QualiBuddy: an online tool to improve research skills in qualitative data analysis

2017 ◽  
Vol 17 (4) ◽  
pp. 306-318 ◽  
Author(s):  
Evelyne Mertens ◽  
Ann Heylighen ◽  
Anja Declercq ◽  
Karin Hannes ◽  
Fred Truyen ◽  
...  

Purpose Novice researchers experience difficulties in analysing qualitative data. To develop the skills necessary for qualitative data analysis, theoretical manuals are often insufficient. Supervisors supporting students in analysing qualitative data stress the need for practical guidance, including exercises and feedback. The purpose of this paper is to present and discuss QualiBuddy, an interactive online support tool in answer to this need. Design/methodology/approach An online support tool was developed in answer to existing problems regarding analysing qualitative data. The tool provides a learning trajectory of 11 stages of analysis, which all contain examples, exercises, feedback, verification questions and questions for reflection. This tool is developed from a multidisciplinary perspective and is constructed around various steps. During the development process, internal feedback from the members of the project team, as well as external feedback from an international steering group with experts in qualitative research were taken into account. Findings The tool QualiBuddy is based on an empirically and theoretically grounded approach to qualitative data analyses. Pilot tests with experienced qualitative researchers suggest that the tool potentially allows novice researchers from various domains to develop and improve their skills in conceptualising interview data, specifically within a grounded theory approach. Originality/value QualiBuddy is a newly developed interactive online education tool based on and complementary to existing guides for qualitative data analysis.

Author(s):  
Jason P. Williams ◽  
Farzan Sasangohar ◽  
S. Camille Peres ◽  
Alec Smith ◽  
M. Sam Mannan

Socio-technical systems, such as those in oil and gas, or the petrochemical and energy industries, are escalating in complexity, a consequence of increasingly advanced technologies, organizational constructs, and business functions that interact and depend on one another. These dynamic social and technological elements, coupled with the high risk inherent in these systems, have generated conditions that can bring about catastrophic failure and the tragic loss of human life, such as the disaster in Bhopal, India (1984) or the explosion in the Houston Ship Channel near Pasadena, Texas (1989). Historically, the perception of such complexities and the struggle to minimize catastrophic failures observed within the petrochemical industry have been attributed to the inherent variability in people. Therefore, process safety regulations associated with the Clean Air Act Amendments of 1990 and the Occupational Safety and Health Administration (OSHA) require employers to develop written process safety information or “procedures” which aim for consistency in plant operations and to help workers at the “sharp-end” of the system cope with unexpected events (OSHA, 2000). However, investigation reports since, such as the BP Texas City incident of 2005, suggest “outdated and ineffective procedures” as significant contributing factors to failure. Evidence from other studies suggest that procedures in complex environments are sometimes misunderstood, outdated, or simply not used (Bullemer & Hajdukiewicz, 2004). While there have been studies on procedural deviations and safety violations (Alper & Karsh, 2009; Jamison & Miller, 2000), employers continue to report a high rate of procedural breakdown as root causes for incidents (Bates & Holroyd, 2012). This warrants a contemporary, systems-oriented inquiry into process safety and behavior surrounding the use of the documents at different individual (e.g. cognitive), task, cultural, organizational, and environmental levels. This perspective appreciates the interdependent nature of these interrelated socio-technical elements and should provide insight into the effectiveness of current procedure systems, thereby informing future work in creating and empirically testing mitigation methods to address potential barriers. This research documents one part of a three part, large-scale project that investigates the issues with procedure forms, usage, adoption, and challenges in a wide range of high-risk industries. As such, the method was framed around first understanding the extent to which these challenges could be generalized between various locations. A grounded theory approach in qualitative data analysis, influenced by the Strauss & Corbin and Charmaz approaches (Bryman 2015) and facilitated by the analysis software MAXQDA-12 was used to examine 72 semi-structured interviews with operators of varying roles and experiences across 6 countries and an offshore drilling vessel. Findings reaffirm previous research, suggesting that the effectiveness of written procedures is limited by an abundance of outdated procedures plagued by information overload. New findings suggest that frequency of the task and the experience level of the worker would impact workers’ procedure use, with participants commenting that the perceived importance of these documents decreases significantly after initial training periods. Other unintended consequences associated with written procedural systems range from complications in using the documents around personal protective equipment (PPE) requirements and harsh weather, reactive organizational behavior surrounding changing procedures, and a general disconnect between the users and the writers of these documents. This is only exacerbated as management imposes pressure to use procedures on personnel despite the issues encountered with the documents, inhibiting valuable feedback within their organizations as personnel withhold information for fear of job security and potential punishment (in the form of 20-day suspension programs or termination). Moving forward, research is in-progress to identify the interdependencies between environmental, cultural, organizational, task, and personal factors unique to each location. This will provide insight regarding the extent to which procedures may not be generalized, after which a holistic view of procedure use in the industry will be offered. The resulting insight will point to recommendations for the future redesign of procedures’ role in promoting safe operations within petrochemical systems. Finally, the third part of this research project will demonstrate the efficacy of using visualizations as tools and methods in qualitative research for modeling complexity in socio- technical systems.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Minwoo Lee

Purpose Information and communication technologies have been widely implemented and made radical changes for several decades in the hospitality and tourism industry. This rapid development also generates considerable data in social media. This trend opens the door to analyze unstructured data and gain increased attention of a qualitative research approach from hospitality and tourism researchers and industry professionals. Therefore, this paper aims to describe how a computer-assisted qualitative data analysis (CAQDA) approach can be used in the hospitality and tourism technology literature to uncover the trends and thematic concepts of hospitality and tourism technology research and their dynamics in Journal of Hospitality and Tourism Technology (JHTT) Design/methodology/approach To achieve the proposed research goals, the current study used CAQDA software, Leximancer, to analyze 218 articles published in JHTT between Volume 1(1) in 2010 and Volume 10(4) in 2019. Based on the rigorous CAQDA processes, the study performed the thematic analysis using all articles and subgroup analyses in the five-year periods. Findings Using CAQDA, the study reveals the critical research trends and insights on hospitality and tourism technology for 10 years in the JHTT. The findings of this study can provide strong evidence of what hospitality and tourism technology research topics have been examined and how these topics were connected and changed over time. More importantly, the current study illustrates how the CAQDA approach can be applied to uncover the hidden trends and thematic concepts from text data in the hospitality and tourism literature. Originality/value This study is the first attempt to apply CAQDA software to identify research trends and thematic concepts and gain insights from past JHTT’s articles. Moreover, this study applies this software to describe how hospitality and tourism researchers can use one of the modern computer-assisted qualitative techniques. Based on the findings of this study, theoretical and methodological implications for hospitality and tourism researchers are provided. More importantly, the current study presents the specific guidelines of how the CAQDA approach can be used for the literature review.


2020 ◽  
Vol 27 (2) ◽  
pp. 505-530
Author(s):  
Hendi Yogi Prabowo

Purpose The purpose of this paper is to explore the potential of computer-assisted qualitative data analysis software (CAQDAS) to support qualitative evaluation of corruption prevention initiatives, especially those focusing on behavioral changes. To achieve this objective, this paper applies the principles of qualitative inquiries to establish a foundation for developing effective means for evaluating behavior-oriented corruption prevention initiatives in Indonesia. Design/methodology/approach Through exploratory study, this paper assesses current corruption prevention evaluation practice in the Indonesian public sector to highlight major deficiencies thereof primarily through examination of publicly available documents on anti-corruption practice in Indonesia. Furthermore, this paper also discusses how qualitative methods using CAQDAS may strengthen the existing anti-corruption regime by aiding decision-makers to better evaluate the success or failure of their corruption prevention initiatives in particular those aiming for behavioral changes. To illustrate how a qualitative data analysis application can support anti-corruption evaluators, NVivo will be used as a reference from which multiple analytical tools will be discussed to highlight their potential for qualitative qualitative analysis analysis in corruption prevention evaluation. Findings The author establishes that the existing quantitative measures of evaluation are insufficient in generating a comprehensive picture of the success or failure of the existing anti-corruption initiatives in Indonesia. Evidences suggest that the existing quantitative measures appear to be unable to cope with the growing complexity of various corruption problems in the country in particular to those related to organizational culture and behavior. Despite the numerous behavior-oriented initiatives to reduce the risk of corruption in the Indonesia public sector, it is still unclear if such initiatives actually have made a difference in preventing corruption, as many of their elements cannot be measured quantitatively. Therefore, the author believe that deeper insights into corruption problems can be obtained through proper qualitative assessments in which evaluators play the role as the primary analytical instrument. To enhance evaluators’ capability in obtaining and analyzing qualitative data, the author proposes the use of CAQDAS and the evaluation of corruption prevention initiatives. With a special reference to NVivo, the author argues that using CAQDAS will enable evaluators to conduct qualitative analysis more efficiently to identify patterns within the data, as it offers various tools to look deeper into context, diversity, nuance and process so as to gain deeper understanding of the meaning of human action and how it may affect the risk of corruption within organizations. Research limitations/implications This study is self-funded and is relying primarily on documentary analysis in assessing the existing corruption prevention evaluation measures in Indonesia. Future studies may benefit from in-depth interviews with anti-corruption evaluators in particular from the country’s anti-corruption agency. Practical implications This paper contributes to the development of corruption prevention strategy by proposing a framework for systematically performing qualitative evaluation on behavior-oriented corruption prevention initiatives. Originality/value This paper highlights the importance of qualitative measures in evaluating behavior-oriented corruption prevention initiatives in the Indonesian public sector.


2015 ◽  
Vol 15 (2) ◽  
pp. 135-146 ◽  
Author(s):  
Vinh To ◽  
Quynh Lê ◽  
Thao Lê

Purpose – The purpose of this paper is to discuss the usefulness of Halliday’s linguistic theory known as Systemic Functional Linguistics (SFL) in analysing qualitative data. In order to do this, it initially presents an overview of SFL, and then explains how and why four linguistic features namely, nominalisation, grammatical metaphor, thematic structure and lexical density are useful in examining qualitative data. The paper also discusses three social metafunctions of language known as the ideational, the interpersonal and the textual metafunctions which are significant for understanding and interpreting texts. Design/methodology/approach – This paper employs SFL as the main theoretical framework to discussing the usefulness of this linguistics theory in qualitative data analysis. Findings – SFL can be seen as a paradigm shift in linguistic theory moving away from the traditional focus on syntax to the inclusion of the interface between language and pragmatics. The focus of SFL is language in use. It deals with texts in social contexts, which is the main focus in qualitative data analysis. Thus, SFL provides both research tools and theoretical insights for understanding and interpreting texts. Originality/value – This paper provides significant insights into language which are crucial for understanding and interpreting texts in social contexts.


2018 ◽  
Vol 2 (2) ◽  
pp. 210-220
Author(s):  
Wendelinus Oscar Janggo ◽  
Yuliana Wisnawati Nona Nungsi

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.


2016 ◽  
Vol 20 (1) ◽  
pp. 23-48 ◽  
Author(s):  
Dinesh Rathi ◽  
Lisa M. Given ◽  
Eric Forcier

Purpose – This paper aims to present findings from a study of non-profit organizations (NPOs), including a model of knowledge needs that can be applied by practitioners and scholars to further develop the NPO sector. Design/methodology/approach – A survey was conducted with NPOs operating in Canada and Australia. An analysis of survey responses identified the different types of knowledge essential for each organization. Respondents identified the importance of three pre-determined themes (quantitative data) related to knowledge needs, as well as a fourth option, which was a free text box (qualitative data). The quantitative and qualitative data were analyzed using descriptive statistical analyses and a grounded theory approach, respectively. Findings – Analysis of the quantitative data indicates that NPOs ' needs are comparable in both countries. Analysis of qualitative data identified five major categories and multiple sub-categories representing the types of knowledge needs of NPOs. Major categories are knowledge about management and organizational practices, knowledge about resources, community knowledge, sectoral knowledge and situated knowledge. The paper discusses the results using semantic proximity and presents an emergent, evidence-based knowledge management (KM)-NPO model. Originality/value – The findings contribute to the growing body of literature in the KM domain, and in the understudied research domain related to the knowledge needs and experiences of NPOs. NPOs will find the identified categories and sub-categories useful to undertake KM initiatives within their individual organizations. The study is also unique, as it includes data from two countries, Canada and Australia.


1993 ◽  
Vol 19 (3) ◽  
pp. 637-660 ◽  
Author(s):  
Richard A. Wolfe ◽  
Robert P. Gephart ◽  
Thomas E. Johnson

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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