quantitative
Economics
Of a measurement based on some number rather than on some quality.
Writing
Of research methods that rely on objective measurements and data analysis.
Sociology
Of a measurement based on some quantity or number rather than on some quality.
Psychology
Of a measurement based on a number or numerical value, rather than on a quality.
Examples of quantitative 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 ttests and ztests 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 indepth 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 causeandeffect.

Types of Data
 Data can be categorized as either primary or secondary and as either qualitative or quantitative.
 Quantitative data always are associated with a scale measure.
 Money is another common ratioscale quantitative measure.
 A more general quantitative measure is the interval scale.
 Differentiate between primary and secondary data and qualitative and quantitative data.