Your #1 Channel for Scientific Writing and Academic Success! Hi there, my name is Philip and I am the creator behind shribe! master your studies. In 2018, I started a PhD in Information Systems and also a RU-vid channel in German language, on which I shared all my learnings about scientific writing and academic success. The German channel now counts over 250 tutorials and 50.000 subscribers. Fast forward to today, I have finished the PhD and work as a university lecturer in Australia. So I thought the next logical step would be to make the contents of shribe! also available to an English-speaking audience! If you need help with your research papers, methods, or analyses, this channel is for you. Don't hesitate to comment under any video if you have questions. :)
If we are going to analyz major themes of a novel under some theoretical framwork , coding will be necessary ? Or highlight ing and underlining will be enough?
no they are not necessary. You can have a strong thematic analysis with a few main themes. But... the question is not what is necessary, but what comes out of your coding ;-)
thanks this was helpful to me and my homie who were learning more about peer reviewing after watching the Joe Rogan episode with Terrence Howard and Eric Weinstein
The Problem of Induction not only applies to abduction equally, it also applies to knowing about events that happened in the past as well as the present (as oppose to merely applying to making predictions about the future). Additionally, just because your prediction turned out to be correct and is repeatable doesn't mean the conclusions that you have based your prediction on is necessarily True. Induction and abduction is therefore methods of inference that is USEFUL, as opposed to TRUTHFUL.
The Problem of Induction just points to the fact that a conclusion that relies upon assumption can never be logically certain to be true, and the method of inference that is induction (as well as abduction) NECESSARILY relies upon making certain assumptions beyond what is directly observable. Only a priori deduction can arrive at conclusions that are logically demonstrated to be True and this can be done using "Proof By Contradiction".
They can be. Let's say you ask: How do game developers create digital safe spaces for female gamers?, then a handful of themes that describe how these safe spaces are created can be a great answer to the RQ. But themes do not have to be the exact answer to a RQ. They can simply be the result of conducting the method of thematic analysis which is part of a larger study with a broader or multiple RQs. Best of luck!
If you are collecting thousands of videos on TikTok for discourse analysis, for example, or using co-hashtags to "define a community," or even collecting anonymous comments on Reddit, do you need to ask for consent? Are these considered public information? I've seen many articles using anonymous online forums such as Reddit and applying netnography without asking for consent, unless there is an interview involved. Especially when the research explores sensitive topics such as cyberbullying, fake news, and hate speech communities (where the researcher obviously wouldn't be invited). How should we approach this situation?
Great question! If the study is for a greater good and privacy measures are taken such as pseudonymization, the analysis of such data for research purposes can be done ethically without asking for consent first (it would be impossible). It is possible to transparently share what has been done in the study and what data has been used for what. This is to „inform“ without the „consent“ so to speak. It can be done on a public website of a researcher, uni, or project. But most researchers don’t do that. What helps would be to apply for an ethics approval at your university for your specific case. I think labelling a large-scale analysis a netnography is not exactly in line with the original idea. I would label it social media analytics. You can also search for papers on research ethics in netnography and social media analytics to get more ideas about what ethical considerations would be most appropriate for your study. There are papers that discuss both. Best of luck 🤞 Phil
You can also do it step by step. At the open coding stage (first level abstraction) in any qualitative method it doesn’t matter if you do it step by step or all at once. It might be even better because you can make sure that the AI does not skip any transcripts. Pls also delete any names and company information before entering transcripts in ChatGPT. Best of luck 😊👍
Hi! Thank you for the video! Would you recommend it to find out the best practices of how to mitigate price volatility in the supply department? My objective is to recommend those practices to a company. Thank you!!!!
Thank you for your comment. I am not sure if I can answer your question without knowing more about the context, research question, and so on. You can definitely derive practical implications such as recommendations to managers but make sure you also tackle a research problem (i.e. a theoretical problem or important research gap). Best of luck! 🤞
