quantitatively

Examples of quantitatively 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 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 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 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.

• 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 ratio-scale quantitative measure.
  • A more general quantitative measure is the interval scale.
  • Differentiate between primary and secondary data and qualitative and quantitative data.