Spearman’s Hypothesis in the Vietnam Experience Study and National Longitudinal Survey of Youth ‘79

2021 ◽  
Author(s):  
Jordan Lasker ◽  
Emil O. W. Kirkegaard ◽  
Helmuth Nyborg

There are few empirically derived theories explaining group differences in cognitive ability. Spearman's hypothesis is one such theory which holds that group differences are a function of a given test's relationship to general intelligence, g. Research into this hypothesis has generally been limited to the application of a single method lacking sensitivity, specificity, and the ability to assess test bias: Jensen’s method of correlated vectors. In order to overcome the resulting empirical gap, we applied three different psychometrically sound methods to examine the hypothesis among American blacks and whites in the Vietnam Experience Study (VES) and the National Longitudinal Survey of Youth 1979 (NLSY ‘79). We first used multi-group confirmatory factor analysis to assess bias and evaluate the hypothesis directly; we found that strict factorial invariance was tenable in both samples and either the strong or the weak form of the hypothesis was supported, with 87 and 78% of the group differences attributable to g in the VES and NLSY ’79 respectively. Using item response theory metrics to avoid pass rate confounding, a strong relationship between g loadings and group differences (r = 0.80 and 0.79) was observed. Finally, assessing differential item functioning with item level data revealed that a handful of items functioned differently, but their removal did not affect gap sizes much beyond what would be expected from shortening tests, and assessing the effect this had on scores using an anchoring method, the differential functioning was found to be negligible in size. In aggregate, results supported Spearman's hypothesis but not test bias as an explanation for the cognitive differences between the groups we studied.

ILR Review ◽  
1993 ◽  
Vol 47 (1) ◽  
pp. 73-86 ◽  
Author(s):  
Phillip B. Levine

This paper examines the effect of changing the level of unemployment insurance (UI) benefits on workers who do not receive UI. The author hypothesizes a spillover effect between insured and uninsured workers whereby an increase in UI benefits, which leads to longer durations of unemployment for insured workers, results in a reduction in the duration of unemployment for the uninsured. This prediction is supported in tests of data from several March Current Population Surveys, the National Longitudinal Survey of Youth, and aggregate, state-level data.


Author(s):  
Anita Minh ◽  
Ute Bültmann ◽  
Sijmen A. Reijneveld ◽  
Sander K. R. van Zon ◽  
Christopher B. McLeod

Adolescent depressive symptoms are risk factors for lower education and unemployment in early adulthood. This study examines how the course of symptoms from ages 16–25 influences early adult education and employment in Canada and the USA. Using data from the National Longitudinal Survey of Children and Youth (n = 2348) and the National Longitudinal Survey of Youth 79 Child/Young Adult (n = 3961), four trajectories (low-stable; increasing; decreasing; and increasing then decreasing, i.e., mid-peak) were linked to five outcomes (working with a post-secondary degree; a high school degree; no degree; in school; and NEET, i.e., not in employment, education, or training). In both countries, increasing, decreasing, and mid-peak trajectories were associated with higher odds of working with low educational credentials, and/or NEET relative to low-stable trajectories. In Canada, however, all trajectories had a higher predicted probability of either being in school or working with a post-secondary degree than the other outcomes; in the USA, all trajectory groups were most likely to be working with a high school degree. Higher depressive symptom levels at various points between adolescent and adulthood are associated with working with low education and NEET in Canada and the USA, but Canadians are more likely to have better education and employment outcomes.


ILR Review ◽  
1992 ◽  
Vol 45 (3) ◽  
pp. 435-448 ◽  
Author(s):  
Charles A. Register ◽  
Donald R. Williams

Using data on marijuana and cocaine use from the 1984 National Longitudinal Survey of Youth, the authors examine the hypothesis that drug use reduces labor market productivity, as measured by wages. From an analysis that controls for the probability of employment and the endogeneity of drug use, they find that although long-term and on-the-job use of marijuana negatively affected wages, the net productivity effect for all marijuana users (both those who engaged in long-term or on-the-job use and those who did not) was positive. No statistically significant association was found between cocaine use and productivity.


2020 ◽  
Vol 37 (3) ◽  
pp. 264-268
Author(s):  
Tom Perks

Building upon prior theoretical and empirical work, this study explores the sport participation trajectories of children across different socio-economic status (SES) categories to assess the possibility of changes in the SES-sport participation relationship as children age. Using representative panel data from the National Longitudinal Survey of Children and Youth, a multilevel analysis of 4,858 children aged 6 to 9 suggests that as children age the SES effect on sport participation persists over time. However, the SES effect on sport participation appears to have relatively small predictive import compared to other factors.


ILR Review ◽  
1994 ◽  
Vol 47 (3) ◽  
pp. 454-470 ◽  
Author(s):  
Robert Kaestner

Using the 1984 and 1988 waves of the National Longitudinal Survey of Youth, this study provides an update of several previous cross-sectional estimates of the effect of illicit drug use on wages, as well as the first longitudinal estimates of that effect. The cross-sectional results, which are generally consistent with the surprising findings of previous research, suggest that illicit drug use has a large, positive effect on wages. The longitudinal estimates, which control for unobserved heterogeneity in the sample, are mixed: among men, the estimated wage effects of both marijuana and cocaine use are negative, but among women, the effect of cocaine use remains positive and large. Because the longitudinal model is imprecisely estimated, however, those results are inconclusive.


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