Exploratory Factor Analysis (Principal Axis Factoring vs. Principal Components Analysis) in SPSS
HTML-код
- Опубликовано: 15 июл 2024
- This video demonstrates how conduct an exploratory factor analysis (EFA) in SPSS. The Principal Axis Factoring (PAF) method is used and compared to Principal Components Analysis (PCA).
Absolutely brilliant! So informative. You are helping a huge amount of people across the globe by doing these videos.
Dr. Grande!! I watch your true crime RUclips channel. However, you just saved my PhD project with this very clear video. Thank you 🙏🙏
Thanks a lot for uploading this video. This is so much helpful.
Dr. Grande, you have been my main support for learning statistics and using SPSS for my research classes!
Thank you for making all these helpful videos!
Bless your heart and efforts!!~
You're welcome, thanks for watching.
just watching it again.
so helpful for my com exam prep!!
Thanks so much Dr, fantastic work!
Thx for the video, it is really helpful!
Hi Dr. Grande, I am doing maternal mental health assessment using the Global Mental Health Assessment Tool (GMHAT-PC). How do I apply EFA to analyse my data? Your video is very information but I would like to know if the same procedure and coefficient value consideration will be the same as in this video or not. Thank you.
Dr, thank you SO MUCH!!!!!!!
Thank you so much for the video, i have a question about EFA, in the rotated component matrix, what if i have like 3 or 4 variables and they belong to one factor but their loading is fairly low (around 0.6), the other variables all have a loading at above 0.75, most around 0.8 in their factor column. So how do I deal with this factor with lower loadings ???
THANK YOU
Dear Dr. how you deal with cross-loading in your EFA results?
There is one cross-loading in your video, so do you retain or delete that one?
Thanks.......... Carry on
You're welcome!
Dear Dr.Grande, I am currently doing research into wellbeing of a community, where I used 10 items to make up wellbeing, but also did a single item (WBwhole) where I asked respondents to rate their wellbeing as a whole on the same scale. It's been a while since our classes, so I'm confused what test I should use to test the correlation and significance of the 10 items to predict WBwhole, but also on each other? What test do I use to see which items contribute the most to WBwhole? Is this still exploratory fa or would a simple correlation matrix be sufficient? If you could help would be much appreciated, thank you!
hi, Dr. Grande
I hope you can help me because I really need you assistance on how to calculate my data.
So, I'm trying to calculate the significant difference in speaking achievement between the students' who have 3 different levels of speaking anxiety.
Students' speaking achievement would be the dependent variable and the speaking anxiety would be the moderator variable
What should I use in the SPSS statistics to calculate my data?
Thanks!
- Greetings from Indonesia
Please which of the displayed do we include in our project work??
What if determinant is not >.001?
CFA would actually be more appropriate here.