Difficulty: Medium

Average Score: 66%

Which variable is qualitative?

Rationale

Diet in a study about food and cognitive functioning.

Diet is a qualitative variable as it encompasses the types and qualities of food consumed, which can influence cognitive functioning in various ways. Unlike quantitative variables, qualitative variables describe characteristics or attributes rather than numerical values.

A (Object volume in a study about object size estimation and perception) YOUR ANSWER

Object volume is a quantitative variable measured in cubic units, such as liters or cubic centimeters. It provides numerical data that can be analyzed statistically, thus making it unsuitable for classification as a qualitative variable.

B (Time to complete a test in a study about stress and academic performance) YOUR ANSWER

Time to complete a test is also a quantitative variable, expressed in units such as seconds or minutes. This measurement allows for numerical comparisons and statistical analysis, which is characteristic of quantitative data rather than qualitative attributes.

C (Interest rate in a study about investment decisions) YOUR ANSWER

Interest rate is a quantitative variable that represents a percentage and can be calculated or measured numerically. It provides specific data points that can be used for financial analysis, making it distinctly quantitative rather than qualitative.

D (Diet in a study about food and cognitive functioning) CORRECT

Diet is indeed qualitative, as it refers to the variety and types of foods consumed, which influence cognitive processes. This variable captures the essence of dietary patterns and preferences, making it a crucial element in studies focused on the relationship between food and cognition without relying on numerical measurement.

Conclusion

Qualitative variables describe non-numeric characteristics, such as dietary habits in the context of food and cognitive functioning. In contrast, the other choices represent quantitative variables that yield numerical data for analysis. Understanding the distinction between qualitative and quantitative variables is essential for accurately interpreting research findings and their implications.

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