Eine Geschichte über die Geschwister Sigmund Freuds und ihre Entrechtung durch das NS-Regime

Artificial intelligence (AI) increasingly affects individuals’ private and professional lives. Importantly, both the acceptance and adoption of new AI…

Although item-response-theory (IRT) models offer well-established psychometric advantages over traditional scoring methods, they remain underused in practice. F...

The use of psychological targeting—employing machine learning to predict consumer personality from digital footprints and subsequently tailoring persuasive messages—has emerged as a controversial yet...

Streit um geschlechtergerechte Sprache: In Friedrichsdorf sorgt eine Feuerwehr-Satzung, die nur noch weibliche Amtsbezeichnungen kennt, für reichlich Zündstoff zwischen Bürgermeister und CDU-Fraktion.

Educational large-scale studies typically adopt highly standardized settings to collect cognitive data on large samples of respondents. Increasing costs alongside dwindling response rates in these stu...

Schnell mal zum Buchladen um die Ecke - das wird immer schwieriger. Obwohl die Branche mehr Umsatz macht, gibt es immer weniger Geschäfte. Das Statistikamt nennt auch mögliche Gründe für den Rückgang.

Artificial intelligence (AI) has profoundly transformed numerous facets of both private and professional life. Understanding how people evaluate AI is…

Information and communication technology (ICT) literacy encompasses a range of cognitive abilities that facilitate the effective use of digital techno…

Interval scales are frequently assumed in educational and psychological research involving latent variables, but are rarely verified. This paper outlines methods for investigating the interval scale assumption when fitting the Rasch model to item response data. We study a Bayesian method for evaluating an item response dataset’s adherence to the cancellation axioms of additive conjoint measurement under the Rasch model, and compare the extent to which the axiom of double cancellation holds in the data at sample sizes of 250 and 1000 with varying test lengths, difficulty spreads, and levels of adherence to the Rasch model in the data-generating process. Because the statistic produced by the procedure is not directly interpretable as an indicator of whether an interval scale can be established, we develop and evaluate procedures for bootstrapping a null distribution of violation rates against which to compare results. At a sample size of 250, the method under investigation is not well powered to detect the violations of interval scaling that we simulate, but the procedure works quite consistently at N = 1000. That is, at moderate but achievable sample sizes, empirical tests for interval scaling are indeed possible.