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Gregory Hancock

Datos Biográficos

ID4493793
NOMBREGregory Hancock
NOMBRESGregory
APELLIDOHancock
FIRMAHANCOCK G
AFILIACIONESAuburn University
VERIFICADONo
TOTAL DE OBRAS5
TOTAL DE CITAS0
OBRAS COMO AUTOR5
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN1993
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0
  • What if we want to test for similarities between groups, rather than differences? Equivalence testing techniques for corpus linguistics

    Open Access•Tove Larsson, Gregory R Hancock et al.•ARTICLE•Corpora•2026

    Tests in the null hypothesis significance testing (nhst) framework are designed to identify differences between groups. Thus, researchers wishing to assess similarities are out of luck if they use widespread techniques in the field, such as t-tests, chi-square tests and linear regression. This is unfortunate given that researchers with many common study designs would benefit from knowing whether there is no difference – or at least no practical d…

  • Reading anxiety and reading achievement

    Open Access•Ana Taboada Barber, Kelly B Cartwright et al.•ARTICLE•Journal of Educational Psychology•2026

  • Quantitive Methods in the Social and Behavioral Sciences

    Gregory Hancock•BOOK•Quantitive Methods in the Social…•2010

  • Performance of Bootstrapping Approaches to Model Test Statistics and Parameter Standard Error Estimation in Structural Equation Modeling

    Jonathan Nevitt, Gregory R Hancock et al.•ARTICLE•Structural Equation Modeling: A…•2001

    Though the common default maximum likelihood estimator used in structural equation modeling is predicated on the assumption of multivariate normality, applied researchers often find themselves with data clearly violating this assumption and without sufficient sample size to utilize distribution-free estimation methods. Fortunately, promising alternatives are being integrated into popular software packages. Bootstrap resampling, which is offered i…

  • Manipulations of Evaluative Rating Scales to Increase Validity

    Open Access•Alan J Klockars, Gregory R Hancock et al.•ARTICLE•Psychological Reports•1993

    Standard five-point rating scales often do not allow raters to capture perceived differences between objects or individuals within a relatively narrow band of the evaluative dimension. In the frequency domain, using a longer rating scale or packing the rating scale with labels from a particular portion of the dimension of interest have both been shown by Hancock and Klockars in 1991 to increase rating validity for differentiating among a narrow r…

Sin obras prominentes en esta página.

  • Manipulations of Evaluative Rating Scales to Increase Validity

    Open Access•Alan J Klockars, Gregory R Hancock et al.•ARTICLE•Psychological Reports•1993

    Standard five-point rating scales often do not allow raters to capture perceived differences between objects or individuals within a relatively narrow band of the evaluative dimension. In the frequency domain, using a longer rating scale or packing the rating scale with labels from a particular portion of the dimension of interest have both been shown by Hancock and Klockars in 1991 to increase rating validity for differentiating among a narrow r…

  • Performance of Bootstrapping Approaches to Model Test Statistics and Parameter Standard Error Estimation in Structural Equation Modeling

    Jonathan Nevitt, Gregory R Hancock et al.•ARTICLE•Structural Equation Modeling: A…•2001

    Though the common default maximum likelihood estimator used in structural equation modeling is predicated on the assumption of multivariate normality, applied researchers often find themselves with data clearly violating this assumption and without sufficient sample size to utilize distribution-free estimation methods. Fortunately, promising alternatives are being integrated into popular software packages. Bootstrap resampling, which is offered i…

  • Quantitive Methods in the Social and Behavioral Sciences

    Gregory Hancock•BOOK•Quantitive Methods in the Social…•2010

  • What if we want to test for similarities between groups, rather than differences? Equivalence testing techniques for corpus linguistics

    Open Access•Tove Larsson, Gregory R Hancock et al.•ARTICLE•Corpora•2026

    Tests in the null hypothesis significance testing (nhst) framework are designed to identify differences between groups. Thus, researchers wishing to assess similarities are out of luck if they use widespread techniques in the field, such as t-tests, chi-square tests and linear regression. This is unfortunate given that researchers with many common study designs would benefit from knowing whether there is no difference – or at least no practical d…

  • Reading anxiety and reading achievement

    Open Access•Ana Taboada Barber, Kelly B Cartwright et al.•ARTICLE•Journal of Educational Psychology•2026

Psychometric Methodologies and Testing (3 obras) · Mathematics (2 obras) · Statistical hypothesis testing (2 obras) · Advanced Statistical Modeling Techniques (1 obra) · Anxiety (1 obra) · Applied linguistics (1 obra) · Bootstrapping (finance) (1 obra) · Categorization, perception, and language (1 obra) · Cognitive psychology (1 obra) · Developmental psychology (1 obra)

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