Using a source–receptor approach to characterise VOC behaviour in a French urban area influenced by industrial emissions Part I: Study area description, data set acquisition and qualitative data analysis of the data set

2008 ◽  
Vol 389 (2-3) ◽  
pp. 441-452 ◽  
Author(s):  
Caroline Badol ◽  
Nadine Locoge ◽  
Thierry Léonardis ◽  
Jean-Claude Galloo
Keyword(s):  
Data Analysis ◽  
Urban Area ◽  
Qualitative Data ◽  
Industrial Emissions ◽  
Qualitative Data Analysis ◽  
Data Set

scholarly journals Introduction to Special Issue: Diverse Approaches to Qualitative Data Analysis for Applied Research

2021 ◽  
Author(s):  
Jessica Lester ◽  
Noah Goodman ◽  
Michelle O'Reilly
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Qualitative Analysis ◽  
Qualitative Data ◽  
Applied Research ◽  
Special Issue ◽  
Qualitative Data Analysis ◽  
Data Set ◽  
Shared Data ◽  
Qualitative Approaches

This article introduces the special issue, “Diverse Approaches to Qualitative Data Analysis for Applied Research,” in which seven papers analyze one shared data set to illustrate different approaches to qualitative analysis. In addition to discussing the articles included in the special issue, this introduction provides an overview of applied research—highlighting some of the implications for qualitative research—and discusses how researchers could use the special issue to compare different qualitative approaches to choose one most appropriate for a given project’s goals.

Considering Abductive Thematic Network Analysis with ATLAS-ti 6.2

2013 ◽  
pp. 170-186 ◽  
Author(s):  
Komalsingh Rambaree ◽  
Elisabeth Faxelid
Keyword(s):  
Data Analysis ◽  
Network Analysis ◽  
Qualitative Data ◽  
Social Research ◽  
Qualitative Data Analysis ◽  
Data Set ◽  
Media Technologies ◽  
Rigorous Approach ◽  
Computer Aided ◽  
Thematic Network Analysis

Social research carried out through the use of new media technologies can generate large volumes of qualitative data. A systematic and rigorous approach is therefore important in analysing large volumes of qualitative data. Computer-aided qualitative data analysis programmes—such as Atlas-ti 6.2—have managed to facilitate the process of data analysis, to some extent. However, researchers remain central in designing and deciding how the qualitative data gathered as evidence from the field are to be analysed, interpreted, and presented. Within this context, this chapter aims to consider Abductive Thematic Network Analysis (ATNA) with Atlas-ti 6.2 as a systematic way of carrying out qualitative data analysis. A data set from a study on Adolescent Sexual and Reproductive Health is used as an example for facilitating the explanation on the steps in carrying out, and for providing an illustration of the outcome of, ATNA. The objectives of this chapter are to make a brief presentation of abductive approach to social research, describe ATNA, and demonstrate the techniques for such an analysis using Atlas-ti 6.2. The chapter concludes that ATNA can be a useful systematic way to proceed with qualitative data analysis that can be facilitated by the use of Atlas-ti 6.2.

scholarly journals Exploratory Geovisualizations for Supporting the Qualitative Analysis and Synthesis of Place-Related Emotion Data

2019 ◽  
Author(s):  
Susanne Bleisch ◽  
Daria Hollenstein
Keyword(s):  
Data Analysis ◽  
Qualitative Analysis ◽  
Data Model ◽  
Qualitative Data ◽  
Elderly Women ◽  
Qualitative Data Analysis ◽  
Data Set ◽  
Personal Significance ◽  
Generic Data ◽  
Generic Data Model

Locations become places through personal significance and experience. While place data are not emotion data, per se, personal significance and experience are often emotional. In this paper, we explore the potential of using visual data exploration to support the qualitative analysis of place-related emotion data. To do so, we draw upon Creswell’s (2009) definition of place to define a generic data model that contains emotion data for a given location and its locale. For each data dimension in our model, we present symbolization options that can be combined to create a range of interactive visualizations, specifically supporting re-expression. We discuss the usefulness of example visualizations, created based on a data set from a pilot study on how elderly women experience their neighborhood. We find that the visualizations support four broad qualitative data analysis tasks: revising categorizations, making connections and relationships, aggregating for synthesis, and corroborating evidence by combining sense of place with locale information to support a holistic interpretation of place data. In conclusion, the paper contributes to the literature in three ways. It provides a generic data model and associated symbolization options, and uses examples to show how place-related emotion data can be visualized. Further, the example visualizations make explicit how re-expression, the combination of emotion data with locale information, and visualization of vagueness and linked data support the analysis of emotion data. Finally, we advocate for visualization-supported qualitative data analysis in interdisciplinary teams so that more suitable maps are used and so that cartographers can better understand and support qualitative data analysis.

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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