scholarly journals PELATIHAN PLS-SEM MENGGUNAKAN SMARTPLS 3.0 DOSEN MATA KULIAH STATISTIKA FISIP UIN SUNAN GUNUNG DJATI BANDUNG

2021 ◽  
Vol 2 (2) ◽  
pp. 43
Author(s):  
Reny Rian Marliana
Keyword(s):  
Research Output ◽  
Mapping Data ◽  
Measurement Scales ◽  
Political Sciences ◽  
Practical Analysis ◽  
Statistics Courses ◽  
Quality Of Research ◽  
Data Analysis Methods ◽  
Variable Measurement

ABSTRAK Statistika memiliki peranan yang sangat penting pada sebuah penelitian. Dengan meningkatkan kompetensi di bidang Statistika, para peneliti akan mampu meminimumkan kesalahan yang dapat terjadi dan dapat meningkatkan kualitas output penelitian. Berdasarkan observasi, masih banyak dosen atau peneliti yang terpaku pada metode analisis tertentu dalam mengolah dan menguji hipotesis penelitian dari data yang dikumpulkan melalui sebuah kuesioner. Salah satu penyebabnya adalah kurangnya pemahaman dan kemampuan dalam menerapkan dan mengolah data menggunakan metode yang sesuai dengan karakteristik data yang dimiliki baik secara teori maupun secara praktik menggunakan software. Tujuan dari kegiatan ini adalah untuk memberikan pelatihan mengenai metode PLS-SEM menggunakan SmartPLS 3.0 dalam mengolah data yang diperoleh dari kuesioner pada Dosen mata kuliah Statistika di Fakultas Ilmu Sosial dan Ilmu Politik UIN Sunan Gunung Djati Bandung. Dalam pelatihan ini, peserta dibekali dengan pemaparan teori PLS-SEM meliputi tentang pemaparan atau review mapping metode analisis data, skala pengukuran variabel, teori dasar dari PLS-SEM serta praktikum menggunakan SmartPLS 3.0. Kegiatan ini mampu mengenalkan dan meningkatkan pemahaman serta kemampuan Dosen mata kuliah Statistika di Fakultas Ilmu Sosial dan Ilmu Politik UIN Sunan Gunung Djati Bandung dalam menerapkan metode PLS-SEM menggunakan SmartPLS 3.0. Dengan demikian, kegiatan ini juga mampu mendorong motivasi dosen dalam melaksanakan penelitian dan pengembangan transfer ilmu kepada mahasiswa. ABSTRACTStatistics has a very important role in a study. By increasing Statistics competence, researchers will be able to minimize errors and can improve the quality of research output. Based on observations, there are lecturers or researchers who tend to use certain methods on research hypotheses assessment on data which collected through questionaires. Caused by the lack of understanding and ability to choose a suitably method with the characteristics of the data both in theory and in practice using software. The aim of this activity is to provide training on the PLS-SEM method using SmartPLS 3.0 on data obtained from questionnaires for Lecturers of Statistics courses at the Faculty of Social and Political Sciences, UIN Sunan Gunung Djati Bandung. In this training, participants are provided with an explanation of PLS-SEM theory including review of mapping data analysis methods, variable measurement scales, basic theory of PLS-SEM with practical analysis using SmartPLS 3.0. Not only able to introduce and improve the understanding of Lecturers of Statistics courses at the Faculty of Social and Political Sciences UIN Sunan Gunung Djati Bandung on the application of the PLS-SEM method using SmartPLS 3.0, this activity also encourage lecturers' motivation in carrying out research and developing knowledge transfer to students.

Evaluating quality of science in CGIAR research programs: Use of bibliometrics

2021 ◽  
pp. 003072702110242
Author(s):  
Max Rünzel ◽  
Paolo Sarfatti ◽  
Svetlana Negroustoueva
Keyword(s):  
Review Process ◽  
Research Output ◽  
Monitoring And Evaluation ◽  
Bibliometric Indicators ◽  
Scientific Publications ◽  
Practical Utilization ◽  
Research Programs ◽  
First Time ◽  
Quality Of Research

When evaluating Quality of Science (QoS) in the context of development initiatives, it is essential to define adequate criteria. The objective of this perspective paper is to show how altmetric and bibliometric indicators have been used to support the evaluation of QoS in the 2020 Review of the Phase 2-CGIAR Research Programs (CRPs, 2017–2022), where, for the first time, the Quality of Research for Development (QoR4D) frame of reference has been utilized across the entire CGIAR CRP portfolio. Overall, the CRP review showed a significant output of scientific publications during the period 2017–2020, with 4,872 articles, 220,101 references, and 7.1 citations per article. Additionally, wider interest in scientific publications is demonstrated by good to high altmetrics, with average attention scores ranging from 70.8 to 806.9 with an average of 425.1. The use of selected bibliometrics was shown to be an adequate tool, for use together with other qualitative indicators to evaluate the QoS in the 12 CRPs. The CRP review process clearly demonstrated that standardized, harmonized and consistent data on research output is paramount to provide high-quality quantitative instruments and should be a priority throughout the transition toward One CGIAR. Therefore, we conclude that the QoR4D framework should be augmented by standardized bibliometric indicators embedded in measurement frameworks within the new One CGIAR. Finally, its practical utilization in monitoring and evaluation should be supported with clear guidelines.

Social Science Research in India

2017 ◽  
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Research Output ◽  
Social Science Research ◽  
Science Research ◽  
Vital Role ◽  
Reference Database ◽  
Data Infrastructure ◽  
Quality Of Research

Social science research (SSR) has a vital role in enriching societies, by generating scientific knowledge that brings insights—even enlightenment—in understanding the dynamics of human behaviour and development. For social sciences to realize their potential in shaping public policy, it is imperative that the research ecosystem is dynamic and vibrant; the institutions governing it are robust and effective; and those producing quality research are strong and well governed. This volume elaborates on various dimensions of SSR in India, presenting a strong case for designing a comprehensive national social science policy which can meaningfully strengthen and promote a research ecosystem for improved public policymaking in the country. Addressing issues like lack of funding, availability of data, infrastructure, and quality of research output, it will serve as a national benchmark and reference database for social sciences in India.

scholarly journals Research Trends and Perspectives on Domestic Tourism in Kenya: A Review

2021 ◽  
Vol 10(1) (10(1)) ◽  
pp. 288-301
Author(s):  
Peter Onyonje Osiako ◽  
Viktória Szente
Keyword(s):  
English Language ◽  
Research Output ◽  
Research Trends ◽  
Future Research ◽  
Domestic Tourism ◽  
The Subject ◽  
Quality Of Research ◽  
Different Parts ◽  
Unpublished Works

The quantity and quality of research output available on the subject of domestic tourism in Kenya is yet to be sufficiently documented. This review evaluates trends in the studies carried out on this subject and establishes perspectives revealed in these studies' findings. Methodologically, this is a conceptual review of integrative nature in which the reviewer summarized the findings of other studies conducted on domestic tourism in different parts of Kenya. Both published and unpublished works addressing domestic tourism in Kenya, and authored in the English language from January 1990 to August 2020 have been considered in the review. The reviewer used keywords to search relevant databases, arriving at thirty two pieces of work that were reviewed. The analysis focuses on themes covered by previous studies, methodologies used, and perspectives revealed in key findings. The review established a gap in existing literature in terms of quantity, quality, and scope, as discussed in the document. Recommendations are highlighted on ways to improve future research on domestic tourism in Kenya. This review will inform future approaches to research on domestic tourism in Kenya, for better policies and practice.

scholarly journals Preparatory education for cancer patients undergoing surgery: A systematic review of volume and quality of research output over time

2015 ◽  
Vol 98 (12) ◽  
pp. 1540-1549 ◽  
Author(s):  
Amy Waller ◽  
Kristy Forshaw ◽  
Jamie Bryant ◽  
Mariko Carey ◽  
Allison Boyes ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cancer Patients ◽  
Research Output ◽  
Quality Of Research ◽  
Over Time

scholarly journals Open Science Saves Lives: Lessons from the COVID-19 Pandemic

2020 ◽  
Author(s):  
Lonni Besançon ◽  
Nathan Peiffer-Smadja ◽  
Corentin Segalas ◽  
Haiting Jiang ◽  
Paola Masuzzo ◽  
...  
Keyword(s):  
Research Output ◽  
Open Science ◽  
Scientific Process ◽  
Science Practices ◽  
Link Type ◽  
Research Communities ◽  
Research Findings ◽  
Potential Impact ◽  
Quality Of Research

AbstractIn the last decade Open Science principles have been successfully advocated for and are being slowly adopted in different research communities. In response to the COVID-19 pandemic many publishers and researchers have sped up their adoption of Open Science practices, sometimes embracing them fully and sometimes partially or in a sub-optimal manner. In this article, we express concerns about the violation of some of the Open Science principles and its potential impact on the quality of research output. We provide evidence of the misuses of these principles at different stages of the scientific process. We call for a wider adoption of Open Science practices in the hope that this work will encourage a broader endorsement of Open Science principles and serve as a reminder that science should always be a rigorous process, reliable and transparent, especially in the context of a pandemic where research findings are being translated into practice even more rapidly. We provide all data and scripts at https://osf.io/renxy/.

scholarly journals How to find the right postdoctoral position for you

2019 ◽  
Vol 1 ◽  
pp. e6
Author(s):  
Dominic M. D. Tran ◽  
Aaron Veldre
Keyword(s):  
Research Output ◽  
Academic Career ◽  
Early Career ◽  
Early Career Researchers ◽  
Strong Focus ◽  
Postdoctoral Position ◽  
Academic Job Market ◽  
The Right ◽  
Quality Of Research

The increasingly competitive academic job market has forced PhD graduates in psychology, neuroscience, and related fields to maximize their research output and secure grant funding during the early postdoctoral period of their careers. In the present article, based on a Q&A session presented at a research retreat (Brain and Behaviour Lab, University of Sydney) in February 2018, we draw on our firsthand experiences of navigating the transition from graduate student to postdoc. We offer practical advice to students who may be nearing the end of their PhDs and planning their first steps toward an academic career. Although the postdoc experience is varied, it is important for early-career researchers to make optimal choices to increase their chances of securing a continuing academic position. Ultimately, the goal of a postdoctoral position should be to develop all the facets of an academic career, but with a strong focus on the quantity and quality of research outputs.

Institutional repositories as complementary tools to evaluate the quantity and quality of research outputs

2014 ◽  
Vol 63 (1/2) ◽  
pp. 46-59 ◽  
Author(s):  
Anabel Bonilla-Calero
Keyword(s):  
Research Evaluation ◽  
Research Output ◽  
Free Access ◽  
Content Type ◽  
Institutional Repositories ◽  
Evaluation Practice ◽  
Quality Of Research ◽  
Original Approach

Purpose – The aim of this study is to analyse the advantages of using an institutional repository (IR) as a complementary source to evaluate the research output produced by a university. Design/methodology/approach – The paper is based on previous studies where IRs have been used as source to analyse the research output. Findings – Some advantages of using repositories as a tool to evaluate research output are: they help to evaluate the research output from different perspectives, using multidimensional approaches that combine various factors and types of documents with free access to all researchers, evaluators and society in general. Practical implications – The paper is aimed at researchers and experts that use Web of Knowledge and Scopus services to evaluate the research output. It recommends that they consider using IRs as an additional, practical and complementary tool to traditional databases. Originality/value – To underline the advantages of using an IR as a complementary source in the evaluation of research outputs; this evaluative approach is not sufficiently appreciated in comparison with the role of traditional (non-open access) databases. Adopting this original approach would be a significant enhancement to current research evaluation practice.

scholarly journals Open science saves lives: lessons from the COVID-19 pandemic

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lonni Besançon ◽  
Nathan Peiffer-Smadja ◽  
Corentin Segalas ◽  
Haiting Jiang ◽  
Paola Masuzzo ◽  
...  
Keyword(s):  
Research Output ◽  
Open Science ◽  
Scientific Process ◽  
Science Practices ◽  
Link Type ◽  
Research Communities ◽  
Research Findings ◽  
Potential Impact ◽  
Quality Of Research

AbstractIn the last decade Open Science principles have been successfully advocated for and are being slowly adopted in different research communities. In response to the COVID-19 pandemic many publishers and researchers have sped up their adoption of Open Science practices, sometimes embracing them fully and sometimes partially or in a sub-optimal manner. In this article, we express concerns about the violation of some of the Open Science principles and its potential impact on the quality of research output. We provide evidence of the misuses of these principles at different stages of the scientific process. We call for a wider adoption of Open Science practices in the hope that this work will encourage a broader endorsement of Open Science principles and serve as a reminder that science should always be a rigorous process, reliable and transparent, especially in the context of a pandemic where research findings are being translated into practice even more rapidly. We provide all data and scripts at https://osf.io/renxy/.

Impact of Advent of Electronic Information Resources on Research

2019 ◽  
Vol 11 (2) ◽  
pp. 25-37
Author(s):  
Nazir Ahmad Bhat
Keyword(s):  
Positive Impact ◽  
Research Output ◽  
North India ◽  
Data Collection Tool ◽  
Electronic Information Resources ◽  
New Research ◽  
The Impact ◽  
Quality Of Research ◽  
Search Information

The study has been conducted with an objective to assess the impact of e-resources on seven aspects of research. Seven agricultural universities of North India were surveyed while using questionnaire as a data collection tool. The majority of respondents are of the opinion that due to advent of e-resources and in view of the ICT developments, they ‘feel much comfortable and competent to search information' and the changed scenario has enabled them to ‘generate new research ideas'. The quantity as well as quality of research has improved. A majority of the respondents are also of the opinion that their ‘research output finds more citations'. A majority of users are of the opinion that the problem of ‘duplication of research' has diminished while in contrast the menace of ‘plagiarism has increased'. A majority of the users agree that advent of e-resources has laid a positive impact except for the fact that ‘plagiarism' has enhanced.

scholarly journals Intra-Institutional Factors That Influence Accounting Research Productivity

2011 ◽  
Vol 17 (2) ◽  
Author(s):  
Steve Buchheit ◽  
Allison B. Collins ◽  
Denton L. Collins
Keyword(s):  
Research Productivity ◽  
Research Output ◽  
Font Size ◽  
Research Support ◽  
Accounting Faculty ◽  
The Past ◽  
Mentor Relationships ◽  
Controllable Factors ◽  
Quality Of Research

<p class="MsoNormal" style="text-align: justify; margin: 0in 37.8pt 0pt 0.5in; mso-pagination: widow-orphan; tab-stops: 387.0pt;"><span style="mso-bidi-font-style: italic;"><span style="font-size: x-small;"><span style="font-family: Batang;">This paper examines actionable factors that influence research output of accounting faculty.<span style="mso-spacerun: yes;">&nbsp; </span>Using a regression model, we investigate how internally controllable factors influence both the quantity and quality of research productivity.<span style="mso-spacerun: yes;">&nbsp; </span>We document and quantify how reduced teaching loads, greater research support, longer probationary periods, and proper allocations of time by faculty consistently lead to significantly increased research output.<span style="mso-spacerun: yes;">&nbsp; </span>Depending on the research output metric examined, we also find that fewer teaching preparations, more outside consulting and mentor relationships result in higher output. Our results update and complement the past survey and empirical findings of Cargile and Bublitz (1986), Chow and Harrison (1998) and Fogarty and Ruhl (1997).</span></span></span></p>

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