Tag Archives: Uncategorized

Bad experience at MDPI (J. Intell.) journal

After OP journal, here, I had problems with MDPI (J. Intell.) as well. Since I have decided not to publish at OP, my Wordsum article had to be published somewhere. I thought about MDPI because it is the one that … Continue reading

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Get (easily) introduced to Stata

I do not want to make multiple posts on this topic. So, this post will be updated little by little (if I learn something new). Here’s the list of essential commands for creating variables, making basic (and advanced) statistical analyses.

Posted in Stats, Stats, Softwares, Syntax | Tagged

“If you don’t like it, don’t watch it”

There are usually silly comments I read on the internet, but this one makes me furious. I have a list of things I have seen on the Internet that I don’t like, but this one is very special. I think … Continue reading

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Error Correction Model in Time Series Regression

A strong assumption of time series regression, a widely used technique in econometrics, is the stationarity. It requires that the variables entered in the regression have their variances (standard deviations), covariances (auto-correlations), and means, that are independent of time. A … Continue reading

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How to use NCES public data sets (NAEP, BPS, NPSAS, TIMSS, PIRLS, PISA, etc.)

This is a copy-paste (nearly) of the appendix I have recently made for a paper published at OpenPsych. I found it difficult to navigate, so I believe it needs to be clarified. This makes replication much easier.

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The consequence of ignoring measurement (and sampling) error(s) in subject matter. An example with a race-denialism argument.

When I come to read the same fallacy over and over again, I become tired. As shown in the right upper corner on my blog, an isolated anecdote cannot be equated with data. The reason is due to both measurement … Continue reading

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The all other things being equal assumption

I get the impression that a lot of people around the web confound absolutely everything when talking about correlations on the topic of social sciences. They supply a biased, incomplete, or truncated reality of what actually really is.

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Science has gone awry

This was a recent article published at The Economist. Basically, I am not surprised at all about scientific misconduct and biases. This is why I don’t generally trust scientists. Anyway :

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Women : Money and Lie

While it is true that women generally seek to marry rich men for a purpose well understood in evolutionary psychology, chinese women seem to have another goal. They simply love money. This is not to say that it represents a … Continue reading

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Using Survey data : Some Technical Notes

When using and studying survey data, some difficulties may emerge especially regarding the specific variables being used. And so, several things must be kept in mind.

Posted in IQ Survey & Analysis | Tagged