狂乱
发表于 2025-3-28 17:51:28
Properties of Second-Order Exponential Models as Multidimensional Response Models,son, J. Classif. 30:276–303, 2013. doi: 10.1007/s00357-00357-013-9131-x; Hessen, Psychometrika 77:693–709, 2012. doi:10.1007/s11336-012-9277-1 Holland, Psychometrika 55:5–18, 1990); however, the philosophical and theoretical underpinnings of the SOE models differ from those of standard item response
ARCHE
发表于 2025-3-28 21:14:08
Pseudo-likelihood Estimation of Multidimensional Response Models: Polytomous and Dichotomous Items,ms. A problem that prevents more widespread use of LMA models is that current estimation methods for moderate to large problems are computationally prohibitive. As a special case of a log-linear model, maximum likelihood estimation (MLE) of LMA models requires iteratively computing fitted values for
Silent-Ischemia
发表于 2025-3-29 00:55:06
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conifer
发表于 2025-3-29 04:30:26
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弄皱
发表于 2025-3-29 08:06:11
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adulterant
发表于 2025-3-29 12:01:07
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有抱负者
发表于 2025-3-29 19:32:38
,Similar DIFs: Differential Item Functioning and Factorial Invariance for Scales with Seven (“Plus oy the same. However, the two types of analysis have rarely been cast in exactly parallel form. Either categorical (IRT) or continuous linear/confirmatory factor analysis (CFA) models may usefully be applied to item response data with seven (or so) response alternatives. This chapter is intended to c
mighty
发表于 2025-3-29 19:57:37
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Gorilla
发表于 2025-3-30 01:30:46
Outcries of Dual Scaling: The Key Is Duality,isplay were discussed to fill the gap of understanding, and the current paper deals with some other points. These two papers can be regarded as a sequel to my paper, entitled “Gleaning in the field of dual scaling,” written 20 years ago. Noting that the basic premise of dual scaling lies in duality
Blood-Clot
发表于 2025-3-30 06:17:14
The Most Predictable Criterion with Fallible Data, composites constitute a set of canonical variates, namely, a criterion variate and a predictor variate. Many statistical analyses in psychometrics deal with fallible data that contain measurement errors. A method of obtaining canonical correlations from the true-score covariance matrix is presented