LSDM

AcronymDefinition
LSDMLeast Squares Distance Method
LSDMLe Saint Detective Magazine
LSDMLagrangian Stochastic Dispersion Model
LSDMLevel Set Deformable Model (imaging)
LSDMLes Sources du Moulin (French: Guesthouse; Belgium)
LSDMLineage Specific Differentiation Marker
References in periodicals archive ?
The LSDM estimate the attribute probabilities directly using least squares (Lawson & Hanson, 1974).
More recently, Dimtrov & Atanasov (2011) proposed a disjunctive version of LSDM, in which the correct response on an item may occur when at least one of the attributes associated with the item is correctly applied, in this case the probability of correct item response is estimated by:
Under the conjunctive LSDM (LSDM-C) to obtain the correct response of an item is necessary to master all attributes associated with the item, while in the disjunctive version (LSDM-D), the correct response is obtained if at least one of the attributes associated with the item is mastered.
b) Mean Absolute Difference (MAD): is an item-level fit index, corresponding to the mean of the absolute differences (across the ability levels), between the IRT probabilities (ICCs) and its LSDM recovery (product of the attribute probabilities according to the Q-matrix).
The LSDM estimates the attribute probabilities directly using the least squares approximation from the linear algebra.
The steps for the application of the LSDM are: a) fix a reasonable number of ability levels in the logit scale, b) having the IRT item parameters and the pre-fixed ability levels, find the probability of correct response on item j in each ability level [P.
The last feature of the LSDM allow to the research make a cross-validation of the results using other componential models like the LLTM.
ij] is the matrix of probabilities recovered by the product of APCs estimated with the LSDM according to the matrix.
Para realizar dicho analisis se ha clasificado la habilidad estimada de los sujetos en uno de los 13 puntos fijos de habilidad (el mas cercano al nivel de cada alumno); de acuerdo a dicha clasificacion se asigna a cada examinado la probabilidad de dominio de cada proceso, correspondiente a los resultados obtenidos en el LSDM.
En la tabla se puede observar que en todas las comunidades se mantiene el orden en la dificultad de los procesos ya evidenciado en la aplicacion general del LSDM, el mas dificil es [A.
El metodo LSDM ha demostrado ser una herramienta util y parsimoniosa para este tipo de analisis.
485 Saturaciones LSDM No Factor 1 Factor 2 b MAD 11 0.