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Questions and Answers
What characterizes an interval scale that differentiates it from an ordinal scale?
What characterizes an interval scale that differentiates it from an ordinal scale?
Why does a score of 0 on an interval scale not signify the absence of the property being measured?
Why does a score of 0 on an interval scale not signify the absence of the property being measured?
Which of the following examples illustrates an interval scale?
Which of the following examples illustrates an interval scale?
In the analogy of temperature, what does the difference between 20°F and 40°F illustrate in terms of interval scale?
In the analogy of temperature, what does the difference between 20°F and 40°F illustrate in terms of interval scale?
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What is the main implication of the discrepancy in unit measurement between the GRE and GMAT scores?
What is the main implication of the discrepancy in unit measurement between the GRE and GMAT scores?
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Which of the following statements is NOT true about interval scales?
Which of the following statements is NOT true about interval scales?
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How does the interval scale’s definition of zero differ from that of ratio scales?
How does the interval scale’s definition of zero differ from that of ratio scales?
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Considering the example of Olympic medals, which statement illustrates a critical misunderstanding of ordinal scales?
Considering the example of Olympic medals, which statement illustrates a critical misunderstanding of ordinal scales?
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What does a 0 value represent in an interval scale?
What does a 0 value represent in an interval scale?
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Which statement is true regarding the characteristics of interval data?
Which statement is true regarding the characteristics of interval data?
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Why can't one express temperature ratios using Fahrenheit values?
Why can't one express temperature ratios using Fahrenheit values?
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Which statistical techniques can be applied to ordinal data?
Which statistical techniques can be applied to ordinal data?
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What is one of the main properties that distinguishes ratio data from interval data?
What is one of the main properties that distinguishes ratio data from interval data?
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Which description correctly describes how to compute average values for interval data?
Which description correctly describes how to compute average values for interval data?
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If Spokane is registered at 0 °F and LA at 50 °F, what statement regarding their comparative temperature is correct?
If Spokane is registered at 0 °F and LA at 50 °F, what statement regarding their comparative temperature is correct?
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What is a key reason why you cannot say 'this temperature is three times hotter' using interval data?
What is a key reason why you cannot say 'this temperature is three times hotter' using interval data?
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What distinguishes a ratio scale from an interval scale?
What distinguishes a ratio scale from an interval scale?
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Which of the following best characterizes nominal data?
Which of the following best characterizes nominal data?
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When discussing age as a ratio scale, which statement is correct?
When discussing age as a ratio scale, which statement is correct?
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What is a defining characteristic of an ordinal scale?
What is a defining characteristic of an ordinal scale?
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Why are ratios not meaningful in interval scales?
Why are ratios not meaningful in interval scales?
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Which example best exemplifies an interval scale?
Which example best exemplifies an interval scale?
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In the context of student survey responses, how is the Likert scale defined?
In the context of student survey responses, how is the Likert scale defined?
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What is true regarding the measurement of weight using a ratio scale?
What is true regarding the measurement of weight using a ratio scale?
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What distinguishes Likert scale data from traditional ordinal data?
What distinguishes Likert scale data from traditional ordinal data?
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Why might the distances between responses on a Likert scale be considered meaningless?
Why might the distances between responses on a Likert scale be considered meaningless?
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What is necessary to classify a scale as a Likert scale?
What is necessary to classify a scale as a Likert scale?
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In what scenario might a Likert scale result interpretation be misleading?
In what scenario might a Likert scale result interpretation be misleading?
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How can researchers enhance the clarity of responses gathered via a Likert scale?
How can researchers enhance the clarity of responses gathered via a Likert scale?
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What is one main characteristic of data collected from a Likert scale?
What is one main characteristic of data collected from a Likert scale?
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Which of the following is NOT a characteristic of an ordinal scale?
Which of the following is NOT a characteristic of an ordinal scale?
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Which statement is true regarding the data interpretation from a Likert scale?
Which statement is true regarding the data interpretation from a Likert scale?
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Study Notes
Marketing Research - Module 7: Research Instrument II
- Course: MKTG 330
- Instructor: Danny Kim
- Module focuses on research instruments
- Extra credit opportunity available: Careers in Finance event on October 14th, Noon, Wolff Auditorium (0.5 points)
- QR code at the entrance for event
Schedule
- October 7th: Midterm 1
- October 9th: No class (university holiday)
- October 8th: Sampling Techniques I, CA7: Sampling (individual)
- October 16th: Research Instrument I, Sampling Techniques II (Mini Case II assigned)
- October 11th: Research Instruments II, No Class (Day of Cura Personalis)
- October 21st: Oct 19/25th/28th (class dates)
- October 23th: Survey design I, Mini Case II due
- October 25th: Survey design II, CA8: Survey design (group)
Types of Scales
- Recap of scales
- Likert scale (specific type discussed further)
Marketing Research Process
- Step 1: Map a business problem into a marketing problem.
- Step 2: Translate the marketing problem into a research methodology.
- Step 3: Design the research instrument.
- Step 4: Devise a sampling plan.
- Step 5: Collect data & clean data.
- Step 6: Analyze data into information & report information.
Scale: (3) Interval Scale
- Ordinal scales do not imply distance between evaluations.
- Interval scales do imply distance between evaluations because they are based on a unit of measurement.
- Examples include temperature (Fahrenheit or Celsius), standardized exam scores (like GMAT scores).
- The value of '0' in an interval scale doesn't mean nothingness or a vacuum.
- A Gold Medalist is not a larger value than a person without a medal. They are simply more successful in the sport/event
- Cannot multiply or divide interval data or take ratios.
- Statistical techniques such as percentages, mode, percentile, quartile, median, minimum, maximum, range, mean and standard deviation can be used.
Scale: (4) Ratio Scale
- Ratio data is derived a ratio scale and inherits characteristics from nominal, ordinal, and interval scales.
- Includes numerical values that can have a meaningful "0" value which indicates nothingness
- Examples include age and weight.
- Can multiply or divide ratio data/take ratios.
Review of Scales
- Nominal: Labels, no numerical value (e.g., colors, brands)
- Ordinal: Rank orderings, distance between values meaningless (e.g., ratings, rankings)
- Interval: Unit of measurement but no true zero (e.g., temperature, standardized tests)
- Ratio: Unit of measurement and true zero (e.g., height, weight)
Likert Scale
- A type of ordinal scale.
- Often presented as a questionnaire with rating options (e.g., strongly disagree to strongly agree).
- Data from a Likert scale is often treated as interval data (even though it's technically ordinal).
- Researchers need to explicitly identify it as a Likert scale for readers to understand its treatment from an ordinal scale to an interval scale.
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Description
This quiz covers Module 7 of the MKTG 330 course, focusing on Research Instrument II. It explores various types of research instruments, including the use of scales like the Likert scale, and provides insights into the marketing research process. Prepare to demonstrate your understanding of these concepts and their application in real-world scenarios.