This readme file was generated on 2019/11/3 by Timo Roettger
Contact: timo.b.roettger@gmail.com
-------------------
### **GENERAL INFORMATION**
#### **Title of data set**
Listeners’ adaptation to unreliable intonation is speaker-specific
#### **Author Information**
**Name**: Timo B. Roettger
**Institution**: Northwestern University, Department of Linguistics; University of Cologne, Department of Linguistics - Phonetics
**Email**: timo.b.roettger@gmail.com
**Name**: Kim Rimland
**Institution**: University of Cologne, Department of Linguistics - Phonetic
#### **Date of data collection**:
October 2018
#### **Geographic location of data collection**
Cologne, Germany
-------------------
### **SHARING/ACCESS INFORMATION**
#### **Licenses/restrictions placed on the data**:
CC0-BY 4.0
#### **Links to publications that cite or use the data**:
NA
#### **Recommended citation for the data**:
NA
-------------------
### **DATA & FILE OVERVIEW**
#### **Analysis Component**
**raw_data**:
Contains raw data files generated by Open Sesame in `.csv`. There
**plots**:
Contains publication ready plots generated by `03_plotting.R`
**data**:
Contains data files generated during the preprocessing stage (`processed_data.csv`,`processed_data_reduced.csv`), summaries of posterior extractions (`posteriors_1.csv`, `posteriors_2.csv`, `psamples.csv`), and demographic information about participants in `subject_info.csv`. Relevant for plotting and modelling.
**scripts**
Contains R scripts to process, analyze and plot data:
`01_preprocessing.R` prepares the raw mousetracking data for further processing and stores the data tables in `data`.
`02_Bayesian_analysis.R` runs Bayesian hierarchical models and extracts posteriors. It stores posteriors into `data` and the model into `models`.
`03_plotting.R` generates figures for manuscript and stores them in `plots`.
**models**:
Contains model output generated by `02_Bayesian_analysis.R`
#### **Materials Component**
**acoustic stimuli**
Contains acoustic stimuli used in the experiment. `discourse setting questions` contains the recordings of the questions by a male speaker. `original recordings` contains the naturally produced answers by another male and a female speaker. These were resynthesized in order to create temporally comparable stimuli and stored in `resynthesized stimuli`.
**visual stimuli**
Contains visual referents taken from the BOSS corpus from *Brodeur, M. B., Dionne-Dostie, E., Montreuil, T., & Lepage, M. (2010). The Bank of Standardized Stimuli (BOSS), a new set of 480 normative photos of objects to be used as visual stimuli in cognitive research. PloS One, 5(5), e10773.*
**experimental files**
Contains the OpenSesame files used.`TA_RS.osexp` is the reliable speaker group; `TA_UM.osexp` is the group with the unreliable male speaker; `TA_UF.osexp` is the group with the unreliable female speaker.
-------------------
### **METHODOLOGICAL INFORMATION**
#### **Instrument- or software-specific information needed to interpret the data**:
R version 3.5.0 (2018-04-23)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS 10.15
ther attached packages:
rstan_2.19.2
StanHeaders_2.19.0
mousetrap_3.1.0
readbulk_1.1.0
ggpubr_0.1.7
magrittr_1.5
rstudioapi_0.9.0
gridExtra_2.3
brms_2.3.5
Rcpp_1.0.2
stringr_1.4.0
dplyr_0.8.3
readr_1.3.1
tidyr_1.0.0
tibble_2.1.3
ggplot2_3.2.1
tidyverse_1.2.1
#### **People involved with sample collection, processing, analysis and/or submission**:
Kim Rimland and Nastassja Bremer have acquired partipants and collected the data.
