Papers Published
It is often said that polygenic traits are based on tons of causal variants each of which has a very small effect size. What is less often discussed is the distribution of these effect sizes, altho...
Read It
Published to The Winnower 2015/10/20.
A properly formatted PDF of this paper can be downloaded here (not sized to A4 sheets).
Abstract
Two new approaches to spatial autocorrelation (SAC) were exami...
Read It
A PDF of this paper without formatting errors can be downloaded here.
Abstract
I review recent findings in human behavioral genetics and their implications for selective breeding and estimation of ...
Read It
Abstract
A reanalysis of (Carl, 2015) revealed that the inclusion of London had a strong effect on the S loading of crime and poverty variables. S factor scores from a dataset without London and re...
Read It
Abstract
A dataset of 127 variables concerning socioeconomic outcomes for US states was analyzed. Of these, 81 were used in a factor analysis. The analysis revealed a general socioeconomic factor. ...
Read It
Abstract
A dataset was compiled with 17 diverse socioeconomic variables for 32 departments of Colombia and the capital district. Factor analysis revealed an S factor. Results were robust to data im...
Read It
Emil O. W. Kirkegaard
Bo Tranberg
Abstract
We present and analyze data from a dataset of 2358 Danish first names and socioeconomic outcomes not previously made available to the public (Navnehjulet,...
Read It
Abstract
A factor analysis was carried out on 6 socioeconomic variables for 506 census tracts of Boston. An S factor was found with positive loadings for median value of owner-occupied homes and av...
Read It
Abstract
It has been found that workers who hail from higher socioeconomic classes have higher earnings even in the same profession. An environmental cause was offered as an explanation of this. I ...
Read It
Abstract
Sizeable S factors were found across 3 different datasets (from years 1991, 2000 and 2010), which explained 56 to 71% of the variance. Correlations of extracted S factors with cognitive ab...
Read It
Abstract
Two methods are presented that allow for identification of mixed cases in the extraction of general factors. Simulated data is used to illustrate them.
Introduction
General factors can be ...
Read It
Abstract
Two datasets of socioeconomic data was obtained from different sources. Both were factor analyzed and revealed a general factor (S factor). These factors were highly correlated with each o...
Read It
Abstract
Using data from the ANES 2012 survey, I investigate the relationship between wordsum IQ estimates (unweighted sums, factor analytic and item-response theory scores) and opinions about nucl...
Read It
Emil O. W. Kirkegaard, Ulster Institute for Social Research. Email: emil@emilkirkegaard.dk
Abstract I reanalyze data reported by Richard Lynn in a 1979 paper concerning IQ and socioeconomic variabl...
Read It
Abstract
Item-level data from Raven’s Standard Progressive Matrices was compiled for 12 diverse groups from previously published studies. The method of correlated vectors was used on every possible...
Read It
Abstract
In this commentary I explain how mean differences between normal distributions give rise to different percentages of the populations being above or below a given threshold, depending on wh...
Read It
Abstract
I argue that traditional scientific publication is extremely costly and that scientific publication must move towards more rapid publication practices. I discuss how this might be accompli...
Read It
Abstract
Researcher choice in reporting of regression models allow for questionable research practices. Here I present a function for R that reports all possible regression models given a set of pr...
Read It
ADHD and general intelligence
are negatively correlated (within populations) and this correlation is driven
by common genetic variants shared between the two phenotypes. This paper
analyzes the ...
Read It
In reply to www.ljzigerell.com/?p=534 and his working paper here: www.ljzigerell.com/?p=2376
We are discussing his working paper over email, and I had some reservations about his factor analysis. I...
Read It
A person on ResearchGate asked the following question:
How can I correlate ordinal variables (attitude Likert scale) with continuous ratio data (years of experience)?
Currently, I am working on my ...
Read It
A link on Reddit claimed that exercise could be an effective treatment for depression. I felt it necessary to comment that:
Exercise does not have a causal effect on depression or happiness accord...
Read It
There was some talk on Twitter around prison rates and inequality:
I wonder why. "Rates of imprisonment are higher in unequal countries t.co/ibDN21PqZX" pic.twitter.com/EJy9vSCMFL MT @ChartsandMap...
Read It
It is a long time ago since I did this project. I did not write about it here before but it is a pity since the results are thus not ‘out there’. I put the project page here in 2012 (!). In short, ...
Read It
Abstract
I reanalyze data published by Lynn and Yadav (2015) for Indian states. I find both G and S factors which correlate at .61.
The statistical language R is used thruout the paper and the code...
Read It
Abstract
I analyze the S factor in Chinese states using data obtained from Lynn and Cheng as well as new data obtained from the Chinese statistical agency. I find that S correlates .42 with IQ and ...
Read It
Abstract
A dataset of 25 diverse socioeconomic indicators for US states was compiled and subjected to factor analysis. Results showed that Washington DC was a strong outlier, but if it is excluded,...
Read It
Abstract
I analyze the S factor in Italian states by reanalyzing data published by Lynn (2010) as well as new data compiled from the Italian statistics agency (7 and 10 socioeconomic variables, res...
Read It
Papers Reviewed
Digital object identifiers (DOIs) are much sought-after commodities in the world of academic publishing. If you’ve never seen one, a DOI is a unique string associated with a particular digital obje...
Read It
This guide is for readers who want to make rich
inferences from their data. It does not contain anything new with regard to R code
or theoretical development, but it does piece together informati...
Read It
This guide is for readers who want to make rich
inferences from their data. It does not contain anything new with regard to R code
or theoretical development, but it does piece together informati...
Read It
This guide is for readers who want to make rich
inferences from their data. It does not contain anything new with regard to R code
or theoretical development, but it does piece together informati...
Read It
Maybe, but probably not by themselves. This post was inspired by Christian Jarrett's recent (you should go read it if you missed it), and the resulting twitter discussion. This will likely develop...
Read It
This is part 2 in a series about confidence intervals ( here's part 1). Answering the question in the title is not really my goal, but simply to discuss confidence intervals and their pros and cons...
Read It
I have to say the news that 55 Italian MPs have written to the House of Lords (via The Times) urging for a rejection of the three-parent-babies law recently approved by the House of Commons got me ...
Read It
No! If you are like most of the sane researchers out there, you don't spend your days and nights worrying about the nuances of different statistical concepts. Especially ones as traditional as thes...
Read It
Marital
Conflicts and the Psychosocial Status of Children and Adolescents: A Case study
of Kinondoni
District, Tanzania.
CHITEGETSE MINANAGO (Open University of Tan...
Read It
Intraclass correlation (ICC) is one of the
most commonly misused indicators of interrater reliability, but a simple
step-by-step process will get it right. In this article, I provide a
brief revie...
Read It
In this paper I present objections to the Kalam Cosmological
Argument (KCA), a modernized formulation of the general class of cosmological
arguments for the existence of god. Specifically, I focus ...
Read It