| bio | website | twitter.com/ConstantPieters |
|---|---|---|
| location | Netherlands | |
| age | 23 | |
| visits | member for | 1 year, 1 month |
| seen | Apr 15 at 17:17 | |
| stats | profile views | 12 |
Student Marketing Research. Interests include: music, computers, social media (marketing), internet marketing, quantitative marketing, science, statistics and modeling, sports (table tennis), blogging, tech and mobile.
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Apr 12 |
awarded | Popular Question |
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Jan 16 |
awarded | Nice Answer |
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Dec 16 |
awarded | Commentator |
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Dec 16 |
comment |
Examples to teach: Correlation does not mean causation The first one is really cool. |
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May 29 |
asked | Panel-data exploratory data analysis |
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May 10 |
comment |
Finding outliers without assuming normal distribution What I also see sometimes is that researchers drop the top and bottom X % of their observations to reduce the influence of extreme cases. But I'm unsure whether I agree with it, it's quite arbitrary isn't it? |
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May 8 |
comment |
Panel data descriptives, plots and 'feel for the data' Thanks for your suggestion. Now, this code is running for over half an hour now, is this because of the size of my data or is there a little mistake in the code? I already tried to look up some stuff about the code but I'm not that skilled with the STATA Syntax yet. |
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May 7 |
asked | Panel data descriptives, plots and 'feel for the data' |
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May 2 |
answered | Introductory book for multivariate statistics |
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May 2 |
comment |
Summarizing five-point Likert scale Exactly, the weights become less arbitrary and you can look at the factor loadings which question explains a lot of variation. |
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May 1 |
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What are chunk tests? For the sake of clarity, I think I was taught this as a "Partial F-test" where you test 2 or more variables for joint significance. Or whether a subset of variables in your model improves over the more restricted model (just like a likelihood ratio test). Am I correct? |
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May 1 |
answered | Summarizing five-point Likert scale |
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May 1 |
comment |
How well does the normal distribution perform? I think that's what the parameters (mean, stdev) determine. For example a low stdev (imposing a very skinny PDF) may impose a smaller likelihood of extreme values. Please others, correct me if I'm wrong. |
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Apr 30 |
answered | Whether to include $x$ and $x^2$ in regression model examining diminishing returns when only $x^2$ is significant? |
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Apr 29 |
awarded | Scholar |
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Apr 29 |
accepted | Inconsistency in mixed-effects model estimation results (STATA and SPSS) |
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Apr 29 |
comment |
Inconsistency in mixed-effects model estimation results (STATA and SPSS) Thank you for the answer! So simple yet so frustrating. Especially because the labels Std. Err. and Std. Error correspond. Also, the fixed effects results are identical when you look at the numbers. |
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Apr 29 |
comment |
Inconsistency in mixed-effects model estimation results (STATA and SPSS) Thanks for the replies so far. I added the outputs. |
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Apr 29 |
awarded | Editor |
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Apr 29 |
revised |
Inconsistency in mixed-effects model estimation results (STATA and SPSS) Added the outputs |