qualitative analysis

Examples of qualitative analysis in the following topics:

• Describing Qualitative Data

  • The most common form of qualitative qualitative analysis is observer impression—when an expert or bystander observers examine the data, interpret it via forming an impression and report their impression in a structured and sometimes quantitative form.
  • An important first step in qualitative analysis and observer impression is to discover patterns.
  • Deciding what is a variable, and how to code each subject on each variable, is more difficult in qualitative data analysis.
  • It is more sophisticated in qualitative data analysis.
  • Quantitative analysis of these codes is typically the capstone analytical step for this type of qualitative data.

• Qualitative Variable Models

  • In statistics, particularly in regression analysis, a dummy variable (also known as a categorical variable, or qualitative variable) is one that takes the value 0 or 1 to indicate the absence or presence of some categorical effect that may be expected to shift the outcome.
  • In regression analysis, the dependent variables may be influenced not only by quantitative variables (income, output, prices, etc.), but also by qualitative variables (gender, religion, geographic region, etc.).
  • Analysis of variance (ANOVA) models are a collection of statistical models used to analyze the differences between group means and their associated procedures (such as "variation" among and between groups).
  • This type of ANOVA modelcan have differing numbers of qualitative variables.
  • Break down the method of inserting a dummy variable into a regression analysis in order to compensate for the effects of a qualitative variable.

• Models with Both Quantitative and Qualitative Variables

  • A regression model that contains a mixture of quantitative and qualitative variables is called an Analysis of Covariance (ANCOVA) model.
  • A regression model that contains a mixture of both quantitative and qualitative variables is called an Analysis of Covariance (ANCOVA) model.
  • Run ANCOVA Analysis.
  • In this analysis, you need to use the adjusted means and adjusted MSerror.
  • Demonstrate how to conduct an Analysis of Covariance, its assumptions, and its use in regression models containing a mixture of quantitative and qualitative variables.

• Data

  • Qualitative data are the result of categorizing or describing attributes of a population.
  • Qualitative data are generally described by words or letters.
  • Researchers often prefer to use quantitative data over qualitative data because it lends itself more easily to mathematical analysis.
  • The colors red, black, black, green, and gray are qualitative data.
  • Work collaboratively to determine the correct data type (quantitative or qualitative).

• Summary

• Exercises

  • What would be the roles of descriptive and inferential statistics in the analysis of these 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.