Prospects and Limitations of Partial Ranked Data Analysis in Social Science Research – Investigations of Social Networks and Support

2010 ◽  
Author(s):  
Christian Pihl ◽  
Ulrich Pötter
Keyword(s):  
Social Networks ◽  
Data Analysis ◽  
Social Science ◽  
Social Science Research ◽  
Science Research

The mobile phone between fashion and design

2013 ◽  
Vol 1 (1) ◽  
pp. 102-109 ◽  
Author(s):  
Leopoldina Fortunati
Keyword(s):  
Social Networks ◽  
Social Science ◽  
Mobile Phone ◽  
Social Science Research ◽  
Science Research ◽  
Current Debate

In this article first of all I want to look at the current debate on fashion and the mobile phone. After a brief outline of the question, I discuss the role of fashion and then of design, an interconnected theme that has never been satisfactorily addressed in this debate. Then I analyse briefly how social networks and applications have introduced the discourse surrounding fashion and information about fashion to this device. My conclusion is that it is now necessary to make social science research converge with HCI research in order to have a better understanding of the potentialities of the mobile phone and a clearer vision of where research is now needed.

scholarly journals An Analysis of The English Gerund as Subject, Direct Object, Subject Complemet, and Object of Preposition

2018 ◽  
Vol 1 (2) ◽  
pp. 60-64
Author(s):  
Raflis Raflis ◽  
Arozato Lase
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Social Science ◽  
Social Science Research ◽  
Numerical Data ◽  
Science Research ◽  
Direct Object ◽  
Distribution Method ◽  
Main Verb ◽  
The Subject

The problem in this journal is gerund, verbal ending -ing and serves as a noun. Gerund differs from grammar construction in English because it is able to convert a verb into a noun by adding -ing at the end of the verb. At the same time, there is also a continuous tense form that adds -ing at the end of the verb. For students who start learning English will be confused with the form -ing that can be a noun and also a verb in the same sentence. The method used is the method of distribution, the method of data analysis into object analysis is part of the language itself. Objects in the distribution method are always part or element of the language being observed. In analyzing the data, the authors use qualitative methods. Qualitative research is a type of social science research that collects and works with non-numerical data and which seeks to interpret the meaning of the data being analyzed. In this study, researchers used descriptive design with the aim to analyze gerund as subject, direct object, complement of subject, and object of preposition at Tempo magazine in 2015. The author finds gerund formulation as follows: Gerund as Subject (Main + Main Verb + Complement), gerund as Direct Object (Subject + Main Verb + Gerund), gerund as Subject Complement (Subject + to be + Gerund), and gerund as Object of Preposition (Subject + Primary Keyword + Preposition + Gerund). The study found that Tempo magazine used gerund in magazines with higher gerund percentages as the preposition object. There are 8 gerunds as the subject, 5 gerund as a direct object, 6 gerund as complementary subject, and 23 gerund as the preposition object.

The Poverty of Data in Africa: Why the Continent Needs More Bacon

World Affairs ◽  
2019 ◽  
Vol 182 (4) ◽  
pp. 302-323 ◽  
Author(s):  
Abel Kinyondo ◽  
Riccardo Pelizzo ◽  
Kristina Bekenova
Keyword(s):  
Data Analysis ◽  
Social Science ◽  
Social Science Research ◽  
Science Research ◽  
Francis Bacon ◽  
Objective Knowledge ◽  
Social Phenomena ◽  
True Meaning ◽  
Research Problems ◽  
Bad Data

Even if data analysis in Africa has allegedly allowed analysts to expand the boundaries of inquiry, social science research in the continent has been hindered by several problems. Some of these problems could be viewed as subcategories of the idols that Francis Bacon had identified. We show in the present article that bad data lead to bad analyses, which in turn lead to misleading interpretations and misleading interpretations lead to a type of knowledge that is distinctively different from real and objective knowledge. We conclude by recommending that to avoid most, if not all, of the research problems in Africa, social science researchers should realize that social phenomena are embedded in an infinite web of relations from which only true meaning can emerge. It follows that, to gain a proper appreciation of such network of relations, social phenomena must be approached at various levels from different perspective.

Developing Organisational Stories through Grounded Theory Data Analysis

2012 ◽  
pp. 52-67
Author(s):  
Elayne Coakes ◽  
Anthony Elliman
Keyword(s):  
Grounded Theory ◽  
Data Analysis ◽  
Social Science ◽  
Case Study Research ◽  
Social Science Research ◽  
Organisational Change ◽  
Science Research ◽  
Study Research ◽  
Case Research

This article provides a concrete example of a technique or tool that may improve intensive case research and understanding, especially when considering explanatory case study research. It is argued that researchers must work hard and be creative to provide robust methodological tools so that their work is accepted in the Information Systems field (in particular), as it is traditionally skeptical about qualitative studies. This paper argues that story-telling grounded in the data through the use of the Grounded Theory methodology and its associated methods provide a way of identifying the causal conditions in any case where the underlying dynamics for any type of organisational change are unknown. Although this research and method of presentation is relevant to the IS field, it has applications in any social science research where it is necessary to present the causal conditions for the phenomena under study.

Usefulness of Netnography in the Digital Banking Context

2022 ◽  
pp. 280-294
Author(s):  
Irina Dimitrova ◽  
Peter Öhman
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Social Science ◽  
Real Time ◽  
Research Method ◽  
Social Science Research ◽  
Science Research ◽  
Customer Feedback ◽  
Research Areas ◽  
Financial Research

This chapter discusses the usefulness of netnography as a research method in the digital banking context. Netnography has become a relative attractive data collection and data analysis method in some social science research areas but is still relatively unknown in financial research. Compared with other research methods, netnography seems to have some advantages in the digital banking world, such as real-time customer feedback. Moreover, virtual observations can be used not only by researchers but also by bank representatives to, for example, find out how bank customers can contribute to value co-creation.

Developing Organisational Stories Through Grounded Theory Data Analysis

2011 ◽  
Vol 3 (2) ◽  
pp. 26-41 ◽  
Author(s):  
Elayne Coakes ◽  
Anthony Elliman
Keyword(s):  
Grounded Theory ◽  
Information Systems ◽  
Data Analysis ◽  
Social Science ◽  
Case Study Research ◽  
Social Science Research ◽  
Organisational Change ◽  
Science Research ◽  
Case Research

This article provides a concrete example of a technique or tool that may improve intensive case research and understanding, especially when considering explanatory case study research. It is argued that researchers must work hard and be creative to provide robust methodological tools so that their work is accepted in the Information Systems field (in particular), as it is traditionally skeptical about qualitative studies. This paper argues that story-telling grounded in the data through the use of the Grounded Theory methodology and its associated methods provide a way of identifying the causal conditions in any case where the underlying dynamics for any type of organisational change are unknown. Although this research and method of presentation is relevant to the IS field, it has applications in any social science research where it is necessary to present the causal conditions for the phenomena under study.

scholarly journals Controversy in Determining Criteria and Categories in Summarizing and Exploring The Research Data; Analysis of Assessment Procedures in The Social Science Research

2021 ◽  
Vol 58 (1) ◽  
pp. 4109-4115
Author(s):  
Zadrian Ardi Et al.
Keyword(s):  
Data Analysis ◽  
Social Science ◽  
Social Science Research ◽  
Science Research ◽  
Research Data ◽  
Mobile App ◽  
Data Types ◽  
The Social ◽  
Assessment Procedures

Determination of criteria and categorization of data in measurement is a crucial moment when processing research data. Overview, exploration and presentation of data will be effective and valid if the criteria set meets the requirements, both from a theoretical and statistical perspective. However, the fact that often arises, especially in beginner researchers made a mistaken in determining the criteria and categories. These errors are often indicated in the form of incomprehension and negligence of researchers in placing data types with the type of methodology. This paper describes various errors in determining criteria and categories of research data, determining criteria and categories of research data, and suggesting their meaning, especially in social science research. This research involved respondents from four different types of assessments, which is 428 respondents from Daharnis-Zadrian Majoring Choices Inventory (DZ-MCI) and 174 respondents from the Acceptability of Mental-Health Mobile-App Survey (AMMS), as well as 1190 respondents from the development of DLAS and DLESS inventory. The results of the study show that the determination of categories and criteria in data processing greatly impacts the truth of data exposure and advanced data analysis. Implications of these studies for determining categories and criteria of research on social science research are discussed

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