Week 6 - Variables and Hypothesis in Research

What is the role of variables in research?

• They are factors that can be measured, controlled, or manipulated.

• They are unchangeable factors.

• They only apply to qualitative studies.

• They are irrelevant to the research process.

Answer explanation

Variables are essential in research as they represent factors that can be measured, controlled, or manipulated, allowing researchers to analyze relationships and draw conclusions.

Which of the following is an example of a categorical variable?

• Weight

• Gender

• Height

• Temperature

Answer explanation

Gender is a categorical variable as it represents distinct categories (e.g., male, female) without a numerical value. In contrast, weight, height, and temperature are continuous variables measured on a numerical scale.

What type of variable is manipulated by researchers?

• Intervening Variable

• Extraneous Variable

• Independent Variable

• Dependent Variable

Answer explanation

The independent variable is the one that researchers manipulate to observe its effect on other variables. In experiments, it is the primary variable of interest, unlike dependent, intervening, or extraneous variables.

Which of the following is a characteristic of a good hypothesis?

• Vagueness

• Irrelevance

• Testability

• Ambiguity

Answer explanation

A good hypothesis must be testable, meaning it can be supported or refuted through experimentation or observation. This allows for scientific inquiry and validation, unlike vagueness, irrelevance, or ambiguity.

What is a moderating variable?

• A variable that is not part of the study.

• A variable that can change the relationship between independent and dependent variables.

• A variable that is always controlled.

• A variable that explains the relationship between independent and dependent variables.

Answer explanation

A moderating variable influences the strength or direction of the relationship between independent and dependent variables, making the correct choice "A variable that can change the relationship between independent and dependent variables."

What is the difference between a hypothesis and an assumption?

• Hypotheses are untestable, assumptions are testable.

• Hypotheses are based on evidence, assumptions are not.

• There is no difference.

• Hypotheses are always true, assumptions are always false.

Answer explanation

Hypotheses are formulated based on evidence and can be tested through experimentation, while assumptions are taken for granted without evidence. Thus, the correct choice highlights this key distinction.

Which of the following is an example of a dependent variable?

• The study method

• The exam score

• The age of participants

• The number of hours studied

Answer explanation

The exam score is a dependent variable because it is influenced by other factors, such as the study method and the number of hours studied. The other options are independent variables or characteristics.

What type of variable has a true zero point?

• Interval Variable

• Ordinal Variable

• Ratio Variable

• Nominal Variable

Answer explanation

A ratio variable has a true zero point, meaning that zero indicates the absence of the quantity being measured. In contrast, interval variables do not have a true zero, making ratio variables the correct choice.

What is an extraneous variable?

• A variable that is always controlled.

• A variable that is part of the main focus of the study.

• A variable that can influence the results but is not the main focus.

• A variable that is manipulated by the researcher.

Answer explanation

An extraneous variable is one that can affect the outcome of a study but is not the primary focus. It is important to identify and control these variables to ensure valid results.

Which of the following is a subtype of continuous variables?

• Nominal Variables

• Categorical Variables

• Dichotomous Variables

• Interval Variables

Answer explanation

Interval variables are a subtype of continuous variables, as they represent measurable quantities with meaningful intervals. In contrast, nominal and categorical variables are qualitative, while dichotomous variables are a specific type of categorical.