Personal Music Listening

2017 ◽  
Vol 34 (5) ◽  
pp. 501-514 ◽  
Author(s):  
William M. Randall ◽  
Nikki S. Rickard
Keyword(s):  
Structural Equation ◽  
Subjective Experience ◽  
Valuable Insight ◽  
Music Listening ◽  
Emotional Needs ◽  
Emotional Outcomes ◽  
Listening Behavior ◽  
Multilevel Structural Equation ◽  
Music And Emotion ◽  
Selection Of

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 Effect of E-Service Quality on Football Fan Satisfaction and Fan Loyalty toward the Websites of Their Favorable Football Teams

2016 ◽  
Vol 12 (1) ◽  
pp. 43-57 ◽  
Author(s):  
Javad Khazaei Pool ◽  
Ali Dehghan ◽  
Hadi Balouei Jamkhaneh ◽  
Akbar Jaberi ◽  
Maryam Sharifkhani
Keyword(s):  
Service Quality ◽  
Structural Equation ◽  
Marketing Research ◽  
Strong Support ◽  
Equation Modeling ◽  
Valuable Insight ◽  
Electronic Service ◽  
Sports Club ◽  
Insight Into ◽  
Selection Of

The purpose of the current study was to examine the effect of electronic service quality on fan satisfaction and fan loyalty in the online environment. Selection of three hundred and fifty-six fans of a famous sports club was through random sampling using the club's website. AMOS used structural equation modeling for data analysis. Results provided strong support on the effect of electronic service quality (E-S-QUAL) on fan satisfaction and fan loyalty toward the website of their favorable football teams. Business enterprises have well researched e-service quality and loyalty. However, limited research exists in the sports context. This paper provides valuable insight into the measurement of e-service quality and fan loyalty in the sport and offers a foundation for future marketing research.

scholarly journals “I hate this part right here”: Embodied, subjective experiences of listening to aversive music

2021 ◽  
pp. 030573562098859
Author(s):  
Henna-Riikka Peltola ◽  
Jonna Katariin Vuoskoski
Keyword(s):  
Subjective Experience ◽  
Negative Attitude ◽  
Music Listening ◽  
Affective States ◽  
Subjective Experiences ◽  
Musical Identity ◽  
Embodied Experiences ◽  
Moral Attitudes ◽  
Physical Responses ◽  
Music And Emotion

Although the majority of previous research on music-induced responses has focused on pleasurable experiences and preferences, it is undeniable that music is capable of eliciting strong dislike and aversion as well. To date, only limited research has been carried out to understand the subjective experience of listening to aversive music. This qualitative study explored people’s negative experiences associated with music listening, with the aim to understand what kinds of emotions, affective states, and physical responses are associated with listening to aversive music. One hundred and two participants provided free descriptions of (1) musical features of aversive music; (2) subjective physical sensations, thoughts and mental imagery evoked by aversive music; (3) typical contexts where aversive music is heard; and (4) the similarities and/or differences between music-related aversive experiences and experiences of dislike in other contexts. We found that responses to aversive music are characterized by embodied experiences, perceived loss of agency, and violation of musical identity, as well as social or moral attitudes and values. Furthermore, two “experiencer types” were identified: One reflecting a strong negative attitude toward unpleasant music, and the other reflecting a more neutral attitude. Finally, we discuss the theoretical implications of our findings in the broader context of music and emotion research.

Meta-Accuracy and Perceived Reciprocity From the Perception-Meta-Perception Social Relations Model

2019 ◽  
Vol 50 (1) ◽  
pp. 24-37
Author(s):  
Ben Porter ◽  
Camilla S. Øverup ◽  
Julie A. Brunson ◽  
Paras D. Mehta
Keyword(s):  
Structural Equation Modeling ◽  
Social Relations ◽  
Latent Variables ◽  
Structural Equation ◽  
Multilevel Structural Equation Modeling ◽  
Equation Modeling ◽  
Complete Understanding ◽  
Social Relations Model ◽  
Flexible Framework ◽  
Multilevel Structural Equation

Abstract. Meta-accuracy and perceptions of reciprocity can be measured by covariances between latent variables in two social relations models examining perception and meta-perception. We propose a single unified model called the Perception-Meta-Perception Social Relations Model (PM-SRM). This model simultaneously estimates all possible parameters to provide a more complete understanding of the relationships between perception and meta-perception. We describe the components of the PM-SRM and present two pedagogical examples with code, openly available on https://osf.io/4ag5m . Using a new package in R (xxM), we estimated the model using multilevel structural equation modeling which provides an approachable and flexible framework for evaluating the PM-SRM. Further, we discuss possible expansions to the PM-SRM which can explore novel and exciting hypotheses.

Impulsivity, Affect, and Stress in Daily Life: Examining a Cascade Model of Urgency

2019 ◽  
Author(s):  
Brinkley M. Sharpe ◽  
Leonard Simms ◽  
Aidan G.C. Wright
Keyword(s):  
Negative Affect ◽  
Structural Equation ◽  
Psychiatric Patients ◽  
Cascade Model ◽  
Multilevel Structural Equation Modeling ◽  
Equation Modeling ◽  
Daily Stress ◽  
Daily Diary Study ◽  
Daily Affect ◽  
Multilevel Structural Equation

Using multilevel structural equation modeling, we examined within- and between-person predictors of daily impulsivity, with a particular focus on testing a cascade model of affect and daily stress in a 100-day daily diary study of 101 psychiatric patients with personality disorder diagnoses. On average (i.e., fixed effect), within-person increases in daily stress were associated with increased daily impulsivity, both independently and as accounted for by positive associations with increased negative and positive affect. Higher Personality Inventory for DSM-5 (PID-5) Impulsivity scores were associated with amplified within-person links between impulsivity and daily stress and negative affect, but not the links between daily stress and either positive or negative affect. The results of this cascade model are consistent with the hypothesized link between daily affect and stress and daily impulsivity while providing further evidence for the validity of the PID-5 Impulsivity scale and its ability to predict daily impulsivity above and beyond fluctuations in affect and stress.

scholarly journals A Case Study on Soundscape Analysis for the Historical and Ethnic Village of Dong Nationality in Zhaoxing County

Acoustics ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 221-234
Author(s):  
Zhiyong Deng ◽  
Kexin Dong ◽  
Danfeng Bai ◽  
Kaicheng Tong ◽  
Aili Liu
Keyword(s):  
Sound Pressure ◽  
Subjective Experience ◽  
Guizhou Province ◽  
Music Listening ◽  
Ethnic Music ◽  
Curve Fit ◽  
Sound Event ◽  
Sound Environment ◽  
Independent Variable

A soundscape is a sound environment of the awareness of auditory perception and social or cultural understandings. Based on a soundscape investigation in 2019 in the historical and ethnic village of Dong Nationality in Zhaoxing County, Guizhou Province of China, a case study on the soundscape analysis with the acoustical sound pressure level and an impressive sound event or soundmark is introduced in this paper. Furthermore, in order to determine the subjective soundscape experience and its influence by the length of background music listening, the independent variable “Length of Listening” and six adjective pairs, such as “Monotonous” to “Rich”, “Clamorous” to “Quiet”, “Stressing” to “Relaxing”, “Boring” to “Vivid”, “Noisy” to “Musical” and “Disliked” to “Preferable” are chosen to obtain a curve-fit, which shows that the length of the music listening background has a higher correlation to the subjective experience, and no sufficient attention has been paid to the context of the traditional soundscape preservation, ethnic music and quiet and soft ambient sounds.

scholarly journals Extending the Group Actor-Partner Interdependence Model: MSEM Applications

2021 ◽  
pp. 104649642110124
Author(s):  
Joseph A. Bonito
Keyword(s):  
Structural Equation ◽  
Group Composition ◽  
Equation Model ◽  
Input Process ◽  
Model Framework ◽  
Actor Partner Interdependence Model ◽  
Size Number ◽  
Research Questions ◽  
Multilevel Structural Equation ◽  
Multilevel Structural Equation Model

The Group Actor-Partner Interdependence Model (GAPIM) conceptualizes group composition as a relational construct and provides methods for estimating the effects of compositional characteristics on outcomes of interest. This paper extends the GAPIM to a multilevel structural equation model framework, which expands the range of research questions the GAPIM might address, including those based on input-process-outcome models. Simulations, based on group size, number of groups, effect size, and compositional skewness, provide guidance for designing studies to maximize power to detect compositional effects. Discussion addresses composition in general, especially how “deep” characteristics become manifest and meaningful during interaction.

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