Real-Time Sound and Motion Feedback for Violin Bow Technique Learning: A controlled, Randomized Trial.

INFORMATION:

This folder contains all the data from a study in process of publication in Frontiers in Psychology called
'Real-Time Sound and Motion Feedback for Violin Bow Technique Learning: A Controlled, Randomized Trial.' 
by Angel David Blanco, Simone Tassani, and Rafael Ramirez.  

FILES and FOLDERS:

files: 

participants_raw_Sound_Motion.mat
% This file contains the raw data from all the participants except the .wav files. 

spss_script.m
% This script creates from 'participants_raw_Sound_Motion.mat' the arrays with the averaged analysis per Group and Condition which was used for the SPSS Analysis of the experiment.

participant.m
% Class of participants (explained below)

participant_results
% Class with the results for each participant (explained below)

avg_bowSkew.m
avg_dynStab.m
avg_pitchStab.m
% each one of these files is used by spss_script.m to average the descriptors for each condition and participant

Kinematic_Analysis.sav
% SPSS file with the results from the descriptor bow Skewness for each group and condition

Kinematic_Analysis_Output.spv
% SPSS Output file with the statistical results from the univariate 3x5 mixed-design ANOVA for the bow skewness variable and the simple main effect analysis.

SoundQuality_Analysis.sav
% SPSS file with the results from the descriptors dynamic instability and pitch instability for each group and condition

SoundQuality_Analysis_Output.spv
% SPSS Output file with the statistical results from the multivariate 3x5 mixed-design ANOVA for the dynamic instability and pitch instability variables
and their simple main effect analysis.

Folder Spss_stats.

Inside this folder, we have different scripts such as create_spss_vectors_Age.m or create_spss_vectors_bowSkew.m which return the arrays needed for the SPSS analysis. All the participants in those arrays are always in the same order and can be identified through the ID.