Vertical jump data

Simple RCT data using Change in vertical jump height as a target effect. Consists of two groups: Treatment and Control with N=15 in each. Training intervention involves plyometric training, with vertical jump height measured Pre-test and Post-test. Additional covariate involve Squat 1RM

data(vertical_jump_data)

Format

A data frame with 30 rows and 7 variables:

Athlete

String. Athlete name

Squat 1RM

Relative back squat 1RM

Group

Treatment group. Two levels: Treatment and Control

Pre-test

Vertical jump height pre-treatment

Post-test

Vertical jump height post-treatment

Change

Difference between Post-test and Pre-test

Magnitude

Factor with three levels: Lower, Equivalent, and Higher. This represent magnitude of change using SESOI of +/- 2.5cm