The QDAcity-RE method for structural domain modeling using qualitative data analysis

2017 ◽  
Vol 24 (1) ◽  
pp. 85-102 ◽  
Author(s):  
Andreas Kaufmann ◽  
Dirk Riehle
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Structural Domain ◽  
Domain Modeling ◽  
Qualitative Data Analysis

scholarly journals A validation of QDAcity-RE for domain modeling using qualitative data analysis

2021 ◽  
Author(s):  
Andreas Kaufmann ◽  
Julia Krause ◽  
Nikolay Harutyunyan ◽  
Ann Barcomb ◽  
Dirk Riehle
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Single Case ◽  
Empirical Evaluation ◽  
Controlled Experiment ◽  
Initial Assessment ◽  
Great Promise ◽  
Control Group ◽  
Domain Modeling ◽  
Qualitative Data Analysis

AbstractUsing qualitative data analysis (QDA) to perform domain analysis and modeling has shown great promise. Yet, the evaluation of such approaches has been limited to single-case case studies. While these exploratory cases are valuable for an initial assessment, the evaluation of the efficacy of QDA to solve the suggested problems is restricted by the common single-case case study research design. Using our own method, called QDAcity-RE, as the example, we present an in-depth empirical evaluation of employing qualitative data analysis for domain modeling using a controlled experiment design. Our controlled experiment shows that the QDA-based method leads to a deeper and richer set of domain concepts discovered from the data, while also being more time efficient than the control group using a comparable non-QDA-based method with the same level of traceability.

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.

Using Computers for Qualitative Data Analysis: An example using NUD.IST

2003 ◽  
Vol 27 (1) ◽  
pp. 113-120 ◽  
Author(s):  
Bettina Van Hoven ◽  
Anneriek Poelman
Keyword(s):  
Data Analysis ◽  
Qualitative Data ◽  
Qualitative Data Analysis
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