Factor Analysis - Factor Loading, Factor Scoring & Factor Rotation (Research & Statistics)

Dr. Manishika Jain in this lecture explains factor analysis. Introduction to Factor Analysis: Factor Loading, Factor Scoring & Factor Rotation.

Steps in Research Proposal @0:24
Research Topic @0:43
Review of Literature @0:56
Rationale and Need for the Study @1:18
Definition of Terms @1:24
Assumptions @3:03
Method, Sample and Tools @4:06
Probability Sampling @4:23
Non - Probability Sampling @4:34
Significance of Study @5:13
Technique for Data Analysis @5:18
Bibliography @5:42
Budget @6:28
Chapterisation @6:39
#Expenditure #Tabulate #Significance #Assumption #Literature #Rationale #Constitutive #Phenomena #Elucidate #Literature #Manishika #Examrace

Factor Analysis and PCA

Reduce large number of variables into fewer number of factors
Co-variation is due to latent variable that exert casual influence on observed variables
Communalities – each variable’s variance that can be explained by factors
Types of Factoring
• PCA – maximum variance for 1st factor; removes that and uses maximum for 2nd factor and so on…
• Common Factor Analysis – Same as factor analysis (only common variance – used in CFA)
• Image Factoring – correlation matrix; uses OLS regression matrix
• Maximum Likelihood Method – on correlation matrix
• Alpha Factoring
• Weight Square

Estimate communalities - each variable’s variance that can be explained by factor.
See factors are retained
Factor rotation - Procedure in which the eigenvectors (factors) are rotated in an attempt to achieve simple structure.
Factor loading - Relation of each variable to the underlying factor. Output of a simple factor analysis looking at indicators of wealth, with just six variables and two resulting factors
6 variables: Income, education, occupation, house value, public parks and crimes
2 factors: individual socioeconomic status and neighborhood socioeconomic status
Factor Score – if value of variables are given then factor values can be predicted
Interpretation #examrace #upsc #ugcnet

[nidaali]

You are an amazing teacher who explains the topic from head to toe while maintaining the precision in mind. 👌👏👏❤️ Thanks a ton

[infinite_]

so high paced yet so clear and well-explained!

[IqraSageer]

Ma'am i need your help. Items of factor 2 are loading in factor 4 and items of factor 4 are loading in factor 2. I am running EFA on a scale. It has 5 subscale. How to fix this issue ?

[alfredv]

Finally explanation in English, thank you so much.

[gutafekadu]

I really benefited from your presentation and waiting for additional presentations on factor analysis.
Stay blessed!

[alinababar]

I wish I could give it thousand likes. It has helped me alot. Thanks a Bundle. Keep up your work

[sefkana]

Thanks so much. Im working on my thesis and had no clue about this topic, since i havent learned about it in class. Now the research papers finally make sense

[rebeccawashere]

Thank you for explaining this concept. I found the content helpful, but some of the graphics to be slightly distracting. Otherwise, great job!

[mominaasif]

Amazing presentation and explanation 👍

[irfanshaikh-ubks]

Dear Manishika,


First of all i like to thank you for explanation about factor Analysis, but


Request you to make a video on Practical example of factor analysis or any video (data )


that will be more effective as compared to theory


Thanks & Regards,
Irfan.Mohd

[letmereadastory]

Such clarity mam. Although I wanted to know if this much depth is required from Point of view of Ugc net also?

[praveendas]

thanks mam wonderful class, very much helpful for researches like us

[sumitsangwan]

Thank you Madam, I am getting only one factor after rotation so how can I interpret that or can I use fixed number of components instead of based on eigenvalue, if yes what are the conditions of using it.

[jacobchesang]

Thanks a lot for this information its very articulate

[jamalnuman]

but the very begining, how the set of factors are selected from the variables? i don't understand the logic.

[chevasflorian]

Thanks for not speaking so fast. I am not a native English speaker. So, I usually try to watch videos in which the speaker can explain clearly and slowly. Thanks a lot and cheers from Peru!

[kimanijosephwainaina]

very clear clarification and explanation

[freddynavarro]

How can we do the nomenclature of factors on the Exploratory Factor Analysis?

[RohitYadav-qhme]

can we take satisfaction as a factor in factor analysis? im trying to find out the factors which satisfy customer in buying a product...

[arichandranr]

2:33 which one is latent variable? can you clarify?