📊 Exploring the Relationship Between Psychological Traits, Demographics, and Media Exposure

A behavioral data analytics project performing statistical hypothesis testing and exploratory data analysis (EDA) on a neuroscience study dataset of sectarian Iraqis in Amman, Jordan.

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📌 Overview

This project analyzes psychological traits, demographic factors, and media exposure (news clips) to evaluate key hypotheses regarding human behavioral and cognitive responses.

Key statistical techniques used:

• Two-Sample T-Tests (scipy.stats.ttest_ind)
• Pearson Linear Correlation (scipy.stats.pearsonr)
• Two-Way Analysis of Variance (ANOVA) (statsmodels.formula.api.ols, sm.stats.anova_lm)
• Data Visualization (seaborn, matplotlib)

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🔬 Statistical Hypotheses & Key Findings

Problem / Hypothesis	Method	Result / $p$-value	Conclusion
1. Issue Opinion vs. Compromise	Independent $t$-test	$p = 0.8671$	No significant difference; opinion stance ("Pro" vs "Anti") does not affect willingness to compromise.
2. Extraversion vs. Positive Interaction	Pearson Correlation	$r < 0, p < 0.05$	Statistically significant negative correlation; higher extraversion scores correlate with lower positive interaction scores.
3. Priming vs. Feel Pro PMF	Independent $t$-test	$p = 0.8197$	Priming level does not significantly alter positive feelings towards PMF.
4. Seat Position vs. Agreement Level	Pearson Correlation	$r = 0.019, p = 0.935$	No linear correlation; seating position relative to center has zero effect on agreement score.
5. News Clips vs. Listener Neutrality	Two-Way ANOVA	$p < 0.001$	Highly significant main effect; news clip content type strongly drives listener neutrality levels.

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🛠️ Technology Stack

• Language: Python 3
• Data Manipulation: pandas, numpy, openpyxl
• Statistical Modeling: scipy.stats, statsmodels
• Visualization: seaborn, matplotlib

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📁 Repository Structure

├── Exploring-the-Relationship-Between-Psychological-Traits-Demographics-and-Media-Exposure.ipynb
├── Support_Data.xlsx
├── README.md
└── .gitignore

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🚀 Getting Started

Prerequisites

Install required Python packages:

pip install pandas openpyxl scipy statsmodels seaborn matplotlib

Running the Notebook

jupyter notebook Exploring-the-Relationship-Between-Psychological-Traits-Demographics-and-Media-Exposure.ipynb

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📜 License

This project is open-source under the MIT License.