Research Variables

What is a research variable?

• A research variable is a type of equation used in statistical analysis.

• A research variable is a characteristic or attribute that can be measured or manipulated in a research study.

• A research variable is a type of computer program used to collect data.

• A research variable is a type of research method used to analyze data.

What are the two main types of research variables?

• control variables and extraneous variables

• qualitative variables and quantitative variables

• continuous variables and discrete variables

• independent variables and dependent variables

What is an independent variable?

• A variable that is randomly assigned to participants.

• A variable that is not affected by other variables.

• A variable that is measured or observed in an experiment.

• A variable that is manipulated or controlled by the experimenter.

What is a dependent variable?

• A dependent variable is a variable that is not affected by any other variables.

• A dependent variable is a variable that is controlled by the researcher.

• A dependent variable is the outcome or response variable that is affected by the independent variable(s).

• A dependent variable is a variable that is used to manipulate the independent variable(s).

Give an example of an independent variable and a dependent variable in a research study.

• Diet and weight loss

• Stress and weight loss

• Exercise and weight loss

• Sleep and weight loss

What is a control variable?

• A control variable is a variable that is manipulated in an experiment.

• A control variable is a variable that is kept constant or unchanged in an experiment.

• A control variable is a variable that is measured in an experiment.

• A control variable is a variable that is randomly selected in an experiment.

Why is it important to control variables in a research study?

• To waste time and resources

• To introduce bias into the study

• To ensure accurate and reliable results

• To make the study more complicated

What is the difference between qualitative and quantitative variables?

• Qualitative variables are variables that can be measured or quantified.

• Quantitative variables are categorical variables that represent qualities or characteristics.

• Qualitative variables are categorical variables that represent qualities or characteristics, while quantitative variables are numerical variables that represent quantities or measurements.

• Qualitative variables are numerical variables that represent quantities or measurements.

Give an example of a qualitative variable and a quantitative variable.

• Favorite color (qualitative), Weight (quantitative)

• Nationality (qualitative), Shoe size (quantitative)

• Hair color (qualitative), Age (quantitative)

• Eye color (qualitative), Height (quantitative)

What is the difference between discrete and continuous variables?

• Discrete variables can only take on specific values and have no gaps, while continuous variables can take on any value within a certain range and have gaps between them.

• Discrete variables can only take on specific values and have gaps between them, while continuous variables can take on any value within a certain range and have no gaps.

• Discrete variables and continuous variables are the same thing.

• Discrete variables can take on any value within a certain range and have no gaps, while continuous variables can only take on specific values and have gaps between them.