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Lisa L O''Dell

Biographic Data

ID1660746
NAMELisa L O''Dell
GIVEN NAMESLisa L
FAMILY NAMEO''Dell
SIGNATUREDELL L L O
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS3
AUTHOR COUNT1
EDITOR COUNT0
FIRST PUBLICATION YEAR1994
LATEST PUBLICATION YEAR1994
H-INDEX1
  • Applications of standard error estimates in unrestricted factor analysis: Significance tests for factor loadings and correlations

    Robert Cudeck, Lisa L O''Dell et al.•ARTICLE•Psychological Bulletin•1994•Cited by: 3

    Estimates of standard errors of factor loadings and factor correlations in the unrestricted factor analysis model can be computed for oblique or orthogonal solutions under maximum likelihood. This information can be used to test individual coefficients for significance, to evaluate whether an orthogonal or oblique structure is most consistent with sample data, or to compute confidence intervals for single parameters or confidence regions for arbi…

  • Applications of standard error estimates in unrestricted factor analysis: Significance tests for factor loadings and correlations

    Robert Cudeck, Lisa L O''Dell et al.•ARTICLE•Psychological Bulletin•1994•Cited by: 3

    Estimates of standard errors of factor loadings and factor correlations in the unrestricted factor analysis model can be computed for oblique or orthogonal solutions under maximum likelihood. This information can be used to test individual coefficients for significance, to evaluate whether an orthogonal or oblique structure is most consistent with sample data, or to compute confidence intervals for single parameters or confidence regions for arbi…

  • Applications of standard error estimates in unrestricted factor analysis: Significance tests for factor loadings and correlations

    Robert Cudeck, Lisa L O''Dell et al.•ARTICLE•Psychological Bulletin•1994•Cited by: 3

    Estimates of standard errors of factor loadings and factor correlations in the unrestricted factor analysis model can be computed for oblique or orthogonal solutions under maximum likelihood. This information can be used to test individual coefficients for significance, to evaluate whether an orthogonal or oblique structure is most consistent with sample data, or to compute confidence intervals for single parameters or confidence regions for arbi…

Advanced Statistical Modeling Techniques (1 works) · Bonferroni correction (1 works) · Computer Science (1 works) · Confidence interval (1 works) · Econometrics (1 works) · Factor (programming language) (1 works) · Factor analysis (1 works) · Mathematics (1 works) · Oblique case (1 works) · Optimal Experimental Design Methods (1 works)

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