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Related Concept Videos

Qualitative Analysis01:10

Qualitative Analysis

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Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
There are two main approaches to qualitative analysis:...
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For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
For instance, group IV...
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A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
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Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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Related Experiment Video

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ExCYT: A Graphical User Interface for Streamlining Analysis of High-Dimensional Cytometry Data
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Network analysis for the visualization and analysis of qualitative data.

Jennifer J Pokorny1, Alex Norman2, Anthony P Zanesco3

  • 1Center for Mind and Brain, University of California, Davis.

Psychological Methods
|June 2, 2017
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Summary
This summary is machine-generated.

This study introduces a new method for visualizing qualitative data coding using network analysis. It represents code connections, enabling quantitative analysis and enhancing transparency in research.

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Area of Science:

  • Qualitative Data Analysis
  • Network Analysis
  • Graph Theory

Background:

  • Traditional qualitative data analysis can be complex and lack quantitative rigor.
  • Visualizing connections between codes is challenging with existing methods.

Purpose of the Study:

  • To present a novel method for visualizing and analyzing connections between qualitative codes.
  • To enable quantitative analysis of qualitative data through network analysis.
  • To enhance transparency and provide new insights into the coding process.

Main Methods:

  • Utilized graph theory and network analysis to represent qualitative codes.
  • Created network graphs from code names and their chronological location in transcripts.
  • Applied the method to interview transcripts coded in two different ways for proof of concept.

Main Results:

  • Developed a method to visualize interrelations of qualitative codes using network graphs.
  • Demonstrated the potential for quantifying qualitative codes via network analysis.
  • Facilitated examination of associations between network indices and other quantitative variables.

Conclusions:

  • Network graphs offer an innovative way to view and share qualitative data.
  • This approach enhances transparency in the qualitative data analysis process.
  • The method provides new insights and quantitative possibilities for qualitative research.