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

<br> <strong>INFORMATION:</strong> This folder contains all the data from a study in process of publication in Frontiers in Psychology called<br> 'Real-Time Sound and Motion Feedback for Violin Bow Technique Learning: A Controlled, Randomized Trial.' <br> by Angel David Blanco, Simone Tassani, and Rafael Ramirez. <br> <strong>FILES and FOLDERS:</strong> files: participants_raw_Sound_Motion.mat<br> % This file contains the raw data from all the participants except the .wav files. <br> spss_script.m<br> % 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<br> % Class of participants (explained below) participant_results<br> % Class with the results for each participant (explained below) avg_bowSkew.m<br> avg_dynStab.m<br> avg_pitchStab.m<br> % each one of these files is used by spss_script.m to average the descriptors for each condition and participant Kinematic_Analysis.sav<br> % SPSS file with the results from the descriptor bow Skewness for each group and condition Kinematic_Analysis_Output.spv<br> % 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<br> % SPSS file with the results from the descriptors dynamic instability and pitch instability for each group and condition SoundQuality_Analysis_Output.spv<br> % SPSS Output file with the statistical results from the multivariate 3x5 mixed-design ANOVA for the dynamic instability and pitch instability variables<br> and their simple main effect analysis. <br> 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. <br><strong>信息说明：</strong>本文件夹包含一项已投稿至《心理学前沿》（Frontiers in Psychology）的研究的全部原始数据，该研究论文题为《用于小提琴弓法学习的实时声音与运动反馈：一项对照随机试验》，作者为Angel David Blanco、Simone Tassani与Rafael Ramirez。 <strong>文件与文件夹说明：</strong> - `participants_raw_Sound_Motion.mat`：该文件存储了所有被试的原始数据（不含.wav格式音频文件）。 - `spss_script.m`：该MATLAB脚本用于从`participants_raw_Sound_Motion.mat`中提取并生成按组别与实验条件划分的平均分析数组，供本实验的SPSS统计分析使用。 - `participant.m`：被试对象类定义文件（详见下文说明）。 - `participant_results`：单被试结果类定义文件（详见下文说明）。 - `avg_bowSkew.m`、`avg_dynStab.m`、`avg_pitchStab.m`：上述三个脚本均被`spss_script.m`调用，用于对每位被试在各实验条件下的特征指标进行平均计算。 - `Kinematic_Analysis.sav`：包含各组别与实验条件下的琴弓偏度（bow Skewness）特征指标统计结果的SPSS数据文件。 - `Kinematic_Analysis_Output.spv`：针对琴弓偏度指标进行单变量3×5混合设计方差分析以及简单主效应分析后得到的SPSS输出结果文件。 - `SoundQuality_Analysis.sav`：包含各组别与实验条件下的动态不稳定性（dynamic instability）与音高不稳定性（pitch instability）特征指标统计结果的SPSS数据文件。 - `SoundQuality_Analysis_Output.spv`：针对动态不稳定性与音高不稳定性指标进行多变量3×5混合设计方差分析以及简单主效应分析后得到的SPSS输出结果文件。 - `Spss_stats`文件夹：该文件夹内包含`create_spss_vectors_Age.m`、`create_spss_vectors_bowSkew.m`等各类脚本，用于生成SPSS分析所需的数组。所有数组中的被试均按统一顺序排列，可通过被试ID进行识别。