{
  "creator": [
    "van Ginkel, Joost R.",
    "Kroonenberg, Pieter M."
  ],
  "date": [
    "2021-03-31"
  ],
  "description": [
    "A balanced ANOVA design provides an unambiguous interpretation of the F-tests, and has more power than an unbalanced design. In earlier literature, multiple imputation was proposed to create balance in unbalanced designs, as an alternative to Type-III sum of squares. In the current simulation study we studied four pooled statistics for multiple imputation, namely D₀, D₁, D₂, and D₃ in unbalanced data, and compared them with Type-III sum of squares. Statistics D₁ and D₂ generally performed best regarding Type-I error rates, and had power rates closest to that of Type-III sum of squares. Additionally, for the interaction, D₁ produced power rates higher than Type-III sum of squares. For multiply imputed datasets D₁ and D₂ may be the best methods for pooling the results in multiply imputed datasets, and for unbalanced data, D₁ might be a good alternative to Type-III sum of squares regarding the interaction."
  ],
  "format": [
    "application/pdf",
    "text/html",
    "text/xml"
  ],
  "identifier": [
    "https://meth.psychopen.eu/index.php/meth/article/view/6085",
    "10.5964/meth.6085"
  ],
  "language": [
    "eng"
  ],
  "publisher": [
    "PsychOpen GOLD / Leibniz Institut for Psychology (ZPID)"
  ],
  "relation": [
    "https://meth.psychopen.eu/index.php/meth/article/view/6085/6085.pdf",
    "https://meth.psychopen.eu/index.php/meth/article/view/6085/6085.html",
    "https://meth.psychopen.eu/index.php/meth/article/view/6085/6085.xml"
  ],
  "rights": [
    "Copyright (c) 2021 Joost R. van Ginkel, Pieter M. Kroonenberg",
    "https://creativecommons.org/licenses/by/4.0"
  ],
  "source": [
    "Methodology; Vol. 17 No. 1 (2021); 39-57",
    "1614-2241",
    "1614-1881",
    "10.5964/meth.v17i1"
  ],
  "subject": [
    "unbalanced designs",
    "multiple imputation",
    "two-way analysis of variance",
    "missing data",
    "type-III sum of squares"
  ],
  "title": [
    "Multiple Imputation to Balance Unbalanced Designs for Two-Way Analysis of Variance"
  ],
  "type": [
    "info:eu-repo/semantics/article",
    "info:eu-repo/semantics/publishedVersion",
    "Peer-reviewed article"
  ]
}