Qualitative Data Archiving: Rewards and Challenges

2010 ◽  
Vol 43 (01) ◽  
pp. 23-27 ◽  
Author(s):  
Colin Elman ◽  
Diana Kapiszewski ◽  
Lorena Vinuela

Political science has witnessed a renaissance in qualitative research methods (Bennett and Elman 2006). Over the last 15 years, the canon has been reworked to systematize and expand the repertoire of qualitative methods, ground them more firmly in contemporary philosophy of science, and illuminate their strengths relative to quantitative and formal methods (Bennett and Elman 2007). A rapidly expanding body of political science research now employs qualitative and multi-method analysis, and institutions dedicated to qualitative and multi-method research have flourished.

Author(s):  
Joanna Gajda

 In response to the assumptions of new public management models and public or good governance, practical aspects of research in the area of public admin­istration and the development possibilities of qualitative research methods are presented in the article. Due to the fact that qualitative research has become increasingly popular in the above disciplines, data archiving and trans­parency is discussed (Moravcsik), (Yom et al.) and guidelines and principles are established (American Political Science Association). However, there is a lot of controversy among scholars (Monroe), and some examples are missing. This paper presents the challenge of ‘openness’ in the empirical activities (or empirical practice) of researchers. Its purpose is to present the archiving data potential from in-depth interviews on the example of a small set of qualitative data from research in the field of public administration. Firstly, the basic assumptions of new models of functioning of public administration and related consequences for researchers are described. In the second part, the challenges related to openness in contemporary public administration models are briefly mentioned. Next, the method of creating an archive from existing data, individual stages, documents, and data is outlined; it is based on the au­thor’s best practice on Qualidata (American Political Science Association; Van den Eynden et al.) and DA-RT principles.1 The summary includes examples of probable opportunities and challenges related to usage of data archiving for the research in public administration and political science development.


2021 ◽  
Vol 3 (3) ◽  
pp. 362-377
Author(s):  
Nurhadi Kastamin ◽  
Maemunah Sa’diyah

  The purpose of this study is to describe how the implementation of Total Quality Management (TQM) at SDI Sabilina, Cibur, Bekasi. In this study, the author uses descriptive qualitative methods, namely research methods that utilize qualitative data and are described descriptively. Data was collected using in-depth interviews, observation, and documentation methods. The research was conducted on Wednesday, June 09, 2021, at SDI Sabilina from 13.00-16.00. Checking the validity of the data is carried out through member checks, namely the process of checking data carried out by researchers to research subjects or resource persons, and discussions with colleagues.  


2019 ◽  
Vol 53 (2) ◽  
pp. 258-264
Author(s):  
Cassandra V. Emmons ◽  
Andrew M. Moravcsik

ABSTRACTMost political scientists conduct and publish qualitative research, but what training in qualitative methods do political science doctoral programs offer? Do scholarly views converge on the proper content of such training? Analysis of methods curricula and syllabi from 25 leading US political science doctoral programs reveals a troubling gap: only 60% of top departments offer any dedicated graduate training in qualitative methods. Departments can remedy this disjuncture between scholarship and training by enhancing their basic qualitative methods curricula. Our research shows that scholars agree broadly on the content of such training, effective pedagogical practices, major alternatives for curriculum design, and a menu of focused topics. Graduate programs that aspire to train professionally competent qualitative and multi-method researchers now can orient their reform efforts on shared disciplinary standards for qualitative methods training.


2003 ◽  
Vol 2 (1) ◽  
pp. 39-51 ◽  
Author(s):  
Steven Miller ◽  
Marcel Fredericks

The article is an attempt to show that a continuing issue in qualitative research methods is describing and justifying how qualitative data become “evidence” for a claim. Several models from the field of Confirmation Theory are developed and described within the context of a qualitative research example. It is argued that for the qualitative research case, the meaning and application of what constitutes evidence is best viewed in terms of a primary logical distinction.


Author(s):  
Steven Krauss

An introduction and explanation of the epistemological differences of quantitative and qualitative research paradigms is first provided, followed by an overview of the realist philosophical paradigm, which attempts to accommodate the two. From this foundational discussion, the paper then introduces the concept of meaning ma king in research methods and looks at how meaning is generated from qualitative data analysis specifically. Finally, some examples from the literature of how meaning can be constructed and organized using a qualitative data analysis approach are provided. The paper aims to provide an introduction to research methodologies, coupled with a discussion on how meaning making actually occurs through qualitative data analysis.


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