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Mar
9
awarded  Necromancer
Mar
8
awarded  Notable Question
Mar
5
accepted How to create a PCA-based index from two variables when their directions are opposite?
Mar
5
comment How to create a PCA-based index from two variables when their directions are opposite?
Thank you for this helpful answer. It was very informative. In fact I expressed the problem in a rather simple form, actually I have more than two variables.
Mar
1
revised How to create a PCA-based index from two variables when their directions are opposite?
edited title
Feb
29
comment How to create a PCA-based index from two variables when their directions are opposite?
Yes, basically I'll analyze the correlation matrix, not the covariance matrix. Thanks for your comment @amoeba.
Feb
29
comment How to create a PCA-based index from two variables when their directions are opposite?
Thank you @NickCox. If I create an index from these variables (i.e. if they are correlated) and I want to use that index as a measure of overall condition, then how do I know if bigger values of the index indicate better condition or smaller values or the index indicate better condition? Since the two variables are going in opposite directions, I am a little confused. I was thinking if it'd be wise to multiply any of them by minus sign (I am not sure if that is at all necessary or would be a rather horrible idea).
Feb
29
asked How to create a PCA-based index from two variables when their directions are opposite?
Feb
7
accepted How to find 5-year survival probability of newborns from a life table?
Feb
6
revised SEM with categorical complex survey data adjusting for cluster effect
added 825 characters in body; edited title
Feb
6
comment SEM with categorical complex survey data adjusting for cluster effect
My data comes from a two stage stratified cluster sample. There are some categorical (ordinal) manifest (dependent/endogenous) variables. I believe these variables can be divided into three major groups and are manifested by three factors, such as 'economic independence', 'self-esteem' etc. which can also be related to each other. Some covariates and independent factors are also there which are supposed to be associated with these latent variables and manifest variables. I want to adjust for clustering and draw some statistical causal relation among the latent factors and variables.
Feb
6
comment SEM with categorical complex survey data adjusting for cluster effect
There are two latent factors like self-esteem and economic independence. Should we treat these as categorical? I think every categorical latent factor has some underlying continuous process. The manifest variables are all categorical (ordinal to be exact).
Feb
6
comment SEM with categorical complex survey data adjusting for cluster effect
My data contains several categorical variables and I have assumption that these variables are manifested by some latent factors. I also have some covariates. The data comes from a two stage stratified cluster survey. I have an assumption that there might be cluster level homogeneity and I want to adjust for that. It seems like Stata takes too long and I don't know about any other software that deals with both categorical and survey data. Since people who knows SEM are likely to answer and I found a tag called software recommendation, so I posted it. Should I take my question to that site?
Feb
5
asked SEM with categorical complex survey data adjusting for cluster effect
Jan
20
asked How to find 5-year survival probability of newborns from a life table?
Jan
14
comment Distribution of continuous uniform RV with upper limit being another continuous uniform RV
Thank you @Cliff AB
Jan
14
comment Distribution of continuous uniform RV with upper limit being another continuous uniform RV
Thank you @JohnK
Jan
14
comment Distribution of continuous uniform RV with upper limit being another continuous uniform RV
Thank you for your comment. Yeah, the graph disproves the statement itself!
Jan
14
accepted Distribution of continuous uniform RV with upper limit being another continuous uniform RV
Jan
12
asked Distribution of continuous uniform RV with upper limit being another continuous uniform RV