The Influence of Tonal and Atonal Contexts on Error Detection Accuracy
Bibliographic Data
| ID | 10199299 |
|---|---|
| Authors | Timothy J Groulx (0000-0002-1151-095X, University of Evansville, Evansville, IN, USA, corresponding author) |
| Year | 2013 |
| Volume | 61 |
| Issue | 2 |
| Pages | 233-243 |
| Publication date | 2013-05-21 |
| 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 | 10.1177/0022429413485602 |
| OpenAlex | W2113434084 |
| Language | EN |
| Citations received | 2 |
| References cited | 18 |
Music education students ( N = 21) at a university in the southeastern United States took an error detection test that had been designed for this study to determine the effects of tonal contexts versus atonal contexts on the ability to detect performance errors. The investigator composed 16 melodies, 8 of which were tonal and 8 of which were atonal. The test administered included 18 planned errors, 9 in tonal melodies and 9 in atonal melodies, and errors were balanced between the two sets of melodies for error duration and error interval. These melodies were performed live for the participants, who were asked to identify where errors took place in the performance. Participant test scores were calculated, and mean scores were generated for each individual error. Each error was then classified according to its attributes of tonal context, interval deviation, and duration. Interval deviation and duration did not significantly affect error detection scores, while tonal context did. More specifically, errors in tonal contexts that deviated from the tonal framework were significantly more easily detected than atonal errors or errors in tonal contexts that remained within the tonal framework. These results confirmed findings in existing research
Acoustics · Affect (linguistics · Audiology · Context (archaeology · Duration (music · Interval (graph theory · Melody · Speech recognition · Statistics · Test (biology · Communication · Computer Science · Diverse Music Education Insights · History · Mathematics · Music Technology and Sound Studies · Neuroscience and Music Perception · Psychology
The Effects of Texture and Number of Parts on the Ability of Music Majors to Detect Performance Errors
The Use of Videotape Recordings to Increase Teacher Trainees' Error Detection Skills
Effects of Multiple Listenings on Error-Detection Acuity in Multivoice, Multitimbral Musical Examples
Relationships Between Pitch Memory in Short Melodies and Selected Factors
Relationships Between Melodic Error Detection, Melodic Dictation, and Melodic Sightsinging
Effects of Score Study Style on Beginning Conductors' Error-Detection Abilities
Music Abilities and Experiences as Predictors of Error-Detection Skill
The Influence of Textural and Timbral Factors on the Ability of Music Majors to Detect Performance Errors
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
| Unique citing works | 2 |
|---|---|
| Citations per year | 0,4 |
| Citation span | 2021 - 2024 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |