This is where the magic happens. Using tools like SPSS or SAS, researchers apply multivariate techniques to find patterns that the naked eye would miss. 6. Report Preparation and Presentation

Chapter 9 Marketing Research Malhotra. byAADITYA TANTIA. 13 slides9.2K views. PPT. Malhotra05. byUzair Javed Siddiqui. 33 slides1. Slideshare Malhotra, Marketing Research: Applied Insight, 6th Edition

| Section | Core Topics Covered | Highlighted Tools/Models | |---------|---------------------|--------------------------| | | Definitions, scope, research vs. analytics, ethical considerations | Research Process Flowchart | | 2️⃣ Problem Definition & Research Design | Formulating research problems, hypothesis development, exploratory vs. conclusive research | Decision Tree for Design Choice | | 3️⃣ Data Collection Methods | Primary vs. secondary data, qualitative (focus groups, depth interviews), quantitative (surveys, experiments) | Sample Questionnaire Templates | | 4️⃣ Sampling Techniques | Probability (simple random, stratified, cluster) & non‑probability (convenience, quota) | Sample Size Calculator (Excel macro) | | 5️⃣ Measurement & Scaling | Types of scales (nominal, ordinal, interval, ratio), Likert, semantic differential, reliability testing | Cronbach’s α illustration | | 6️⃣ Data Analysis & Interpretation | Descriptive statistics, inferential tests (t‑test, ANOVA, chi‑square), regression & factor analysis | Step‑by‑step SPSS screenshots | | 7️⃣ Reporting & Presentation | Structuring research reports, visual storytelling, actionable insights | Sample Executive Summary slide | | 8️⃣ Emerging Trends | Big Data, AI‑driven sentiment analysis, mobile research, ethics in digital data | Mini‑case studies (e.g., Netflix recommendation engine) |