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.

### 研究概况
本文件夹包含一项待发表于《心理学前沿（Frontiers in Psychology）》的研究的全部数据，该研究标题为《Real-Time Sound and Motion Feedback for Violin Bow Technique Learning: A Controlled, Randomized Trial.》，作者为Angel David Blanco、Simone Tassani与Rafael Ramirez。

### 文件与文件夹说明
#### 单文件说明
1. `participants_raw_Sound_Motion.mat`：该文件存储了所有受试者的全部原始实验数据（不含.wav音频文件）。
2. `spss_script.m`：该MATLAB脚本从`participants_raw_Sound_Motion.mat`中提取按组别与实验条件划分的平均分析数组，用于本实验的SPSS统计分析。
3. `participant.m`：受试者类定义脚本（详细说明见下文）。
4. `participant_results`：单受试者结果类定义文件（详细说明见下文）。
5. `avg_bowSkew.m`、`avg_dynStab.m`、`avg_pitchStab.m`：上述三个脚本均被`spss_script.m`调用，用于计算各实验条件与受试者的特征平均值。
6. `Kinematic_Analysis.sav`：SPSS数据文件，存储了各组别与实验条件下琴弓偏度（bow Skewness）的统计结果。
7. `Kinematic_Analysis_Output.spv`：SPSS输出文件，包含针对琴弓偏度变量的单变量3×5混合设计方差分析及其简单主效应分析的全部统计结果。
8. `SoundQuality_Analysis.sav`：SPSS数据文件，存储了各组别与实验条件下动态不稳定性（dynamic instability）与音高不稳定性（pitch instability）的统计结果。
9. `SoundQuality_Analysis_Output.spv`：SPSS输出文件，包含针对动态不稳定性与音高不稳定性变量的多变量3×5混合设计方差分析及其简单主效应分析的全部统计结果。

#### `Spss_stats`文件夹
该文件夹内包含`create_spss_vectors_Age.m`、`create_spss_vectors_bowSkew.m`等多款MATLAB脚本，均可生成SPSS分析所需的数组。所有数组中的受试者均保持统一排序，可通过受试者ID进行唯一识别。