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Douglas Wahlsten

Biographic Data

ID800726
NAMEDouglas Wahlsten
GIVEN NAMESDouglas
FAMILY NAMEWahlsten
SIGNATUREWAHLSTEN D
AFFILIATIONSUniversity of Alberta
VERIFIEDNo
TOTAL WORKS5
TOTAL CITATIONS3
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1991
LATEST PUBLICATION YEAR2007
H-INDEX1
  • Progress in the Developmental Genetic Analysis of Behavior

    Open Access•Douglas Wahlsten•ARTICLE•International Journal of…•2007

    Near the end of his illustrious career, Gottlieb lamented the continued dominance of heritability analysis in human psychology and the difficulties in winning support for the developmental point of view. Recent, spectacular progress in molecular genetic neuroscience and the genetic study of behavior, however, is rendering heritability analysis passé. In many recent articles that mention “heritability,” the term is employed in the generic sense of…

  • Analysis of Variance in the Service of Interactionism

    Open Access•Douglas Wahlsten•ARTICLE•Human Development•2000

    Vreeke (this issue) asserts: "If you hold that reality is interactive, but use methods which presuppose the separateness of genes and the environment, your are stuck with a problem of interpretation." A similar point was made recently by a colleague in behavior genetics who chastised me, a critic of heritability analysis [Wahlsten, 1990, 1994, 1999a, 1999b], for employing the analysis of variance (ANOVA) in a recent study [Crabbe, Wahlsten and Du…

  • Race, Evolution and Behavior

    Open Access•Douglas Wahlsten•REVIEW•The Canadian Journal of Sociology•1995

  • Sample size to detect a planned contrast and a one degree-of-freedom interaction effect

    Douglas Wahlsten•ARTICLE•Psychological Bulletin•1991

    A simple method is described for estimating the sample size per group required for specified power to detect a linear contrast among J group means.This allows comparison of sample sizes to detect main effects with those needed to detect several realistic kinds of interaction in 2 × 2 and 2 × 2 × 2 designs with a fixed-effects model.For example, when 2 factors are multiplicative, the sample size required to detect the presence of nonadditivity is …

  • Sample size to detect a planned contrast and a one degree-of-freedom interaction effect

    Douglas Wahlsten•ARTICLE•Psychological Bulletin•1991•Cited by: 3•References: 3

    A simple method is described for estimating the sample size per group required for specified power to detect a linear contrast among J group means. This allows comparison of sample sizes to detect main effects with those needed to detect several realistic kinds of interaction in 2 × 2 and 2 × 2 × 2 designs with a fixed-effects model. For example, when 2 factors are multiplicative, the sample size required to detect the presence of nonadditivity i…

  • Sample size to detect a planned contrast and a one degree-of-freedom interaction effect

    Douglas Wahlsten•ARTICLE•Psychological Bulletin•1991•Cited by: 3•References: 3

    A simple method is described for estimating the sample size per group required for specified power to detect a linear contrast among J group means. This allows comparison of sample sizes to detect main effects with those needed to detect several realistic kinds of interaction in 2 × 2 and 2 × 2 × 2 designs with a fixed-effects model. For example, when 2 factors are multiplicative, the sample size required to detect the presence of nonadditivity i…

  • Sample size to detect a planned contrast and a one degree-of-freedom interaction effect

    Douglas Wahlsten•ARTICLE•Psychological Bulletin•1991

    A simple method is described for estimating the sample size per group required for specified power to detect a linear contrast among J group means.This allows comparison of sample sizes to detect main effects with those needed to detect several realistic kinds of interaction in 2 × 2 and 2 × 2 × 2 designs with a fixed-effects model.For example, when 2 factors are multiplicative, the sample size required to detect the presence of nonadditivity is …

  • Sample size to detect a planned contrast and a one degree-of-freedom interaction effect

    Douglas Wahlsten•ARTICLE•Psychological Bulletin•1991•Cited by: 3•References: 3

    A simple method is described for estimating the sample size per group required for specified power to detect a linear contrast among J group means. This allows comparison of sample sizes to detect main effects with those needed to detect several realistic kinds of interaction in 2 × 2 and 2 × 2 × 2 designs with a fixed-effects model. For example, when 2 factors are multiplicative, the sample size required to detect the presence of nonadditivity i…

  • Race, Evolution and Behavior

    Open Access•Douglas Wahlsten•REVIEW•The Canadian Journal of Sociology•1995

  • Analysis of Variance in the Service of Interactionism

    Open Access•Douglas Wahlsten•ARTICLE•Human Development•2000

    Vreeke (this issue) asserts: "If you hold that reality is interactive, but use methods which presuppose the separateness of genes and the environment, your are stuck with a problem of interpretation." A similar point was made recently by a colleague in behavior genetics who chastised me, a critic of heritability analysis [Wahlsten, 1990, 1994, 1999a, 1999b], for employing the analysis of variance (ANOVA) in a recent study [Crabbe, Wahlsten and Du…

  • Progress in the Developmental Genetic Analysis of Behavior

    Open Access•Douglas Wahlsten•ARTICLE•International Journal of…•2007

    Near the end of his illustrious career, Gottlieb lamented the continued dominance of heritability analysis in human psychology and the difficulties in winning support for the developmental point of view. Recent, spectacular progress in molecular genetic neuroscience and the genetic study of behavior, however, is rendering heritability analysis passé. In many recent articles that mention “heritability,” the term is employed in the generic sense of…

Psychology (3 works) · Advanced Statistical Methods and Models (2 works) · Artificial Intelligence (2 works) · Chemistry (2 works) · Computer Science (2 works) · Mathematics (2 works) · Optimal Experimental Design Methods (2 works) · Physics (2 works) · Sample size determination (2 works) · Sensory Analysis and Statistical Methods (2 works)

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