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. NET Psychology postal course - https://www.examrace.com/CBSE-UGC-NET... NET Psychology MCQs - https://www.doorsteptutor.com/Exams/U... IAS Psychology - https://www.examrace.com/IAS/IAS-Flex... IAS Psychology test series - https://www.doorsteptutor.com/Exams/I... 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