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Harmonization of Neuroticism and Extraversion phenotypes across inventories and cohorts in the Genetics of Personality Consortium: an application of Item Response Theory

Overview of attention for article published in Behavior Genetics, May 2014
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Title
Harmonization of Neuroticism and Extraversion phenotypes across inventories and cohorts in the Genetics of Personality Consortium: an application of Item Response Theory
Published in
Behavior Genetics, May 2014
DOI 10.1007/s10519-014-9654-x
Pubmed ID
Authors

Stéphanie M. van den Berg, Marleen H. M. de Moor, Matt McGue, Erik Pettersson, Antonio Terracciano, Karin J. H. Verweij, Najaf Amin, Jaime Derringer, Tõnu Esko, Gerard van Grootheest, Narelle K. Hansell, Jennifer Huffman, Bettina Konte, Jari Lahti, Michelle Luciano, Lindsay K. Matteson, Alexander Viktorin, Jasper Wouda, Arpana Agrawal, Jüri Allik, Laura Bierut, Ulla Broms, Harry Campbell, George Davey Smith, Johan G. Eriksson, Luigi Ferrucci, Barbera Franke, Jean-Paul Fox, Eco J. C. de Geus, Ina Giegling, Alan J. Gow, Richard Grucza, Annette M. Hartmann, Andrew C. Heath, Kauko Heikkilä, William G. Iacono, Joost Janzing, Markus Jokela, Lambertus Kiemeney, Terho Lehtimäki, Pamela A. F. Madden, Patrik K. E. Magnusson, Kate Northstone, Teresa Nutile, Klaasjan G. Ouwens, Aarno Palotie, Alison Pattie, Anu-Katriina Pesonen, Ozren Polasek, Lea Pulkkinen, Laura Pulkki-Råback, Olli T. Raitakari, Anu Realo, Richard J. Rose, Daniela Ruggiero, Ilkka Seppälä, Wendy S. Slutske, David C. Smyth, Rossella Sorice, John M. Starr, Angelina R. Sutin, Toshiko Tanaka, Josine Verhagen, Sita Vermeulen, Eero Vuoksimaa, Elisabeth Widen, Gonneke Willemsen, Margaret J. Wright, Lina Zgaga, Dan Rujescu, Andres Metspalu, James F. Wilson, Marina Ciullo, Caroline Hayward, Igor Rudan, Ian J. Deary, Katri Räikkönen, Alejandro Arias Vasquez, Paul T. Costa, Liisa Keltikangas-Järvinen, Cornelia M. van Duijn, Brenda W. J. H. Penninx, Robert F. Krueger, David M. Evans, Jaakko Kaprio, Nancy L. Pedersen, Nicholas G. Martin, Dorret I. Boomsma

Abstract

Mega- or meta-analytic studies (e.g. genome-wide association studies) are increasingly used in behavior genetics. An issue in such studies is that phenotypes are often measured by different instruments across study cohorts, requiring harmonization of measures so that more powerful fixed effect meta-analyses can be employed. Within the Genetics of Personality Consortium, we demonstrate for two clinically relevant personality traits, Neuroticism and Extraversion, how Item-Response Theory (IRT) can be applied to map item data from different inventories to the same underlying constructs. Personality item data were analyzed in >160,000 individuals from 23 cohorts across Europe, USA and Australia in which Neuroticism and Extraversion were assessed by nine different personality inventories. Results showed that harmonization was very successful for most personality inventories and moderately successful for some. Neuroticism and Extraversion inventories were largely measurement invariant across cohorts, in particular when comparing cohorts from countries where the same language is spoken. The IRT-based scores for Neuroticism and Extraversion were heritable (48 and 49 %, respectively, based on a meta-analysis of six twin cohorts, total N = 29,496 and 29,501 twin pairs, respectively) with a significant part of the heritability due to non-additive genetic factors. For Extraversion, these genetic factors qualitatively differ across sexes. We showed that our IRT method can lead to a large increase in sample size and therefore statistical power. The IRT approach may be applied to any mega- or meta-analytic study in which item-based behavioral measures need to be harmonized.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 2 2%
Spain 1 <1%
Denmark 1 <1%
United States 1 <1%
Netherlands 1 <1%
Unknown 96 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 24%
Student > Ph. D. Student 21 21%
Student > Bachelor 14 14%
Student > Master 10 10%
Unspecified 7 7%
Other 26 25%
Readers by discipline Count As %
Psychology 34 33%
Medicine and Dentistry 15 15%
Unspecified 14 14%
Agricultural and Biological Sciences 13 13%
Biochemistry, Genetics and Molecular Biology 7 7%
Other 19 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 May 2018.
All research outputs
#7,481,288
of 12,974,406 outputs
Outputs from Behavior Genetics
#461
of 705 outputs
Outputs of similar age
#90,682
of 211,259 outputs
Outputs of similar age from Behavior Genetics
#9
of 15 outputs
Altmetric has tracked 12,974,406 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 705 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 32nd percentile – i.e., 32% of its peers scored the same or lower than it.
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We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.