scholarly journals Methods for Classification of Text Data: Can the Potential of Quantitative Analysis Be Applied to Qualitative Research?

Inter ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 81-96
Author(s):  
Marina Aleksandrova
Keyword(s):  
Social Sciences ◽  
European Social Survey ◽  
Research Field ◽  
Item Nonresponse ◽  
Text Data ◽  
Social Survey ◽  
The Social ◽  
Textual Data ◽  
Analysis Of Results

Text mining has developed rapidly in recent years. In this article we compare classification methods that are suitable for solving problems of predicting item nonresponse. The author builds reasoning about how the analysis of textual data can be implemented in a wider research field based on this material. The author considers a number of metrics adapted for textual analysis in the social sciences: accuracy, precision, recall, F1-score, and gives examples that can help a sociologist figure out which of them is worth paying attention depending on the task at hand (classify text data with equal accuracy, or more fully describe one of the classes of interest). The article proposes an analysis of results obtained by analyzing texts based on the materials of the European Social Survey (ESS).

scholarly journals Improving Data Quality with Sociodemographic Matching?: About the Effects and Implications of Age and Gender Matching in Face-to-Face Interviews

2021 ◽  
pp. 193672442199825
Author(s):  
Felix Bittmann
Keyword(s):  
Data Quality ◽  
European Social Survey ◽  
Item Nonresponse ◽  
Age And Gender ◽  
Social Survey ◽  
Face To Face ◽  
Dependent Variables ◽  
And Gender ◽  
High Degree ◽  
Gender Matching

According to the theory of liking, data quality might be improved in face-to-face survey settings when there is a high degree of similarity between respondents and interviewers, for example, with regard to gender or age. Using two rounds of European Social Survey data from 25 countries including more than 70,000 respondents, this concept is tested for the dependent variables amount of item nonresponse, reluctance to answer, and the probability that a third adult person is interfering with the interview. The match between respondents and interviewers is operationalized using the variables age and gender and their statistical interactions to analyze how this relates to the outcomes. While previous studies can be corroborated, overall effect sizes are small. In general, item nonresponse is lower when a male interviewer is conducting the interview. For reluctance, there are no matching effects at all. Regarding the presence of other adults, only female respondents profit from a gender match, while age is without any effect. The results indicate that future surveys should weigh the costs and benefits of sociodemographic matching as advantages are probably small.

“*Pseudonyms Are Used Throughout”: A Footnote, Unpacked

2021 ◽  
pp. 107780042110483
Author(s):  
Janet Heaton
Keyword(s):  
Social Sciences ◽  
Current Practice ◽  
Social Sciences And Humanities ◽  
The Social ◽  
Textual Data

Pseudonyms are often used to de-identify participants and other people, organizations and places mentioned in interviews and other textual data collected for research purposes. While this is commonplace, the rationale for, and limits of, using pseudonyms or other methods to disguise identifying information are seldom explained in empirical works. Following an illustrated outline of pseudonyms, epithets, codenames and other obscurant techniques used in the social sciences and humanities, this paper considers how they variously frame the identities of, and position the relations between, participants and researchers. It suggests ways in which researchers might improve on current practice.

Journal influence in corporate research

2016 ◽  
Vol 42 (4) ◽  
pp. 376-389 ◽  
Author(s):  
Kenneth Borokhovich ◽  
Allissa Lee ◽  
Betty Simkins
Keyword(s):  
Social Sciences ◽  
Corporate Finance ◽  
Relative Influence ◽  
Impact Factors ◽  
Content Type ◽  
Journal Citation Reports ◽  
The Social ◽  
Total Influence ◽  
The Impact

Purpose – Studies of research influence commonly look at the overall field of finance. The purpose of this paper is to examine the sub-field of corporate finance at four different points in time to determine its evolution and range of influence, specifically focussing on the relative influence of seven leading journals. Design/methodology/approach – Not all articles appearing in the set of journals are in corporate finance. The authors examine each article published in the journals for four key periods and identify those that are corporate. The impact factors (IFs) published in the Journal Citation Reports (JCR) are for all articles appearing in a journal. The authors are interested only in the corporate articles, so the authors calculate separate corporate IFs based on the citations to the corporate articles using the JCR technique. Findings – The authors find a broad corporate research environment with influence that extends well beyond finance. The authors also find differences in the relative influence of the journals not only in their total influence, but in where the influence occurs outside finance and other business journals and even more broadly in the social sciences. Research limitations/implications – The exclusion of journals outside the seven selected may not uncover other areas where corporate finance articles impact research more broadly. Also, classification of articles is inherently subjective. Practical implications – The authors draw comparisons between journals and corporate finance topic areas; indicating the breadth and depth research in these areas attain. These results should prove beneficial to researchers in determining areas of influence for their work, consequently providing opportunities for additional exchanges of ideas resulting in better and more informed research in the overall social sciences. Further, our approach to analyzing journal influence could prove fruitful for additional research. Originality/value – The findings allow for a greater understanding of the influence of individual journals and their subsequent rankings by a number of different means. The authors propose that the means and measures employed here can lead to a greater understanding of how influential a journal really is. Further, the authors contend that the study provides comparisons of the scope and depth of influence for each journal in a way that could lead to new avenues of research.

scholarly journals Peirce’s Classification of the Sciences

2020 ◽  
Vol 47 (3) ◽  
pp. 267-278
Author(s):  
Torjus Midtgarden
Keyword(s):  
Social Sciences ◽  
Life Experience ◽  
Physical Nature ◽  
Human Mind ◽  
Empirical Science ◽  
The Social ◽  
Methodological Principles ◽  
The One ◽  
Philosophical Pragmatism

Charles Peirce’s classification of the sciences was designed shortly after the turn of the twentieth century. The classification has two main sources of inspiration: Comte’s science classification and Kant’s theoretical philosophy. Peirce’s classification, like that of Comte, is hierarchically organised in that the more general and abstract sciences provide principles for the less general and more concrete sciences. However, Peirce includes and assigns a superordinate role to philosophical disciplines which analyse and provide logical, methodological and ontological principles for the specialised sciences, and which are based on everyday life experience. Moreover, Peirce recognises two main branches of specialised empirical science: the natural sciences, on the one hand, and the social sciences, the humanities and psychology on the other. While both branches share logical and methodological principles, they are based on different ontological principles in studying physical nature and the human mind and its products, respectively. Peirce’s most basic philosophical discipline, phenomenology, transforms his early engagement with Kant. Peirce’s classification of aesthetics, ethics and logic as normative sub-disciplines of philosophy relate to his philosophical pragmatism. Yet his more overarching division between theoretical (philosophical and specialised) sciences and practical sciences may be seen as problematic. Taking Peirce’s historical account of scientific developments into consideration, however, I argue that his science classification and its emphasis on the interdependencies between the sciences could be seen as sustaining and supporting interdisciplinarity and interaction across fields of research, even across the divide between theoretical and practical sciences.

Opinion Dynamics

2013 ◽  
pp. 311-332 ◽  
Author(s):  
Haoxiang Xia ◽  
Huili Wang ◽  
Zhaoguo Xuan
Keyword(s):  
Social Sciences ◽  
Social Dynamics ◽  
Opinion Dynamics ◽  
Research Field ◽  
Physical Models ◽  
Modeling Tools ◽  
Future Directions ◽  
Academic Field ◽  
Interdisciplinary Field ◽  
The Social

As a key sub-field of social dynamics and sociophysics, opinion dynamics utilizes mathematical and physical models and the agent-based computational modeling tools, to investigate the spreading of opinions in a collection of human beings. This research field stems from various disciplines in social sciences, especially the social influence models developed in social psychology and sociology. A multidisciplinary review is given in this paper, attempting to keep track of the historical development of the field and to shed light on its future directions. In the review, the authors discuss the disciplinary origins of opinion dynamics, showing that the combination of the social processes, which are conventionally studied in social sciences, and the analytical and computational tools, which are developed in mathematics, physics and complex system studies, gives birth to the interdisciplinary field of opinion dynamics. The current state of the art of opinion dynamics is then overviewed, with the research progresses on the typical models like the voter model, the Sznajd model, the culture dissemination model, and the bounded confidence model being highlighted. Correspondingly, the future directions of this academic field are envisioned, with an advocation for closer synthesis of the related disciplines.

scholarly journals Health and political efficacy in context: What is the role of the welfare state?

2019 ◽  
Vol 60 (6) ◽  
pp. 435-457 ◽  
Author(s):  
Jennifer Shore ◽  
Carolin Rapp ◽  
Daniel Stockemer
Keyword(s):  
Multilevel Models ◽  
Good Health ◽  
Political Efficacy ◽  
European Social Survey ◽  
Welfare States ◽  
Social Survey ◽  
Health Differences ◽  
The Social ◽  
The Relationship

Health affects nearly all facets of our lives, including the likelihood of getting involved in politics. Focusing on political efficacy, we zoom in on one potential mechanism as to why people in poor health might, for example, stay at home on Election Day. We first look at the ways in which health is related to both people’s perceptions of their abilities to take part in politics (internal political efficacy) as well as the extent to which they believe policymakers are responsive to citizen needs (external political efficacy). Second, we examine how the social policy context intervenes in the relationship between health and political efficacy. Multilevel models using 2014 and 2016 European Social Survey data on roughly 57,000 respondents nested in 21 European countries reveal complex results: while good health, rather unsurprisingly, fosters internal and external political efficacy, more generous welfare states, though associated with higher levels of political efficacy, are not a panacea for remedying political inequalities stemming from individual health differences.

Social Participation and Health among Ageing People in East-Central Europe

2015 ◽  
Vol 10 (2) ◽  
pp. 177-185 ◽  
Author(s):  
Alexandra Makai ◽  
Viktória Prémusz ◽  
Kata Füge ◽  
Mária Figler ◽  
Kinga Lampek
Keyword(s):  
Health Status ◽  
Central Europe ◽  
Social Participation ◽  
Social Ties ◽  
European Social Survey ◽  
Ageing Population ◽  
Social Survey ◽  
East Central Europe ◽  
East Central ◽  
The Social

Abstract In this study we examined the health of the ageing population of East-Central Europe. Data derived from the 6th round of the European Social Survey. The aim of our research was to examine the most important factors that determine ageing people’s health status. We paid particular attention to the social ties of our target group.

scholarly journals Status Loss: The Burden of Positively Selected Immigrants

2019 ◽  
Vol 54 (2) ◽  
pp. 471-495 ◽  
Author(s):  
Per Engzell ◽  
Mathieu Ichou
Keyword(s):  
European Social Survey ◽  
Social Position ◽  
The Other ◽  
Social Survey ◽  
Financial Situation ◽  
Individual Outcomes ◽  
The Social ◽  
The Status ◽  
Country Differences ◽  
The One

Immigrants experience an ambiguous social position: on the one hand, they tend to be positively selected on resources from the origin country; on the other, they often occupy the lower rungs of the status ladder in receiving countries. This study explores the implications of this ambiguity for two important individual outcomes: subjective social status and perceived financial situation. We study the diverse sample of immigrants in the European Social Survey and use the fact that, due to country differences in educational distributions, a given education level can entail a very different rank in the sending and receiving countries. We document a robust relationship whereby immigrants who ranked higher in the origin than in the destination country see themselves as being comparatively worse off. This finding suggests that the social position before migration provides an important reference point by which immigrants judge their success in the new country.

The Social Spiders in the Clustering of Texts

2012 ◽  
Vol 3 (3) ◽  
pp. 1-14 ◽  
Author(s):  
Reda Mohamed Hamou ◽  
Abdelmalek Amine ◽  
Ahmed Chaouki Lokbani
Keyword(s):  
Data Stream ◽  
Combinatorial Problem ◽  
Large Data ◽  
Social Spiders ◽  
Stream Flows ◽  
The Social ◽  
Textual Data ◽  
Biomimetic Approach ◽  
N Gram

In this paper the authors experiment and test a new biomimetic approach based on social spiders to solve a combinatorial problem ie the automatic classification of texts because a very large data stream flows and particularly on the web. Representation of textual data was performed by a method independent of the language ie n-gram characters and words because there is currently no method of learning that can directly represent unstructured data (text). To validate the classification, the authors used a measure of evaluation based on recall and precision (F-measure). During the experiment, the authors found a powerful visualization tool in social spiders that they exploit to make visual classification.

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