Effects of Visual and Auditory Feedback in Violin and Singing Voice Pitch Matching Tasks

INFORMATION: This folder contains all the data from a study in process of publication in Frontiers in Psychology called 'Effects of Visual and Auditory Feedback in Violin and Singing Voice Pitch Matching Tasks' by Angel David Blanco, Simone Tassani and Rafael Ramirez. FILES and FOLDERS: files: participants_raw_data_intonation.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) Statistics.sav % SPSS file with the statistical data from all the analysis presented in Blanco et al. (2021, in process) Correct_notes_output_stats.spv % SPSS Output file with the statistical results for the correct notes variable and the simple main effect analysis for each group and condition. Error_in_cents_output_stats.sav % SPSS file with the statistical results for the error in cents variable and the simple main effect analysis for each group and condition Output_duration.spv % SPSS Output file with the statistical results for the duration and number of request variables. Readme.txt % Text file. Contains all the information needed to interpret the results and the data. Folder Spss_stats. Inside this folder, we have different scripts which spss_script.m uses such as create_spss_vectors_Age.m or create_spss_vectors_correct_notes.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 variable for each group.

### 研究概况
本文件夹包含一项已投稿至《心理学前沿（Frontiers in Psychology）》的研究的全部数据，该研究题目为《小提琴与歌唱音高匹配任务中的视觉与听觉反馈影响》，作者为Angel David Blanco、Simone Tassani与Rafael Ramirez，目前处于待发表阶段。

### 文件与文件夹说明
1. participants_raw_data_intonation.mat：该文件存储所有被试的原始数据（不含.wav格式音频文件）。
2. spss_script.m：该脚本可基于`participants_raw_Sound_Motion.mat`生成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：被试类定义文件（详见下文说明）。
4. participant_results：单被试结果类定义（详见下文说明）。
5. Statistics.sav：SPSS数据文件，收录Blanco等人（2021，待发表）研究中所有分析对应的统计数据。
6. Correct_notes_output_stats.spv：SPSS输出文件，包含正确音符变量的统计结果，以及针对各分组与实验条件的简单主效应分析结果。
7. Error_in_cents_output_stats.sav：SPSS数据文件，包含音分误差变量的统计结果，以及针对各分组与实验条件的简单主效应分析结果。
8. Output_duration.spv：SPSS输出文件，包含时长与请求次数变量的统计结果。
9. Readme.txt：文本文件，包含解读本数据集与实验结果所需的全部说明信息。

#### 子文件夹Spss_stats
该文件夹包含`spss_script.m`调用的各类辅助脚本，例如`create_spss_vectors_Age.m`与`create_spss_vectors_correct_notes.m`，这些脚本可生成SPSS分析所需的数组。所有数组中的被试始终保持固定排序，可通过各组的ID变量识别对应被试。