asking questions

Learning Objectives

  1. List four scales (levels) of measurement.

  2. Identify widely used attitude-scaling techniques in marketing research.

  3. Explain validity and reliability concerning measuring instruments.

Defining Scales of Measurement

  • Measurement:

    • Assignment of numbers to objects representing quantities of attributes.

    • Benefits: Easier communication, summarization, and statistical analysis.

  • Scaling:

    • Generation of continuum to locate measured objects.

    • Types: Nominal, Ordinal, Interval, Ratio.

Example: Measurement and Scale

  • Measuring understanding of marketing research using a quiz score (0-20).

  • Assign points based on correct answers (1=correct, 0=incorrect).

  • Example Representation:

    • Abigail: Score = 10

    • Quantity of attribute: understanding

    • Measurement rules applied.

Scale of Measurement Hierarchy

  • Levels:

    • Highest: Ratio

    • Interval

    • Ordinal

    • Nominal

  • Data collected at higher levels can represent lower levels, but the reverse isn't true.

Central Tendency in Measurement

  • Mean: Average value of data.

  • Median: Middle value when data is ordered.

  • Mode: Most frequently occurring value.

Types of Measurement Scales

  1. Nominal Scale:

    • Assigning numbers solely for identification.

    • Example: Favorite cosmetics.

    • Central tendency measured: Mode.

  2. Ordinal Scale:

    • Assigning numbers based on order.

    • Example: Rank brand preferences.

    • Central tendency measured: Median, Mode.

  3. Interval Scale:

    • Numbers allow for comparison of size differences.

    • Example: Attitudes towards brands (1=Negative, 5=Positive).

    • Central tendency measured: Mean, Median, Mode.

  4. Ratio Scale:

    • Has absolute zero; allows for comparing absolute magnitudes.

    • Example: Total units sold.

    • Central tendency: Geometric mean, Harmonic mean, Mean, Median, Mode.

Interval vs. Ratio Scales

  • Interval Scale: Zero as a position, does not represent absence.

  • Ratio Scale: Zero has absolute meaning, indicating absence of property.

Comparison of Scales of Measurement

Scale

Description

Examples

Central Tendency

Ratio

Absolute Magnitudes

Units Sold, Income

Geometric, Harmonic, Mean, Median, Mode

Interval

Comparison of Intervals

Customer Satisfaction

Mean, Median, Mode

Ordinal

Order Identity

Brand Preference

Median, Mode

Nominal

Identity

Gender, Purchase Incidence

Mode

Measuring Attitudes & Other Unobservables

  • Attitudes, perceptions, and preferences are often gauged through self-reports.

  • Scaling Techniques:

    • Non-comparative Scales:

      1. Itemized-Ratings (Likert) Scale

      2. Semantic-Differential Scale

    • Comparative Scales:

      1. Continuous Ratings

      2. Constant-Sum Scale

Comparative vs. Non-comparative Scales

  • Comparative Scales: Evaluate two or more attributes together.

  • Non-comparative Scales: Evaluate one attribute at a time.

  • Itemized: Fixed response categories vs. Continuous: Many response categories, flexible.

Likert Scale**: A widely-used scale to measure attitudes. Features:

  • Total sum represents overall attitude.

  • Symmetric and equidistant for interval-level measurement.

Semantic-Differential Scale

  • Allows evaluation on a bipolar scale.

  • Advantages: Versatility for brand image assessment.

  • Disadvantages: Difficulty in finding appropriate bipolar adjectives.

Graphic-Ratings Scale

  • Respondents evaluate by placing marks along a continuum.

  • Pros: Provides fine distinctions; Cons: Scoring can be challenging.

Constant-Sum Scale**: Assign a fixed number of points among attributes, assessing relative importance.

  • An effective method to prevent halo effect influence.

In-class Assignment

  • Design a survey including:

    1. A Likert question

    2. A semantic differential question

    3. A ranking task

    4. A point allocation task

  • Example Topic: ASU Student Preferences.

Measurement Error

  • Measurement error: Difference between observed and true score.

  • Sources of Error:

    • Systematic Error: Constant impact.

    • Random Error: Variable impact across measurements.

Reliability vs. Validity

  • Reliability: Consistency of measurement results over time (related to random error).

  • Validity: Reflects true differences among objects rather than error.

  • Perfect reliability does not ensure perfect validity.

Conclusion & Review

  1. List the four scales of measurement.

  2. Identify widely used attitude-scaling techniques.

  3. Explain validity and reliability in measuring instruments.

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