Using Computational Techniques to Fill the Gap between Qualitative Data Analysis and Text Analytics

KWALON ◽  
2010 ◽  
Vol 15 (3) ◽  
Author(s):  
Curtis Atkisson ◽  
Colin Monaghan ◽  
Edward Brent
Keyword(s):  
Data Analysis ◽  
Literature Review ◽  
Qualitative Data ◽  
Computational Techniques ◽  
Text Analytics ◽  
Qualitative Data Analysis

The authors would like to thank both Martine van Selm and Jan Kleinnijenhuis for their thoughtful comments regarding our paper. They each raise a number of interesting points. The comments focus broadly on three areas, and we will structure our response around those three areas. We will first address comments on the literature review, then the Veyor system and finally, comments on the analysis itself.

Using Computational Techniques to Fill the Gap between Qualitative Data Analysis and Text Analytics

KWALON ◽  
2010 ◽  
Vol 15 (3) ◽  
Author(s):  
Curtis Atkisson ◽  
Colin Monaghan ◽  
Edward Brent
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Computational Techniques ◽  
Text Analytics ◽  
Qualitative Data Analysis ◽  
Text Data ◽  
Textual Data ◽  
Data Flows ◽  
Mass Digitization ◽  
Analysis System

The recent mass digitization of text data has led to a need to efficiently and effectively deal with the mountain of textual data that is generated. Digitized text is increasingly in the form of digitized data flows (Brent, 2008). Digitized data flows are non-static streams of generated content – including twitter, electronic news, etc. An oft-cited statistic is that currently 85% of all business data is in the form of text (cited in Hotho, Nürnberger & Paass, 2005). This mountain of data leads us to the question whether the labor-intensive traditional qualitative data analysis techniques are best suited for this large amount of data. Other techniques for dealing with large amounts of data may also be found wanting because those techniques remove the researcher from an immersion in the data. Both dealing with large amounts of data and allowing immersion in data are clearly desired features of any text analysis system.

Combining human coding and automated coding in Veyor®

KWALON ◽  
2010 ◽  
Vol 15 (3) ◽  
Author(s):  
Martine van Selm
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Text Mining ◽  
Qualitative Data ◽  
The Internet ◽  
Computational Techniques ◽  
Text Analytics ◽  
Qualitative Data Analysis ◽  
Automated Coding

Atkisson, Monaghan and Brent review in 'Using Computational Techniques to Fill the Gap between Qualitative Data Analysis an Text Analytics' three methods (qualitative data analysis, content analysis and text mining) that are used in order to examine streams of digital textual materials that are increasingly accessible through the Internet.

scholarly journals A Framework for Using Qualitative Comparative Analysis for the Review of the Literature

2017 ◽  
Author(s):  
Anthony Onwuegbuzie ◽  
Rebecca Weinbaum
Keyword(s):  
Data Analysis ◽  
Comparative Analysis ◽  
Literature Review ◽  
Qualitative Data ◽  
Qualitative Comparative Analysis ◽  
Review Of The Literature ◽  
Comparison Analysis ◽  
Qualitative Data Analysis ◽  
Analysis Technique ◽  
Similar Vein

Onwuegbuzie, Leech, and Collins (2012) demonstrated how the following 5 qualitative data analysis approaches can be used to analyze and to synthesize information extracted from a literature review: constant comparison analysis, domain analysis, taxonomic analysis, componential analysis, and theme analysis. In a similar vein, Onwuegbuzie and Frels (2014) outlined how discourse analysis can be used. Thus, the purpose of this article is to provide a framework for using another qualitative data analysis technique to analyze and to interpret literature review sources—a process that we call a Qualitative Comparative Analysis-Based Research Synthesis (QCARS). Using a real review of the literature, we illustrate how to conduct a QCARS using a qualitative comparative analysis software program.

scholarly journals Qualitative Analysis Techniques for the Review of the Literature

2015 ◽  
Author(s):  
Anthony Onwuegbuzie ◽  
Nancy Leech ◽  
Kathleen Collins
Keyword(s):  
Data Analysis ◽  
Literature Review ◽  
Qualitative Data ◽  
Research Synthesis ◽  
Review Of The Literature ◽  
Comparison Analysis ◽  
Qualitative Data Analysis ◽  
Analysis Techniques ◽  
Taxonomic Analysis ◽  
Componential Analysis

In this article, we provide a framework for analyzing and interpreting sources that inform a literature review or, as it is more aptly called, a research synthesis. Specifically, using Leech and Onwuegbuzie’s (2007, 2008) frameworks, we delineate how the following four major source types inform research syntheses: talk, observations, drawings/photographs/videos, and documents. We identify 17 qualitative data analysis techniques that are optimal for analyzing one or more of these source types. Further, we outline the role that the following five qualitative data analysis techniques can play in the research synthesis: constant comparison analysis, domain analysis, taxonomic analysis, componential analysis, and theme analysis. We contend that our framework represents a first step in an attempt to help literature reviewers analyze and interpret literature in an optimally rigorous way.

scholarly journals Analisis Data Kualitatif Dalam Penelitian Pariwisata

2018 ◽  
Author(s):  
Ilham junaid
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Literature Review ◽  
Thematic Analysis ◽  
Qualitative Data ◽  
Qualitative Data Analysis ◽  
Dominant Form ◽  
Tourism Research ◽  
Qualitative Research Methodology ◽  
Rich Data

This paper aims at exploring the definition, characteristics and stages of qualitative data analysis in tourism research. The paper is based on the writer’s experience in implementing qualitative data analysis as well as literature review on qualitative research methodology. Qualitative researchers may deal with different and rich data from qualitative methods. However, many qualitative researchers do not understand how to produce knowledge from qualitative data. For this reason, the result of a qualitative research tends to be descriptive without contributing to the advancement of knowledge. Thematic analysis is considered as a dominant form of analysis in qualitative research. Its stages consist of data reduction, organization and interpretation. Coding is the key for succeeding the qualitative data analysis. Hence, examples of qualitative data analysis in tourism research are provided to give practical stages of how to analyze qualitative data.

scholarly journals Reformasi Pendidikan Islam Berbasis Pesantren Modern

PALAPA ◽  
2017 ◽  
Vol 5 (2) ◽  
pp. 122-137
Author(s):  
Sirajun Nasihin
Keyword(s):  
Data Analysis ◽  
Literature Review ◽  
Education Reform ◽  
Education System ◽  
Qualitative Data ◽  
Islamic Education ◽  
The Internet ◽  
Qualitative Data Analysis ◽  
Laws And Regulations

This paper aims to describe the concepts of Islamic education reform based on modern pesantren both from the perspective of experts and referring to the prevailing laws and regulations. In it the author presents; understanding, pattern, and urgency of Islamic education reform based on modern pesantren with the support of data collected using literature review methods either in the form of books or papers and journals downloaded through the internet. From several views that have been collected, the authors conducted a qualitative data analysis and drew the conclusion that the reform of Islamic education based on modern pesantren in the context of this era is absolutely necessary because this education system that can elaborate between rational intelligence, emotional and spiritual integrally so that it can bear output educational, moral, creative, and always able to put themselves in all situations of the nation without having to change its identity as a muslim Indonesia who berpencasila who can realize national goals as embodied in the opening of the 1945 Constitution.

scholarly journals Using NVivo™ for Literature Reviews: The Eight Step Pedagogy (N7+1)

2018 ◽  
Author(s):  
Maureen O'Neill ◽  
Sarah Booth ◽  
Janeen Lamb
Keyword(s):  
Data Analysis ◽  
Literature Review ◽  
Qualitative Data ◽  
Analysis Software ◽  
Qualitative Data Analysis ◽  
Efficient Manner ◽  
Literature Reviews ◽  
Qualitative Data Analysis Software ◽  
Traditional Approaches ◽  
Data Analysis Software

While a literature review is a necessary milestone to be completed by all researchers in a timely and efficient manner, it is often one of the most difficult aspects of the research journey. Moreover, traditional approaches often leave novice researchers, to struggle with the conceptualisation of their literature review, now complicated by the overwhelming quantity of research available online. This paper presents a rationale the use of Qualitative Data Analysis Software (QDAS) programs for literature reviews. QDAS tools allow the researcher to explore large amounts of textual documents to see patterns. These programs are often overlooked by novice researchers due to their complexity and the lack of expertise provided to assist them. To combat this dilemma our paper outlines the N7+1 approach to using Nvivo11™ for literature reviews. Through this approach researchers can develop an “auditable footprint,” keep everything in one place, and go paperless.

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.

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