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David R Soderquist

Biographic Data

ID5970992
NAMEDavid R Soderquist
GIVEN NAMESDavid R
FAMILY NAMESoderquist
SIGNATURESODERQUIST D R
AFFILIATIONSDepartment of Psychology University of North Carolina at Greensboro
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1976
LATEST PUBLICATION YEAR1978
H-INDEX0
  • The Utility of Within-Subjects Variables

    Open Access•Jacquelyn W Gaebelein, David R Soderquist•ARTICLE•Educational and Psychological…•1978

    Procedures to estimate the magnitude of a treatment effect are examined for analysis of variance designs which have repeated-measures. It is shown that the estimate of the magnitude of an effect logically follows from the expected mean squares associated with the design in question. In particular, it is argued that the estimate of utility (strength of effect) for a within-subjects variable should be adjusted to reflect the underlying ANOVA model;…

  • A note on variance explained in the mixed analysis of variance models

    Jacquelyn W Gaebelein, David R Soderquist et al.•ARTICLE•Psychological Bulletin•1976

  • A note on variance explained in the mixed analysis of variance models

    Jacquelyn W Gaebelein, David R Soderquist et al.•ARTICLE•Psychological Bulletin•1976

No prominent works on this page.

  • A note on variance explained in the mixed analysis of variance models

    Jacquelyn W Gaebelein, David R Soderquist et al.•ARTICLE•Psychological Bulletin•1976

  • A note on variance explained in the mixed analysis of variance models

    Jacquelyn W Gaebelein, David R Soderquist et al.•ARTICLE•Psychological Bulletin•1976

  • The Utility of Within-Subjects Variables

    Open Access•Jacquelyn W Gaebelein, David R Soderquist•ARTICLE•Educational and Psychological…•1978

    Procedures to estimate the magnitude of a treatment effect are examined for analysis of variance designs which have repeated-measures. It is shown that the estimate of the magnitude of an effect logically follows from the expected mean squares associated with the design in question. In particular, it is argued that the estimate of utility (strength of effect) for a within-subjects variable should be adjusted to reflect the underlying ANOVA model;…

Analysis of variance (3 works) · Econometrics (3 works) · Economics (3 works) · Mathematics (3 works) · Statistics (3 works) · Variance (accounting) (3 works) · Conditional variance (2 works) · Law of total variance (2 works) · Multicollinearity (2 works) · One-way analysis of variance (2 works)

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