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fs/QCA
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fs/QCA

Overview
Synopsis

Qualitative Comparative Analysis (QCA) is a new analytic technique that uses Boolean algebra to implement principles of comparison used by scholars engaged in the qualitative study of macro social phenomena.

Category

Qualitative Data Analysis Software Free

Features

• Character-level coding using codes
•File Editing after coding
•Memos of documents, codes, coding, project, files and more
•Retrieval of coding, and easily return to the original file
•Single-file (*.rqda) format, which is basically a SQLite database.
•Organize codes into code categories, which is key to theory building.
•Search files by keywords with highlighting of the keyword in the open file.

License

Proprietary

Price

Free

Pricing

Subscription

Free Trial

Available

Users Size

Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)

Website
Company

fs/QCA

What is best?

• Character-level coding using codes
•File Editing after coding
•Memos of documents, codes, coding, project, files and more
•Retrieval of coding, and easily return to the original file
•Single-file (*.rqda) format, which is basically a SQLite database.
•Organize codes into code categories, which is key to theory building.

What are the benefits?

• Perform both intensive and integrative analyses
• Handle multiple research cases
• Perform multiple comparisons of configurations
• Provide techniques for simplifying analyses of data
• Access to qualitative data analysis features

PAT Rating™ ( Beta)
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.6
8.3
Features & Functionality
7.6
8.3
Advanced Features
7.5
8.1
Integration
7.4
8.2
Performance
7.4
Training
8.2
Customer Support
7.5
8.2
Implementation
Renew & Recommend
Bottom Line

QCA makes it possible to bring the logic and empirical intensity of qualitative approaches to studies that embrace more than a handful of cases -- research situations that normally call for the use of variable-oriented, quantitative methods.

7.5
Editor Rating
8.2
Aggregated User Rating
1 rating
You have rated this

Qualitative Comparative Analysis (QCA) is a new analytic technique that uses Boolean algebra to implement principles of comparison used by scholars engaged in the qualitative study of macro social phenomena. By formalizing the logic of qualitative analysis, QCA makes it possible to bring the logic and empirical intensity of qualitative approaches to studies that embrace more than a handful of cases -- research situations that normally call for the use of variable-oriented, quantitative methods.

fsQCA makes the following assumptions about the structure of *.csv, *.dat and *.txt data files. First, and most important, fsQCA assumes that the cells in the first row of the spreadsheet contain variable names for their respective columns. Second, fsQCA assumes that the data begin in the second row of the spreadsheet and that each case is a single row. Finally, fsQCA assumes that each column contains cells of the same type of data. Once users have their data in the fsQCA program and have completed some preliminary analyses, users have the option to either edit the data in fsQCA (see Chapter2), or edit their data with the help of software packages users are more familiar with (i.e. SPSS or Excel). Similarly, users can either display the data graphically with the fsQCA program or turn to SPSS or Excel for more elaborate graphical representations. If users choose SPSS or Excel for these operations, users need to save the fsQCA file and transfer it to the program of their choice. FS/QCA can read comma, space, or tab-delimited file. The more recent versions of SPSS will create tab-delimited files with variable names on the first line of the data file. This file type is best for FS/QCA and allows a relatively painless back and forth between SPSS (for data transformation, etc.) and FS/QCA (for analysis).

 

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1 Reviews
  • Leo
    August 14, 2017 at 11:25 am

    Modern analytic technique that utilizes Boolean algebra to effect principles of comparison

    Company size

    Small (<50)

    User Role

    End User

    User Industry

    Mass media

    Rating
    Ease of use8.3

    Qualitative Comparative Analysis (QCA) is a modern analytic technique that utilizes Boolean algebra to effect principles of comparison used by scholars performing research on social phenomena. QCA helps qualitative statisticians perform both intensive and integrative analyses i.e. addressing many aspects of cases and examining how the different parts of a case fit together, both contextually and historically.

    Features & Functionality8.3

    Advanced Features8.1

    Integration8.2

    Training 8.2

    Customer Support8.2

    ADDITIONAL INFORMATION
    By formalizing the logic of qualitative analysis, QCA makes it possible to bring the logic and empirical intensity of qualitative approaches to studies that handle multiple research cases that normally call for the use of variable-oriented, quantitative methods. Boolean methods of logical comparison represent each case as a combination of causal and outcome conditions. These combinations can be compared with each other and then logically simplified through a bottom-up process of paired comparison. Computer algorithms provide techniques for simplifying this type of data. The data matrix is reformulated as a truth table and reduced in a way that parallels the minimization of switching circuits, helping make multiple comparisons of configurations. What logical minimization seeks to achieve is to represent, in a shorthand manner, the information in the truth table regarding the different combinations of conditions that produce a specific outcome.

Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
Renew & Recommend

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