Research Survey Management System
├── 1. Database Architecture (MySQL)
│   ├── Users & Authentication
│   │   ├── users (Role-based accounts: admin, researcher, analyst, viewer)
│   │   ├── user_sessions (Authentication & session tracking)
│   │   └── research_projects (Project organization)
│   ├── Survey Management
│   │   ├── surveys (Configuration & metadata)
│   │   ├── survey_questions (Question definitions & ordering)
│   │   ├── question_options (Choices for MCQs, dropdowns, etc.)
│   │   └── survey_participants (Participant tracking)
│   └── Data Collection & Analytics
│       ├── survey_responses (Individual response sessions)
│       ├── question_responses (Actual answer data)
│       ├── survey_analytics (Aggregated survey statistics)
│       └── response_analytics (Question-level analytics)
│
├── 2. Supported Question Types
│   ├── Quantitative-Focused
│   │   ├── Rating & Likert Scales
│   │   ├── Multiple Choice (Single & Multiple selection)
│   │   ├── Dropdown Selections
│   │   ├── Ranking Questions
│   │   ├── Yes/No Questions
│   │   └── Date/Time & Numerical Inputs
│   └── Qualitative-Focused
│       ├── Text Input (Short & Long)
│       ├── Rich Text & File Uploads (Images, PDFs, Audio)
│       └── Matrix Questions (Mixed text/numeric grids)
│
├── 3. Enhanced Research Methodologies & Functions
│   ├── A. Quantitative Research Functions
│   │   ├── Descriptive Statistics
│   │   │   ├── Measures of central tendency (Mean, Median, Mode)
│   │   │   ├── Measures of dispersion (Range, Variance, Standard Deviation)
│   │   │   └── Frequency distributions & Response counts
│   │   ├── Inferential Statistics
│   │   │   ├── Correlation analysis (e.g., Pearson, Spearman)
│   │   │   ├── Regression modeling (Linear, Multiple)
│   │   │   ├── Cross-tabulation & Chi-square analysis
│   │   │   └── T-tests & ANOVA (for comparing group means)
│   │   ├── Advanced Metrics
│   │   │   ├── Net Promoter Score (NPS) calculation
│   │   │   ├── Customer Satisfaction (CSAT) & Customer Effort Score (CES)
│   │   │   └── Data weighting & normalization
│   │   └── Data Visualization Prep
│   │       ├── Histograms & Box plots data aggregation
│   │       └── Trend analysis over time (Time-series tracking)
│   │
│   ├── B. Qualitative Research Functions
│   │   ├── Text Analysis & NLP
│   │   │   ├── Sentiment analysis (Positive, Neutral, Negative scoring)
│   │   │   ├── Keyword extraction & Word frequency counts
│   │   │   ├── Entity recognition (People, Places, Organizations)
│   │   │   └── Topic modeling / Automated categorization
│   │   ├── Coding & Thematic Analysis
│   │   │   ├── Manual thematic coding interface
│   │   │   ├── Automated AI-assisted tagging
│   │   │   ├── Codebook management (Creating, merging, organizing codes)
│   │   │   └── Inter-rater reliability checks (Cohen's Kappa)
│   │   ├── Multimedia Analysis
│   │   │   ├── Audio transcription integration
│   │   │   └── Image/PDF annotation extraction
│   │   └── Data Exploration
│   │       ├── Boolean & Full-text search (Wildcard, Proximity)
│   │       └── Word tree & Contextual concordance views
│   │
│   └── C. Mixed Methods Integration (Triangulation)
│       ├── Quantitizing Qualitative Data
│       │   ├── Converting sentiment scores to numerical scales
│       │   └── Frequency counting of thematic codes for statistical testing
│       ├── Qualitizing Quantitative Data
│       │   └── Auto-generating narrative summaries of statistical clusters
│       └── Joint Displays
│           └── Side-by-side analysis matrices linking themes to demographic data
│
├── 4. Core Features & Capabilities
│   ├── Analytics & Reporting
│   │   ├── Real-time completion rates & response time tracking
│   │   ├── Custom report generation (Mixed qual/quant sections)
│   │   └── Export formats (CSV/Excel for Quant; NVivo/Word for Qual)
│   ├── Data Quality & Security
│   │   ├── Input validation & sanitization (SQLi prevention)
│   │   ├── Anonymous response support (GDPR compliance)
│   │   ├── Participant tracking & management
│   │   ├── Session management with secure tokens
│   │   ├── Role-Based Access Control (RBAC)
│   │   └── Password hashing (bcrypt)
│   └── Performance & Scalability
│       ├── Comprehensive indexing strategy (incl. Full-text indexes)
│       ├── Stored procedures for complex calculations
│       ├── Table partitioning for high-volume data
│       ├── Read replicas for analytics queries
│       └── Caching & slow query monitoring
│
└── 5. System Operations & Maintenance
    ├── Installation Setup
    │   ├── Database creation (research_survey_system)
    │   └── Execution order: schema.sql -> sample_data.sql -> procedures.sql -> indexes.sql
    ├── Automated Tasks (Events)
    │   ├── Expired session cleanup (Hourly)
    │   ├── Analytics data updates (Every 30 minutes)
    │   └── Old completed surveys archiving
    └── Manual Maintenance Procedures
        ├── CleanupExpiredSessions()
        ├── ArchiveCompletedSurveys(days_threshold)
        ├── CalculateSurveyAnalytics(survey_id)
        ├── CalculateQuestionAnalytics(question_id)
        └── GenerateSurveyReport(survey_id)