qualitative

Examples of qualitative in the following topics:

• Qualitative Variable Models

  • Dummy, or qualitative variables, often act as independent variables in regression and affect the results of the dependent variables.
  • Dummy variables are "proxy" variables, or numeric stand-ins for qualitative facts in a regression model.
  • One type of ANOVA model, applicable when dealing with qualitative variables, is a regression model in which the dependent variable is quantitative in nature but all the explanatory variables are dummies (qualitative in nature).
  • This type of ANOVA modelcan have differing numbers of qualitative variables.
  • An example with two qualitative variables might be if hourly wages were explained in terms of the qualitative variables marital status (married / unmarried) and geographical region (North / non-North).

• Describing Qualitative Data

  • An important first step in qualitative analysis and observer impression is to discover patterns.
  • Concept formation is the creation of variables (usually called themes) out of raw qualitative data.
  • It is more sophisticated in qualitative data analysis.
  • Coding is the actual transformation of qualitative data into themes.
  • Mechanical techniques rely on leveraging computers to scan and reduce large sets of qualitative data.

• Measures of Variability of Qualitative and Ranked Data

  • Variability for qualitative data is measured in terms of how often observations differ from one another.
  • A discussion of the variability of qualitative--or categorical-- data can sometimes be absent.
  • In other words, the notion of "how far apart" does not make sense when evaluating qualitative data.
  • An index of qualitative variation (IQV) is a measure of statistical dispersion in nominal distributions--or those dealing with qualitative data.
  • It is the simplest measure of qualitative variation.

• Quantitative or Qualitative Data?

  • Different statistical tests are used to test quantitative and qualitative data.
  • Qualitative (categorical) research, on the other hand, asks broad questions and collects word data from participants.
  • Examples of qualitative variables are male/female, nationality, color, et cetera.
  • One of the most common statistical tests for qualitative data is the chi-square test (both the goodness of fit test and test of independence).

• Graphs of Qualitative Data

  • Qualitative data can be graphed in various ways, including using pie charts and bar charts.
  • Recall the difference between quantitative and qualitative data.
  • Qualitative data are measures of types and may be represented as a name or symbol.
  • There are a number of ways in which qualitative data can be displayed.
  • The qualitative data results were displayed in a frequency table.

• Variables

  • Qualitative variables are those that express a qualitative attribute such as hair color, eye color, religion, favorite movie, gender, and so on.
  • The values of a qualitative variable do not imply a numerical ordering.
  • Values of the variable "religion" differ qualitatively; no ordering of religions is implied.
  • Qualitative variables are sometimes referred to as categorical variables.
  • The variable "type of supplement" is a qualitative variable; there is nothing quantitative about it.

• Do It Yourself: Plotting Qualitative Frequency Distributions

  • Qualitative frequency distributions can be displayed in bar charts, Pareto charts, and pie charts.
  • One common way to organize qualitative, or categorical, data is in a frequency distribution.
  • The first step towards plotting a qualitative frequency distribution is to create a table of the given or collected data.
  • Outline the steps necessary to plot a frequency distribution for qualitative data.

• Averages of Qualitative and Ranked Data

  • The central tendency for qualitative data can be described via the median or the mode, but not the mean.
  • In order to address the process for finding averages of qualitative data, we must first introduce the concept of levels of measurement.
  • Stevens proposed his typology in a 1946 Science article entitled "On the Theory of Scales of Measurement. " In that article, Stevens claimed that all measurement in science was conducted using four different types of scales that he called "nominal", "ordinal", "interval" and "ratio", unifying both qualitative (which are described by his "nominal" type) and quantitative (to a different degree, all the rest of his scales).
  • The nominal scale differentiates between items or subjects based only on their names and/or categories and other qualitative classifications they belong to.

• Types of Data

  • Data can be categorized as either primary or secondary and as either qualitative or quantitative.
  • Qualitative data: race, religion, gender, etc.
  • Qualitative data: height in inches, time in seconds, temperature in degrees, etc.
  • Collecting information about a favorite color is an example of collecting qualitative data.
  • Differentiate between primary and secondary data and qualitative and quantitative data.

• Data

  • Qualitative data are the result of categorizing or describing attributes of a population.
  • Hair color, blood type, ethnic group, the car a person drives, and the street a person lives on are examples of qualitative data.
  • Qualitative data are generally described by words or letters.
  • The colors red, black, black, green, and gray are qualitative data.
  • Work collaboratively to determine the correct data type (quantitative or qualitative).