scholarly journals Empirical Research on Pedagogical Dictionary Use in Recent 30 Years

2019 ◽  
Vol 8 (6) ◽  
pp. 103
Author(s):  
Qian Li
Keyword(s):  
Data Analysis ◽  
Empirical Research ◽  
Empirical Studies ◽  
Research Trends ◽  
Descriptive Statistics ◽  
Research Trend ◽  
Research Topics ◽  
The Past ◽  
Using Data ◽  
Dictionary Use

Research on dictionary use is a relatively new field in lexicography. Among them, the empirical studies which were few before 1990s has gained ground over recent three decades. Using data of 35 articles from International Journal of Lexicography (1987–2017), this study renders an analysis of the empirical research trends in the field of dictionary use. The analysis mainly focuses on the research topics, research methodology, and the changes that have occurred in the field. The results show that while some hot topics (e.g., the effectiveness of dictionary use or of certain dictionary information) have remained popular over the past two decades, some topics, e.g., the exploration of dictionary using process have received an increasing attention, but some others, e.g., the investigation on habits and needs of dictionary use, have witnessed a decrease of interest recently. Furthermore, researchers have improved the methodological standards for recent studies. As for data analysis, more complicated statistic approaches, rather than pure descriptive statistics, have been adopted. Finally, based on the analysis on previous studies, this paper offers suggestions for further research trend.

scholarly journals Promoting Energy Performance Contracting for Achieving Urban Sustainability: What is the Research Trend?

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1443 ◽  
Author(s):  
Zhang ◽  
Yuan
Keyword(s):  
Business Models ◽  
Energy Performance ◽  
Research Trends ◽  
Research Trend ◽  
Future Research ◽  
Major Research ◽  
Research Topics ◽  
Performance Contracting ◽  
The Past ◽  
Energy Performance Contracting

The increasing demand for applying energy performance contracting (EPC) for urban energy conservation has resulted in a significant amount of publications over the past decade. This study tries to identify future research trends in the subject of EPC through analyzing 127 journal papers published from 2008 to 2018. Based on the analysis and discussion of the EPC research, several main research trends were identified. The research results reveal an increasing research interest in EPC over the period. The findings imply that case study is the major research method and descriptive analysis and statistical analysis are primarily used for data analysis. In addition, EPC research in the past decade focused on five major research topics, which are ‘implementation of EPC projects’, ‘EPC mechanism and business models’, ‘decision-making in EPC projects’, ‘Energy Service Companies (ESCOs) in EPC projects’, and ‘risk management in EPC projects’. Based on the five research topics, future research trends and directions in EPC were identified as well. The findings of this study can be informative and valuable for guiding future research in EPC, and are particularly helpful for researchers who are keen to open a new window of investigating EPC issues worldwide.

Gendered Massacres: Examining the Effects of Cultural and Structural Gender Inequality on the Incidence of Mass Public Shootings

2020 ◽  
Vol 35 (6) ◽  
pp. 885-905
Author(s):  
Margaret Schmuhl ◽  
Joel A. Capellan
Keyword(s):  
Empirical Research ◽  
Gender Inequality ◽  
Social Problem ◽  
Empirical Studies ◽  
Cultural Factors ◽  
Future Research ◽  
The Past ◽  
Mass Public ◽  
Gender Hierarchy

With nearly 97% of incidents within the past 40 years committed by men, mass public shootings are a gendered social problem. Yet, empirical research on this phenomenon largely neglects gender hierarchy and cultural factors as predictors, in favor of individual- and event-level characteristics. Despite calls from scholars to place masculinity and threats to patriarchal hegemony at the center of analyses, no empirical studies to our knowledge have examined the role of gender inequality in mass public shootings. The findings indicate that gender inequality, structural and ideological, are important predictors of mass public shootings and that future research should continue to investigate such violence from a gendered lens.

scholarly journals Doctoral Dissertation Research Trend: A Comparative Study of Postgraduate Programs in Education Universities

2020 ◽  
Author(s):  
Ivan Hanafi ◽  
Tuti Iriani ◽  
Taryudi . ◽  
M Agphin Ramadhan
Keyword(s):  
Education Research ◽  
Content Analysis ◽  
Data Analysis ◽  
Data Collection ◽  
Research Methods ◽  
Doctoral Dissertation ◽  
Research Trends ◽  
Research Trend ◽  
Study Program ◽  
Dissertation Research

The purpose of this study was to analyze the research trends in the doctoral dissertation program over the past three years (2016 - 2018). A qualitative approach with content analysis methods was conducted at 4 universities, selected from 12 universities of the Teacher Education and Training Institute, namely Univeristas Pendidikan Indonesia, Universitas Negeri Yogyakarta, Universitas Negeri Surabaya and Universitas Negeri Jakarta. Sample in this study were study program at Educational Management, Language Education, Sports Education, Basic Education, and Education Research and Evaluation. A total of 327 dissertation were analyzed, consisted 36 dissertations from UPI, 32 dissertations from UNY, 35 dissertations from UNESA, and 224 dissertations from UNJ. The parameters used to analyze the study was focus on research issues and themes, theories used, research methods, data collection techniques, sampling techniques and data analysis techniques, novelty, citations and reading sources. The results showed in the last 3 years, UNJ produced higher numbers of dissertation compared to others university. While others, less than 40 dissertations were selected. Education research trends in each study program are very diverse, ranging from issues and research themes, research methods used to data analysis. Majority of the research methods used were descriptive qualitative, quantitative and R&D, data collection using questionnaires, observations, interviews, and documents, while data analysis uses more descriptive analysis. Keywords: Content analysis, Educational research, Dissertation research trends

Postauthoritarian Elections

1993 ◽  
Vol 26 (3) ◽  
pp. 330-349 ◽  
Author(s):  
ARTHUR W. TURNER
Keyword(s):  
Comparative Research ◽  
Empirical Studies ◽  
Electoral Behavior ◽  
Power Relationships ◽  
Authoritarian Rule ◽  
Parliamentary Elections ◽  
The Past ◽  
Future Success ◽  
High Turnout ◽  
Using Data

The past two decades have seen a resurgence of democracy in formerly autocratic countries. The behavior of the electorate in each first election following a period of authoritarian rule is closely watched for clues to the future success of democracy. Yet the scarcity of empirical studies of similar elections has left us with little more than commonsense expectations to guide our analysis. This article empirically tests several of these expectations, using data from earlier postauthoritarian parliamentary elections. Expectations of unusually high turnout could not be supported, but future levels of turnout are affected by the timing of subsequent elections. The large number of newly formed parties competing in a postauthoritarian election seldom persist, and prediscontinuity power relationships among surviving parties are generally preserved. Expectations that postauthoritarian elections are followed by a period of volatile electoral behavior could not be supported. Parties that finish first in postauthoritarian elections also finish first in the next election. The article concludes that these elections are not sufficiently different from other elections to warrant their exclusion from comparative research.

scholarly journals Bibliometric Keyword Analysis across Seventeen Years (2000–2016) of Intelligence Articles

2018 ◽  
Vol 6 (4) ◽  
pp. 46 ◽  
Author(s):  
Bryan Pesta ◽  
John Fuerst ◽  
Emil Kirkegaard
Keyword(s):  
Factor Analysis ◽  
Web Of Science ◽  
Research Trends ◽  
Regression Analyses ◽  
Research Topics ◽  
Keyword Analysis ◽  
The Past ◽  
Ability Factor ◽  
Citation Counts ◽  
Shed Light

An article’s keywords are distinct because they represent what authors feel are the most important words in their papers. Combined, they can even shed light on which research topics in a field are popular (or less so). Here we conducted bibliometric keyword analyses of articles published in the journal, Intelligence (2000–2016). The article set comprised 916 keyword-containing papers. First, we analyzed frequencies to determine which keywords were most/least popular. Second, we analyzed Web of Science (WOS) citation counts for the articles listing each keyword and we ran regression analyses to examine the effect of keyword categories on citation counts. Third, we looked at how citation counts varied across time. For the frequency analysis, “g factor”, “psychometrics/statistics”, and “education” emerged as the keywords with the highest counts. Conversely, the WOS citation analysis showed that papers with the keywords “spatial ability”, “factor analysis”, and “executive function” had the highest mean citation values. We offer tentative explanations for the discrepant results across frequencies and citations. The analysis across time revealed several keywords that increased (or decreased) in frequency over 17 years. We end by discussing how bibliometric keyword analysis can detect research trends in the field, both now and in the past.

scholarly journals Research Trends and Correlation Analysis of Technological Innovation and Absorptive Capacity

2021 ◽  
Vol 12 (6) ◽  
pp. 792-801
Author(s):  
Eun-Mi Park Et.al
Keyword(s):  
Data Analysis ◽  
Technological Innovation ◽  
Absorptive Capacity ◽  
Research Trends ◽  
Unstructured Data ◽  
Research Trend ◽  
Text Data ◽  
R Program ◽  
Innovation Capacity ◽  
Text Data Analysis

The purpose of this study is to identify the research trend of innovation capacity and technological innovation that are recently required in companies. This was done by collecting and analyzing dissertation abstracts from Springer and Scopus, which are websites with a collection of dissertations. For the research method, this study used NetMiner 4 and R program for text data analysis amongst unstructured data analysis, and analysis methods like keyword network analysis, LDA, and TreeMap were applied. The analysis results showed that there is a difference in the importance of technological innovation and absorptive capacity of Springer and Scopus

National and international trends in library and information science research: A comparative review of the literature

IFLA Journal ◽  
2019 ◽  
Vol 46 (3) ◽  
pp. 234-249 ◽  
Author(s):  
Mallikarjun Dora ◽  
H. Anil Kumar
Keyword(s):  
Information Science ◽  
Science Research ◽  
International Perspective ◽  
Research Trends ◽  
Research Trend ◽  
Library And Information Science ◽  
Research Topics ◽  
Research Papers ◽  
International Trends ◽  
Comparative Review

The study is an attempt to understand the trends in LIS research by analyzing published literature on the topic. The study identifies and analyses 39 research papers on LIS research trends in various countries, three papers on LIS research trends in regional countries and 13 papers on LIS research trends with an international perspective. The findings of the study reveal that there is a similarity among various countries as far as the LIS research topics are concerned but with a different focus at different periods. While understanding international research trends in LIS, it was interesting to note that the research trend in China was similar to the worldwide research trend while the pattern in other countries differed.

scholarly journals Tracking research trends and hotspots in sperm DNA fragmentation testing for the evaluation of male infertility: a scientometric analysis

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Saradha Baskaran ◽  
Ashok Agarwal ◽  
Manesh Kumar Panner Selvam ◽  
Renata Finelli ◽  
Kathy Amy Robert ◽  
...  
Keyword(s):  
Dna Fragmentation ◽  
Research Trends ◽  
Terminal Deoxynucleotidyl Transferase ◽  
Research Trend ◽  
Scientometric Analysis ◽  
Sperm Dna Fragmentation ◽  
The Past ◽  
Sperm Dna ◽  
Clinical Scenarios ◽  
Increasing Trend

Abstract Background This article describes the research trends in sperm DNA fragmentation (SDF) over the past 20 years (1999–2018) using a scientometric approach. Methods A stepwise approach was adopted to retrieve scientometric data (articles per year, authors, affiliations, journals, countries) from Scopus and analyze the publication pattern of SDF with reference to key areas of research in the field of Andrology. Results A total of 2121 articles were retrieved related to SDF. Our data revealed an increasing research trend in SDF (n = 33 to n = 173) over the past 20 years (R2 = 0.894). Most productive country in publications was the USA (n = 450), while Agarwal A. (n = 129) being the most productive author. Most of the articles in SDF were primarily focused on lifestyle (n = 157), asthenozoospermia (n = 135) and varicocele (130). Mechanistic studies on SDF were published twice as much as prognostic/diagnostic studies, with significant emphasis on oxidative stress. Terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) was the most widely used technique to evaluate SDF. Publications on SDF related to assisted reproductive techniques also showed a linear increasing trend (R2 = 0.933). Conclusions Our analysis revealed an increasing trend in SDF publications predominantly investigating lifestyle, asthenozoospermia and varicocele conditions with TUNEL being the most widely used technique. A substantial increase in research is warranted to establish SDF as prognostic/diagnostic parameter to evaluate clinical scenarios and ART outcomes.

scholarly journals Pattern of Research Trend Emerging from Small Data

2020 ◽  
Vol 5 (2) ◽  
pp. 1-2
Author(s):  
Ji-Dong Gu ◽  
Keyword(s):  
Research Trend ◽  
Future Research ◽  
Main Stream ◽  
Small Data ◽  
Important Research ◽  
Biotechnological Application ◽  
Research Topics ◽  
The Past ◽  
Access Mode ◽  
Thermophilic Organisms

Identification and prediction of the current ongoing and future research trends are critically important to research scientists to be on track of the significantly important topics and also ahead of the others if all possible. Such information can be extrapolated by mining the existing data available from different databases to delineate the important research topics that many are working on and also the emerging ones that attract attention. Because of the readily availability of online published articles in Open Access mode and instant information in real time on viewing number, read and citations, a simple summary of the papers published in this journal over the past 4 years indicated clearly the most viewed research articles and topics are in line with the main stream information available, namely novel dehalogenase, thermophilic organisms and biotechnological application in bioleaching, souring inhibition in oil reservoirs, and the current public interest on plastics. This information can be used in refining one’s specific research to target for popularity and visibility.

scholarly journals Description of Scientific Normality, Attitudes of Investigation and Interested Career On Physics in Senior High School

2019 ◽  
Vol 4 (2) ◽  
pp. 56 ◽  
Author(s):  
Astalini Astalini ◽  
Dwi Agus Kurniawan ◽  
Deti Kurnia Sari ◽  
Wawan Kurniawan
Keyword(s):  
High School ◽  
Data Analysis ◽  
Quantitative Data ◽  
Qualitative Data ◽  
Senior High School ◽  
Descriptive Statistics ◽  
Analysis Techniques ◽  
Quantitative Data Analysis ◽  
Students Attitudes ◽  
Using Data

The purpose of this study was to determine the description of students' attitudes towards physics in Senior High School 8 Jambi City of Indonesia. This research is quantitative-qualitative research with survey research procedures. The subjects of this study were 170 students. The instruments used were questionnaires and interview sheets. Quantitative data analysis using descriptive statistics while qualitative data analysis using data analysis techniques model Miles and Huberman. The results of the 3 aspects of attitude indicators discussed in this study are on the indicator of normality of scientists as much as 60% are categorized quite good. While the attitude towards investigation in physics is 51% in the good category. Then in the indicator of interest in a career in the field of physics as much as 58% of students are categorized well.

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