Music engagement is complex and is influenced by music training, capacity, preferences, and motivations. A multi-modular self-report instrument (the Music Use and Background Questionnaire, or MUSEBAQ) was developed to measure a diverse set of music engagement constructs. Based on earlier work, a hybrid approach of exploratory and confirmatory analyses was conducted across a series of three independent studies to establish reliability and validity of the modular tool. Module 1 (Musicianship) provides a brief assessment of formal and informal music knowledge and practice. Module 2 (Musical capacity) measures emotional sensitivity to music, listening sophistication, music memory and imagery, and personal commitment to music. Module 3 (Music preferences) captures preferences from six broad genres and utilizes adaptive reasoning to selectively expand subgenres when administered online. Module 4 (Motivations for music use) assesses musical transcendence, emotion regulation, social, and musical identity and expression. The MUSEBAQ offers researchers and practitioners a comprehensive, modular instrument that can be used in whole, or by module as required to capture an individual’s level of engagement with music and to serve as a background questionnaire to measure and interpret the effects of dispositional differences in emotional reactions to music.

Personal music listening on mobile phones is rapidly growing as a popular means of everyday engagement with music. This portable and flexible style of listening allows for the immediate selection of music to fulfil emotional needs, presenting it as a powerful resource for emotion regulation. The experience sampling method (ESM) is ideal for observing music listening behavior, as it assesses current subjective experience during natural everyday music episodes. The current study aimed to develop a comprehensive model of personal music listening, and to determine the interaction of variables that produce various emotional outcomes. Data were collected from 195 participants using the MuPsych app: a mobile ESM designed for the real-time and ecologically valid measurement of personal music listening. Multilevel structural equation modelling was utilized to determine predictors of emotional outcomes on both experience and listener levels. Results revealed that music generally returns affect to a neutral state, but this is counteracted through the selection of mood-congruent music. Emotional reasons for listening, along with critical ranges of initial mood, were found to put listeners at risk of potentially undesirable outcomes. Finally, it was revealed that emotional outcomes are determined almost entirely within situations, which emphasizes the importance of accounting for contextual variables in all music and emotion research. This model has provided valuable insight into personal music listening, and the variables that are influential in producing desired emotional outcomes.

The measurement of everyday music use remains a challenge for researchers, with many of the available methodologies limited by intrusiveness or lack of ecological validity. The Experience Sampling Method (ESM) addresses such limitations by assessing current subjective experience at various times throughout participants’ everyday functioning. The aim of the current project was to develop and trial a mobile ESM (m-ESM) capable of collecting event-related data during natural listening episodes. This methodology was designed to maintain a natural and familiar listening experience for participants, and to collect real-time data on personal music listening. An application (app) was created which utilized mobile-device technology, and allowed combination of experience sampling with a personal music player. Analyses were performed on trial data from 101 participants to determine the efficacy of the m-ESM. Results indicated that this methodology would maintain ecological validity and cause minimal intrusion into everyday activities of the listener. Questionnaires were answered immediately at the time of listening, minimizing the problem of retrospective recall biases. This innovative methodology allows for the collection of a wealth of listening data that will advance the accurate measurement of everyday, personal music listening.

active engagement with music has been associated with cognitive, emotional, and social benefits, although measures of musicianship are typically limited to music training. A self-report questionnaire was developed to assess both quality and quantity of different forms of music use, with eight music background items, and a further 124 items testing music engagement. Analysis of engagement items with an initial sample ( N = 210; mean age = 37.55 years, SD = 11.31) generated four reliable engagement styles (Cognitive and Emotional Regulation, Engaged Production, Social Connection, Dance and Physical Exercise). Analysis of an independent sample with a refined 50-item scale ( N = 124; mean age = 22.78 years, SD = 6.17) supported the findings, further differentiating between “Physical Exercise” and “Dance.” Taken together with the eight music background items, the Music USE (MUSE) questionnaire can be used as a 58-item, or in a reduced 32-item format. Validity was demonstrated in relationships between music background indices, styles of music engagement, demographics, the brief Music Experience Questionnaire (Werner, Swope, & Heide, 2006), and the Emotion Regulation Questionnaire (Gross & John, 2003). The MUSE offers researchers a sensitive approach to exploring benefits of music engagement, by encapsulating both quality and quantity dimensions of music use.

MUSICIANS HAVE BEEN REPORTED TO DEMONSTRATE significantly better verbal memory abilities than do nonmusicians. In this study, we examined whether forms of music engagement other than formal music training might also predict verbal memory performance. Gender, socioeconomic status, and music performance variables were controlled in the main study; IQ was also assessed for a subset of participants. While performance musicianship remained a stronger predictor of verbal learning and memory, convincing evidence is presented that nonperformance music engagement (listening activity) also predicted verbal memory measures. The role of music engagement was independent of control factors both in the main study results and in the subset. The findings highlight the need for a more extensive conceptualization of musicianship in research that examines the impact of music on cognitive performance.