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Network Analysis for the Visualization and Analysis of Qualitative Data

Overview of attention for article published in Psychological Methods, March 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

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1 policy source
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1 X user

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206 Mendeley
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Article details
Title
Network Analysis for the Visualization and Analysis of Qualitative Data
Published in
Psychological Methods, March 2018
DOI 10.1037/met0000129
Pubmed ID
Authors
Abstract

We present a novel manner in which to visualize the coding of qualitative data that enables representation and analysis of connections between codes using graph theory and network analysis. Network graphs are created from codes applied to a transcript or audio file using the code names and their chronological location. The resulting network is a representation of the coding data that characterizes the interrelations of codes. This approach enables quantification of qualitative codes using network analysis and facilitates examination of associations of network indices with other quantitative variables using common statistical procedures. Here, as a proof of concept, we applied this method to a set of interview transcripts that had been coded in 2 different ways and the resultant network graphs were examined. The creation of network graphs allows researchers an opportunity to view and share their qualitative data in an innovative way that may provide new insights and enhance transparency of the analytical process by which they reach their conclusions. (PsycINFO Database Record

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Germany 1 <1%
Austria 1 <1%
Unknown 204 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 33 16%
Student > Master 26 13%
Researcher 20 10%
Student > Doctoral Student 17 8%
Student > Bachelor 12 6%
Other 32 16%
Unknown 66 32%
Readers by discipline
Readers by discipline Count As %
Social Sciences 26 13%
Psychology 26 13%
Business, Management and Accounting 15 7%
Environmental Science 9 4%
Computer Science 8 4%
Other 51 25%
Unknown 71 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2022.
All research outputs
#8,504,810
of 26,833,669 outputs
Outputs from Psychological Methods
#324
of 750 outputs
Outputs of similar age
#132,243
of 348,406 outputs
Outputs of similar age from Psychological Methods
#4
of 4 outputs
Altmetric has tracked 26,833,669 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 750 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 348,406 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.