Survey of expert opinion on intelligence: Intelligence research, experts' background, controversial issues, and the media. Heiner Rindermann, David Becker, Thomas R. Coyle. Intelligence, Volume 78, January–February 2020, 101406. https://doi.org/10.1016/j.intell.2019.101406
Highlights
• The survey reports answers for up to 102 intelligence experts on 38 questions.
• Questions examined background factors, IQ testing, and perceptions of the media.
• Most respondents supported g factor theory.
• Experts were skeptical of the accuracy and trustworthiness of the media.
• Political perspective and gender correlated with experts' answers.
Abstract: Experts (Nmax = 102 answering) on intelligence completed a survey about IQ research, controversies, and the media. The survey was conducted in 2013 and 2014 using the Internet-based Expert Questionnaire on Cognitive Ability (EQCA). In the current study, we examined the background of the experts (e.g., nationality, gender, religion, and political orientation) and their positions on intelligence research, controversial issues, and the media. Most experts were male (83%) and from Western countries (90%). Political affiliations ranged from the left (liberal, 54%) to the right (conservative, 24%), with more extreme responses within the left-liberal spectrum. Experts rated the media and public debates as far below adequate. Experts with a left (liberal, progressive) political orientation were more likely to have positive views of the media (around r = |.30|). In contrast, compared to female and left (liberal) experts, male and right (conservative) experts were more likely to endorse the validity of IQ testing (correlations with gender, politics: r = .55, .41), the g factor theory of intelligence (r = .18, .34), and the impact of genes on US Black-White differences (r = .50, .48). The paper compares the results to those of prior expert surveys and discusses the role of experts' backgrounds, with a focus on political orientation and gender. An underrepresentation of viewpoints associated with experts' background characteristics (i.e., political views, gender) may distort research findings and should be addressed in higher education policy.
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