analysis

Analyzing Output PANAS Scores

Creating Line Charts

Visualizing the changes in PANAS scores from scene 1 to 5 for each situation.

Preprocessing

Reads results stored in a neo4j database, calculates the average sum of positive and negative scores for each scene, and outputs the results in CSV format.

python analysis/panas_csv.py

To process results without norms, execute python analysis/panas_csv.py --norm no_norm.

Generating Graphs

Generates line charts for each situation.

python analysis/make_linechart.py

Creating Tables

Preprocessing

Reads results stored in a neo4j database and calculates the average, maximum, and minimum scores for each scene, then writes the results in JSON format.

python analysis/panas_json.py

To process results without norms, execute python analysis/panas_json.py --norm no_norm.

Additionally, calculate default scores (scores without any given scenarios) and save them in JSON format.

python calc_default.py

Outputting a Summary of Results in Markdown Format

Determines the difference from the default scores for each situation and outputs a summary of the results in markdown format.

python analysis/analysis.py

Whether to use norms and which of the scene averages, maximums, or minimums to use is determined via command line arguments. Details can be checked with python analysis/analysis.py -h.