2007
DOI: 10.1016/j.intell.2006.06.002
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Identification of a Flynn Effect in the NLSY: Moving from the center to the boundaries

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Cited by 44 publications
(46 citation statements)
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“…When all age groups were averaged, this study found that on both the PPVT-R and the PIAT-Math, the raw scores, standard scores, and percentile scores showed an increase in score performance over time. This result is confirmed by Rodgers and Wanstrom (2007), who found a FE in the same data (using regression methods) before adjusting for mother's IQ score. When using IRT-based scores, however, an increase in scores was also found, but was much smaller and, at least for the PPVT-R, a very negligible increase.…”
Section: Discussionsupporting
confidence: 60%
“…When all age groups were averaged, this study found that on both the PPVT-R and the PIAT-Math, the raw scores, standard scores, and percentile scores showed an increase in score performance over time. This result is confirmed by Rodgers and Wanstrom (2007), who found a FE in the same data (using regression methods) before adjusting for mother's IQ score. When using IRT-based scores, however, an increase in scores was also found, but was much smaller and, at least for the PPVT-R, a very negligible increase.…”
Section: Discussionsupporting
confidence: 60%
“…However, recent results show that this rising trend, known as the Flynn effect, is either diminishing or reversing in the most advanced societies. A marginal Flynn effect was still observed among children born between 1973 and 1995 in the United States (Rodgers & Wänström, 2007), most recent trends in Britain are ambiguous (Flynn, 2009;Shayer, Ginsburg & Coe, 2007), and military conscripts born after about 1980 in Denmark (Teasdale & Owen, 2008) and Norway (Sundet, Barlaug & Torjussen, 2004) show stagnating intelligence or a slow decline.…”
Section: Discussionmentioning
confidence: 97%
“…First, FE scholarship should seek to gather data across multiple time periods. While there are some exceptions (e.g., [14,72,73]), most FE work only collects data from two time periods. The minimum number of time periods needed for a latent curve model is three, but four or more is better [17]; the same applies for GMMs.…”
Section: Recommendationsmentioning
confidence: 99%