02296nas a2200205   4500008004100000245009000041210007100131300000900202490000700211520161900218653002001837653001601857653001801873653002201891653001601913653001501929653001801944100001401962856011401976       2005                        eng d00aLa Validez desde una óptica psicométrica [Validity from a psychometric perspective]0 aLa Validez desde una óptica psicométrica Validity from a psychom  a9-200 v133 aEl estudio de la validez constituye el eje central de los análisis psicométricos de los instrumentos de medida. En esta comunicación se traza una breve nota histórica de los distintos modos de concebir la validez  a lo largo de los tiempos, se comentan las líneas actuales, y se tratan de vislumbrar posibles vías futuras, teniendo en cuenta el impacto que las nuevas tecnologías informáticas están ejerciendo sobre los propios instrumentos de medida en Psicología y Educación. Cuestiones como los nuevos formatos multimedia de los ítems, la evaluación a distancia, el uso intercultural de las pruebas, las consecuencias de su uso, o los tests adaptativos informatizados, reclaman nuevas formas de evaluar y conceptualizar la validez. También se analizan críticamente algunos planteamientos recientes sobre el concepto de validez. The study of validity constitutes a central axis of psychometric analyses of measurement instruments. This paper presents a historical sketch of different modes of conceiving validity, with commentary on current views, and it attempts to predict future lines of research by considering the impact of new computerized technologies on measurement instruments in psychology and education. Factors such as the new multimedia format of items, distance assessment, the intercultural use of tests, the consequences of the latter, or the development of computerized adaptive tests demand new ways of conceiving and evaluating validity. Some recent thoughts about the concept of validity are also critically analyzed. (PsycINFO Database Record (c) 2005 APA ) (journal abstract)10aFactor Analysis10aMeasurement10aPsychometrics10aScaling (Testing)10aStatistical10aTechnology10aTest Validity1 aMuñiz, J  uhttp://iacat.org/content/la-validez-desde-una-%C3%B3ptica-psicom%C3%A9trica-validity-psychometric-perspective01443nas a2200241   4500008004100000245008000041210006900121300001200190490000700202520067300209653003000882653002800912653002500940653002300965653001600988653002201004653002101026100001301047700001601060700001001076700001601086856009901102       2002                        eng d00aData sparseness and on-line pretest item calibration-scaling methods in CAT0 aData sparseness and online pretest item calibrationscaling metho  a207-2180 v393 aCompared and evaluated 3 on-line pretest item calibration-scaling methods (the marginal maximum likelihood estimate with 1 expectation maximization [EM] cycle [OEM] method, the marginal maximum likelihood estimate with multiple EM cycles [MEM] method, and M. L. Stocking's Method B) in terms of item parameter recovery when the item responses to the pretest items in the pool are sparse. Simulations of computerized adaptive tests were used to evaluate the results yielded by the three methods. The MEM method produced the smallest average total error in parameter estimation, and the OEM method yielded the largest total error (PsycINFO Database Record (c) 2005 APA )10aComputer Assisted Testing10aEducational Measurement10aItem Response Theory10aMaximum Likelihood10aMethodology10aScaling (Testing)10aStatistical Data1 aBan, J-C1 aHanson, B A1 aYi, Q1 aHarris, D J  uhttp://iacat.org/content/data-sparseness-and-line-pretest-item-calibration-scaling-methods-cat02030nas a2200253   4500008004100000245010900041210006900150300000900219490000600228520114100234653002101375653001501396653003901411653002201450653002501472653001801497653002201515653005501537653001501592653001201607100001701619700002501636856011501661       2002                        eng d00aA structure-based approach to psychological measurement: Matching measurement models to latent structure0 astructurebased approach to psychological measurement Matching me  a4-160 v93 aThe present article sets forth the argument that psychological assessment should be based on a construct's latent structure. The authors differentiate dimensional (continuous) and taxonic (categorical) structures at the latent and manifest levels and describe the advantages of matching the assessment approach to the latent structure of a construct. A proper match will decrease measurement error, increase statistical power, clarify statistical relationships, and facilitate the location of an efficient cutting score when applicable. Thus, individuals will be placed along a continuum or assigned to classes more accurately. The authors briefly review the methods by which latent structure can be determined and outline a structure-based approach to assessment that builds on dimensional scaling models, such as item response theory, while incorporating classification methods as appropriate. Finally, the authors empirically demonstrate the utility of their approach and discuss its compatibility with traditional assessment methods and with computerized adaptive testing. (PsycINFO Database Record (c) 2005 APA ) (journal abstract)10aAdaptive Testing10aAssessment10aClassification (Cognitive Process)10aComputer Assisted10aItem Response Theory10aPsychological10aScaling (Testing)10aStatistical Analysis computerized adaptive testing10aTaxonomies10aTesting1 aRuscio, John1 aRuscio, Ayelet Meron  uhttp://iacat.org/content/structure-based-approach-psychological-measurement-matching-measurement-models-latent