Publications en collaboration avec des chercheurs de Universidad de Santiago de Chile (18)

2023

  1. Multivariate Analysis of Covariance for Heterogeneous and Incomplete Data

    Psychological Methods

2020

  1. Sensitivity of fi ve information criteria to discriminate covariance structures with missing data in repeated measures designs

    Psicothema, Vol. 32, Núm. 3, pp. 399-409

2019

  1. Sample size estimation for heterogeneous growth curve models with attrition

    Behavior Research Methods, Vol. 51, Núm. 3, pp. 1216-1243

2018

  1. Data analysis of incomplete repeated measures using a multivariate extension of the Brown-Forsythe procedure

    Psicothema, Vol. 30, Núm. 4, pp. 434-441

  2. The (Ir)responsibility of (under)estimating missing data

    Frontiers in Psychology, Vol. 9, Núm. APR

2017

  1. Power of modified brown-forsythe and mixed-model approaches in split-plot designs

    Methodology, Vol. 13, Núm. 1, pp. 9-22

2015

  1. Effects of Modeling the Heterogeneity on Inferences Drawn from Multilevel Designs

    Multivariate Behavioral Research, Vol. 50, Núm. 1, pp. 75-90

2014

  1. Validez estructurada para una investigación cuasi-experimental de calidad: se cumplen 50 años de la presentación en sociedad de los diseños cuasi-experimentales

    Anales de psicología, Vol. 30, Núm. 2, pp. 756-771

2013

  1. Covariance structure selection and Type i error rates in split-plot designs

    Methodology, Vol. 9, Núm. 4, pp. 129-136

2011

  1. Comparison of Modern Methods for Analyzing Repeated Measures Data with Missing Values

    Multivariate Behavioral Research, Vol. 46, Núm. 6, pp. 900-937

  2. Selecting the best unbalanced repeated measures model

    Behavior Research Methods, Vol. 43, Núm. 1, pp. 18-36

2010

  1. Analysis of type i error rates of univariate and multivariate procedures in repeated measures designs

    Communications in Statistics: Simulation and Computation, Vol. 39, Núm. 3, pp. 624-640

  2. Analysis of unbalanced factorial designs with heteroscedastic data

    Journal of Statistical Computation and Simulation, Vol. 80, Núm. 1, pp. 75-88

  3. Compative robustness of six tests in repeated measures designs with specified departures from sphericity

    Quality and Quantity, Vol. 44, Núm. 2, pp. 289-301

2008

  1. A practical method for analyzing factorial designs with heteroscedastic data

    Psychological Reports, Vol. 102, Núm. 3, pp. 643-656

2007

  1. Examen comparativo de la sensibilidad de dos enfoques robustos para detectar los efectos de un diseño doblemente multivariado

    Revista Mexicana de Psicologia, Vol. 24, Núm. 1, pp. 53-64

  2. Power differences between the modified Brown-Forsythe and mixed-model approaches in repeated measures designs

    Methodology, Vol. 3, Núm. 1, pp. 1-13

2005

  1. Comparison of two procedures for analyzing small sets of repeated measures data

    Multivariate Behavioral Research, Vol. 40, Núm. 2, pp. 179-205