@@jeff7276 thank you so much for watching this video. If you need any help just put comments.

@@bangkimbiswas8598 Thank you very much, the other line of research is the labeling of the ODK database on Stata.

@@jeff7276 i don't use ODK. But i can try for you. Please write in details.

Thank you so much. If you need any help related to analysis, just knock me.

Thank you for your comment. Please share your email ID.

@@PujaSarker-m2e thank you apu. You will get it soon.

Thank you so much for your comments. I will try to make the text of my videos clearer next time. Keep in touch.

thank you!

Sure, I will do this. Thank you for your comments.

Thank you so much. Please keep in touch for up coming videos.

Thank you so much!

Thank you so much for watching!

Thanks for your question! Here are a few tips to fix the co-occurrence issue in VOSviewer: Check Data: Make sure your data includes keywords or terms for co-occurrence analysis. Settings: Ensure you've selected the right analysis type in VOSviewer. Update: Use the latest version of VOSviewer for the best results. Support: Refer to the VOSviewer guide or their support for more help. Hope this helps!

Sure! I will try to do this!

Thank you so much!

It is not possible. Please recheck this

Capitalizing the initials of words in maps generated by VOSviewer involves adjusting the settings or manipulating the input data before visualization. Typically, this could mean editing the labels in your dataset to ensure each word starts with a capital letter or using a feature within the software that automatically formats text according to your preferences. For specific instructions, refer to the VOSviewer manual or support resources for tips on text formatting and visualization customization.

I'm glad to hear the video was helpful for you! If you have any more questions or need further clarification on any points, feel free to ask. Thanks for watching and for your feedback!

I will make a video on that!

Could you give me some pointers on how to improve? I'll go over it and give it another shot. Thanks for your feedback.

Thank you for your suggestion! Creating a tutorial on setting up separate admin and user passwords, with user setup through their phone number, URL, username, and password, sounds like a valuable resource. I'll take this into consideration for future content. Stay tuned for updates, and thanks again for your feedback!

Please visit the following link www.sciencedirect.com/science/article/abs/pii/S0197397521000254

The Kaiser-Meyer-Olkin (KMO) measure is used to assess the suitability of data for factor analysis. It evaluates the adequacy of sampling by comparing the magnitude of observed correlation coefficients to the magnitude of partial correlation coefficients. The KMO value itself ranges from 0 to 1, where values closer to 1 suggest that factor analysis is appropriate. While the KMO test relies on correlation matrices, it doesn't directly calculate with negative values of correlations but rather assesses the overall pattern and strength of correlations. Negative correlations can still be part of the analysis, but the KMO value reflects the suitability of all correlations (both positive and negative) for factor analysis, not the presence of negative values per se. I'll take this into consideration for future content. Thanks!!

Thanks a lot! I'm glad you found the information useful. If you have any more questions or need further assistance, feel free to ask.

I am happy with your comment! Glad to know you learned a lot from here. If you want to know more or have any questions, please let me know.

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