capl

capl processes CAPL-2 raw data within R to compute individual test variables, the four domain scores, and an overall physical literacy score aligned to the Canadian Assessment of Physical Literacy for children.

Key Features:

• Efficient Data Processing: Automates computation of scores from CAPL-2 raw data via the get_capl() function and processes 40 variables.
• Error Minimization: Implements validation checks that reduce computation errors and limit extraneous error output.
• Comprehensive Variable Computation: Includes helper functions that compute individual variables and scores for each test element within the four domains and the overall physical literacy score.
• Data Visualization: Integrates with the ggplot2 R package to visualize CAPL-2 results.

Scientific Applications:

• Pediatric Health: Quantifies physical literacy metrics in children for research on child development and health outcomes using CAPL-2-derived scores.
• Sports Science: Evaluates movement competency and physical competence components derived from CAPL-2 assessments.
• Education: Supports assessment and monitoring of physical literacy within educational settings using standardized CAPL-2 measures.

Methodology:

Prepare, format, and import CAPL-2 raw data into R; execute get_capl() to compute scores and interpretations; use helper functions to compute individual variables and domain and overall scores; apply validation checks for error handling; use ggplot2 for result visualization.