Multidimensional Item Response Theory Modeling of Binary Data: Large Sample Properties of NOHARM Estimates

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Factor Loading Estimation Error and Stability Using Exploratory Factor Analysis (2010, methodology): “Fortunately, mathematical formulae were derived by Maydeu-Olivares (2001) for NOHARM to compute the asymptotic factor loading standard errors for both EFA and CFA.”
Limited Information Goodness-of-fit Testing in Multidimensional Contingency Tables (2006, unknown): “…to use low-order marginals in goodnessof-fit assessment of binary contingency tables, most notably Christoffersson (1975), Reiser (1996), Bartholomew and Leung (2002); see also Cai, Maydeu-Olivares, Coffman, and Thissen (2006), Maydeu-Olivares (2001a, 2001b), and Maydeu-Olivares and Joe (2005).”
A General Family of Limited Information Goodness-of-Fit Statistics for Multinomial Data (2010, methodology): “In contrast, � κ depends on the estimator used (for details see Maydeu-Olivares & Joe, 2005, 2008; Maydeu-Olivares, 2001, 2006 ) and as a result in implementing (18) each estimator needs its own programming.”
Item Parameter Estimation for the MIRT Model (2010, methodology): “Other researchers have included higher interfactor correlations, including Gosz and Walker (2002) with 0.5, 0.75, and 0.9; Tate (2003) with 0.6; Maydeu-Olivares (2001) with 0.5; and Finch, Habing, and Huynh (2003) with 0, 0.3, 0.5, 0.8, and 0.95.”