what are quantitative and qualitative variables?
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Quantitative Variables - Variables whose values result from counting or measuring something. Examples: height, weight, time in the 100 yard dash, number of items sold to a shopper. Qualitative Variables - Variables that are not measurement variables. Their values do not result from measuring or counting.
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A discrete quantitative variable is one that can only take specific numeric values (rather than any value in an interval), but those numeric values have a clear quantitative interpretation. Examples of discrete quantitative variables are number of needle punctures, number of pregnancies and number of hospitalizations.
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Quantitative variables are those variables that are measured in terms of numbers. Some examples of quantitative variables are height, weight, and shoe size. In the study on the effect of diet discussed above, the independent variable was type of supplement: none, strawberry, blueberry, and spinach.
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Qualitative v. There are two general types of data. Quantitative data is information about quantities; that is, information that can be measured and written down with numbers. Some examples of quantitative data are your height, your shoe size, and the length of your fingernails.
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Quantitative: Numerical or statistical information (data), which often comes from surveys, surveillance or from administration records. ... Qualitative evidence provides richer, deeper and broader information based on a few individuals or case examples. This type of evidence is valuable for describing how and why.
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Qualitative vs. quantitative research. When collecting and analyzing data, quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings. Both are important for gaining different kinds of knowledge.
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Quantitative Variables - Variables whose values result from counting or measuring something. Qualitative Variables - Variables that are not measurement variables. Their values do not result from measuring or counting. ... Designator values usually do not repeat in a table, but variable values often do repeat.
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Quantitative data is numerical data, whereas qualitative data has no numbers attached to it. The gender of respondents in a study, dividing light bulbs into categories like "very bright," "somewhat bright" and "dim," or the type of pizza a customer prefers are all examples of qualitative data.
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The most commonly used techniques for investigating the relationship between two quantitative variables are correlation and linear regression. Correlation quantifies the strength of the linear relationship between a pair of variables, whereas regression expresses the relationship in the form of an equation.
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The foundations of quantitative research are variables and there are three main types: dependent, independent and controlled. The researcher will manipulate an independent variable in an effort to understand its effect on the dependent or controlled variable.
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There are two types of data: qualitative and quantitative. Qualitative data are descriptions of the dependent variable, such as color, or sound. ... Quantitative data are numerical measurements of the dependent variable.
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quantitative research. When collecting and analyzing data, quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings. Both are important for gaining different kinds of knowledge. Quantitative research Quantitative research is expressed in numbers and graphs.
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As we can say that quantitative research is the process of collecting, analyzing, interpreting, and writing the results of a study, while qualitative research is the approach to data collection, analysis, and report writing differing from the traditional, quantitative approaches.
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qualitative research. Quantitative and qualitative research are complementary methods that you can combine in your surveys to get results that are both wide-reaching and deep. Simply put, quantitative data gets you the numbers to prove the broad general points of your research.
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Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age). Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).
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Qualitative variables take on values that are names or labels. The color of a ball (e.g., red, green, blue) or the breed of a dog (e.g., collie, shepherd, terrier) would be examples of qualitative or categorical variables. ... Quantitative variables are numeric. They represent a measurable quantity.
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Qualitative observation is a research method that examines the characteristics of research variables while quantitative observation is a research design that quantifies variables in terms of statistical and numerical value.