Polychoric and Polyserial Correlations

By Fritz Drasgow. 2006

360 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/164bc86a3c01e03ed4a0514d097ea0db4dc9172d

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In Computational Theory and Mathematics

Citations in the corpus

TEACHER'S CORNER: Structural Equation Modeling With the sem Package in R (2006, methodology): “…data, for example: By default, the hetcor function computes polychoric and polyserial correlations by a relatively quick two-step procedure (see Drasgow, 1986; Olsson, 1979); specifying the argument ML=TRUE causes hetcor to compute pairwise ML estimates instead; in this instance (and as is…”
Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images (2018, neutral): “This is evidenced in strong correlation as assessed by the polyserial coefficient (Drasgow, 2014), designed for comparing ordinal with continuous values (0.”
Reversing the Causal Arrow: The Political Conditioning of Economic Perceptions in the 2000–2004 U.S. Presidential Election Cycle (2010, methodology): “Estimating an SEM using maximum-likelihood fitting criterion and Polychoric correlations—estimated by a two-step procedure (Drasgow 1986) produces consistent estimates of the model parameters.”
Exploring drought vulnerability in Africa: an indicator based analysis to be used in early warning systems (2013, methodology): “In order to assess how the vulnerability indicators are correlated with drought disasters, the tetrachoric correlation (Drasgow, 1986) was computed between the DVI and the numbers of persons reported affected (PRA) by drought disasters retrieved from the EM-DAT data set (The OFDA/CRED International ”
The Effect of Enterprise Systems Implementation on the Firm Information Environment (2013, methodology): “There are statistical issues associated with the use of binary variables (M&A and LOSSES) in factor analysis (Drasgow 1988).”
Strategic alliance contracts: dimensions and determinants of contractual complexity (2007, methodology): “In brief, tetrachoric correlation analysis uses data in 2 × 2 contingency matrices to arrive at estimates of the Pearson correlations that one would obtain had the variables been continuous, bivariate normal, and linearly related (e.g., Drasgow, 1988 ).”