Excellent job Prof. Cook. I mostly use R and Statnet for SNA, but from time to time, I like using UCINET when I start a new project. Good Tutorial. Extremely clear.
Thank you Dr. Cook! This video is super helpful and clear. I have a question regarding one step in your video. When all the data were ready and you started to choose dependent variable and independent variables, I noticed that you chose flvote-RowAff #h (ending with #h) as the dependent variable; you chose flparty-sameParty #h (ending with #h) as one independent variable; for the rest of independent variables, you chose them ending with #d: flsex-sameSex #d, flseat-absdiffSeat #d, flbirthyear_absdiffBirthYear#d, flcom-RowAff #d. Why did you choose endings of variables in this way? some ending with #d while others ending with #h? Thank you!
Hello and thank you for sharing this question. The answer is that the #h and #d files are paired and connected; together they represent one matrix in UCINET. You can click on either one to open up the relevant matrix.
Hi Renske. The good news is that you can run a MRQAP analysis using UCINET just like this using one-mode data, be it directed or undirected. The principles are the same.
Hello James, Your online class helped me a lot with how to perform MRQAP analysis. Have you also recorded a video for one-mode undirected, asymmetrical data? Thanks in advance from the Netherlands
Thankkkkkkkkkkkkkkkkkkkkkkkkkkkkkkks 👌👌
Excellent job Prof. Cook. I mostly use R and Statnet for SNA, but from time to time, I like using UCINET when I start a new project. Good Tutorial. Extremely clear.
Thank you Dr. Cook! This video is super helpful and clear. I have a question regarding one step in your video. When all the data were ready and you started to choose dependent variable and independent variables, I noticed that you chose flvote-RowAff #h (ending with #h) as the dependent variable; you chose flparty-sameParty #h (ending with #h) as one independent variable; for the rest of independent variables, you chose them ending with #d: flsex-sameSex #d, flseat-absdiffSeat #d, flbirthyear_absdiffBirthYear#d, flcom-RowAff #d. Why did you choose endings of variables in this way? some ending with #d while others ending with #h? Thank you!
Hello and thank you for sharing this question. The answer is that the #h and #d files are paired and connected; together they represent one matrix in UCINET. You can click on either one to open up the relevant matrix.
@@JamesCookUMA Thank you! Really helpful since I am watching this video and running my own data at the same time!
Hi Renske. The good news is that you can run a MRQAP analysis using UCINET just like this using one-mode data, be it directed or undirected. The principles are the same.
Thanks, James. I found the video very helpful for understanding the practical aspects of preparing data for an MRQAP analysis.
Thanks James. Excellent job, really helpful. Have you also recorded something about Principal factor analysis (2-mode data). Please let know. Josef
Unfortunately not. That could be you!
Hey guys is there a tutorial on how to create interaction variables for QAP analysis? also how we analyze multinomial outcomes?
Hey! Did you ever find a good resource for figuring out how to create interaction terms for QAP Regression?
Hello James,
Your online class helped me a lot with how to perform MRQAP analysis. Have you also recorded a video for one-mode undirected, asymmetrical data?
Thanks in advance from the Netherlands