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Bryan W Coyle

Biographic Data

ID1661487
NAMEBryan W Coyle
GIVEN NAMESBryan W
FAMILY NAMECoyle
SIGNATURECOYLE B W
AFFILIATIONSMichigan State University
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS5
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1977
LATEST PUBLICATION YEAR1978
H-INDEX1
  • Prediction of Post-High School Labor Force Decisions

    Open Access•Neal Schmitt, John Kenneth White et al.•ARTICLE•Human Relations•1978•Cited by: 1•References: 18

    The present study investigates the utility of employing an interdisciplinary set of variables to predict labor force decisions. Comparisons of demographic, economic, high school experience, and psychological-motivational variables indicated that the best prediction of the post-high school plans of 1,074 high school seniors resulted from high school experience variables. However, a combination of the four sets of variables resulted in substantial …

  • A Review And Critique Of Analyses Of Multitrait-Multimethod Matrices

    Neal Schmitt, Bryan W Coyle et al.•ARTICLE•Multivariate Behavioral Research•1977

    Six methods of evaluating the degree to which multitrait-multimethod matrices meet the Campbell-Fiske criteria (1959) for construct validity are illustrated and evaluated. It is concluded that the path analytic method (Werts & Linn, 1970) provides the most detailed information regarding individual traits and methods as well as permitting the evaluation of alternate models of the data which involve rank reduction in methods, traits, or both. The a…

  • A Monte Carlo evaluation of three formula estimates of cross-validated multiple correlation

    Neal Schmitt, Bryan W Coyle et al.•ARTICLE•Psychological Bulletin•1977•Cited by: 4

  • A Monte Carlo evaluation of three formula estimates of cross-validated multiple correlation

    Neal Schmitt, Bryan W Coyle et al.•ARTICLE•Psychological Bulletin•1977•Cited by: 4

  • Prediction of Post-High School Labor Force Decisions

    Open Access•Neal Schmitt, John Kenneth White et al.•ARTICLE•Human Relations•1978•Cited by: 1•References: 18

    The present study investigates the utility of employing an interdisciplinary set of variables to predict labor force decisions. Comparisons of demographic, economic, high school experience, and psychological-motivational variables indicated that the best prediction of the post-high school plans of 1,074 high school seniors resulted from high school experience variables. However, a combination of the four sets of variables resulted in substantial …

  • A Review And Critique Of Analyses Of Multitrait-Multimethod Matrices

    Neal Schmitt, Bryan W Coyle et al.•ARTICLE•Multivariate Behavioral Research•1977

    Six methods of evaluating the degree to which multitrait-multimethod matrices meet the Campbell-Fiske criteria (1959) for construct validity are illustrated and evaluated. It is concluded that the path analytic method (Werts & Linn, 1970) provides the most detailed information regarding individual traits and methods as well as permitting the evaluation of alternate models of the data which involve rank reduction in methods, traits, or both. The a…

  • A Monte Carlo evaluation of three formula estimates of cross-validated multiple correlation

    Neal Schmitt, Bryan W Coyle et al.•ARTICLE•Psychological Bulletin•1977•Cited by: 4

  • Prediction of Post-High School Labor Force Decisions

    Open Access•Neal Schmitt, John Kenneth White et al.•ARTICLE•Human Relations•1978•Cited by: 1•References: 18

    The present study investigates the utility of employing an interdisciplinary set of variables to predict labor force decisions. Comparisons of demographic, economic, high school experience, and psychological-motivational variables indicated that the best prediction of the post-high school plans of 1,074 high school seniors resulted from high school experience variables. However, a combination of the four sets of variables resulted in substantial …

Econometrics (3 works) · Mathematics (3 works) · Statistics (3 works) · Computer Science (2 works) · Psychology (2 works) · Advanced Mathematical Theories and Applications (1 work) · Advanced Statistical Methods and Models (1 work) · Advanced Statistical Process Monitoring (1 work) · Cognitive Science and Mapping (1 work) · Correlation (1 work)

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