scholarly journals Applications of inferential statistical methods in library and information science

2018 ◽  
Vol 2 (2) ◽  
pp. 103-120
Author(s):  
Jin Zhang ◽  
Yanyan Wang ◽  
Yuehua Zhao ◽  
Xin Cai

AbstractResearch methods play an extremely important role in studies. Statistical methods are fundamental and vital for quantitative research. The authors of this paper investigated the research papers that used statistical methods including parametric inferential statistical methods, nonparametric inferential statistical methods, predictive statistical correlation methods, and predictive statistical regression methods in library and information science and examined the connections and interactions between statistical methods and their application areas including information creation, information selection and control, information organization, information retrieval, information dissemination, and information use. Both an inferential statistical method and graphic clustering visualization method were employed to explore the relationships between statistical methods and application areas and reveal the hidden interaction patterns. As a result, 1821 research papers employing statistical methods were identified among the papers published in six major library and information science journals from 1999 to 2017. The findings showed that application areas affected the types of statistical methods utilized. Studies in information organization and information retrieval tended to employ parametric and nonparametric inferential methods, while correlation and regression methods were applied more in studies in information use, information dissemination, information creation, and information selection and control field. These findings help researchers better understand the statistical method orientation of library and information science studies and assist educators in the field to develop applicable quantitative research methodology courses.

2017 ◽  
Vol 35 (6) ◽  
pp. 1070-1086 ◽  
Author(s):  
Jin Zhang ◽  
Yanyan Wang ◽  
Yuehua Zhao

Purpose The statistical method plays an extremely important role in quantitative research studies in library and information science (LIS). The purpose of this paper is to investigate the status of statistical methods used in the field, their application areas and the temporal change patterns during a recent 15-year period. Design/methodology/approach The research papers in six major scholarly journals from 1999 to 2013 in LIS were examined. Factors including statistical methods, application areas and time period were analyzed using quantitative research methods including content analysis and temporal analysis methods. Findings The research studies using statistical methods in LIS have increased steadily. Statistical methods were more frequently used to solve problems in the information retrieval area than in other areas, and inferential statistical methods were used more often than predictive statistical methods and other statistical methods. Anomaly analysis on statistical method uses was conducted and four types of anomaly were specified. Originality/value The findings of this study can help educators, graduates and researchers in the field of LIS better understand the patterns and trends of the applications of statistical methods in this field, depict an overall picture of quantitative research studies in LIS from the perspective of statistical methods and discover the change patterns of statistical method applications in LIS between 1999 and 2013.


2016 ◽  
Vol 40 (3) ◽  
pp. 416-434 ◽  
Author(s):  
Jin Zhang ◽  
Yuehua Zhao ◽  
Yanyan Wang

Purpose – Quantitative methods, especially statistical methods, play an increasingly important role in research of library and information science (LIS). For different journals, the uses of statistical methods vary substantially due to different journal scopes and aims. The purpose of this paper is to explore the characteristics of statistical methodology uses in six major scholarly journals in LIS. Design/methodology/approach – Research papers that used statistical methods from the six major journals were selected and investigated. Content analysis method, descriptive statistical analysis method, and temporal analysis method were used to compare and analyze statistical method uses in research papers of the investigated journals. Findings – The findings of this study show that there was a clear growth trend of statistical method uses in five of the investigated journals; statistical methods were used most in The Journal of the Association for Information Science and Technology and Information Processing & Management; and the top three most frequently used statistical methods were t-test, ANOVA test, and χ2-test. Originality/value – The findings can be used to better understand the application areas, patterns, and trends of statistical methods among the investigated journals and their statistical methodology orientations in research studies of LIS.


2019 ◽  
Vol 13 (2) ◽  
pp. 73
Author(s):  
Darren Ilett

Historically, much of the Library and Information Science (LIS) literature on first-generation students (FGS) framed them using deficit thinking, emphasising what they lacked to be successful in higher education. In contrast, recent scholarship has turned to asset-based pedagogies, shifting the focus onto the strengths that FGS bring to college. Further, LIS research on FGS has examined how students engage with information solely in academic contexts, such as completing research papers or navigating higher education procedures. The current study contributes to the discussion of asset-based pedagogies by using a funds of knowledge approach to explore the ways in which FGS at a mid-sized university in the US engage with information, and it expands the scope of inquiry to several everyday contexts, including students’ households, workplaces, and communities. The findings reveal a variety of funds of knowledge concerning participants’ information literacy (IL) and lay the foundation for IL instruction that meets FGS where they are, thus serving them more equitably.


Author(s):  
Ramadhas G. ◽  
Suman Sankar A. S.

Information explosion is the common phenomenon in the modern era in which no library can stand alone in fulfilling the information needs and requirements of its users. Resource sharing provides the means to maximize the usage of library collection irrespective of its type. Networking of libraries facilitates resource sharing among the participating libraries in an effective manner and it indirectly facilitates marketing of library sources among a group of libraries. Technology alone is not sufficient to bring together the sources. The attitudes of the people involved in the information dissemination are also a decisive factor in determining the success of resource sharing through networking of libraries. This chapter presents the attitude of information professionals for effective resource sharing and networking of academic libraries in the southern districts of Tamil Nadu, India. The study revealed that library and information science professionals have a positive attitude towards resource sharing and networking of libraries.


2020 ◽  
pp. 096100062096568
Author(s):  
Essam Mansour

This study proposes to investigate the knowledge and perception of students in the Department of Library and Information Science at South Valley University in Upper Egypt about the state’s dealing with the outbreak of the novel coronavirus known as COVID-19 that has been detected in Egypt in February 2020. A quantitative research approach was adopted in the form of a survey. The target population of the study included students ( N = 295) of the fourth year of Department of Library and Information Science at South Valley University, of which 253 responded to the study questionnaire, representing 85.8% of the total number. The study found that there is no significant relationship between the students’ gender and other variables of the study according to the statistics used. It also showed that the most popular information sources mentioned by Department of Library and Information Science students to get information related to the coronavirus were social media and the Internet/Web. The publication/dissemination of information and its availability were badly perceived by the students. About one-third of them questioned the government’s ability to deal with the novel coronavirus. They highly believe in the role of information transparency in fighting both administrative and human corruption. The students emphasized the citizens’ right to criticize the government when it does not comply with the transparency, as well as the right to access any information owned by it in any formats at any time. They were dissatisfied with the government’s ability to retrieve information, organize, store, have legislations, and own a good database of citizens, as well as its capabilities, in terms of transparency, competence, benevolence, honesty, accuracy, efficiency/effectiveness, practicality, and confidence, in relation to the outbreak of the novel coronavirus. Finally, the study indicated that barriers, such as the spread of administrative and human corruption, security restrictions, and the fragility of the freedom to disclose government information, were highly significant by the surveyed students.


Author(s):  
Ramadhas G. ◽  
Suman Sankar A. S.

Information explosion is the common phenomenon in the modern era in which no library can stand alone in fulfilling the information needs and requirements of its users. Resource sharing provides the means to maximize the usage of library collection irrespective of its type. Networking of libraries facilitates resource sharing among the participating libraries in an effective manner and it indirectly facilitates marketing of library sources among a group of libraries. Technology alone is not sufficient to bring together the sources. The attitudes of the people involved in the information dissemination are also a decisive factor in determining the success of resource sharing through networking of libraries. This chapter presents the attitude of information professionals for effective resource sharing and networking of academic libraries in the southern districts of Tamil Nadu, India. The study revealed that library and information science professionals have a positive attitude towards resource sharing and networking of libraries.


2018 ◽  
Vol 2 (2) ◽  
pp. 118
Author(s):  
Fitri Mutia

The existence of special library UPTD the "Kampung Anak Negeri" became one medium that can be used to develop the potential of street children themselves a growing number from year to year. This study conducted descriptive quantitative research that aim to describe the condition of special libraries in UPTD “Kampung Anak Negeri", especially in terms of collections, facilities and infrastructure, library services and human resources (librarian). The four aspects are then compared with the standard of the special library collated by the National Library in 2011. In this study, data collection technique conducted in July 2016 using interview techniques as a primary technique performed on librarians and include interviews with street children as well as staff of Colleagues   staff UPTD.  Based on the data obtained can be concluded that the amount of the book collection of about 752 titles of books, collection development has not reached 5% per year, spacious room just 35m² and has only 2 rack collection. Services available are services in place read, circulation services and information search services, while the librarians who manage only one person with a background in library and information science education. In general, special libraries UPTD condition does not meet the standard, so this affects is not maximized to support learning process as well as in facilities that match the information needs of street children.   


2020 ◽  
Vol 5 (3) ◽  
pp. 5-17 ◽  
Author(s):  
Robin Haunschild ◽  
Loet Leydesdorff ◽  
Lutz Bornmann

AbstractPurposeIn recent years, one can witness a trend in research evaluation to measure the impact on society or attention to research by society (beyond science). We address the following question: can Twitter be meaningfully used for the mapping of public and scientific discourses?Design/methodology/approachRecently, Haunschild et al. (2019) introduced a new network-oriented approach for using Twitter data in research evaluation. Such a procedure can be used to measure the public discussion around a specific field or topic. In this study, we used all papers published in the Web of Science (WoS, Clarivate Analytics) subject category Information Science & Library Science to explore the publicly discussed topics from the area of library and information science (LIS) in comparison to the topics used by scholars in their publications in this area.FindingsThe results show that LIS papers are represented rather well on Twitter. Similar topics appear in the networks of author keywords of all LIS papers, not tweeted LIS papers, and tweeted LIS papers. The networks of the author keywords of all LIS papers and not tweeted LIS papers are most similar to each other.Research limitationsOnly papers published since 2011 with DOI were analyzed.Practical implicationsAlthough Twitter data do not seem to be useful for quantitative research evaluation, it seems that Twitter data can be used in a more qualitative way for mapping of public and scientific discourses.Originality/valueThis study explores a rather new methodology for comparing public and scientific discourses.


Author(s):  
Suoling Zhu ◽  
Wen Shi

This paper analyzes the years of publication, authors and their institutions, journal titles, and keywords of research papers relevant to academic libraries published in the 18 core journals of library and information science, which were downloaded from the full-text database of the China National Knowledge Infrastructure (CNKI). The purpose of this paper is to discover the distribution of the research subjects, hot topics in library and information research, and development trends in the age of big data.


Sign in / Sign up

Export Citation Format

Share Document