4 years ago

Psychometric properties and heritability of a new online test for musicality, the Swedish Musical Discrimination Test

We examine, in 6881 twin individuals, the psychometric properties of a new test (the Swedish Musical Discrimination Test, SMDT) that was developed to tap auditory discrimination of musical stimuli. The SMDT consists of three subtests measuring discrimination of melodies, rhythms, and single pitches, respectively. Mean test taking times for the subtests were 3.0–4.6min. Reliability and internal consistency were good with Cronbach’s alpha values and Spearman–Brown split-half reliabilities between .79 and .89. Subtests correlated positively (r values .27–.41). Criterion validity was demonstrated in three ways: individuals that had played a musical instrument scored higher than individuals that had not (Cohen’s d .38–.63); individuals that had taken music lessons scored higher than individuals that had not (Cohen’s d .35–.60); finally, total hours of musical training and SMDT scores correlated (r values .14–.28) among those participants that had played an instrument. Lastly, twin modelling revealed moderate heritability estimates for the three sub-scales. We conclude that the SMDT has good psychometric characteristics, short test taking time, and may serve as a useful complement to existing tests of musical ability.

Publisher URL: www.sciencedirect.com/science

DOI: S0191886914000841

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.