scholarly journals WordCommentsAnalyzer: A windows software tool for qualitative research

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 536
Author(s):  
Ehsan Abdekhodaie ◽  
Javad Hatami ◽  
Hadi Bahrami Ehsan ◽  
Reza Kormi-Nouri
Keyword(s):  
Data Analysis ◽  
Open Source Software ◽  
Word Processing ◽  
Qualitative Data ◽  
Software Tool ◽  
Free Software ◽  
Qualitative Data Analysis ◽  
Qualitative Researcher ◽  
Microsoft Word ◽  
Net Framework

There is a lack of free software that provides a professional and smooth experience in text editing and markup for qualitative data analysis. Word processing software like Microsoft Word provides a good editing experience, allowing the researcher to effortlessly add comments to text portions. However, organizing the keywords and categories in the comments can become a more difficult task when the amount of data increases. We present WordCommentsAnalyzer, a software tool that is written in C# using .NET Framework and OpenXml, which helps a qualitative researcher to organize codes when using Microsoft Word as the primary text markup software. WordCommentsAnalyzer provides an effective user interface to count codes, to organize codes in a code hierarchy, and to see various data extracts belonging to each code. We illustrate how to use the software by conducting a preliminary content analysis on Tweets with the #successfulaging hashtag. We hope this open-source software will facilitate qualitative data analysis by researchers who are interested in using Word for this purpose.

scholarly journals WordCommentsAnalyzer: A windows software tool for qualitative research

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 536 ◽  
Author(s):  
Ehsan Abdekhodaie ◽  
Javad Hatami ◽  
Hadi Bahrami Ehsan ◽  
Reza Kormi-Nouri
Keyword(s):  
Data Analysis ◽  
Open Source Software ◽  
Word Processing ◽  
Qualitative Data ◽  
Software Tool ◽  
Qualitative Data Analysis ◽  
Qualitative Researcher ◽  
Microsoft Word ◽  
Visualization Tools ◽  
Net Framework

There is a lack of free software that provides a professional and smooth experience in text editing and markup for qualitative data analysis. Word processing software like Microsoft Word provides a good editing experience, allowing the researcher to effortlessly add comments to text portions. However, organizing the keywords and categories in the comments can become a more difficult task when the amount of data increases. We present WordCommentsAnalyzer, a software tool that is written in C# using .NET Framework and OpenXml, which helps a qualitative researcher to organize codes when using Microsoft Word as the primary text markup software. WordCommentsAnalyzer provides an effective user interface to count codes, to organize codes in a code hierarchy, and to see various data extracts belonging to each code. It also offers basic visualization tools. We illustrate how to use this software by conducting a preliminary content analysis on Tweets with the #successfulaging hashtag. We also demonstrate that the software has satisfactory performance on a large dataset of Iranian journals abstracts. We hope this open-source software will facilitate qualitative data analysis by researchers who are interested in using Word for this purpose.

scholarly journals Data Analysis Methods for Qualitative Research: Managing the Challenges of Coding, Interrater Reliability, and Thematic Analysis

2018 ◽  
Author(s):  
Michael Belotto
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Thematic Analysis ◽  
Interrater Reliability ◽  
Qualitative Data ◽  
Sources Of Information ◽  
Qualitative Data Analysis ◽  
Qualitative Researcher ◽  
First Time ◽  
Data Analysis Methods

The purpose of this article is to provide an overview of some of the principles of data analysis used in qualitative research such as coding, interrater reliability, and thematic analysis. I focused on the challenges that I experienced as a first-time qualitative researcher during the course of my dissertation, in the hope that how I addressed those difficulties will better prepare other investigators planning endeavors into this area of research. One of the first challenges I encountered was the dearth of information regarding the details of qualitative data analysis. While my text books explained the general philosophies of the interpretive tradition and its theoretical groundings, I found few published studies where authors actually explained the details pertaining to exactly how they arrived at their findings. Some authors even confirmed my own experience that few published studies described processes such as coding and methods to evaluate interrater reliability. Herein, I share the sources of information that I did find and the methods that I used to address these challenges. I also discuss issues of trustworthiness and how matters of objectivity and reliability can be addressed within the naturalistic paradigm.

THE EFFECTIVENESS OF USING COOPERATIVE SCRIPT METHOD TO IMPROVE STUDENTS’ READING COMPREHENSION ON RECOUNT TEXT OF 8th GRADE STUDENTS OF SMP N KEWAPANTE, MAUMERE IN ACADEMIC YEAR 2017/ 2018

2018 ◽  
Vol 2 (2) ◽  
pp. 210-220
Author(s):  
Wendelinus Oscar Janggo ◽  
Yuliana Wisnawati Nona Nungsi
Keyword(s):  
Reading Comprehension ◽  
Data Analysis ◽  
Experimental Research ◽  
Qualitative Data ◽  
Qualitative Data Analysis ◽  
Quantitative Data Analysis ◽  
8Th Grade ◽  
Eighth Grade Students ◽  
Quasi Experimental ◽  
Academic Year

This research is entitled “The Effectiveness of Using Cooperative Script Method to Improve Students’ Reading Comprehension on Recount Text of 8th Grade Students of SMP N Kewapante, Maumere in Academic Year 2017/ 2018”. The objective of this research is to investigate and to find out whether the use of cooperative script method effective to improve students’ reading comprehension on recount text. The method of this research is experimental research especially quasi experimental research. In analyzing the data, the researcher combined both quantitative and qualitative data analysis. In qualitative data analysis, the researcher used interview technique in order to get information about students’ perceptions in reading, while in quantitative data analysis, the researcher used SPSS version 16. The result of the research showed that the implementation of Cooperative Script Method in experimental class was more effective to help the students in reading comprehension on recount text compared to the use of the conventional method in control class of the eighth grade students of SMP N Kewapante, Maumere. It is also found that cooperative script method positively contributed to improve students’ reading comprehension. Therefore ,the researcher  suggests the teachers to use cooperative script method in order to improve students reading comprehension Additionally, cooperative script method can also motivate students to be more active, relax and enthusiastic to comprehend reading texts.

Computer-facilitated Qualitative Data Analysis: Potential Contributions to Management Research

1993 ◽  
Vol 19 (3) ◽  
pp. 637-660 ◽  
Author(s):  
Richard A. Wolfe ◽  
Robert P. Gephart ◽  
Thomas E. Johnson
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Management Research ◽  
Qualitative Data Analysis ◽  
Current State ◽  
Management Literature ◽  
Software Programs ◽  
Effective Use

The development of software programs designed to facilitate qualitative data analysis has proltferated recently. Despite their potential to contribute much to management research, very little concerning the use of such programs has appeared in the management literature. The purpose of this paper is to review the current state of computer-facilitated qualitative data analysis [CQDA] in order to contribute to its effective use by management researchers. In an effort to achieve this purpose we discuss why CQDA programs are proliferating, describe the potential of such programs to contribute to management research, address program capabilities and features, describe CQDA applications in management research, and review issues researchers should be aware of in considering the use of C&DA.

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