Effects of Score Study and Conducting Gesture on Collegiate Musicians’ Ability to Detect Errors in a Choral Score
Bibliographic Data
| ID | 10202605 |
|---|---|
| Authors | Mark Montemayor (0000-0001-7848-7929, University of North Texas, Denton, TX, USA, corresponding author), Jessica Nápoles (0000-0003-1512-8587, University of North Texas, Denton, TX, USA), Brian A Silvey (0000-0002-5903-6273, University of Missouri, Columbia, MO, USA), Lia Wiese (University of North Texas, Denton, TX, USA) |
| Year | 2022 |
| Volume | 70 |
| Issue | 4 |
| Pages | 449-462 |
| Publication date | 2022-04-23 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Research in Music Education (JOURNAL) |
| Journal identifiers | ISSN: 0022-4294 • E-ISSN: 1945-0095 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/00224294221090432 |
| OpenAlex | W4293235684 |
| Language | EN |
| Citations received | 3 |
| References cited | 26 |
The purpose of this study was to examine the effects of score study and conducting gesture on collegiate musicians’ ability to detect errors in a choral score. Is there a combined effect of gesture and score study that impacts undergraduate conductors’ identification of errors in a score? Participants ( N = 53) viewed a sequence of four choral score excerpts presented via Zoom video conferencing. We asked participants to identify errors under one of four conditions: score study with a correct model recording, conducting with a simple timekeeping pattern while listening, both score study and conducting, or neither. After listening to each excerpt, participants notified the researcher about the exact location, voice part, and error type of any error that they heard. There were significant differences among conditions, with post hoc tests indicating superior error detection scores for the score study conditions. Conducting during the error detection task resulted in lower error detection scores, especially when not preceded by score study with a correct aural model
Active listening · Audiology · Choir · Gesture · Pedagogy · Speech recognition · Task (project management · Artificial Intelligence · Communication · Computer Science · Diverse Music Education Insights · Medicine · Musicians’ Health and Performance · Neuroscience and Music Perception · Psychology
Non-normal data
Is It Really Robust?
G*Power 3
Performers’ discourses on listening to recordings
Recordings as learning and practising resources for performance
The Effects of Texture and Number of Parts on the Ability of Music Majors to Detect Performance Errors
The Effect of Focus of Attention on Error Detection Ability
Effects of Contextual Sight-Singing and Aural Skills Training on Error-Detection Abilities
Effects of Multiple Listenings on Error-Detection Acuity in Multivoice, Multitimbral Musical Examples
Effects of Score Study Style on Beginning Conductors' Error-Detection Abilities
Effects of Recorded Models on Novice Teachers’ Rehearsal Verbalizations, Evaluations, and Conducting
The Relationship Between Sightsinging Accuracy and Error Detection in Junior High Singers
The Influence of Textural and Timbral Factors on the Ability of Music Majors to Detect Performance Errors
Teaching Melodic Dictation in Advanced Placement Music Theory
Effects of Internal and External Focus of Attention During Novices’ Instructional Preparation on Subsequent Rehearsal Behaviors
A Comparison of Two Approaches to Learning to Detect Harmonic Alterations
Effects of Listening Conditions, Error Types, and Ensemble Textures on Error Detection Skills
The Effects of Conducting Experience and Programmed Materials on Error-Detection Scores of College Conducting Students
Programmed Instruction using Band Literature to Teach Pitch and Rhythm Error Detection to Music Education Students
Computer-Assisted Instruction in Pitch and Rhythm Error Detection
| Unique citing works | 3 |
|---|---|
| Citations per year | 1 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |