User Ed Rigdon

17 votes

Accepted

What does it mean when PCA does not produce a reduction in dimensionality?

answered Feb 27, 2020 at 14:30

8 votes

Expectation of 500 coin flips after 500 realizations

answered Dec 9, 2019 at 16:27

8 votes

Accepted

Why is p-value termed as P(Data | Hypothesis/Model)?

answered Apr 9, 2020 at 22:13

7 votes

Accepted

Does too many variables in a regression model affect inference?

answered Jan 7, 2020 at 22:07

7 votes

Accepted

Why are p-values probabilities rather than likelihoods?

answered Jan 18, 2020 at 12:26

4 votes

Controlling variables in causal diagrams

answered Jan 18, 2020 at 18:46

3 votes

What is the difference between factors and latent variables?

answered Feb 21, 2020 at 13:27

3 votes

ASA discusses limitations of $p$-values - what are the alternatives?

answered Dec 26, 2019 at 14:09

3 votes

Linear regression to answer causal questions

answered Dec 27, 2019 at 12:49

3 votes

What effect(s) would removing the outliers have in a linear regression?

answered Dec 29, 2019 at 17:11

3 votes

Accepted

Can I reverse SEM directions to calculate variables?

answered Feb 25, 2020 at 19:20

2 votes

Factor Analysis: Principal Components vs Maximum Likelihood

answered Apr 14, 2020 at 1:47

2 votes

ARIMA Stock Price Prediction is very bad

answered Apr 18, 2020 at 19:25

2 votes

Group based SEM has different implications when run individally

answered Apr 22, 2020 at 1:58

2 votes

Using SEM to run one-way and two-way ANOVAs

answered Mar 9, 2020 at 20:19

2 votes

Why does second component have to be orthogonal to the first component in PCA?

answered Dec 27, 2019 at 13:10

2 votes

In regression analysis, how does one know which transformation to apply to either the response variables or features?

answered Dec 23, 2019 at 15:11

2 votes

Using Principal Components to create my y variable when many different y variables are available

answered Jan 18, 2020 at 14:11

1 vote

SEM: High SRMR in model with binary predictor. Other fit indices OK

answered Jan 18, 2020 at 16:21

1 vote

Accepted

Which components should be chosen to analysis?

answered Jan 19, 2020 at 16:31

1 vote

why there different standard error form in Hypothesis testing

answered Jan 10, 2020 at 16:27

1 vote

How can I combine different principal components into one index?

answered Jan 10, 2020 at 16:35

1 vote

CFA markers and latent variable's variance

answered Jan 2, 2020 at 17:06

1 vote

Is it appropriate to use "time" as a causal variable in a DAG?

answered Jan 3, 2020 at 2:49

1 vote

Can you do CFA with non-survey data?

answered Jan 6, 2020 at 0:58

1 vote

Removing parameters in SEM when $\chi^2$ value and DF are 0

answered Jan 21, 2020 at 20:55

1 vote

How to calculate the variance-covariance matrix of the principal components from the variance-covariance matrix of the original data?

answered Jan 24, 2020 at 16:16

1 vote

What statistical test is this?

answered Mar 1, 2020 at 16:36

1 vote

Can I have 2 Cronbach's alphas?

answered Mar 1, 2020 at 16:40

1 vote

Accepted

Dimension Reduction Using Correlation Weighted Linear Aggregation

answered Mar 3, 2020 at 17:48

Stack Exchange Network

69 Answers

What does it mean when PCA does not produce a reduction in dimensionality?

Expectation of 500 coin flips after 500 realizations

Why is p-value termed as P(Data | Hypothesis/Model)?

Does too many variables in a regression model affect inference?

Why are p-values probabilities rather than likelihoods?

Controlling variables in causal diagrams

What is the difference between factors and latent variables?

ASA discusses limitations of $p$-values - what are the alternatives?

Linear regression to answer causal questions

What effect(s) would removing the outliers have in a linear regression?

Can I reverse SEM directions to calculate variables?

Factor Analysis: Principal Components vs Maximum Likelihood

ARIMA Stock Price Prediction is very bad

Group based SEM has different implications when run individally

Using SEM to run one-way and two-way ANOVAs

Why does second component have to be orthogonal to the first component in PCA?

In regression analysis, how does one know which transformation to apply to either the response variables or features?

Using Principal Components to create my y variable when many different y variables are available

SEM: High SRMR in model with binary predictor. Other fit indices OK

Which components should be chosen to analysis?

why there different standard error form in Hypothesis testing

How can I combine different principal components into one index?

CFA markers and latent variable's variance

Is it appropriate to use "time" as a causal variable in a DAG?

Can you do CFA with non-survey data?

Removing parameters in SEM when $\chi^2$ value and DF are 0

How to calculate the variance-covariance matrix of the principal components from the variance-covariance matrix of the original data?

What statistical test is this?

Can I have 2 Cronbach's alphas?

Dimension Reduction Using Correlation Weighted Linear Aggregation