Real-Time Sound and Motion Feedback for Violin Bow Technique Learning: A controlled, Randomized Trial.
Description
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.
Files
Files
(469.0 MB)
Name | Size | Download all |
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md5:352be95f849ebeeb76a3cc5e761208e7
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469.0 MB | Download |