Principal Component Analysis in SPSS
Вставка
- Опубліковано 1 жов 2024
- In this video we will discuss about PCA. Additionally we will talk about
1. KMO Test
2. Bartlett's Test of Sphericity
4. Eigen Value Method
3. Varimax Rotation
4. Generate Factor Scores
Link for the dataset:
www.kaggle.com...
When we have dependent variable so Do we have to select dependent variable also for PCA?
And we get factor after this what can we do for the interpretation?
use only independent variables for factor analysis
how to determine sum of squares (eigenvalues) and percentage of error for given factor scores?
spss displays eigen values by default
7:35 Why did you select the absolute value as 0.6?
if the factor loading is lesser than 0.6, we neglect it.
How to make a graphical representation of PCA?
In SPSS it isnt possible, in statcraft you will get it by default. You could try using Powerpoint
Can PCA tells us which original variables to retain for certain statistical analysis?
If the loading is greater than .7 retain it
This channel is awesome.. thanks for the great video..
Thank you for your support, All the best...
Sir I want to make a vulnerability Index. can you guide pls
Hi i am not sure what do you mean by vulnerability index
@@theoutlier7395 brief explanation - safety of beach from croc ATTACK IS DEPEND UPON 5 FACTORS. EACH FACTORS IMPORTANCE AND CONTRIBUTION VARIES. SO GY GIVINg a weightage to each factor I want to create an index score.
How did you make the heat map here?
in PCA you get the descrive statistics option
Hello my friend. I checked and made the Factor Analysis just like you, but within Excel there is alway just one Sheet.
Can you help me so that I can see Heat Map / Eigen Value?
I checked the descriptive statistic option in PCA but could not find it directly
Hi, i have created the factor loading and the other output by running analysis in SPSS. it is not part of the raw data provided
@@theoutlier7395 thank you very much for the clarification
All the best..
Thank you for this. My result is not displaying the KMO and bartlett result. Could there be any reason for this?
if you are using SPSS, pleasse go to analyze menu, dimension reduction, factor, this open up factor analysis dialog box. one you are inside factor analysis dialog box at the right hand side you have descriptive statistics tab. please click on descriptive statistics tab. this will open up a new dialog box . the last option here is KMO and bartketts test of shericity. please make sure you select this click ok. you should get the kmo result
if you are having issues please let me know
i did survey, and had 4 study groups. in that case, is it possible to run PCA on SPSS
Yes you can go ahead with PCA
@@theoutlier7395 Could you help me with running PCA in SPSS? I'm analyzing a dataset with 4 study groups and 400 samples to find where risk factors cluster the most. Your guidance would be valuable!
Sir, can we use this factor as a variable for regression. Also, do we need to consider them as negative values or absolute values?
you can use the factor scores as variables
Also, When interpreting factor scores from factor analysis, it is important to use the scores as they are, including both negative and positive values. These scores indicate the relative positioning of observations along the factor dimensions.
Converting them to absolute values would distort the interpretation and relationships identified by the factor analysis. Negative values are meaningful and represent observations that are below the mean of the factor, while positive values are above the mean.