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.

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.

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.

History of Darjeeling District Migration Between 1872-2011

2020 ◽  
Vol 6 (9) ◽  
pp. 1302
Author(s):  
Mahashweta Das
Keyword(s):  
Social Science ◽  
Population Growth ◽  
Historical Data ◽  
Social Science Research ◽  
Science Research ◽  
Cubic Spline ◽  
Parametric Models ◽  
Historical Events ◽  
Research Problems ◽  
History Of

The human migration is one of the fundamental aspects of social science. Even though it is an interdisciplinary research problem, currently History scholars are also attracted with this problem. Many classical queries such as who moves, when do they move, what are the historical events associated with the movements, why do they move, what are the impacts when they live there are frequently arisen in migration related social science research problems. It is admitted that historical data sets are not exact as obtained from scientific experiments, or physical measurements. It is always important to study history with exact robust estimated historical data which can only be derived by adopting some scientific modeling approach from the raw available data. The current article aims to study the history of migration, or equivalently population growth trend of Darjeeling District, West Bengal, India from 1872 to 2011 using census data, adopting cubic spline and probabilistic parametric models. The current paper not only develops the robust estimates of population growth data during this period, but also focuses on many migration related social science research problems as stated above. All these above mentioned historical events are located from the developed cubic spline and probabilistic parametric models. Note that, probabilistic parametric model provides better estimates than the cubic spline model within this period.

Bottom-Up and Top-Down Approaches to Simulate Complex Social Phenomena

2018 ◽  
Vol 9 (2) ◽  
pp. 1-16 ◽  
Author(s):  
Ahmed M'hamdi ◽  
Mohamed Nemiche
Keyword(s):  
Social Science ◽  
Social Science Research ◽  
Science Research ◽  
Social Simulation ◽  
New Paradigm ◽  
Top Down ◽  
Social Phenomena ◽  
Virtual Laboratories ◽  
Model Complex ◽  
Linear Interactions

Social science research is concerned with the study of processes and phenomena in human societies, institutions and organizations. Social phenomena are complex due to many non-linear interactions between their elements. Social simulation represents a new paradigm for understanding social complexity with approaches that use advanced computational capabilities. The success of social simulation is largely due to its capability to test and validate hypotheses of social phenomena by the construction of virtual laboratories. This paper provides an introduction to social simulation and discusses approaches to model complex social phenomena.

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.

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