Review of Component skills involved in sight reading music.

2007 ◽  
Vol 19 (2) ◽  
pp. 91-94 ◽  
Author(s):  
Andreas C. Lehmann
2019 ◽  
Vol 2 ◽  
pp. 3-26
Author(s):  
Lyubov A. Boyko ◽  
Leonid V Tereshchenko ◽  
Boris B. Velichkovsky ◽  
Alexander V. Latanov

2008 ◽  
Vol 10 (1) ◽  
pp. 41-62 ◽  
Author(s):  
Reinhard Kopiez ◽  
Ji In Lee

2020 ◽  
pp. 030573562094259
Author(s):  
You Jin Kim ◽  
Moo Kyoung Song ◽  
Rebecca Atkins

Sight-reading strategies used for reading music in different tonal environments are critical for musicians to perform accurately. We investigated the strategies advanced sight-readers utilize when they encounter different tonal environments. After a brief study period, six advanced sight-readers performed a through-composed piece that included tonal, non-tonal, and ambiguously tonal music. Immediately following the performance, participants went back through the music and described their thought process and strategies. Participants reported different strategies from one another to play accurately, but there were also common strategies used for different tonal environments. We found verbal reports of critical and relevant strategies of advanced sight-readers were categorized as attention, static analysis, informed intuition, and performer’s analysis. The sight-readers executed their performance interacting with static analysis, informed intuition, and performer’ s analysis. Most importantly, participants relied heavily on performer’s analysis for the expressive performance in the tonal section, followed by the non-tonal and ambiguously tonal sections. Findings imply that advanced sight-readers’ strategies moved back and forth between attention, intuition, and analytical strategies based on the demands in each tonal environment.


1997 ◽  
Vol 4 (2) ◽  
pp. 143-161 ◽  
Author(s):  
Frances E. Truitt ◽  
Charles Clifton ◽  
Alexander Pollatsek ◽  
Keith Rayner

2006 ◽  
Vol 8 (1) ◽  
pp. 97-120 ◽  
Author(s):  
Reinhard Kopiez ◽  
Ji In Lee

Author(s):  
Fiona Sampson

Today, poetry and art music occupy similar cultural positions: each has a tendency to be regarded as problematic, ‘difficult’, and therefore ‘elitist’. Despite this, the audiences and numbers of participants for each are substantial: yet they tend not to overlap. This is odd, because the forms share early history in song and saga, and have some striking similarities, often summed up in the word ‘lyric’? These similarities include much that is most significant to the experience of each, and so of most interest to practitioners and audiences. They encompass, at the very least: the way each art-form is aural, and takes place in time; a shared reliance on temporal, rather than spatial, forms; an engagement with sensory experience and pleasure; availability for both shared public performance and private reading, sight-reading, and hearing in memory; and scope for non-denotative meaning. In other words, looking at these elements in music is a way to look at them in poetry, and vice versa. This is a study of these two formal craft traditions that is concerned with the similarities in their roles, structures, projects, and capacities.


2019 ◽  
Author(s):  
Jeffrey A. Shero ◽  
Sara Ann Hart

Using methods like linear regression or latent variable models, researchers are often interested in maximizing explained variance and identifying the importance of specific variables within their models. These models are useful for understanding general ideas and trends, but often give limited insight into the individuals within said models. Data envelopment analysis (DEA), is a method with roots in organizational management that make such insights possible. Unlike models mentioned above, DEA does not explain variance. Instead, it explains how efficiently an individual utilizes their inputs to produce outputs, and identifies which input is not being utilized optimally. This paper provides readers with a brief history and past usages of DEA from organizational management, public health, and educational administration fields, while also describing the underlying math and processes behind said model. This paper then extends the usage of this method into the psychology field using two separate studies. First, using data from the Project KIDS dataset, DEA is demonstrated using a simple view of reading framework identifying individual efficiency levels in using reading-based skills to achieve reading comprehension, determining which skills are being underutilized, and classifying and comparing new subsets of readers. Three new subsets of readers were identified using this method, with direct implications leading to more targeted interventions. Second, DEA was used to measure individuals’ efficiency in regulating aggressive behavior given specific personality traits or related skills. This study found that despite comparable levels of component skills and personality traits, significant differences were found in efficiency to regulate aggressive behavior on the basis of gender and feelings of provocation.


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