scholarly journals SPSS: An Imperative Quantitative Data Analysis Tool for Social Science Research

2021 ◽  
Vol 05 (10) ◽  
pp. 300-302
Author(s):  
Arifa Rahman ◽  
Md.Golam Muktadir
Keyword(s):  
Data Analysis ◽  
Social Science ◽  
Quantitative Data ◽  
Social Science Research ◽  
Science Research ◽  
Analysis Tool ◽  
Quantitative Data Analysis ◽  
Data Analysis Tool

Constructing a Conceptual Framework for Quantitative Data Analysis in Social Science Research

2019 ◽  
Vol 2 (1) ◽  
pp. 74-88
Author(s):  
Wilson Mugizi
Keyword(s):  
Data Analysis ◽  
Social Science ◽  
Conceptual Framework ◽  
Real World ◽  
Quantitative Data ◽  
Social Science Research ◽  
Science Research ◽  
Conceptual Frame ◽  
Quantitative Data Analysis ◽  
Scientific Justification

The article proposes how to construct a conceptual framework in social science research using the quantitative paradigm. The purpose of the paper is to provide a guideline for drawing a conceptual framework to students writing proposals based on scientific justification for data analysis. The paper explains how constructs are interlinked to develop a conceptual framework. The article argues that a conceptual framework is not a fixed network of variables but possesses ontological, epistemological, and methodological assumptions and each concept within a conceptual framework plays an ontological or epistemological role. The ontological assumptions explain how knowledge is or what knowledge is, the epistemological assumptions relate to how things really are done and how things certainly work in an assumed reality, and the methodological assumptions relate to the process of building the conceptual framework and assessing what it can tell us about the real world. Therefore, the conceptual frame shows how variables are interlinked, how analysis will be carried out and how the subsequent model will look like.  In conclusion, the conceptual framework is not a form of fixed diagram but portrays the kind of analysis that will be or has been carried out in a study.

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.

scholarly journals Pengaruh Motivasi, Kepemimpinan Dan Disiplin Kerja Terhadap Kinerja Karyawan Rumah Sakit Umum Daerah Wangaya Kota Denpasar

2020 ◽  
Vol 1 (2) ◽  
pp. 111-122
Author(s):  
Ni Ketut Murdani ◽  
Ni Luh Ketut Ayu Sudha Sucandrawati ◽  
I Dewa Nyoman Usadha
Keyword(s):  
Data Analysis ◽  
Social Science ◽  
Quantitative Data ◽  
Employee Performance ◽  
Optimal Performance ◽  
Analysis Method ◽  
Organizational Goals ◽  
Data Analysis Method ◽  
Quantitative Data Analysis

The success of the company is strongly influenced by the performance of its employees. Good performance is the optimal performance, that is, performance that conforms to the organization's standards and supports the achievement of organizational goals. Each company will strive to always improve the performance of its employees in order to achieve the goals set by the company.The purpose of this study are: 1) To determine the effect of motivation on employee performance Wangaya Denpasar Hospital; 2) To know the influence of leadership on employee performance of RSUD Wangaya Denpasar City; 3) To know the influence of work discipline on employee performance of Wangaya Hospital Denpasar City; and 4) To find out whether the motivation, leadership and work discipline affect together on the performance of employees of Wangaya Hospital Denpasar City. Data Analysis Method used in this research is quantitative data analysis and analyze by using program of SPSS ( Statistical Package for Social Science) for windows version 21.The result of this research is that the motivation has no significant effect to the employee performance at RSUD Wangaya Kota Denpasar of 0,111 or 11% where significant value 0,106 or bigger than level of significant (α) 0,05 Leadership significant to employee performance at RSUD Wangaya Denpasar city sebersar 0,210 or 21% where significant value 0.000 or smaller than level of significant (α) 0,05. Work discipline has no significant effect on employee performance at RSUD Wangaya Kota Denpasar of 0,051 or 5% where significant value 0,477 or bigger than level of significant (α) 0,05. Motivation, leadership and work discipline together affect the performance of employees of Wangaya Hospital Denpasar City of 0.67 or 67% of the rest by 33% influenced by the variable not examined in this study. Where the significance value is 0.000 or smaller than the 0.05 level of significant (α)  0,05.

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.

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