Creating a Live and Flexible Normative Dataset for Netball
Bibliographic Data
| ID | 13131498 |
|---|---|
| Authors | Hayden Croft (0000-0001-6848-3000, Auckland University of Technology, corresponding author), Kirsten Spencer (0000-0002-3188-2179, Auckland University of Technology), Noeline Taurua, Emily Wilton (Otago Polytechnic) |
| Year | 2021 |
| Volume | 3 |
| Pages | 743612-743612 |
| Publication date | 2021-10-22 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Sports and Active Living (JOURNAL) |
| Journal identifiers | ISSN: 2624-9367 • E-ISSN: 2624-9367 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fspor.2021.743612 |
| PMID | 34746778 |
| OpenAlex | W3209943438 |
| Language | EN |
| References cited | 9 |
A previous research has identified large data and information sources which exist about netball performance and align with the discussion of coaches during the games. Normative data provides context to measures across many disciplines, such as fitness testing, physical conditioning, and body composition. These data are normally presented in the tables as representations of the population categorized for benchmarking. Normative data does not exist for benchmarking or contextualization in netball, yet the coaches and players use performance statistics. A systems design methodology was adopted for this study where a process for automating the organization, normalization, and contextualization of netball performance data was developed. To maintain good ecological validity, a case study utilized expert coach feedback on the understandability and usability of the visual representations of netball performance population data. This paper provides coaches with benchmarks for assessing the performances of players, across competition levels against the player positions for performance indicators. It also provides insights to a performance analyst around how to present these benchmarks in an automated “real-time” reporting tool
Benchmarking · Context (archaeology · Contextualization · Geography · Human–computer interaction · Normalization (sociology · Normative · Population · Process (computing · Usability · Applied Psychology · Computer Science · Data Visualization and Analytics · Psychology · Sports Analytics and Performance · Sports Performance and Training · Marketing
| Citation velocity | historical |
|---|---|
| Highly cited | No |