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Description: . Files: --------- RCC_BDM_Data_for_Linear_Regression.csv [liking ratings data] Linear_Regression_RCC.R [Liking ratings analysis code] Instructions: -------------------- 1. Download the data file "RCC_BDM_Data_for_Linear_Regression.csv" and the analysis code "Linear_Regression_RCC.R". 2. Place the files in the same folder. 3. Open the analysis code in R or an R supported environment. 4. Run the code line by line while following the notes inside the code. * The code is designed to install any required R packages. Analysis: -------------- The code performs a linear mixed-effects analysis between groups (Retrieval, No-Retrieval) and stage (baseline [Day1], conditioning [Day 1], counterconditioning [Day 2], reinstatement [Day 3]) with the difference between the average CS+s and CS-s ratings as the dependent variable. As fixed effects, we entered group and stage (with interaction term) into the model. As a random effect, we had intercepts for participants. The liking ratings were collected on a continuous scale, ranging between 0 to 10. Data file description and variables: ----------------------------------------------------- In the "RCC_BDM_Data_for_Linear_Regression.csv" file you will find the extracted relevant raw data of all valid participants. Variables used in the analysis: "Bid" - A continuous variable ranging from 0 to 10 according to participants ratings. This variable was used to construct the dependent variable in the linear regression analysis. "Subject" - Participant's code, is used as a random effect in the linear regression analysis. "Group" - Participant's study group ("Retrieval" or "No-Retrieval"). This is the between-subject independent variable used to predict the dependent variable. "BDM_Num" - This is equivalent to the stage of the experiment, i.e., when the task was conducted. 1 = baseline, 2 = conditioning, 3 = counterconditiong, 4 = reinstatement. This is the within-subject independent variable used to predictive dependent variable. "Stim_Type" - Mark if a stimulus is used as a CS- or a CS+ (10 = CS-, 11 =CS+). Other variables (not used in the analysis): "Stimulus" - The stimulus image file name. "Rank" - The relative ranking of the stimulus (compared to the other 8). "Trial_Number" - The number of trial in which a stimulus was presented (ranges between 1 to 18). There were 18 stimuli, nine of which participated in the different experimental manipulations and are relevant for this analysis. Last edited by Rani Gera on September 28th, 2018