Review waiting, please be patient.
This may take 3 months or more, since drafts are reviewed in no specific order. There are 2,686 pending submissions waiting for review.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
Reviewer tools
|
Submission declined on 2 December 2023 by
Sohom Datta (
talk).
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
This draft has been resubmitted and is currently awaiting re-review. |
Submission declined on 7 November 2023 by
Vanderwaalforces (
talk). This submission is not adequately supported by
reliable sources. Reliable sources are required so that information can be
verified. If you need help with referencing, please see
Referencing for beginners and
Citing sources. Declined by
Vanderwaalforces 8 months ago. |
Submission declined on 28 October 2022 by
GRuban (
talk). This draft's references do not show that the subject
qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by
GRuban 20 months ago.
|
Submission declined on 25 June 2022 by
Stuartyeates (
talk). This draft's references do not show that the subject
qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by
Stuartyeates 2 years ago.
|
Submission declined on 27 May 2022 by
KylieTastic (
talk). This draft's references do not show that the subject
qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by
KylieTastic 2 years ago.
|
Original author(s) | Colin Curtain |
---|---|
Stable release | 3.3
/ 18 May 2023 |
Written in | Python |
Operating system | Windows, macOS, Linux |
License | MIT License |
Website | https://github.com/ccbogel/QualCoder |
QualCoder is a free open-source, qualitative data analysis software created by Colin Curtain in January 2019. [1] It allows for qualitative data analysis of text, images, audio, and video. QualCoder is based on Python programming language and is compatible with Windows, macOS, and Linux. It is inspired by and draws from the RQDA R package. [2] [3]
QualCoder has been discussed in the American Journal of Qualitative Research, [4] and has been recognized in university libraries.
QualCoder is sometimes described as Python alternative to RQDA, however, it provides more options related to image, audio, and video analysis. [5] It allows for the construction of semantic networks of codes and categories that have emerged in the analysis. Technically, the codes and categories constitute ‘nodes’ of the semantic network insofar as these two circumstances occur:
a. The same codes are used to ‘mark’ different interview pieces;
b. Different codes are used to mark the same pieces of interview." [6]
The QualCoder functionalities include, e.g. [7] [2] [8] [9] [4]
QualCoder uses the SQLite data structure. [10] It implemented exportation and importation of codebook through the REFI-QDA format. [11] It also implemented export and import of whole research project through this format, however, it was not fully tested. [7] It also supports manipulations to the graph and export the Results matrix.
QualCoder was used in a number of research published in peer-reviewed journals, including research on Functional Communities, [12] mental health services, [13] English language learners’ communicative repertoires, [14] populist discourse, [15] and pharmacists experience. [16] It is also used in the developing of master's theses [17] [18] [19] [20] and PhD dissertations. [21] [22]
Strengths of QualCoder include that it is free to use and therefore available to researchers with limited funding, while still being more advanced in functionality compared to other free open-source CAQDAS such as Taguette. A weakness is the lack of online collaboration options since QualCoder is only available as a desktop application. [4]
Review waiting, please be patient.
This may take 3 months or more, since drafts are reviewed in no specific order. There are 2,686 pending submissions waiting for review.
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
Reviewer tools
|
Submission declined on 2 December 2023 by
Sohom Datta (
talk). This draft's references do not show that the subject
qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are:
Where to get help
How to improve a draft
You can also browse Wikipedia:Featured articles and Wikipedia:Good articles to find examples of Wikipedia's best writing on topics similar to your proposed article. Improving your odds of a speedy review To improve your odds of a faster review, tag your draft with relevant WikiProject tags using the button below. This will let reviewers know a new draft has been submitted in their area of interest. For instance, if you wrote about a female astronomer, you would want to add the Biography, Astronomy, and Women scientists tags. Editor resources
This draft has been resubmitted and is currently awaiting re-review. |
Submission declined on 7 November 2023 by
Vanderwaalforces (
talk). This submission is not adequately supported by
reliable sources. Reliable sources are required so that information can be
verified. If you need help with referencing, please see
Referencing for beginners and
Citing sources. Declined by
Vanderwaalforces 8 months ago. |
Submission declined on 28 October 2022 by
GRuban (
talk). This draft's references do not show that the subject
qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by
GRuban 20 months ago.
|
Submission declined on 25 June 2022 by
Stuartyeates (
talk). This draft's references do not show that the subject
qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by
Stuartyeates 2 years ago.
|
Submission declined on 27 May 2022 by
KylieTastic (
talk). This draft's references do not show that the subject
qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by
KylieTastic 2 years ago.
|
Original author(s) | Colin Curtain |
---|---|
Stable release | 3.3
/ 18 May 2023 |
Written in | Python |
Operating system | Windows, macOS, Linux |
License | MIT License |
Website | https://github.com/ccbogel/QualCoder |
QualCoder is a free open-source, qualitative data analysis software created by Colin Curtain in January 2019. [1] It allows for qualitative data analysis of text, images, audio, and video. QualCoder is based on Python programming language and is compatible with Windows, macOS, and Linux. It is inspired by and draws from the RQDA R package. [2] [3]
QualCoder has been discussed in the American Journal of Qualitative Research, [4] and has been recognized in university libraries.
QualCoder is sometimes described as Python alternative to RQDA, however, it provides more options related to image, audio, and video analysis. [5] It allows for the construction of semantic networks of codes and categories that have emerged in the analysis. Technically, the codes and categories constitute ‘nodes’ of the semantic network insofar as these two circumstances occur:
a. The same codes are used to ‘mark’ different interview pieces;
b. Different codes are used to mark the same pieces of interview." [6]
The QualCoder functionalities include, e.g. [7] [2] [8] [9] [4]
QualCoder uses the SQLite data structure. [10] It implemented exportation and importation of codebook through the REFI-QDA format. [11] It also implemented export and import of whole research project through this format, however, it was not fully tested. [7] It also supports manipulations to the graph and export the Results matrix.
QualCoder was used in a number of research published in peer-reviewed journals, including research on Functional Communities, [12] mental health services, [13] English language learners’ communicative repertoires, [14] populist discourse, [15] and pharmacists experience. [16] It is also used in the developing of master's theses [17] [18] [19] [20] and PhD dissertations. [21] [22]
Strengths of QualCoder include that it is free to use and therefore available to researchers with limited funding, while still being more advanced in functionality compared to other free open-source CAQDAS such as Taguette. A weakness is the lack of online collaboration options since QualCoder is only available as a desktop application. [4]
-
in-depth (not just passing mentions about the subject)
-
reliable
-
secondary
-
independent of the subject
Make sure you add references that meet these criteria before resubmitting. Learn about mistakes to avoid when addressing this issue. If no additional references exist, the subject is not suitable for Wikipedia.