades. In the modern world, where research evaluation, audit culture, and internationalization of science have become key factors, attending conferences and presentations has become a necessary component for achieving scientific goals in all areas of science. However, despite many scholars exploring available resources, there has been insufficient attention to predatory conferences. There is a lack of knowledge not only about the motivations of researchers to attend such conferences but also about the criteria that define a conference as predatory, as well as about the quantity of such conferences. Of particular concern is the statement that the number of predatory conferences may exceed an acceptable norm. If true, targeted efforts are needed to fill this gap.

The project aims to address the following research questions: What motivates participation in predatory conferences, and what are the long-term consequences for researchers? It is important to distinguish between legitimate and predatory conferences. To achieve these goals, qualitative and quantitative analytical tools will be utilized, including the Delphi method. Expert groups will be formed, taking into account scientific discipline, gender, career stages, and geographical regions, in order to broaden the scope of research. The study will involve comparing predatory and legitimate academic conferences, considering criteria such as peer-review processes, speaker quality, funding sources, publication opportunities, and reputation. The motivation and reasons for researchers participating in predatory conferences, as well as the role of organizers in this process, will be examined. Strategies and ethical principles will be developed during the research to assist researchers in avoiding predatory conferences and safeguarding their scientific interests. The impact of predatory conferences on the academic community, factors contributing to their proliferation, and ethical considerations will also be assessed. Ultimately, the project will enhance understanding of the differences between predatory and legitimate conferences, draw attention to the risks, and help researchers make informed decisions when choosing conferences and managing their careers.

Best regards,

Dr. Sabina Augunas

I will conduct stimulated recall interviews with graduate students after eye-tracking. The interviews will be prompted by each participant’s eye-gaze replay in Tobii Studio. The data I will collect from these interviews, can I analyze them using thematic analysis?

I am writing a qualitative research paper on EFL graduate students' academic writing challenges in a university in Turkey where English is the medium of instruction. The research instrument is a semi-structured interview, and thematic analysis (TA) will be implemented. Based on what should I choose the sample size? What is the best/ideal sample size to reach the principle of saturation?

For my Master thesis, I am going to conduct a number of interviews with experts to assess my proposed tool. I have set up a decision support tool based on the literature and want to verify it for completeness, determine possible interrelationships between factors and ask a number of ranking questions.

My research is qualitative in nature, and the idea was to set up a semi-structured interview. A combination of open questions with a number of closed questions.

Which analysis technique can I best use for this? Is there a certain technique or coding scheme best suited to verify a tool?

Thank you!

Tim

Hello All,

I am interested in consulting with someone about qualitative analysis for interviews. If you are available or know someone who may be, please let me know. I would be happy to pay for the consultation/consider including as an author on the research paper.

Thanks for your time.

I'd like to learn more about interesting environmental management and citizen science/stewardship studies that combine both quantitative and qualitative methods.

A researcher is investigating students' writing mistakes from teachers' perspectives. Of course, the researcher is going to conduct an exam for students. However, would you recommend an open-ended questionnaire or a semi-structured interview for teachers?

In regards to findings for qualitative research, can the themes emerging be different than what's written in litertature review. They may have been covered by some studies but that is not mentioned in the literature review but can I reference those studies in findings despite them not being in lit review? or would that be inappropriate?

We are working on a qualitative project that uses telephonic interviews. Most of the interviews have been transcribed so we want to start the coding process. We cannot afford Atlas.ti or NVivo, but many open source software programs either do not cater to multiple collaborators or are limiting. For example, we found Taguette really easy to use however it does not support nested/hierarchical coding or the visually pleasing multiple coloured highlighting.

Could you tell us about any other open source softwares that would overcome the above-mentioned shortcomings? We're open to using Google Docs and Sheets, however, to be honest we are still figuring out how to go about it without causing issues in the later stages.

Note: We're really new to qualitative data analysis

The data coding process using NVIVO 12 software is relatively straightforward, but I'm having difficulty using the hierarchy charts to visualize the information in terms of demographics (e.g., age, gender, etc.). Does anyone have any tips?

Hi everyone,

I am a MSc student and currently in the early process of starting my dissertation proposal.

The study aims to evaluate risk and protective factors which influences the onset of body image dissatisfaction. This will be based on patient experience by obtaining data through an in-depth, open-question survey which will be completed online (this is due to being an distance-learning course, therefore semi-structured or in-person interviews are not possible).

Is it still possible to carry out IPA using an online survey, or is it mostly limited to in-person interviews? The survey will enable participants to write extensive accounts using open-ended questions, however will this still not provide appropriate data?

I welcome any advice, thoughts, feedback.

Thanks.

I am doing a research on defining the link between sense of belonging and use of urban space. I have designed a set of interview questions based on my literature review, other case studies, etc.

How to be sure that the designed interview questions are complete and appropriate enough to serve the purpose of the research question and will provide me with the data I may need ?

I had a questionnaire with 18 close-ended items about factors of students' failure in English courses.

At the end of the questionnaire I asked respondents an open-ended question:

Why did you fail English in the previous semester(s)?

I made it optional and only 27 out of 56 responded to this question.

Was it correct?

Regards!

I would like to outsource the transcription of interviews (around 20-30h of audio recording/IDI). Do you have any experience with Polish companies in that field? Can you recommend any?

I would be really grateful :)

I am conducting a multiperspective interviews on cultural competence in healthcare institutions (management level). Some interviews are individual, but in some institutions, they expressed the wish to conduct the joint interviews (e.g. medical director, nursing director, HR director)- which I could not decline. Is it aceptable to analyze all the data jointly (treating each respondent as a single unit)? Any references or suggestions? I want to add that I am investigating their views, beleifs and attitudes towards the topic, and I was careful that all of them had a chance to express them. Thank you kindly.

Interested in peoples opinions of preparing for a job interview:

From an interviewee point of view, what do you prepare and how do you prepare?

From an interviewer point of view, what do you expect of the candidates your are interviewing, in general?

Any experiences with MECANALYST?

We are going to analyze 150 interviews and plan to create Hierarchical Value Maps.

Thank you

I would like to know if it is okay to use the responses of one interview for more than one research article? From what I understand, it is okay to use different sections of an interview for different research as long as the same questions are not used in both of the papers? Is it correct? Or would one be able to use the same questions as well or questions as well as answers should only be used once?

I have 38 semi-structured interviews and this will be my first time using a software program to conduct my coding. Usually I use a whiteboard and post-its but with the richness of these data, it is getting unwieldy. I would like a more efficient way to visualize things across participants. Thanks!

I find it time consuming to do transcriptions on my oral history interviews. Is there a software that will expedite the process.

Hi All

I seem to be stuck at present. I am at the point where I have ben asked to show how I am going to analyse my data, and CDA seems to fit to an extent, but I am also assuming it can be used as the main stance and structure of my thesis.

I am quite interested in using CDA in my project which is based on how people who  live in areas of disadvantage view themselves and the world around them (their identity). I am aiming to use small group interviews and individual interviews.

I am a little confused in regards to CDA - It states it has to be a multidisciplinary approach. Am I barking up the completely wring tree to think I could use texts etc that form the part of my literature review to note the views of institutions with regards to identity of these groups and also analyse my own field work with regards to the way the people themselves view their own identities? 

If someone could help I would be grateful!

Jess 

I am working on drivers for participating wildlife harvest/trade related qualitative data from a survey and have many open-ended questions. Any suggestion would be of great help.

Thank you,

I am using mix method research approach for my study. My study is explanatory sequential, using positivism for quantitative data collection. But I am abit confused about what epistemological stuns should I used to collect interview data. Whether it should be phenomenology or social constructionism?  

When we conduct interviews, we look to gain enough data that can offer a reliable picture of the issue being examined.  Depending on the field, interview numbers in a study can be very small (I have even heard of a published study with only 1 interview), to >20.

I am trying to choose a method to analysis semi-structured interviews within midwifery, where I really need to understand the individual experience deeply and perhaps identify themes. Both these methods seem potentially appropriate. Any thoughts regarding the methods and the required sample sizes would be helpful.

thanks

Jenny

we have been using a sequential explanatory mixed method research where the  findings from the quantitative study are reassessed with qualitative approach such as through interview. The selection of participants is based on purposive sampling but the appropriate number will be guided by data saturation. so when shall we say that there is data saturation? what's the minimum number of interview needed to be conducted?

I am using group interviewing technique for a research study. I conducted a pilot study on few respondents. Can I use the results of the pilot study also to write my findings and conclusion? So if I interviewed 10 respondents in the pilot study and 30 later, can I say that my sample size is 40? Thanks. 

In mixed method studies where a questionnaire is the main instrument while semi-structured interview is used partially. What are the best method which can be followed to analyze the open-ended questions.  

Atkinson (2002) suggests a three steps process of life story interviewing viz., planning for interview (1), process of doing interview (2) and transcribing along with interpreting interview (3).

By following all these steps, I have converted the interview into a story, removed interviewer's comments and remarks, as guided by Atkinson 2002. My goal behind conducting this interview is to understand the cultural construction of an issue, a truth. To achieve this goal I want to apply the reading method of deconstruction on the target narrative.. 

Can anyone give me surety for my plan... how far am I correct? 

I designed a face-to-face interview protocol in English to collect data from Irish physicians. I am planning to replicate the study in the Lebanese context using the same protocol and was asked to check the protocol for cultural relevance and sensitivity prior to collecting data from Lebanon. 

Does anybody know how to assess the interview protocol for cultural relevance? are there tools to do so?

Thank you

Mohamad

I am going to conduct a series of semi-structured interviews (on conferences & poster presentation) with RG members via Skype. The interviews will be conducted in English, and the interviewees come from a variety of backgrounds.

I have the usual demographic questions, some questions that ask the 'importance' of things (which I will rank/scale during analysis), and open questions that ask their views on issues.

I think that if potential interviewees have my questions in advance, they can see clearly what the interview is about, think about their willingness to participate, and also be better prepared to answer the questions. Especially, if English is not their main language, knowing what will be asked may help them express their answers more effectively, which is good for them & me :-)

I don't think this advanced knowledge will negatively influence/bias the answers they give, but is there any particular reason this should not be done?

Is it necessary to transcribe recorded interviews in times where audio files can be easily annotated, bookmarked, archived and even implemented in written text? Looking forward to hearing your opinion on that issue. Thanks

 I know that in quantitative content analysis we may use specific coefficients or ratios for example to measure the degree of agreement between coders (krippendorff 's alpha, kappa coefficient,..). I am interesting in using criteria no associated with coefficients in qualitative content analysis.

Thanks in advance for your support.

Jairo Raúl Chacón

Having difficulty knowing many numbers of participant to use for pilot study and if there's need for any because I'm interviewing people living with diabetes. Working towards 40 participants in the main study( semi-structured interview)

example: A is my informant for pilot test.

Could I add A with B, C, D, E (my real informants) and claim that I have 5 informants including A? 

qualitative reserachers

I have to analyse and interpret my transcript data which I have obtained from semi structure interview. Do you have any idea how I can formulate best a framework to do this.

I am beginning a qualitative research project and unfortunately I will not be able to conduct face-to-face interviews with all the participants so will need to do some by phone. Any advice from others who have done this would be very much appreciated.

Thanks a lot.

I am going to be analysing up to 100 interviews, coding for different affects/emotions in the text.  I need to find a good, simple, reliable programme.  I will have to learn it myself, and then teach non-academics how to use it.

Thanks!  

We interviewed couples and I would like to determine "how much" they agree or disagree on the themes that emerged from the data. Anyone has an idea how this can be done?

I'm using NVivo for this.

I have a few questions and would like to read the opinions of people that are more experienced than me:

- Do you code everything, or skip coding information that is not so relevant?

- I think the wisest would be to code interview by interview instead of ttheme by theme (the interview is semi-structured which means that each topic is sometimes spread out throughout the whole interview). Am I wrong?

- I think I'll have codes that fit several themes (or maybe they'll just be slightly different...). Should I repeat them under each theme?

- I have read through all the interviews carefully and I attempted to "build" a node tree in NVivo to be aware beforehand of the themes emerging from the interviews and the problems (like too much overlapping etc). Was this a good strategy?

Thank you very very much.

Dear Colleagues, I am currently coding my first interviews for my PhD and was wondering if it is the best idea to do it alone in order to reach high reliability and objectivity. On the other hand, I consider the PhD as an own work, and with this prerequisite given I have to do it on my own. So I would like to ask you: Is the a convention or best practice among researchers how to ensure high quality of coded data (except for those written in books like Mayring or Glaser/Strauss)? Thanks a lot. Anja