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Olson, Richard K.; Hulslander, Jacqueline; Christopher, Micaela; Keenan, Janice M.; Wadsworth, Sally J.; Willcutt, Erik G.; Pennington, Bruce F.; DeFries, John C. – Annals of Dyslexia, 2013
Identical and fraternal twins (N = 540, age 8 to 18 years) were tested on three different measures of writing (Woodcock-Johnson III Tests of Achievement--Writing Samples and Writing Fluency; Handwriting Copy from the Group Diagnostic Reading and Aptitude Achievement Tests), three different language skills (phonological awareness, rapid naming, and…
Descriptors: Measurement, Achievement Tests, Genetics, Word Recognition
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Bartels, Meike; Boomsma, Dorret I.; Hudziak, James J.; van Beijsterveldt, Toos C. E. M.; van den Oord, Edwin J. C. G. – Psychological Methods, 2007
Genetically informative data can be used to address fundamental questions concerning the measurement of behavior in children. The authors illustrate this with longitudinal multiple-rater data on internalizing problems in twins. Valid information on the behavior of a child is obtained for behavior that multiple raters agree upon and for…
Descriptors: Twins, Behavior Problems, Genetics, Error of Measurement
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Van Hulle, C. A.; Lemery-Chalfant, K.; Goldsmith, H. H. – Journal of Child Psychology and Psychiatry, 2007
Background: Relatively little is known about the genetic architecture of childhood behavioral disorders in very young children. Method: In this study, parents completed the Infant-Toddler Social and Emotional Assessment, a questionnaire that assesses symptoms of childhood disorders, as well as socio-emotional competencies, for 822 twin pairs…
Descriptors: Twins, Behavior Disorders, Toddlers, Infants
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Behrman, Jere R.; Rosenzweig, Mark R. – Economics of Education Review, 1999
Using a new twins sample, presents new estimates of schooling returns and "ability" bias and tests that bias's significance. Ability bias may exist even if ability's genetically-endowed component does not affect schooling decisions directly when correlated with other family characteristics (like income) that do affect schooling. (19…
Descriptors: Ability, Elementary Secondary Education, Error of Measurement, Estimation (Mathematics)
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Rouse, Cecilia Elena – Economics of Education Review, 1999
Reexamines Ashenfelter and Krueger's estimates of schooling returns (13%), using three additional years of the same twins survey. Finds a 10% return per year of schooling completed. The within-twin regression estimate of schooling's effect in the log wage is smaller than the cross-sectional estimate. (14 references) (MLH)
Descriptors: Education Work Relationship, Elementary Secondary Education, Error of Measurement, Estimation (Mathematics)
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Bound, John; Solon, Gary – Economics of Education Review, 1999
Summarizes the literature on twins-based estimations of schooling returns. Examines implications of endogenous determination of which twin goes to school longer and of measuring schooling with error. Twin-based estimation may complement other methodologies, but is vulnerable to the same inconsistency that afflicts conventional cross-sectional…
Descriptors: Ability, Education Work Relationship, Elementary Secondary Education, Error of Measurement
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Neumark, David – Economics of Education Review, 1999
Recent within-twin estimates of schooling returns are considerably higher than existing estimates. This paper shows that small ability differences among twins can yield more upward omitted-ability bias (and more upward bias overall) in the instrumental variables estimate correcting for measurement error than in the standard within-twin estimate.…
Descriptors: Bias, Econometrics, Education Work Relationship, Elementary Secondary Education
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Neale, Michael C.; And Others – Multivariate Behavioral Research, 1994
In studies of relatives, conventional multiple regression may not be appropriate because observations are not independent. Obtaining estimates of regression coefficients and correct standard errors from these populations through a structural equation modeling framework is discussed and illustrated with data from twins. (SLD)
Descriptors: Analysis of Covariance, Causal Models, Data Collection, Error of Measurement