Understanding Constraints to the Development of the Agricultural Sector in Oman: an Application of the Theory of Planned Behaviour
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Reverse Linkage Development Through South-South Cooperation
Reverse Linkage Development through South-South Cooperation Reverse Linkage Development through South-South Cooperation Reverse Linkage Development through South-South Cooperation REVERSE LINKAGE DISCLAIMER The views outlined in the publication do not necessarily reflect the policy position of the Islamic Development Bank (IsDB). The IsDB does not make any representation on warranty as to the accuracy or completeness or otherwise of the publication, or any assumption on which the publication may be based. Neither the IsDB nor any person acting on their behalf may be held responsible for the use which may be made of the information contained therein. The views expressed in this information product are those of the authors and do not necessarily reflect the views or policies of the publisher. ISBN 978-0-9956487-2-2 Original title: Reverse Linkage Text © Islamic Development Bank. All rights reserved. Photographs © as per credits Printed in the UK by Gomer Press Ltd. Published in 2018 by Tudor Rose Tudor House, 6 Friar Lane, Leicester, LE1 5RA, United Kingdom +44 116 222 9900 www.tudor-rose.co.uk ii DEVELOPMENT THROUGH SOUTH-SOUTH COOPERATION Acknowledgements Compiled by Sean Nicklin and Ben Cornwell at Human Development Forum, Tudor Rose IsDB Reverse Linkage Team Edited and designed by Leigh Trowbridge, Tudor Rose With thanks to all the authors listed in the contents section for their support in making REVERSE LINKAGE possible. African Capacity Building Foundation Arab Bank for Economic Development in Africa Azerbaijan International Development -
Getting Started Guide Version 2.4 (November 2020) 1
Quirkos Getting started guide Version 2.4 (November 2020) 1 Contents Introduction p2 Installation p3 Your first project p4 Button by button guide p6 Step-by-step guide p7 Exports and reports p12 Tips and Tricks p13 Next Steps p14 2 Introduction Quirkos is a simple and visual tool to help with the qualitative analysis of text data. It is identical on Windows, Mac and Linux, so this guide applies to all platforms. Here are a few things to bear in mind as you learn Quirkos for the first time: Quirkos can store your projects in our secure cloud server, or in one project file on your computer. Everything is in one file for easy backup and sharing. Quirkos saves your work as you go, so there is no manual save button, but no risk of losing your work. Add your data to the project from txt, rtf, csv, Word (docx) or PDF files, or copy and paste from any other source. Describe your sources in any way with the source properties, such as age or gender, or type of source and comments. Your themes or topics are shown as bubbles on the left side of the screen. As you drag and drop sections of text to them they will grow. Drag and drop text onto the Memos column to add a note and record your thoughts and observations At any stage of your coding, you can create many different types of exports: detailed reports, coded transcripts for Word, or spreadsheets for statistical analysis. 3 Installation You can download the full version of Quirkos from our website, or from one of our USB sticks. -
Qualitative Data Analysis Software: a Call for Understanding, Detail, Intentionality, and Thoughtfulness
MSVU e-Commons ec.msvu.ca/xmlui Qualitative data analysis software: A call for understanding, detail, intentionality, and thoughtfulness Áine M. Humble Version Post-print/Accepted manuscript Citation Humble, A. M. (2012). Qualitative data analysis software: A call for (published version) understanding, detail, intentionality, and thoughtfulness. Journal of Family Theory & Review, 4(2), 122-137. doi:10. 1111/j.1756- 2589.2012.00125.x Publisher’s Statement This article may be downloaded for non-commercial and no derivative uses. This article appears in the Journal of Family Theory and Review, a journal of the National Council on Family Relations; copyright National Council on Family Relations. How to cite e-Commons items Always cite the published version, so the author(s) will receive recognition through services that track citation counts. If you need to cite the page number of the author manuscript from the e-Commons because you cannot access the published version, then cite the e-Commons version in addition to the published version using the permanent URI (handle) found on the record page. This article was made openly accessible by Mount Saint Vincent University Faculty. Qualitative Data Analysis Software 1 Humble, A. M. (2012). Qualitative data analysis software: A call for understanding, detail, intentionality, and thoughtfulness. Journal of Family Theory & Review, 4(2), 122-137. doi:10. 1111/j.1756-2589.2012.00125.x This is an author-generated post-print of the article- please refer to published version for page numbers Abstract Qualitative data analysis software (QDAS) programs have gained in popularity but family researchers may have little training in using them and a limited understanding of important issues related to such use. -
English and Arabic) Is Monitored to Maintain Awareness of Topics Related to ICBA Mandate
1999 - 2009 Celebrating 10 years of achievements Integrated Water Marginal Quality Capacity Building and Resource System Water Resources Knowledge-sharing ANNUAL REPORT 2009 (1429-30H) INTERNATIONAL CENTER FOR BIOSALINE AGRICULTURE MISSION To demonstrate the value of marginal and saline water resources for the production of economically and environmentally useful plants, and to transfer the results of our research to national research services and communities. MANDATE ICBA will help water-scarce countries improve the productivity, social equity and environmental sustainability of water use through an integrated water resource system approach, with special emphasis on the effective use of marginal quality water. Annual Report 2009 (1429-30H) International Center for Biosaline Agriculture ©2010 Published by the International Center for Biosaline Agriculture (ICBA) PO Box 14660 Dubai United Arab Emirates All rights reserved. The material presented in this publication does not imply the expression of any opinion on the part of ICBA concerning the legal status of any country or area. ICBA encourages fair use of this material. Proper citation is requested. Published, printed and bound in the United Arab Emirates. ISBN 978-92-95053-05-1 Correct citation: Annual Report 2009. International Center for Biosaline Agriculture, Dubai, United Arab Emirates, 2010. ICBA ANNUAL REPORT 2009 (1429-30H) CONTENTS Foreword . .3 Message . .4 Board of Trustees . .5 Board of Directors . .6 Research Programs . .7 Integrated Water Resource System . .9 Within the region . .9 NASA’s MENA-LDAS . .9 National Strategy to Combat Salinity and Develop Protection of Water Resources from Pollution and Salinity in the Sultanate of Oman . .10 Feasibility of Managed Aquifer Recharge (MAR) using excess treated wastewater in Oman10 Within the United Arab Emirates . -
Qualitative Research 1
Qualitative research 1 Dr Raqibat Idris, MBBS, DO, MPH Geneva Foundation for Medical Education and Research 28 November 2017 From Research to Practice: Training Course in Sexual and Reproductive Health Research Geneva Workshop 2017 Overview of presentation This presentation will: • Introduce qualitative research, its advantages, disadvantages and uses • Discuss the various approaches to qualitative design Introduction • Qualitative research is a study done to explain and understand the meaning or experience of a phenomenon or social process and the viewpoints of the affected individuals. • Investigates opinions, feelings and experiences. • Understands and describes social phenomena in their natural occurrence- holistic approach. • Does not test theories but can develop theories. Mason, 2002 Features of qualitative research • Exploratory • Fluid and flexible • Data-driven • Context sensitive • Direct interaction with affected individuals Mason, 2002 Advantages and disadvantages Advantages: • Richer information • Deeper understanding of the phenomenon under study Disadvantages: • Time consuming • Expensive • Less objective • Findings cannot be generalized Mason, 2002 Uses of qualitative studies Exploratory or pilot study: • Precedes a quantitative study to help refine hypothesis • Pilot study to examine the feasibility of a program/ project implementation • Designing survey questionnaires • To improve the reliability, validity and sensibility of new or existing survey instruments in a new population Green, 2013 Uses of qualitative studies To explain quantitative data findings: • Can follow a quantitative research to help provide a deeper understanding of the results. For example, the use of ethnography to explain the social context in which mortality and birth rate data are produced. • Parallel studies in a mixed qualitative and quantitative design to provide greater understanding of a phenomenon under study. -
Current Issues in Qualitative Data Analysis Software (QDAS): a User and Developer Perspective
The Qualitative Report Volume 23 Number 13 Article 5 3-6-2018 Current Issues in Qualitative Data Analysis Software (QDAS): A User and Developer Perspective Jeanine C. Evers Erasmus University of Rotterdam, [email protected] Follow this and additional works at: https://nsuworks.nova.edu/tqr Part of the Law Commons, Quantitative, Qualitative, Comparative, and Historical Methodologies Commons, and the Social Statistics Commons Recommended APA Citation Evers, J. C. (2018). Current Issues in Qualitative Data Analysis Software (QDAS): A User and Developer Perspective. The Qualitative Report, 23(13), 61-73. https://doi.org/10.46743/2160-3715/2018.3205 This Article is brought to you for free and open access by the The Qualitative Report at NSUWorks. It has been accepted for inclusion in The Qualitative Report by an authorized administrator of NSUWorks. For more information, please contact [email protected]. Current Issues in Qualitative Data Analysis Software (QDAS): A User and Developer Perspective Abstract This paper describes recent issues and developments in Qualitative Data Analysis Software (QDAS) as presented in the opening plenary at the KWALON 2016 conference. From a user perspective, it reflects current features and functionality, including the use of artificial intelligence and machine learning; implications of the cloud; user friendliness; the role of digital archives; and the development of a common exchange format. This user perspective is complemented with the views of software developers who took part in the “Rotterdam Exchange Format Initiative,” an outcome of the conference. Keywords Qualitative Data Analysis Software, QDAS, Artificial Intelligence, Machine Learning, TLA AS.ti, Cassandre, Dedoose, f4analyse, MAXQDA, NVivo, QDA Miner, Quirkos, Transana, Exchange format, Interoperability, Qualitative Data Analysis, Learning Curve QDAS, Textual Data Mining, Cloud services. -
The Value of CAQDAS for Systematising Literature Reviews
BY DR. CHRISTINA SILVER, [email protected] RESEARCH FELLOW, UNIVERSITY OF SURREY The value of CAQDAS for systematising literature reviews Software designed to facilitate qualitative and mixed methods research is collectively known as CAQDAS Undertaking a literature review is similar to con- (Computer Assisted Qualitative Data AnalysiS). ducting a qualitative data analysis (QDA) in terms Available since the 1980s it provides tools designed of the analytic activities involved (Table 2.). Specific to support a range of analytic activities across disci- analytic requirements should drive the way tools are plines and sectors. Using references from bibliographic used rather than the availability of product features software (e.g. Endnote, Zotero, Mendeley) enables systematic literature reviewing, integrated with data Table 2. analysis. This article outlines some possibilities, high- Analytic activities supported by CAQDAS lighting considerations in planning a literature review for librarians and others. Integration revy revy • Bring together all relevant material into one “workspace” • Quantify qualitative data / qualify quantitative data 01 2016 01 What CAQDAS packages “do”? Organisation The acronym “CAQDAS” is misleading because • Manage facts about data (metadata, socio-demo- these programs do not “do” analysis; users remain in graphics etc.) control of and responsible for everything. It’s there- • Represent ideas that form the basis of analysis fore better to think of them as project management tools. Harnessing CAQDAS powerfully involves their Exploration use from start to finish, whether for an academic • Familiarise with data study, service evaluation, public consultation, liter- • Access and mark inherent structure ature review, or anything else. Each program has a suite of features, too many to list here. -
Qualitative Data Sharing and Re-Use for Socio-Environmental Systems Research: a Synthesis of Opportunities, Challenges, Resources and Approaches
Qualitative data sharing and re-use for socio-environmental systems research: A synthesis of opportunities, challenges, resources and approaches SESYNC WHITE PAPER Lead authors: Kristal Jones and Steven M. Alexander National Socio-Environmental Synthesis Center Lead authors: Kristal Jones (SESYNC) and Steven M. Alexander (Science Advisor, Canadian Department of Fisheries and Oceans) Contributing authors (in alphabetical order): Nathan Bennett (University of British Columbia and Stanford University), Libby Bishop (UK Data Service and UK Data Archive - University of Essex), Amber Budden (DataONE), Michael Cox (Dartmouth University), Mercè Crosas (Harvard University), Eddie Game (The Nature Conservancy), Janis Geary (University of Alberta), Charlie Hahn (University of Washington), Dean Hardy (SESYNC), Jay Johnson (University of Kansas), Sebastian Karcher (Qualitative Data Repository), Matt LaFevor (University of Alabama), Nicole Motzer (SESYNC), Patricia Pinto da Silva (NOAA), Jeremy Pittman (University of Waterloo), Heather Randell (SESYNC), Julie Silva (University of Maryland), Joseph Smith (University of Maryland), Mike Smorul (Nava Public Benefit Corporation, formerly at SESYNC), Carly Strasser (Collaborative Knowledge Foundation), Colleen Strawhacker (National Snow & Ice Data Center), Andrew Stuhl (Bucknell University), Nicholas Weber (University of Washington), Deborah Winslow (National Science Foundation) This white paper present a summary and extension of discussions that occurred during a workshop supported by the National Socio-Environmental Synthesis Center (SESYNC) and held at the SESYNC offices in Annapolis, MD on February 28-March 2, 2017. All contributing authors listed below were workshop participants, and so contributed to the discussion that informed and/or writing of the white paper. The National Socio-Environmental Synthesis Center (SESYNC) is supported under funding received from the National Science Foundation DBI-1052875. -
Oman-Factsheet
Agricultural R&D Indicators Factsheet | September 2014 OMAN Gert-Jan Stads, Saleem Nadaf, Raed Badwan, Hamid Galoub Ali, Ahmed Al-Bakri, and Michael Rahija KEY INDICATORS, 2009–2012 Total Public Agricultural Research Spending 2009 2012 Omani rial (million constant 2005 prices) 11.0 13.1 PPP dollars (million constant 2005 prices) 81.4 97.0 Overall Growth | 19% | Total Number of Public Agricultural Researchers Full-time equivalents (FTEs) 193.3 243.6 Overall Growth | 26% | Agricultural Research Intensity Spending as a share of agricultural GDP 4.99% 6.51% FTE researchers per 100,000 farmers 63.80 63.60 Note: Acronyms, definitions, and an overview of agricultural R&D agencies are available on page 4. Based on increased government support, The number of agricultural In addition to large capital agricultural R&D spending rose by roughly researchers employed at investments in agricultural research one-third during 2007–2012. At 6.5 percent, Oman’s main agricultural and infrastructure, the government Oman’s agricultural research intensity ratio fisheries research agencies, demonstrated its commitment to (investment in agricultural research as a share DGALR and DGFR, increased agricultural R&D through a number of agricultural GDP) is among the highest substantially during 2009–2012, of important policy and institutional in the world, but such high ratios are not although most of the new changes, including the 2011 uncommon in countries with small populations recruits were only qualified to establishment of TRC and the 2012 and relatively high -
Research Report 2014
ANNUAL RESEARCH REPORT 2014 VOLUME XX CAMS RESEARCH 2014 FACTS & FIGURES 3,139,283.204 RO Total Budget 62 Research Projects in Total 29 Internal Grant Projects (10 awarded in 2014) 5 Strategic Projects (1 awarded in 2014) 28 Other Externally-Funded Projects (9 awarded in 2014) 376 Publications 109 Refereed Journals 6 Books (5 edited) 57 Book Chapters 165 Conference Presentations 14 Technical Reports 25 Others Annual Research Report 2014 Volume XX ii iii Table of Contents Page Foreword viii Research Committee in 2014 ix Introduction 3 Research Projects and Budgets 3 Internal Grant Research and Development Projects 4 His Majesty‘s Strategic Research Projects 7 Other Externally-Funded Research Projects 8 University Day 2014 15 Some Significant Research Completed in 2014 24 Summary of Internal Grant Projects Awarded in 2014 34 Summary of Strategic Research Proj Awarded in 2014 46 Research by Graduate Students Summary of Research Proposals - PhD Students 48 Thesis Abstracts of Postgraduate Students who 65 Graduated in 2014 (PhD & MSc) International Collaborations 96 Publications in 2014 106 Appendix - CAMS Research Profile in 2014 144 iv v List of Tables Table Title Page 1 Summary of research and development projects in 2014 3 2 Internally-funded research and development projects 4 awarded in 2014 3 Ongoing in 2014 - internally-funded research and 5 development projects awarded from previous years 4 Internally-funded research and development projects 6 completed in 2014 5 Strategic research project awarded in 2014 funded 7 through -
Ethnography As an Inquiry Process in Social Science
ETHNOGRAPHY AS AN INQUIRY PROCESS IN SOCIAL SCIENCE RESEARCH Ganga Ram Gautam ABSTRACT This article is an attempt to present the concept of ethnography as a qualitative inquiry process in social science research. The paper begins with the introduction to ethnography followed by the discussion of ethnography both as an approach and a research method. It then illustrates how ethnographic research is carried out using various ethnographic methods that include participant observation, interviewing and collection of the documents and artifacts. Highlighting the different ways of organizing, analyzing and writing ethnographic data, the article suggests ways of writing the ethnographic research. THE INQUIRY PROCESS Inquiry process begins consciously and/or subconsciously along with the beginning of human life. The complex nature of our life, problems and challenges that we encounter both in personal and professional lives and the several unanswered questions around us make us think and engage in the inquiry process. Depending upon the nature of the work that one does and the circumstances around them, people choose the inquiry process that fits into their inquiry framework that is built upon the context they are engaged in. This inquiry process in education is termed as research and research in education has several dimensions. The inquiry process in education is also context dependent and it is driven by the nature of the inquiry questions that one wants to answer. UNDERSTANDING ETHNOGRAPHY Ethnography, as a form of qualitative research, has now emerged as one of the powerful means to study human life and social behavior across the globe. Over the past fifteen years there has been an upsurge of ethnographic work in British educational research, making ethnography the most commonly practiced qualitative research method. -
Research Techniques in Network and Information Technologies, February
Tools to support research M. Antonia Huertas Sánchez PID_00185350 CC-BY-SA • PID_00185350 Tools to support research The texts and images contained in this publication are subject -except where indicated to the contrary- to an Attribution- ShareAlike license (BY-SA) v.3.0 Spain by Creative Commons. This work can be modified, reproduced, distributed and publicly disseminated as long as the author and the source are quoted (FUOC. Fundació per a la Universitat Oberta de Catalunya), and as long as the derived work is subject to the same license as the original material. The full terms of the license can be viewed at http:// creativecommons.org/licenses/by-sa/3.0/es/legalcode.ca CC-BY-SA • PID_00185350 Tools to support research Index Introduction............................................................................................... 5 Objectives..................................................................................................... 6 1. Management........................................................................................ 7 1.1. Databases search engine ............................................................. 7 1.2. Reference and bibliography management tools ......................... 18 1.3. Tools for the management of research projects .......................... 26 2. Data Analysis....................................................................................... 31 2.1. Tools for quantitative analysis and statistics software packages ......................................................................................