Marketing Research Essentials: Sampling, Questionnaires & Surveys

Marketing Research Process & Sampling Fundamentals

The 6-Step Marketing Research Process

  1. Problem Definition
  2. Development of an Approach
  3. Research Design
  4. Fieldwork / Data Collection
  5. Data Preparation & Analysis
  6. Presentation of Results

Sampling Fundamentals

Population: The entire group being studied.

Sample: A subset of the population used for research.

Sampling: The process of selecting a representative subset from the population.

A sample must be representative of the population.

Sampling Design Approaches

Probability Sampling: Equal Chance for All

Simple Random Sampling: Each member has an equal chance of selection (e.g., using a random number generator).

Non-Probability Sampling: Unequal Selection Chances

Convenience Sampling: Based on ease of access and availability, carrying a high risk of bias.

Voluntary Response Sampling: Relies on individuals who choose to participate, often leading to strong or skewed opinions.

Judgment Sampling: Selection based on the researcher’s belief about the representativeness of the sample, which can be subjective.

Fieldwork and Data Collection Methods

Fieldwork is closely tied to the research design:

  • Exploratory Research Design: Often uses qualitative methods (e.g., in-depth interviews, focus groups).
  • Conclusive Research Design: Typically employs quantitative methods (e.g., surveys, experiments).

Methods: Qualitative (QUAL) vs. Quantitative (QUAN).

For stronger validity, consider using triangulation (combining multiple methods or data sources).

Sample Size Considerations

Sample size is determined by:

  • Population size
  • Margin of error (commonly 5%)
  • Confidence level

Effective Questionnaire Design Principles

What is a Questionnaire?

A questionnaire is a formalized set of questions used to systematically collect data from respondents.

Key Objectives of Questionnaire Design

  • Collect accurate and reliable information.
  • Encourage high participation rates.
  • Minimize response errors.

The 10-Step Questionnaire Design Process

  1. Specify Information Needed: Clearly define the research problem, hypotheses, and target audience.
  2. Define Type of Interview:
    • Face-to-face: Suitable for complex questions.
    • Phone: Best for simple and short inquiries.
    • Paper/Online: Ideal for self-administered surveys.
  3. Determine Question Content: Avoid assuming respondent knowledge. Ensure questions are meaningful and answerable.
  4. Design Questions (Avoid Bias & Reluctance): Phrase questions neutrally (e.g., “What do you like about…?” instead of “Why do you…?”). Avoid sensitive or personal questions early in the survey.
  5. Choose Question Structure:
    • Open-ended: Useful for exploration, typically at the beginning of a survey.
    • Close-ended: Provides clarity with options like Yes/No, multiple choice, or scales.
  6. Choose Wording Carefully: Ensure clarity, simplicity, neutrality, and specificity in question wording.
  7. Question Order: Begin with easy, trust-building questions. Reserve sensitive or complex questions for later. Maintain a logical flow and group related questions.
  8. Choose Format: Ensure a clear layout, visible instructions, and consistent structural design.
  9. Presentation (“Looks”): Utilize readable fonts, clear numbering, and an organized page structure.
  10. Pilot Test: Conduct a pilot test to identify and correct any issues before full deployment.

Types of Questionnaire Questions

  1. Open-Ended Questions: Allow for free-form responses and are exploratory. Best used at the beginning of surveys.
  2. Close-Ended Questions:
    • Dichotomous: Yes or No options.
    • Multiple Choice: Respondents select one option.
    • Checklist: Allows for multiple selections.
    • Frequency: Measures how often something occurs.

Questionnaire Best Practices

  • Avoid ambiguous, biased, or overly general questions.
  • Keep wording simple and precise.
  • Follow a general-to-specific question order.
  • Ensure the questionnaire flows naturally, like a conversation.

Research Types and Survey Methodologies

Research Types Overview

  • Qualitative Research: Focuses on the “WHY” (subjective insights).
  • Quantitative Research: Addresses “WHO, WHAT, WHEN, WHERE, HOW” (objective data).

Descriptive Research Design

Descriptive research is a component of Conclusive Research Design.

It answers questions such as: Who? What? When? Where? How?

Used to describe market characteristics or functions, including:

  • Market potential
  • Customer profiles
  • Market share
  • Brand image
  • Buying behavior

When to Use Descriptive Research

Use descriptive research when you need to know:

  • How many or how often something occurs.
  • What proportion, extent, or percentage applies (e.g., “What is…”, “What are…”).

Survey vs. Questionnaire: Key Differences

Survey: A comprehensive method of data collection, encompassing the sample, mode of administration, and data analysis.

Questionnaire: A specific tool or instrument used to ask structured questions within a survey.

Types of Descriptive Research

  • Cross-sectional: Data collected at a single point in time.
  • Longitudinal (e.g., Panel Surveys): Data collected over an extended period.

Common Survey Methods

  • Telephone Interviews
  • Personal Interviews
  • Mail Surveys / Mail Panels
  • Online Surveys

Panel Surveys: Tracking Over Time

Panel surveys involve surveying the same individuals multiple times.

They are useful for tracking:

  • Changes in attitudes, behaviors, and preferences.
  • Customer lifecycle and repeat purchase intent.
  • Market segment insights.

Primary Data Collection Focus Areas

Primary data collection typically gathers information on:

  • Demographics
  • Attitudes/Opinions
  • Awareness/Knowledge
  • Motivation
  • Behaviors

Common Survey Errors to Avoid

  • Small sample size
  • High non-response rates
  • Poorly written questions
  • Interviewer bias
  • Untrustworthy answers

Observation Methods in Research

  • Disguised vs. Undisguised: Whether respondents are aware they are being observed.
  • Natural vs. Contrived: Observation in a natural setting versus a controlled environment.
  • Mechanical Observation: Utilizes devices like cameras or eye-tracking technology.