Variables In Research Quiz 40 (10 MCQs)

This set of multiple-choice questions evaluates understanding of variables in research, including confounding, extraneous, dependent, and independent variables. It covers experimental design, research methodology, and the classification of variables such as nominal, numerical, and discrete. The material assesses the ability to interpret research relationships and outcomes, and to distinguish between different types of variables and their characteristics.

Quiz Instructions

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1. When the dependent variable is not free from the influence of extraneous variable, the relationship is known as
2. The effect-what comes out of the function-what you measure
3. Categories have no implied rank or order. mutually exclusive categories. gender, disease states, and used to consider race as a nominal variable
4. A symbol used to represent an unknown
5. Classify the following variables as categorical, continuous numerical or discrete numerical data: the number of letters in different words on a page.
6. Mrs. Ahlers set up an experiment to see how the mass of a ball affects the distance it rolls off a ramp. What is the dependent variable?
7. The outcome in an experiment is known as .....
8. Five students got a perfect score on their science tests
9. Characteristic that can change in value or magnitude under different conditions
10. What is the Independent Variable in this research question? "Are students aged 55 and older more likely to drop out of college than students of ages between 30 and 40?"

Frequently Asked Questions

What is a variable in research?

A variable in research is a characteristic that can take on different values or states. It represents an unknown quantity that can be measured or observed.

How are variables classified in research?

Variables in research are classified based on their measurement level, such as nominal, ordinal, interval, and ratio. They can also be categorized as independent, dependent, or confounding variables.

What is the role of an independent variable in an experiment?

The independent variable is the factor that the researcher manipulates to observe its effect on the dependent variable. It is the cause in the cause-and-effect relationship being studied.

How do discrete numerical variables differ from continuous variables?

Discrete numerical variables can only take on specific, countable values, such as whole numbers. Continuous variables, on the other hand, can take on any value within a range, including fractional or decimal values.

What is the importance of controlling extraneous variables in research?

Controlling extraneous variables is crucial to ensure that the results of a study are valid and reliable. These variables can influence the dependent variable and confound the relationship between the independent and dependent variables.