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Masnick, Amy M.; Morris, Bradley J. – Child Development, 2008
A crucial skill in scientific and everyday reasoning is the ability to interpret data. The present study examined how data features influence data interpretation. In Experiment 1, one hundred and thirty-three 9-year-olds, 12-year-olds, and college students (mean age = 20 years) were shown a series of data sets that varied in the number of…
Descriptors: Data Interpretation, Data Analysis, Children, Preadolescents
Pena, Elizabeth D. – Child Development, 2007
In cross-cultural child development research there is often a need to translate instruments and instructions to languages other than English. Typically, the translation process focuses on ensuring linguistic equivalence. However, establishment of linguistic equivalence through translation techniques is often not sufficient to guard against…
Descriptors: Research Methodology, Linguistics, Validity, Child Development
Peer reviewedWalker, Elaine; Emory, Eugene – Child Development, 1985
Written in response to an article (Horn, 1983) that appeared in special Developmental Behavioral Genetics section of CHILD DEVELOPMENT (Volume 54), this commentary (1) notes some issues concerning Horn's analysis and interpretation of data and (2) highlights the potential for interpretational bias in behavior genetics research. (Author/BE)
Descriptors: Adopted Children, Bias, Data Interpretation, Intelligence Quotient
Peer reviewedHorn, Joseph M. – Child Development, 1985
In this rebuttal to Walker and Emory's commentary (also in this issue), Horn argues that the issue of the influence of environment on the average IQ of adopted children was well discussed in his article (Volume 54 of CHILD DEVELOPMENT). (BE)
Descriptors: Adopted Children, Bias, Data Interpretation, Intelligence Quotient

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