Review of Information Theory: Structural Models for Qualitative Data. Series: Quantitative Applications in the Social Sciences, No. 62.

1988 ◽  
Vol 33 (1) ◽  
pp. 84-84
Author(s):  
No authorship indicated
Keyword(s):  
Social Sciences ◽  
Information Theory ◽  
Qualitative Data ◽  
Structural Models ◽  
Data Series ◽  
The Social

Thematic Analysis

2021 ◽  
pp. 283-288
Author(s):  
Jean-Frédéric Morin ◽  
Christian Olsson ◽  
Ece Özlem Atikcan
Keyword(s):  
Social Sciences ◽  
Content Analysis ◽  
Thematic Analysis ◽  
Qualitative Data ◽  
Qualitative Content Analysis ◽  
Analytic Method ◽  
The Social ◽  
Distinct Method

This chapter evaluates thematic analysis (TA), which is one of the oldest and most widely used qualitative analytic method across the social sciences. TA is a flexible method for identifying and analysing patterns of meaning — ‘themes’ — in qualitative data, with wide-ranging applications. The method has a long, if indeterminate, history in the social sciences, but seems likely to have evolved from early forms of (qualitative) content analysis. TA is now more likely to be demarcated and acknowledged as a distinct method; however, confusion remains about what TA is. The popularity of TA as a distinct method received a considerable boost from the publication of Using Thematic Analysis in Psychology by social psychologists Virginia Braun and Victoria Clarke in 2006, which has become one of the most cited academic papers of recent decades.

Information Theory: Structural Models for Qualitative Data

1988 ◽  
Vol 17 (1) ◽  
pp. 125
Author(s):  
Kenneth D. Bailey ◽  
Klaus Krippendorff
Keyword(s):  
Information Theory ◽  
Qualitative Data ◽  
Structural Models

scholarly journals The Information Theory of Comparisons, With Applications to Statistics and the Social Sciences

Technometrics ◽  
2020 ◽  
Vol 62 (2) ◽  
pp. 1-278
Author(s):  
Subir Ghosh
Keyword(s):  
Social Sciences ◽  
Information Theory ◽  
The Social

Entropy, Information and Confusion in the Social Sciences

1987 ◽  
Vol 1 (4) ◽  
pp. 225-242 ◽  
Author(s):  
John L.R. Proops
Keyword(s):  
Social Sciences ◽  
Information Theory ◽  
Heat Flow ◽  
Social Science ◽  
Physical Science ◽  
The Third ◽  
Original Meaning ◽  
Entropy Information ◽  
The Social ◽  
Modern Work

The term “entropy” is now widely used in social science, although its origin is in physical science. There are three main ways in which the term may be used. The first invokes the original meaning, referring to the unidirectionality of heat flow, from hot bodies to cold ones. The second meaning can be derived from the first via statistical mechanics; this meaning is concerned with measures of ‘evenness’ of ‘similarity’. The third meaning derives from information theory. The three distinct meanings are carefully described and distinguished, and their relationships to each other are discussed. The various uses of the three concepts in the social sciences are then reviewed, including some uses which confuse the different meanings of the term. Finally, modern work in thermodynamics is examined, and its implications for economic analysis are briefly assessed.

scholarly journals Linking numbers to perceptions and experiences: Why we need transdisciplinary mixed-methods combining neurophysiological and qualitative data

2017 ◽  
Vol 10 (2) ◽  
pp. 205979911770311 ◽  
Author(s):  
Reginald Deschepper ◽  
Stefaan Six ◽  
Nicole Vandeweghe ◽  
Marijke De Couck ◽  
Yori Gidron ◽  
...  
Keyword(s):  
Social Sciences ◽  
Mixed Methods ◽  
Qualitative Data ◽  
Biomedical Sciences ◽  
Subjective Experiences ◽  
Subjective Data ◽  
Complex Problems ◽  
Linking Numbers ◽  
The Social ◽  
Neurophysiological Data

Today, more and more problems that scientists need to tackle are complex problems. Many examples of these can be found in the health sciences, medicine and ecology. Typical features of complex problems are that they cannot be studied by one discipline and that they need to take into account subjective data as well as objective data. Two promising responses to deal with complex problems are Transdisciplinary and Mixed Method approaches. However, there is still a lacuna to fill, with transdisciplinary studies bridging the social sciences and biomedical sciences. More specifically, we need more and better studies that combine qualitative data about subjective experiences, perception and so on with objective, quantitative, neurophysiological data. We believe that the combination of qualitative and neurophysiological data is a good example of what we would like to call transdisciplinary mixed methods. In this article, we aim to explore the opportunities of transdisciplinary mixed-methods studies in which qualitative and neurophysiological data are used. We give a brief overview of what is characteristic for this kind of studies and illustrate this with examples; we point out strengths and limitations and propose an agenda for the future. We conclude that transdisciplinary mixed-methods studies in which qualitative and neurophysiological data are used have the potential to improve our knowledge about complex problems. A main obstacle seems to be that most scientists from the biomedical sciences are not familiar with the (qualitative) methods from the social sciences and vice versa. To end this ‘clash of paradigms’™, we urgently need to cultivate transdisciplinary thinking.

A Survey of the Discipline of Political Science in Iran

2010 ◽  
Vol 3 (1) ◽  
pp. 104-127
Author(s):  
Maryam Rutner
Keyword(s):  
Social Sciences ◽  
Political Science ◽  
Cultural Revolution ◽  
Qualitative Data ◽  
The Political ◽  
Science Students ◽  
Limited Extent ◽  
The Social ◽  
Survey Results ◽  
University Curricula

AbstractThis survey examines the content and purpose of the political science discipline in respect to seven prominent universities in Iran and its significance for the Iranian society. It is based on quantitative and qualitative data including personal interviews and survey results, as well as theses conducted by political science students, academic articles written by scholars in the field, and university curricula. The survey suggests that Iranian political science after the 1979 revolution addresses contemporary political problems and challenges related to Iran only to a limited extent, and is predominantly theoretical and “borrowed” in nature, despite the goal during the Cultural Revolution to indigenize and Islamicize the social sciences.

scholarly journals Focus Groups

Communication ◽  
2017 ◽  
Author(s):  
Kim Hoffman ◽  
Javier Ponce-Terashima
Keyword(s):  
Social Sciences ◽  
Focus Groups ◽  
Research Method ◽  
Qualitative Method ◽  
Qualitative Data ◽  
Late 20Th Century ◽  
Body Of Knowledge ◽  
The Social ◽  
Wide Range ◽  
Similarities And Differences

Focus groups are a research method using multi-person interviews to generate qualitative data from participants’ interaction. The purpose is to induce conversation between participants to answer questions relevant to the study goals. In contrast to one-on-one interviews that are also widely used in qualitative research, the source of the data is in the “interaction” between participants, including similarities and differences between their experiences, opinions, and perceptions. This helps researchers understand not just what the participants think about a topic, but also why they think that way. Focus groups can cover a wide range of topics that are skillfully “moderated” by the researcher. The earliest known focus groups can be traced to Bogardus in 1926 and Robert Merton and Paul Lazarsfeld in 1941 but did not take hold as a qualitative method in the social sciences for another twenty-five years. Since then, a significant body of knowledge has been created; since the late 20th century, more than twenty-five thousand peer-reviewed, published articles using focus groups have been published. This article will focus on uses within the realm of published scholarly research although focus groups are routinely used within the field of market and consumer research, and additional gray literature may be found in other sources.

scholarly journals Archiwizacja, reanaliza, rewizyta. O nowych pojęciach i nowych podejściach w badaniach jakościowych

2015 ◽  
Vol 59 (3) ◽  
pp. 3-30
Author(s):  
Piotr Filipkowski
Keyword(s):  
Social Sciences ◽  
Qualitative Data ◽  
Polish Academy ◽  
Data Archive ◽  
Specific Kind ◽  
The Social ◽  
Methodological Approaches ◽  
Academy Of Sciences ◽  
Qualitative Analyses

This article discusses the theoretical and methodological arguments for the archivization of qualitative data in the social sciences, particularly sociology. These arguments are preceded by the presentation of selected research and documentary undertakings (including film) that consist in a return to specific persons and places (or data) after an interval of some years by the same researchers or their successors. Ethnographic revisits are a specific kind of such return. The author reviews and systematizes revisitations in the conviction that the theoretical tools and methodological approaches that have been worked out there—with the characteristic autoreflexiveness of contemporary anthropology—can be used at least in part in new qualitative analyses of sociological data in archives, including the Qualitative Data Archive of the Polish Academy of Sciences’ Institute of Philosophy and Sociology.

scholarly journals THE IMPACT OF THE AUTHENTIC LEADERSHIP OF THE LEADERS ON THE SUBORDINATE WELLBEING: IN PETROLEUM INDUSTRY

2020 ◽  
Vol 5 (11) ◽  
pp. 49-60
Author(s):  
Deepti Shinde
Keyword(s):  
Social Sciences ◽  
Authentic Leadership ◽  
Qualitative Data ◽  
Petroleum Industry ◽  
Survey Method ◽  
Positive Direction ◽  
The Social ◽  
The Impact ◽  
Item Scale ◽  
General Wellbeing

A leader may try various approaches to lead and manage an organization that helps to formulate strategy, adopt the positive direction and motivation, and above all lead to subordinate wellbeing. In the current study, an attempt is made to study the impact of the authentic leadership of the leaders on the subordinate wellbeing. The current study adopted a survey method to test the hypotheses. Authentic Leadership was measured by a 16-item scale developed by Avolio, Gardner and Walumbwa (2007). General Wellbeing was measured by a 19-item scale developed by Dupuy (1970). The data were collected from a sample of 315 respondents from the organization of the Petroleum Industry. Statistical Package for the Social Sciences (SPSS) version 20 was used to assist both quantitative and qualitative data analysis and maintained the transparency and credibility of the research. The results revealed the significant correlation between the authentic leadership of the leaders and subordinate wellbeing in the Petroleum Industry.

scholarly journals Systematische kwalitatieve vergelijkende analyse

KWALON ◽  
2012 ◽  
Vol 17 (3) ◽  
Author(s):  
Stefan Verweij ◽  
Lasse M. Gerrits
Keyword(s):  
Social Sciences ◽  
Comparative Analysis ◽  
Spatial Planning ◽  
Qualitative Data ◽  
Qualitative Comparative Analysis ◽  
The Social

Systematic Qualitative Comparative Analysis Systematic Qualitative Comparative Analysis Qualitative Comparative Analysis (QCA) was introduced in the social sciences by Charles Ragin in 1987. Literature on and applications of QCA show the method as a way to systematically organize, summarize and compare qualitative data to discover and analyze patterns occurring over cases. Although the literature stresses the importance of iterating between theory and data in its procedures, its grounded nature remains relatively underexposed. In this article we illustrate the principles of QCA by means of a qualitative comparative analysis of fourteen Dutch spatial planning projects, thereby also articulating the method’s grounded nature.

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