Research in Germany

2020 ◽  
pp. 100-108
Keyword(s):  
Statistical Analysis ◽  
Quantitative Data ◽  
Teaching Staff ◽  
Research Assistant ◽  
Statistical Graphics ◽  
Highly Educated ◽  
Variable Analysis

This chapter presents data gathered by a Germany-related survey that was conducted by the authors between 29th of November and 18th of December 2011, with the aid of Johannes Fritz (Research Assistant at Friedrich-Alexander Universität Erlangen-Nürnberg). The sample was limited but highly educated, consisting mainly of students and teaching staff of the Friedrich-Alexander Universität Erlangen-Nürnberg. The authors present statistical graphics in order to visualise the quantitative data. Additionally, statistical analysis is being conducted (using one by one variable analysis) in order to identify trends and associations between different groups in the same country.

Research in Russia

2020 ◽  
pp. 109-116
Keyword(s):  
Statistical Analysis ◽  
Quantitative Data ◽  
Teaching Staff ◽  
Head Teacher ◽  
State Technical ◽  
Statistical Graphics ◽  
Highly Educated ◽  
Technical University ◽  
Variable Analysis

This chapter presents data gathered by a Russia-related survey that was conducted by the authors with the aid of Evgeniy Efimov (head teacher at the Volgograd State Technical University) between 11th of November and 24th of December 2011. Once again, the sample was limited but highly educated, consisting mainly of students and teaching staff of the Volgograd State Technical University. The authors present statistical graphics in order to visualise the quantitative data. Additionally, statistical analysis is being conducted (using one by one variable analysis) in order to identify trends and associations between different groups in the same country.

Research in Cyprus

2020 ◽  
pp. 134-142
Keyword(s):  
Statistical Analysis ◽  
Media Coverage ◽  
Quantitative Data ◽  
Educational Background ◽  
Online Media ◽  
Statistical Graphics ◽  
Variable Analysis

This chapter presents data gathered by a Cyprus-related survey that was conducted by the authors with the aid of many professional Cypriot journalists. The survey was conducted between 6th of September and 13th of November 2012 and managed to gather 62 responses. The participants came from a different social and educational background as they were gathered thanks to online media coverage. The authors present statistical graphics in order to visualise the quantitative data. Additionally, statistical analysis is being conducted (using one by one variable analysis) in order to identify trends and associations between different groups in the same country.

Research in Greece

2020 ◽  
pp. 92-99
Keyword(s):  
Quantitative Data ◽  
Teaching Staff ◽  
Mass Communications ◽  
Statistical Graphics ◽  
Highly Educated ◽  
Initial Survey

This chapter presents data gathered by Greece related to an initial survey that was conducted by the authors during June 2010 at the Aristotle University of Thessaloniki. This survey was based on a limited but highly educated sample consisting mainly of MA and PhD students, along with teaching staff of the Department of Journalism and Mass Communications. The authors present statistical graphics in order to visualise the quantitative data.

Research in India

2020 ◽  
pp. 117-124
Keyword(s):  
Statistical Analysis ◽  
Quantitative Data ◽  
Statistical Graphics ◽  
Educational Backgrounds ◽  
Variable Analysis

This chapter presents data gathered by an India-related survey that was conducted by the authors with the aid of Anshul Tewari and Astik Sinha, both professional journalists. The survey ran between 3rd of February and 20th of April 2012. The sample was limited, with 57 respondents, coming from different social and educational backgrounds. The authors present statistical graphics in order to visualise the quantitative data. Additionally, statistical analysis is being conducted (using one by one variable analysis) in order to identify trends and associations between different groups in the same country.

Research in Kosovo

2020 ◽  
pp. 125-133
Keyword(s):  
Statistical Analysis ◽  
Quantitative Data ◽  
University Education ◽  
Statistical Graphics ◽  
Research Fellow ◽  
Political Studies ◽  
Variable Analysis

This chapter presents data gathered by a Kosovo-related survey that was conducted by the authors with the aid of Artan Rogova, Research Fellow at the EU's Group for Legal and Political Studies. The survey was conducted between 17th of March and 16th of May 2012 and managed to gather 70 responses. All the participants were employees of the aforementioned EU's group, and therefore having university education. The authors present statistical graphics in order to visualise the quantitative data. Additionally, statistical analysis is being conducted (using one by one variable analysis) in order to identify trends and associations between different groups in the same country.

Delphi Method in a Digital Age

2018 ◽  
pp. 132-151
Author(s):  
Christine A. Haynes ◽  
Kaye Shelton
Keyword(s):  
Statistical Analysis ◽  
Delphi Method ◽  
Quantitative Data ◽  
Online Survey ◽  
Research Collaboration ◽  
Communication Strategies ◽  
Digital Age ◽  
Research Approach ◽  
Qualitative And Quantitative ◽  
Delphi Studies

With the rapid advancement of online survey tools, research collaboration tools, communication platforms, and statistical analysis tools, the Delphi method is an increasingly popular research approach to gain insight from experts into complex problems or when future-oriented planning is required. This chapter focuses on practical considerations and implications for practice when conducting studies online using the Delphi method. Practical logistics for the management of online Delphi studies explored in this chapter include preparing for a successful study, designing communication strategies, addressing technological considerations, and handling of qualitative and quantitative data.

Setting Up and Running a Q-Methodology Study in an Online Survey Research Suite

2022 ◽  
pp. 417-451
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Statistical Analysis ◽  
Survey Research ◽  
Quantitative Data ◽  
Q Methodology ◽  
Online Survey ◽  
Analysis Tool ◽  
Q Method ◽  
Statistical Analysis Tool ◽  
Q Sort ◽  
Basic Statistical Analysis

The q-method, as a graphic (visual) elicitation, has existed since the mid-1930s. Setting up a q-method, with q-sort capabilities, in an online survey platform, extends the reach of this method, even as data has to be processed in a quantitative data analytics suite. This chapter describes the setting up of a visual q-sort and the related debriefing on the Qualtrics Research Suite. The available data may be extracted and analyzed in a basic statistical analysis tool for factors and preference clusters.

Secondary Analysis for Digitized Data

2022 ◽  
pp. 898-919
Author(s):  
Gennaro Iorio ◽  
Marco Palmieri ◽  
Geraldina Roberti
Keyword(s):  
Statistical Analysis ◽  
Empirical Study ◽  
Quantitative Data ◽  
Research Method ◽  
Social Research ◽  
Secondary Analysis ◽  
Well Being ◽  
Digital Society ◽  
National Perspective ◽  
The Web

Secondary analysis for quantitative data is a social research method traditionally employed for statistical analysis of administrative data. In the new digital society, this old research method that pre-existed the emergence of the new digital environment has been digitized to carry out its valuable activity in doing science. In this chapter, the secondary analysis for digitized data is illustrated. Thanks to the growing availability of datasets digitized on the web, the scholars of social well-being use the secondary analysis to inquiry this phenomenon through a cross-national perspective. The authors present the empirical study of World Love Index, in which the utility of the secondary analysis in finding and selecting valid indicators of social well-being is experienced.

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