scholarly journals A Study on the Correlation between the Appearance Frequency of Author Keyword and the Number of Citation in the Humanities and Social Science Journal Articles of the Korea Citation Index (KCI)

2013 ◽  
Vol 30 (2) ◽  
pp. 227-243 ◽  
Author(s):  
Young Man Ko ◽  
Min-Sun Song ◽  
Bee-Yeon Kim ◽  
Hye-Ryoung Min
Keyword(s):  
Social Science ◽  
Citation Index ◽  
Science Journal ◽  
Journal Articles ◽  
Social Science Journal ◽  
Author Keyword ◽  
Appearance Frequency

Research Output

2017 ◽  
Author(s):  
Surinder Kumar ◽  
Prashant Kumar Trivedi ◽  
Shilp Sikha Singh
Keyword(s):  
Social Science ◽  
Political Science ◽  
Present Status ◽  
Research Output ◽  
Social Science Research ◽  
Science Research ◽  
Science Journal ◽  
Journal Articles ◽  
Social Science Journal

This chapter maps the present status of social science research (SSR) output under various disciplines and their respective subcategories. For this, the study explores social science journal articles and books to understand thematic focus of research in India. All articles published during the period of eleven years, 2005–15, and all books published over five years, 2010–14, were chosen for analyses. All together a total of 7235 books and 22309 articles published in 1113 journals were included for analysis. It was observed that the major share of research output comes from the discipline of economics, followed by sociology and political science.

Mapping the landscape of Internet Studies: Text mining of social science journal articles 2000–2009

2012 ◽  
Vol 15 (5) ◽  
pp. 644-664 ◽  
Author(s):  
Tai-Quan Peng ◽  
Lun Zhang ◽  
Zhi-Jin Zhong ◽  
Jonathan JH Zhu
Keyword(s):  
Text Mining ◽  
Social Science ◽  
Science Journal ◽  
Journal Articles ◽  
Internet Studies ◽  
Social Science Journal

Multiple regression and nonlinear models

2017 ◽  
Author(s):  
Andrew Gelman ◽  
Deborah Nolan
Keyword(s):  
Regression Analysis ◽  
Social Science ◽  
Multiple Regression ◽  
Nonlinear Model ◽  
Nonlinear Models ◽  
Good Strategy ◽  
Science Journal ◽  
Golf Putting ◽  
Social Science Journal ◽  
To Come

This chapter covers multiple regression and links statistical inference to general topics such as lurking variables that arose earlier. Many examples can be used to illustrate multiple regression, but we have found it useful to come to class prepared with a specific example, with computer output (since our students learn to run the regressions on the computer). We have found it is a good strategy to simply use a regression analysis from some published source (e.g., a social science journal) and go through the model and its interpretation with the class, asking students how the regression results would have to differ in order for the study’s conclusions to change. The chapter includes examples that revisit the simple linear model of height and income, involve the class in models of exam scores, and fit a nonlinear model (for more advanced classes) for golf putting.

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