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Fakultät Statistik

Technische Universität Dortmund
44221 Dortmund

Telefon: 0231 - 755 3109
(Dekanat)

Telefon: 0231 - 755 3079
(Sekretariat)

 

Aktuelles

Einladung zum Workshop Missing Data

In Kooperation mit Prof. Fani Lauermann vom Institut für Schulentwicklungsforschung lädt Prof. Philipp Doebler am 17. Dezember 2019 zum Workshop Missing Data: An Introduction to the Analysis of Incomplete Data Sets von Prof. Tenko Raykov (Michigan State University) ein.

Weitere Informationen zum Workshop und zur Anmeldung finden Sie hier.

 

Termine

Vortragsankündigung

Title: Strong Convergence of Reliability Estimators for Multiple-Component Measuring Instruments in the Behavioral, Educational and Social Sciences

Speaker: Prof. Tenko Raykov (Michigan State University)

When: Tuesday, December 17, 2019, 16:30

Where: M / E21

This talk shows that in general the popular coefficient alpha estimator for reliability of multicomponent measuring instruments converges almost surely to a quantity that is not equal to the population reliability coefficient. This convergence with probability 1 is a stronger statement than convergence in probability and convergence in distribution for the alpha estimator, which have been studied in the past. In the special case of congeneric measures with uncorrelated errors and equal loadings on the common true score, the alpha estimator converges almost surely to the population reliability coefficient that equals population alpha, which implies its consistency as a reliability estimator. When the loadings are unequal but sufficiently high and similar, the alpha estimator converges also almost surely to population alpha that is essentially indistinguishable from the reliability coefficient, which implies alpha’s approximate consistency then. For the general case, the results entail that the alpha estimator is not a consistent estimator of reliability. The findings add (i) to the critical literature on coefficient alpha in the general case, as well as (ii) to the justification of its use as a dependable measuring instrument reliability estimator in special cases and settings resulting under appropriate restrictive conditions. The discussion is illustrated using a numerical example.

 

Absolventenfeier 2020

Einmal pro Jahr werden die Absolventinnen und Absolventen der Fakultät des zurückliegenden Jahres feierlich verabschiedet. Die Überreichung der Urkunden wird im Rahmen einer Fest- und Vortragsveranstaltung stattfinden, zu der auch alle aktuellen und ehemaligen Mitglieder der Fakultät Statistik herzlich eingeladen sind.

In diesem Jahr findet die Veranstaltung am 24.4.2020 statt. Uhrzeit und Ort werden noch bekanntgegeben.