Online Workshop on Quantitative Research methods
Christ University
🏆 About the Workshop
The Online Workshop on Quantitative Research Methods: Data Analysis Using SPSS and AMOS is an intensive, hands-on masterclass designed to transition researchers from theoretical methodology to high-impact empirical execution. Spanning 10 targeted hours, this cohort-based program equips academics, corporate analysts, and postgraduate students with the exact statistical toolkits required to clean data, run complex hypothesis testing, and model advanced structural equations for publication in top-tier (Q1) journals.
📅 Critical Dates & System Timeline
- 🚀 Program Launch: June 27, 2026
- ⏰ Frequency & Timing: Every Saturday from 06:00 PM – 08:00 PM IST
- ⏱️ Total Course Duration: 10 Hours Structured Instructional Learning
- 💰 Pricing Tier: PAID WORKSHOP
- 🔒 Capacity Gating: Strictly Limited to 20 Seats
🎙️ Resource Faculty Profile
Dr. Stanny Dias * Current Post: Assistant Professor at CHRIST (Deemed to be University).
- Academic Pedigree: MBA, PhD.
- Core Expertise Matrix: Quantitative research designs, consumer behavior tracking, technology adoption models, and meta-analyses.
- Publication Track Record: Contributor to prestigious Q1-ranked academic journals focusing on fintech infrastructures, Electric Vehicle (EV) adoption curves, and Generative AI (GenAI) integration frameworks.
🛠️ Core Curriculum & Technical Tracks
The learning path bridges the gap between raw data sets and structured structural reporting:
- 📈 Baseline Analytics & Data Hygiene: Mastering data cleaning protocols, building descriptive statistics, identifying outliers, and establishing baseline reliability and validity testing within SPSS.
- 🔬 Advanced Hypothesis Architecture: Developing testable, mathematically sound structural hypotheses and mapping directional variables from empirical theory into practical setups.
- 🧬 Structural Equation Modelling (SEM): Moving beyond basic linear regressions to construct, test, and analyze complex covariance networks using AMOS.
- 🔄 Intermediary Variable Mapping: Executing step-by-step Mediation and Moderation analyses through hands-on exercises to isolate indirect and interaction effects within your data models.
- ✍️ Academic Report Compilation: Translating software outputs into standardized, publication-ready statistical interpretations that meet international journal review board criteria.
📥 Support & Registration Channels
Due to the strict 20-seat computing infrastructure limit, prospective participants must interface directly with the university administration desk to secure an invoice token:
- 📧 Primary Email Portal: tvm@christuniversity.in
- 📞 Communications Desk Line: +91 97785 54600