Statistical methods used in Arabic journals of library and information science

Ibrahim, Bahaa

doi:10.1007/s11192-021-03913-2

Cited by 8 publications

(5 citation statements)

References 23 publications

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“…LIS researchers should use inferential statistics because descriptive statistics describes or summarizes the data by using frequencies and averages but inferential statistics is more beneficial because it allows researchers to test hypotheses about relationships, differences or variances and to predict conclusions based on data (Doucette, 2017). The use of inferential statistics is beneficial because it enables the generalizations and prediction of characteristics from the sample being studied to the population of interest (Ibrahim, 2021; Togia and Malliari, 2017).…”

Section: Discussionmentioning

confidence: 99%

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Statistical analysis used in LIS research produced by Pakistani authors

Ullah¹,

Ameen²

2021

OIR

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PurposeStatistical methods are important for meaningful analysis, critique and interpretation of results. The current study aims to investigate the use of statistical methods used in LIS research articles produced by Pakistani authors during 2001–2016.Design/methodology/approachContent analysis method with both the qualitative and quantitative components was used. LIS articles published by Pakistani authors in national and international journals from 2001 to 2016 were selected. The descriptive and inferential statistics were used to analyze the usage of statistical techniques.FindingsThe findings show that use of descriptive statistics remained higher as compared to inferential statistics in the LIS research produced by Pakistani authors. However, a visible growth trend in the use of inferential statistical techniques is found. Males are two times more likely to use inferential statistics as compared to female authors. Articles published in foreign journals and impact factor journals used more inferential statistics as compared to local and nonimpact factor journals. Parametric inferential statistics is more popular among Pakistani authors as compared to nonparametric. Faculty was more inclined toward using parametric statistic. The percentage of collaboration was higher in the papers using parametric statistics. Few articles reported the tests to fulfill the assumptions of parametric and nonparametric statistics.Originality/valueThis study can be used to better understand the trends of statistical techniques used in LIS research and authors' orientation in this regard. It will be helpful for future researchers in the selection of appropriate statistical techniques to be used.

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Section: Discussionmentioning

confidence: 99%

“…Ibrahim (2021) examined statistical methods used in Arabic journals of library and information science. Descriptive statistics (83%) were the most commonly used followed by Predictive statistical methods (4%) and nonparametric inferential statistical methods (3%).…”

Section: Literature Reviewmentioning

confidence: 99%

Statistical analysis used in LIS research produced by Pakistani authors

Ullah¹,

Ameen²

2021

OIR

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“…Compared, the full-text of academic literature contains more method entities and more information about the method entities, such as how these methods are used. Ibrahim (2021) analyzed the statistical methods entities used in academic papers in library and information science (LIS). In addition to the name of the statistical method, the section where the method is located, they also recorded whether the use of statistical methods was realized by software.…”

Section: Manual Annotation Of Methods Entitiesmentioning

confidence: 99%

A review on method entities in the academic literature: extraction, evaluation, and application

Wang

Zhang

2022

Scientometrics

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In scientific research, the method is an indispensable means to solve scientific problems and a critical research object. With the advancement of sciences, many scientific methods are being proposed, modified, and used in academic literature. The authors describe details of the method in the abstract and body text, and key entities in academic literature reflecting names of the method are called method entities. Exploring diverse method entities in a tremendous amount of academic literature helps scholars understand existing methods, select the appropriate method for research tasks, and propose new methods.Furthermore, the evolution of method entities can reveal the development of a discipline and facilitate knowledge discovery. Therefore, this article offers a systematic review of methodological and empirical works focusing on extracting method entities from full-text academic literature and efforts to build knowledge services using these extracted method entities. Definitions of key concepts involved in this review were first proposed. Based on these definitions, we systematically reviewed the approaches and indicators to extract and evaluate method entities, with a strong focus on the pros and cons of each approach. We also surveyed how extracted method entities are used to build new applications. Finally, limitations in existing works as well as potential next steps were discussed.

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“…In order to analyze and evaluate outcomes for research studies in library information science, a statistical approach is essential. Statistical methods can be classified into four categories in library information science: descriptive methods, parametric inferential methods, nonparametric inferential methods, and predictive methods (Ibrahim, 2021). To evaluate statistics on electronic usage, the College of New Jersey Library used statistical techniques and the R computer language (Wang & Mi, 2019).…”

Section: Previous Researchmentioning

confidence: 99%

A Normal University’s Disciplinary Instruction: A Close Look at Book Lending

Liu

2023

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To investigate rules that represent the reader group's reading preferences and support disciplinary instruction at a normal university, the researcher collects library borrowing data from 10 departments from 2013 to 2022 at Nanjing Normal University (NNU) as the research samples and divides the 10 departments into three groups based on the peak data load of borrowing. The researcher creates a number matrix to represent the recurrent number of books department readers borrowed in order to ascertain the affinity of faculties, uses SPSS modeler and SPSS to develop an apriori model for the study of the association rules of borrowed books as well as multivariate linear equations for the impact of significant departments on various sorts of book borrowing, applies the Kruskal-Wallis H test to see if there are any differences in the borrowing of literary works among the four departments in Group II, and uses Gephi to construct co-borrowing network diagrams of the Top 10, Top 100, Top 300, and Top 500 books in a department in order to visualize repeated borrowing in an intelligible way. This study sheds light on university lecturers' and students' reading habits from the perspective of library borrowing statistics.

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Statistical methods used in Arabic journals of library and information science

Cited by 8 publications

References 23 publications

Statistical analysis used in LIS research produced by Pakistani authors

Statistical analysis used in LIS research produced by Pakistani authors

A review on method entities in the academic literature: extraction, evaluation, and application

A Normal University’s Disciplinary Instruction: A Close Look at Book Lending

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