scholarly journals Using Clustering as a Tool: Mixed Methods in Qualitative Data Analysis

2015 ◽  
Author(s):  
Laura Macia
Keyword(s):  
Cluster Analysis ◽  
Mixed Methods ◽  
Data Analysis ◽  
Qualitative Data ◽  
Similarity Measures ◽  
Cluster Solution ◽  
Clustering Methods ◽  
Qualitative Data Analysis ◽  
Research Project ◽  
Detailed Explanation

In this article I discuss cluster analysis as an exploratory tool to support the identification of associations within qualitative data. While not appropriate for all qualitative projects, cluster analysis can be particularly helpful in identifying patterns where numerous cases are studied. I use as illustration a research project on Latino grievances to offer a detailed explanation of the main steps in cluster analysis, providing specific considerations for its use with qualitative data. I specifically describe the issues of data transformation, the choice of clustering methods and similarity measures, the identification of a cluster solution, and the interpretation of the data in a qualitative context.

scholarly journals The Use and Value of Mixed Methods Research in Social Work

10.18060/1858 ◽  
2013 ◽  
Vol 14 (2) ◽  
pp. 307-333 ◽  
Author(s):  
Josphine Chaumba
Keyword(s):  
Social Work ◽  
Mixed Methods ◽  
Data Analysis ◽  
Mixed Methods Research ◽  
Qualitative Data ◽  
Analysis Method ◽  
Qualitative Data Analysis ◽  
Social Work Research ◽  
Data Analysis Method ◽  
The Social

The complexity of social problems addressed by the social work profession makes mixed methods research an essential tool. This literature review examined common quantitative and qualitative techniques used by social work researchers and what mixed methods research may add to social work research. Surveys and in-depth interviews were the most common quantitative and qualitative data collection methods, respectively. The t-test was the most frequently used quantitative data analysis method. Although thematic analysis was the most common qualitative data analysis method, 12% of the qualitative data analysis techniques were not specified. Mixed methods research adds three important elements to social work research: voices of participants, comprehensive analyses of phenomena, and enhanced validity of findings. For these reasons, the teaching and use of mixed methods research remain integral to social work.

scholarly journals Handling the Qualitative Side of Mixed Methods Research: A Multisite, Team-Based High School Education Evaluation Study

2018 ◽  
Author(s):  
Terri L. Dempsey
Keyword(s):  
High School ◽  
Mixed Methods ◽  
Data Analysis ◽  
Research Team ◽  
Qualitative Data ◽  
Evaluation Study ◽  
School Education ◽  
High School Education ◽  
Qualitative Data Analysis ◽  
High Quality

Attention to mixed methods studies research has increased in recent years, particularly among funding agencies that increasingly require a mixed methods approach for program evaluation. At the same time, researchers operating within large-scale, rapid-turnaround research projects are faced with the reality that collection and analysis of large amounts of qualitative data typically require an intense amount of project resources and time. However, practical examples of efficiently collecting and handling high-quality qualitative data within these studies are limited. More examples are also needed of procedures for integrating the qualitative and quantitative strands of a study from design to interpretation in ways that can facilitate efficiencies. This paper provides a detailed description of the strategies used to collect and analyze qualitative data in what the research team believed to be an efficient, high-quality way within a team-based mixed methods evaluation study of science, technology, engineering, and math (STEM) high-school education. The research team employed an iterative approach to qualitative data analysis that combined matrix analyses with Microsoft Excel and the qualitative data analysis software program ATLAS.ti. This approach yielded a number of practical benefits. Selected preliminary results illustrate how this approach can simplify analysis and facilitate data integration.

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.

Sign in / Sign up

Export Citation Format

Share Document