Basic marketing research

by · 2001

Genre: Business

Rating: 3.8/5

A methodical, well-structured guide to marketing research fundamentals that teaches the right way to ask questions and analyze answers—but never quite asks why marketing research so often fails to predict what people actually do.

Malhotra's textbook remains the reliable workhorse of marketing research instruction, though it mistakes comprehensiveness for insight.

Basic Marketing Research is exactly what its title promises: a methodical survey of research techniques designed for business students and practitioners who need to understand how to ask questions and interpret answers. It does this job competently, with clear frameworks and practical applications. But competence isn't the same as originality, and Malhotra's decision-making approach often feels like a veneer over standard statistical pedagogy.

The book's greatest strength is its structure. Malhotra walks you through the research process as a logical sequence: problem definition, research design, data collection, analysis, and reporting. Each chapter builds methodically on the last. For someone tasked with designing their first survey or focus group, this scaffolding is genuinely useful. The real-world applications scattered throughout—case studies of how companies actually use research—ground abstract concepts in recognizable business scenarios. This is textbook writing at its most functional.

Malhotra's treatment of research design deserves particular credit. He distinguishes between exploratory, descriptive, and causal research with enough clarity that students can actually choose the right approach for their problem rather than defaulting to whatever method they learned first. The discussion of sampling methods and sample size calculation is rigorous without becoming impenetrable. For practitioners who skipped statistics in college, these chapters offer a genuine education.

The quantitative sections—hypothesis testing, regression, ANOVA—are handled with appropriate rigor for an introductory text. Malhotra doesn't oversimplify the math, but he doesn't hide behind it either. He explains what these tests do and why you'd use them, then shows the mechanics. The emphasis on statistical power and practical significance (not just statistical significance) suggests he understands the real mistakes people make in practice.

Yet here's where the book falters: it treats data collection and analysis as technical problems with technical solutions, when the hardest part of research is asking the right question and knowing what you're actually measuring. Malhotra covers validity and reliability—the checkbox requirements of any methods course—but rarely interrogates the assumptions baked into his frameworks. Why does marketing research so often fail to predict behavior? Because people don't always do what they say, because context matters more than surveys capture, because researchers often confirm what clients already believe. The book acknowledges these issues but never really wrestles with them. It's a manual for doing research correctly according to its own rules, not a critical examination of those rules.

This is still a book worth assigning in a business school or consulting firm. It will make people more competent researchers. But it won't make them better thinkers about what research can and cannot do. Read it for the frameworks and the practical guidance. Don't expect it to change how you understand the relationship between data and truth.

Key Takeaways

Summary

Chapter Guide

Chapter 1: Introduction to Marketing Research
Sets out what marketing research is for, who uses it, and why decision-makers need more than intuition. It also distinguishes research from simple information gathering.
Chapter 2: Defining the Problem and Research Objectives
Shows how a vague business question becomes a researchable problem with clear objectives. This is the book’s most important managerial habit: don’t collect data until you know what you’re trying to learn.
Chapter 3: Research Design and Secondary Data
Covers exploratory, descriptive, and causal designs, then turns to internal and external secondary data. The point is practical: good research begins by using what already exists, not by commissioning a survey out of habit.
Chapter 4: Qualitative Research and Survey Preparation
Introduces focus groups, depth interviews, and other qualitative tools used to sharpen hypotheses and language. It then moves into questionnaire design, where a clumsy wording choice can wreck the whole project.
Chapter 5: Measurement and Scaling
Explains how abstract attitudes and preferences are turned into variables that can be analyzed. Expect discussion of reliability, validity, and the usual problem: people answer questions less neatly than managers wish they would.

Read the full review at https://reviewerinsight.com/book/69f576c9c84c962c4b76be44/basic-marketing-research

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