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 ItPublished 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 ItA 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 ItAbstract 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 ItAbstract 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 ItAbstract 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 ItEmil 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 ItAbstract 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 ItAbstract 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 ItAbstract 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 ItAbstract 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 ItAbstract 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 ItAbstract 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 ItEmil 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 ItAbstract 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 ItAbstract 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 ItAbstract 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 ItAbstract 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 ItADHD 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 ItIn 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 ItA 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 ItA 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 ItThere 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 ItIt 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 ItAbstract 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 ItAbstract 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 ItAbstract 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 ItAbstract 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 ItDigital 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 ItThis 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 ItThis 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 ItThis 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 ItMaybe, 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 ItThis 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 ItI 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 ItNo! 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 ItMarital Conflicts and the Psychosocial Status of Children and Adolescents: A Case study of Kinondoni District, Tanzania. CHITEGETSE MINANAGO (Open University of Tan...
Read ItIntraclass 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 ItIn 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 ...
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