qualitative

Examples of qualitative in the following topics:

• Qualitative and Quantitative Analysis

• 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).

• 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.
  • Qualitative methods produce information only on the particular cases studied, and any more general conclusions are only hypotheses.
  • Qualitative researchers aim to gather an in-depth understanding of human behavior and the reasons that govern it.
  • The qualitative method investigates the why and how of consumer behavior, not just what, where, when.
  • The Following Are Some Examples of Qualitative Approaches Used in Collecting Data:

• 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.

• Solubility Product Principle and Qualitative Analysis

  • Solubility product principle is used in qualitative analysis to determine composition of a compound by separation of ions in a solution.
  • Classical qualitative inorganic analysis is a method of analytical chemistry that seeks to find the elemental composition of inorganic compounds.
  • The entire traditional qualitative-analysis scheme is based on the use of these equilibrium constants to determine the correct precipitating ions and the correct strategy.
  • Precipitation is used in qualitative chemical analysis.
  • Describe the application of the solubility product principle in the qualitative analysis of a solution.

• 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.

• Quantitative and Qualitative

  • Qualitative methods of sociological research tend to approach social phenomena from the Verstehen perspective.
  • Rather than attempting to measure or quantify reality via mathematical rules, qualitative sociologists explore variation in the natural world people may see, touch, and experience during their lives.
  • Further, qualitative sociologists typically reject measurement or quantities (essential to quantitative approaches) and the notion or belief in causality (e.g., qualitative sociologists generally argue that since there is no demonstrated possibility of ever exploring all potential variables or influences in one study, causality is always incomplete and beyond empirical means).
  • 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.

• 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.