Variables can either be quantitative or qualitative. Temperature (in degrees Fahrenheit) is an example of a(n) _____ variable. A. Nominative B. Ordinal Quantitative research involves many kinds of variables. Quantitative research requires that both an independent (predictor) and dependent (outcome) variable exist for measurement and testing. In theory, continuous variables such as weight can take any value within a … There are four main types: Independent variables (IV). Extraneous variables. The two types of quantitative variables are: A. Ordinal and ratio B. Interval and ordinal C. Nominative and ordinal D. Interval and ratio E. Nominative and interval. Quantitative variables can be continuous or discrete. For example, a household could have three or five children, but not 4.52 children. Quantitative research may be a little less accurate for certain types of research, but it provides more data at a faster (and cheaper) rate. Understanding the types of variables you are investigating in your dissertation is necessary for all types of quantitative research design, whether you using an experimental, quasi-experimental, relationship-based or descriptive research design. age, weight, etc. The basic distinction is between the type of variables: quantitative variables (for which you ask "how much?") Any variables that can be expressed numerically are called quantitative variables. Types of variables. 5. D. Interval and ratio. In business circles, quantitative research is a key factor in following trends for better financial investment decisions. Dependent variables (DV). Quantitative variables are numerical variables: counts, percents, or numbers. Quantitative variables. Quantitative data collection involves measurement of variables A variable is a characteristic of a unit being observed that may assume more than one of a set of values to which a numerical measure or a category from a classification can be assigned (e.g. Some common variables used in statistics are explained here. When you carry out your dissertation, you may need to measure, manipulate and/or control the variables you are investigating. Each is discussed below. Independent Variables (IV) Independent variables (IV) are those that are suspected of being the cause in a causal relationship. Variables such as some children in a household or number of defective items in a box are discrete variables since the possible scores are discrete on the scale. Some examples of quantitative variables are shown below. Quantitative variables are again of two types: discrete and continuous. and categorical variables (for which you ask "what type?"). Surveys are perhaps the most common form of quantitative research. ; Categorical variables are descriptions of groups or things, like “breeds of dog” or “voting preference”. ). Two types of variables are used in statistics: Quantitative (also called measurement variable or numerical variables) and categorical (also called qualitative):. Sample variables.