Principal Component Analysis using SPSS

[@dibakarroy226]

Thank you sharing this article in You tube.

[@ayushbahuguna6931]

Very nicely explained but sir what about biplot how can we interpretate it

[@thlaidoctor371]

In video 21:40, how to fix the formula, it’s so unclear can’t see

[@Pretika.1]

Thankyou sir🙏

[@anshulthakur3806]

I think, values in component matrix are loadings. And in next matrix in excel, you have calculated eigen vectors since eigenvector *sqrt(eigenvalue) =loading. Eigen vectors *original data = new data in reduced dimensions

[@Yon-se4ie]

THANK YOU SO MUCH! Kindly help me pls I want identify a major climate-smart agriculture practices used (adopted) by household in the study area. Accordingly I want to group into heterogeneous principal clusters through principal component analysis (PCA). So can you please help me how it is work? How Binary/dummy option is used in PCA? For example: lets the following are e.g. of climate smart agriculture used in the study area, but not equally adopted by HH. 1. Conservation Agriculture (Reduced tillage, Crop residue management-mulching, Crop-rotation/intercropping with cereals and legumes) 2. Agroforestry (Tree-based conservation agriculture, Practiced both traditionally and as improved practice Farmer-managed natural regeneration) 3. Improved livestock feed and feeding practices (Reduced open grazing/zero grazing, Forage development and rangeland management )

[@Friend_forever_Pure]

there is problem showing in mmult formula. how we can fix it. it just depicted #values only.

[@namratagautam6986]

where i can find this data ?

[@sri_bhagavadgita_madhava]

Sir make a video on path diagram & systems of mating

[@s.bouyache4722]

please post your xlxs file data so that we can replicate the calculations

[@akill_er]

When i try to calculate p1 p2 p3 p4 there arise value error though my formula is correct

[@artint25]

hi, useful video,I am getting chi square value 1.00E4 ,in KMO and Bartlett test table can someone help me to figure out the error/problem