User Behacad

40 votes

4 answers

60k views

X and Y are not correlated, but X is significant predictor of Y in multiple regression. What does it mean?

asked Aug 7, 2012 at 21:09

37 votes

8 answers

14k views

Help me calculate how many people will come to my wedding! Can I attribute a percentage to each person and add them?

asked Apr 13, 2014 at 4:55

26 votes

2 answers

30k views

General Linear Model vs. Generalized Linear Model (with an identity link function?)

asked Feb 15, 2011 at 19:28

26 votes

6 answers

20k views

How to get started with applying item response theory and what software to use?

asked Sep 14, 2011 at 22:44

24 votes

5 answers

12k views

Are mediation analyses inherently causal?

asked Jul 21, 2011 at 15:00

14 votes

2 answers

4k views

Complications of having a very small sample in a structural equation model

asked May 1, 2011 at 17:28

14 votes

3 answers

2k views

How can I predict the odds that a dodgeball team is going to win based on the winning history of its players?

asked Mar 18, 2013 at 4:46

14 votes

3 answers

23k views

Where do the descriptors for Cronbach's alpha values come from (e.g., poor, excellent)?

asked Sep 17, 2013 at 16:34

12 votes

2 answers

16k views

How to reduce number of items using factor analysis, internal consistency, and item response theory in conjunction?

asked Jul 17, 2012 at 18:39

12 votes

2 answers

23k views

Difference between exploratory and confirmatory factor analysis in determining construct independence

asked Jul 22, 2012 at 3:42

9 votes

1 answer

2k views

EFA clearly supports one-factor, measure is internally consistent, but CFA has poor fit?

asked Apr 13, 2013 at 19:35

8 votes

1 answer

3k views

What are the primary differences between Taxometric analyses (e.g., MAXCOV, MAXEIG) and Latent Class analyses?

asked Apr 2, 2012 at 21:35

6 votes

2 answers

656 views

Is there an easy way to calculate significant difference between two largely overlapping correlations from same sample?

asked May 29, 2012 at 19:10

6 votes

2 answers

202 views

Sampling considerations in psychometric applications of item response theory

asked Sep 27, 2011 at 15:15

6 votes

3 answers

6k views

How to, or what is the best way, to apply propensity scores after matching?

asked Mar 28, 2012 at 0:10

6 votes

1 answer

2k views

Is it better to use data imputation for missing data or an analysis that is not affected by missing data (e.g., HLM/mixed effects modelling)?

asked Apr 1, 2014 at 2:27

5 votes

1 answer

307 views

Why does my power vary markedly between a z-test (2 proportions) and a chi-squared test?

asked Apr 6, 2016 at 18:42

4 votes

4 answers

934 views

Is it most beneficial to become fluent in R, or only learn select packages that do what you need?

asked Oct 9, 2013 at 13:43

4 votes

1 answer

1k views

Is it appropriate to calculate odds ratios between groups matched on covariates (propensity scores)?

asked Apr 16, 2012 at 19:37

4 votes

2 answers

498 views

Must there be "an effect to be mediated" in mediational analysis (i.e., must IVs & DVs be correlated)?

asked Aug 3, 2012 at 21:37

3 votes

2 answers

2k views

Can I do parallel analysis with any type of exploratory factor analysis/principal component analysis?

asked Apr 16, 2013 at 0:27

3 votes

2 answers

636 views

Do dichotomous or continuous moderators lead to most statistical power when testing interactions?

asked Sep 26, 2016 at 19:17

3 votes

1 answer

4k views

Do Beta weights from regression have error terms?

asked Apr 17, 2014 at 2:24

2 votes

1 answer

3k views

How do I "nest" data in a mixed-effects model? and MANY related questions about mixed effects models!

asked Apr 3, 2014 at 12:45

2 votes

2 answers

484 views

Intensive resources for learning R (e.g., classes, workshops)?

asked Sep 18, 2013 at 17:58

2 votes

1 answer

2k views

What statistical analysis is most appropriate for a cross-over treatment design? How many participants?

asked Jan 23, 2013 at 20:33

2 votes

0 answers

142 views

X and Y are not correlated, but X is significant predictor of Y in multiple regression. What does it mean? [duplicate]

asked Aug 7, 2012 at 2:57

1 vote

1 answer

722 views

Personality traits as fixed vs. random effects in a repeated measures mixed model

asked Jul 22, 2013 at 19:51

Stack Exchange Network

28 Questions

X and Y are not correlated, but X is significant predictor of Y in multiple regression. What does it mean?

Help me calculate how many people will come to my wedding! Can I attribute a percentage to each person and add them?

General Linear Model vs. Generalized Linear Model (with an identity link function?)

How to get started with applying item response theory and what software to use?

Are mediation analyses inherently causal?

Complications of having a very small sample in a structural equation model

How can I predict the odds that a dodgeball team is going to win based on the winning history of its players?

Where do the descriptors for Cronbach's alpha values come from (e.g., poor, excellent)?

How to reduce number of items using factor analysis, internal consistency, and item response theory in conjunction?

Difference between exploratory and confirmatory factor analysis in determining construct independence

EFA clearly supports one-factor, measure is internally consistent, but CFA has poor fit?

What are the primary differences between Taxometric analyses (e.g., MAXCOV, MAXEIG) and Latent Class analyses?

Is there an easy way to calculate significant difference between two largely overlapping correlations from same sample?

Sampling considerations in psychometric applications of item response theory

How to, or what is the best way, to apply propensity scores after matching?

Is it better to use data imputation for missing data or an analysis that is not affected by missing data (e.g., HLM/mixed effects modelling)?

Why does my power vary markedly between a z-test (2 proportions) and a chi-squared test?

Is it most beneficial to become fluent in R, or only learn select packages that do what you need?

Is it appropriate to calculate odds ratios between groups matched on covariates (propensity scores)?

Must there be "an effect to be mediated" in mediational analysis (i.e., must IVs & DVs be correlated)?

Can I do parallel analysis with any type of exploratory factor analysis/principal component analysis?

Do dichotomous or continuous moderators lead to most statistical power when testing interactions?

Do Beta weights from regression have error terms?

How do I "nest" data in a mixed-effects model? and MANY related questions about mixed effects models!

Intensive resources for learning R (e.g., classes, workshops)?

What statistical analysis is most appropriate for a cross-over treatment design? How many participants?

X and Y are not correlated, but X is significant predictor of Y in multiple regression. What does it mean? [duplicate]

Personality traits as fixed vs. random effects in a repeated measures mixed model