quantitation

(noun)

The process of quantitating.

Related Terms

Examples of quantitation in the following topics:

  • Qualitative and Quantitative Analysis

  • Graphing Quantitative Variables

    • There are many types of graphs that can be used to portray distributions of quantitative variables.

  • Quantitative or Qualitative Data?

    • Different statistical tests are used to test quantitative and qualitative data.
    • Quantitative (numerical) data is any data that is in numerical form, such as statistics, percentages, et cetera.
    • In layman's terms, a researcher studying quantitative data asks a specific, narrow question and collects a sample of numerical data from participants to answer the question.
    • Paired and unpaired t-tests and z-tests are just some of the statistical tests that can be used to test quantitative data.

  • Quantitative vs. Qualitative Research

    • Both quantitative and qualitative models seek to explain patterns in behavior, but the former is mathematical and the latter is more descriptive.
    • At its core, quantitative research is used to identify patterns and predict behavior.
    • Quantitative research is generally conducted using scientific methods, which can include:
    • Unlike quantitative methods which are used to identify patterns and make predictions, qualitative research aims to explain behavior.
    • Hence, smaller but focused samples are more often needed than the large samples required of quantitative methods.

  • Quantitative and Qualitative

    • Quantitative methods of sociological research approach social phenomena from the perspective that they can be measured and/or quantified.
    • Quantitative sociologists tend to use specific methods of data collection and hypothesis testing, including: experimental designs, surveys, secondary data analysis, and statistical analysis.
    • They view quantitative and qualitative approaches as complementary.
    • For example, quantitative methods could describe large or general patterns in society while qualitative approaches could help to explain how individuals understand those patterns.
    • Similarly, qualitative patterns in society can reveal missing pieces in the mathematical models of quantitative research while quantitative patterns in society can guide more in-depth analysis of actual patterns in natural settings.

  • References

    • The Visual Display of Quantitative Information (2nd ed. ) (p. 178).

  • Data

    • Quantitative data are always numbers.
    • Quantitative data may be either discrete or continuous.
    • The numbers of books (3, 4, 2, and 1) are the quantitative discrete data.
    • Weights are quantitative continuous data because weights are measured.
    • Indicate whether quantitative data are continuous or discrete.

  • Variables

    • An important distinction between variables is between qualitative variables and quantitative variables.
    • Quantitative variables are those variables that are measured in terms of numbers.
    • Some examples of quantitative variables are height, weight, and shoe size.
    • The variable "type of supplement" is a qualitative variable; there is nothing quantitative about it.
    • In contrast, the dependent variable "memory test" is a quantitative variable since memory performance was measured on a quantitative scale (number correct).

  • Forecasting

    • Quantitative forecasting generally uses statistical confidence intervals and historical data to project potential future trends that are based upon the criteria being analyzed.
    • While quantitative measure use data to express objective results, qualitative approaches do not have this luxury.
    • Another method of forecasting, which is likely to be both quantitative and qualitative, is the causal/econometric approach.
    • This flow chart compares quantitative and qualitative forecasting methods.
    • In contrast, quantitative forecasting relies more on objective, numerical data, and can look at chronological trends and statistical regression to infer cause-and-effect.

  • Solutions to Exercises in Chapter 2

    • Items 1, 5, 11, and 12 are quantitative discrete; items 4, 6, 10, and 14 are quantitative continuous; and items 2, 3, 7, 8, 9, and 13 are qualitative.