In the last decade, educational neuroscience has become increasingly important in the context of instruction, and its applications have been transformed into new teaching methods. Although teachers are interested in educational neuroscience, communication between scientists and teachers is not always straightforward. Thus, misunderstandings of neuroscientific research results can evolve into so-called neuromyths. The aim of the present study was to investigate the prevalence of such music-related neuromyths among music teachers and music students. Based on an extensive literature research, 26 theses were compiled and subsequently evaluated by four experts. Fourteen theses were selected, of which seven were designated as scientifically substantiated and seven as scientifically unsubstantiated (hereafter labeled as “neuromyths”). One group of adult music teachers (n = 91) and one group of music education students (n = 125) evaluated the theses (forced-choice discrimination task) in two separate online surveys. Additionally, in both surveys person-characteristic variables were gathered to determine possible predictors for the discrimination performance. As a result, identification rates of the seven scientifically substantiated theses were similar for teachers (76%) and students (78%). Teachers and students correctly rejected 60 and 59%, respectively, of the seven neuromyths as scientifically unsubstantiated statements. Sensitivity analysis by signal detection theory revealed a discrimination performance of d' = 1.25 (SD = 1.12) for the group of teachers and d' = 1.48 (SD = 1.22) for the students. Both groups showed a general tendency to evaluate the theses as scientifically substantiated (teachers: c = −0.35, students: c = −0.41). Specifically, buzz words such as “brain hemisphere” or “cognitive enhancement” were often classified as correct. For the group of teachers, the best predictor of discrimination performance was having read a large number of media about educational neuroscience and related topics (R2 = 0.06). For the group of students, the best predictors for discrimination performance were a high number of read media and the hitherto completed number of semesters (R2 = 0.14). Our findings make clear that both teachers and students are far from being experts on topics related to educational neuroscience in music and would therefore benefit from current education-related research in psychology and neuroscience.

Music often triggers a pleasurable urge in listeners to move their bodies in response to the rhythm. In music psychology, this experience is commonly referred to as groove. This study presents the Experience of Groove Questionnaire, a newly developed self-report questionnaire that enables respondents to subjectively assess how strongly they feel an urge to move and pleasure while listening to music. The development of the questionnaire was carried out in several stages: candidate questionnaire items were generated on the basis of the groove literature, and their suitability was judged by fifteen groove and rhythm research experts. Two listening experiments were carried out in order to reduce the number of items, to validate the instrument, and to estimate its reliability. The final questionnaire consists of two scales with three items each that reliably measure respondents’ urge to move (Cronbach’s α = .92) and their experience of pleasure (α = .97) while listening to music. The two scales are highly correlated (r = .80), which indicates a strong association between motor and emotional responses to music. The scales of the Experience of Groove Questionnaire can independently be applied in groove research and in a variety of other research contexts in which listeners’ subjective experience of music-induced movement and enjoyment need to be addressed: for example the study of the interaction between music and motivation in sports and research on therapeutic applications of music in people with neurological movement disorders.

In recent empirical research, the experience of groove (i.e., the pleasant sense of wanting to move along with the music) has come into focus. By developing the new Experience of Groove Questionnaire (EGQ), Senn et al. (2020) have provided a standardized and validated research instrument for future studies, consisting of the two correlated factors Urge to Move and Pleasure. The present study reports the translation of the English version into German and a validation with a German sample (N = 455). The original version’s factor structure was confirmed by the German data. Test-retest reliability was found to be high (rtt > .85) for both factors. To determine convergent validity, two other scales were included: The Drum Pattern Quality Scale (Frühauf, Kopiez, & Platz, 2013) and the Aesthetic Emotions Scale (Schindler et al., 2017) showed high correlations (.78 < r < .87) with the two factors of the EGQ and therefore indicated convergent validity. We conclude that the German version shows good psychometric properties and recommend its use for future research on the experience of groove.

Over the last decades, the simulation of musical instruments by digital means has become an important part of modern music production and live performance. Since the first release of the Kemper Profiling Amplifier (KPA) in 2011, guitarists have been able to create and store a nearly unlimited number of “digital fingerprints” of amplifier and cabinet setups for live performances and studio productions. However, whether listeners can discriminate between the sounds of the KPA and the original amplifier remains unclear. Thus, we constructed a listening test based on musical examples from both sound sources. In a first approach, the psychoacoustic analysis using mel-frequency cepstrum coefficients (MFCCs) revealed a high degree of timbre similarity between the two sound sources. In a second step, a listening test with N = 177 showed that the overall discrimination performance was d’ = .34, which was a rather small difference (0.0 ≤ d’ ≤ 0.74). A weak relationship between the degree of general musical sophistication and discrimination performance was found. Overall, we suggest that listeners are rarely able to assign audio examples to the correct condition. We conclude that, at least on a perceptual level, our results give no support for a commonly accepted pessimistic attitude toward digital simulations of hardware sounds.

As predicted by Holbrook and Schindler (1989) in a seminal study, popular music from the charts released when a person is roughly 23.47 years old (so-called Song-Specific Age, SSA) has a particularly positive impact on that person’s song evaluations decades later. In our replication study, N = 162 participants ( M age = 59.1 years, SD = 17.3) indicated their preferences for 18 song excerpts randomly selected from a corpus of 87 German Top 10 chart hits, released between 1930 and 2017. The fitting of a quadratic curve (as in the original study) to the aggregated ratings revealed a much earlier overall SSA peak at 14.16 years ( R 2 = .184). The best approximation to the original SSA peak of 23.47 years was found only for the elderly subgroup of participants aged 50+ years with an SSA value of 22.63 years, however, with a relatively low goodness-of-fit ( R 2 = .225). To summarize, the original finding of an SSA peak in the phase of early adulthood (23.47 years) could not be confirmed in terms of a point estimate. Instead, various subgroups showed various SSA peaks. The decomposition of ratings on the song level by latent profile analysis revealed four basic rating patterns (constantly high, constantly low, increasing, and decreasing over time) that might explain the different findings of the overall course of SSA regression curves within our subgroups without reference to the concept of SSA. Results are discussed in favor of current dynamic models of lifelong changes in musical preferences. We conclude that today, the SSA proposition – at least in its original form – seems to be of only limited validity for the explanation of musical preferences.