List four scales (levels) of measurement.
Identify widely used attitude-scaling techniques in marketing research.
Explain validity and reliability concerning measuring instruments.
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.
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.
Levels:
Highest: Ratio
Interval
Ordinal
Nominal
Data collected at higher levels can represent lower levels, but the reverse isn't true.
Mean: Average value of data.
Median: Middle value when data is ordered.
Mode: Most frequently occurring value.
Nominal Scale:
Assigning numbers solely for identification.
Example: Favorite cosmetics.
Central tendency measured: Mode.
Ordinal Scale:
Assigning numbers based on order.
Example: Rank brand preferences.
Central tendency measured: Median, Mode.
Interval Scale:
Numbers allow for comparison of size differences.
Example: Attitudes towards brands (1=Negative, 5=Positive).
Central tendency measured: Mean, Median, Mode.
Ratio Scale:
Has absolute zero; allows for comparing absolute magnitudes.
Example: Total units sold.
Central tendency: Geometric mean, Harmonic mean, Mean, Median, Mode.
Interval Scale: Zero as a position, does not represent absence.
Ratio Scale: Zero has absolute meaning, indicating absence of property.
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 |
Attitudes, perceptions, and preferences are often gauged through self-reports.
Scaling Techniques:
Non-comparative Scales:
Itemized-Ratings (Likert) Scale
Semantic-Differential Scale
Comparative Scales:
Continuous Ratings
Constant-Sum Scale
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.
Total sum represents overall attitude.
Symmetric and equidistant for interval-level measurement.
Allows evaluation on a bipolar scale.
Advantages: Versatility for brand image assessment.
Disadvantages: Difficulty in finding appropriate bipolar adjectives.
Respondents evaluate by placing marks along a continuum.
Pros: Provides fine distinctions; Cons: Scoring can be challenging.
An effective method to prevent halo effect influence.
Design a survey including:
A Likert question
A semantic differential question
A ranking task
A point allocation task
Example Topic: ASU Student Preferences.
Measurement error: Difference between observed and true score.
Sources of Error:
Systematic Error: Constant impact.
Random Error: Variable impact across measurements.
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.
List the four scales of measurement.
Identify widely used attitude-scaling techniques.
Explain validity and reliability in measuring instruments.