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Public Perceptions of Nigeria Police Monetary Bribery in Awka, Nigeria
Walden University ScholarWorks Walden Dissertations and Doctoral Studies Walden Dissertations and Doctoral Studies Collection 2021 Public Perceptions of Nigeria Police Monetary Bribery in Awka, Nigeria Benjamin Chukwuka Nnadozie Walden University Follow this and additional works at: https://scholarworks.waldenu.edu/dissertations Part of the Public Administration Commons This Dissertation is brought to you for free and open access by the Walden Dissertations and Doctoral Studies Collection at ScholarWorks. It has been accepted for inclusion in Walden Dissertations and Doctoral Studies by an authorized administrator of ScholarWorks. For more information, please contact [email protected]. Walden University College of Social and Behavioral Sciences This is to certify that the doctoral dissertation by Benjamin Chukwuka Nnadozie has been found to be complete and satisfactory in all respects, and that any and all revisions required by the review committee have been made. Review Committee Dr. Ernesto Escobedo, Committee Chairperson, Public Policy and Administration Faculty Dr. Raj Singh, Committee Member, Public Policy and Administration Faculty Dr. Meena Clowes, University Reviewer, Public Policy and Administration Faculty Chief Academic Officer and Provost Sue Subocz, Ph.D. Walden University 2021 Abstract Public Perceptions of Nigeria Police Monetary Bribery in Awka, Nigeria By Benjamin Chukwuka Nnadozie Dissertation Submitted in Partial Fulfullment of the Requirements for the Degree of Doctor of Philosophy Public Policy and Administration Walden University February 2021 Abstract The Nigerian police are often perceived by the Nigerian public as a very corrupt institution due to reports in the media and direct experiences of police brutality, extortion, injustice, and especially monetary bribery. The refusal to pay monetary bribes to the police has led to loss of lives and a lack of trust in the police. -
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. -
The Coding Manual for Qualitative Researchers for Manual Coding The
2E Second Edition The Coding Manual for Qualitative Researchers ‘This book fills a major gap in qualitative research methods courses. Saldaña has accomplished what has not been done before - creating a text that clearly identifies the many choices one has in coding their data. I wish I had this book when I started conducting qualitative research. It should be required reading for all.’ Mark Winton, Criminal Justice Instructor, University of Central Florida ‘An excellent handbook that helps demystify the coding process with a comprehensive assessment of different coding types, examples and exercises. As such it is a valuable teaching resource and it will also be of use to anyone undertaking qualitative analysis.’ Kevin Meethan, Associate Professor in Sociology, Plymouth University The ‘The Coding Manual describes the qualitative coding process with clarity and expertise. Its wide array of strategies, from the more straightforward to the more complex, are skillfully explained and exemplified. This extremely usable manual is a must-have resource for qualitative researchers at all levels.’ Coding Manual for Tara M. Brown, Assistant Professor of Education, Brandeis University The second edition of Johnny Saldaña’s international bestseller provides an in-depth guide to the Qualitative Researchers multiple approaches available for coding qualitative data. Fully up-to-date, it includes new chapters, more coding techniques and an additional glossary. Clear, practical and authoritative, the book: • Describes how coding initiates qualitative data analysis • Demonstrates the writing of analytic memos • Discusses available analytic software • Suggests how best to use The Coding Manual for Qualitative Researchers for particular studies In total, 32 coding methods are profiled that can be applied to a range of research genres from grounded theory to phenomenology to narrative inquiry. -
QDA Miner 6 Review. CAQDAS Networking Project 2020
Software Reviews : QDA Miner QDA Miner 6 - Distinguishing features This document is meant to be read in conjunction with the ‘Choosing a CAQDAS Package Working Paper’ which provides general commentary of common CAQDAS functionality. This document reviews QDA Miner version 6 which was released in September 2020. This review does not provide an exhaustive account of all QDA Miner’s functionality but highlights some of its distinguishing features. Please also see our review of WordStat, content analysis and text mining software also developed by Provalis Research which can be used in combination with QDA Miner. The Comment section at the end of this document details our opinions on certain aspects of functionality and usability. See also Silver & Lewins (2014) Using Software in Qualitative Research: A Step-by-Step Guide, Sage Publications and the Provalis Research website. Thanks to Normand Péladeau and Tony Ross for checking the accuracy of this document. Background https://provalisresearch.com/products/qualitative-data-analysis-software/ Developed by Normand Péladeau and colleagues at Provalis Research (Montreal, Canada), QDA Miner was released in 2004 as a mixed-methods software providing quantitative tools for analysing qualitative data as well as the common qualitative tools for qualitative data analysis. QDA Miner is part of a ‘Prosuite’ of three programs developed by Provalis Research that provide integrated text analysis tools - the other two programs are WordStat (content analysis and text mining software – which we review separately) and SimStat (statistical analysis and bootstrapping software). The Prosuite extends the range of exploration and analytic techniques allowing users to cross methodological boundaries. QDA Miner Lite is a free version (with a reduced set of features). -
Designing AI-Based Systems for Qualitative Data Collection and Analysis
Designing AI-Based Systems for Qualitative Data Collection and Analysis Zur Erlangung des akademischen Grades eines Doktors der Wirtschaftswissenschaften ( Dr. rer. pol. ) von der KIT-Fakultät für Wirtschaftswissenschaften des Karlsruher Instituts für Technologie (KIT) genehmigte DISSERTATION von Tim Rietz, M.Sc. ______________________________________________________________ Tag der mündlichen Prüfung: 01.07.2021 Referent: Prof. Dr. Alexander Mädche Korreferent: Prof. Dr. Paola Spoletini Karlsruhe Mai 2021 Acknowledgments Having started my PhD studies in December 2017, I remember the past three and a half years as a series of ups and downs, which probably goes for everything in life. Looking back at this exciting, inspiring, and challenging time, I distinctly remember many ups, while the downs seem almost forgotten. To a large extent, I attribute this to the wonderful people that I got to meet along the way, who never failed to make my time as a PhD student and as an IT consultant fun. Certainly, I want to thank my mentor and PhD supervisor Prof. Dr. Alexander M¨adche, for his guidance, inspiration, and feedback throughout my studies. While I did not know what to expect when I started my position at the institute, I quickly learned how lucky I was with my choice of a supervisor. Alexander always had an open door for my questions, ideas, and concerns. He also actively seeked updates on my process and encourage me to submit my research to prestigious outlets. I am incredibly grateful for your support. On that note, I also want to thank Prof. Dr. Paola Spoletini, Prof. Dr. Hagen Lindst¨adt, and Prof. Dr. -
Final Report
Phase-I Study of the E ects of Professional Development and Long-Term Support on Program Implementation and Scaling Up: Final Report Paul R. Brandon, Alice K. H. Taum, Carlos C. Ayala, Donald B. Young, Mary E. Gray, Thomas W. Speitel, Thanh Truc T. Nguyen, and Francis M. Pottenger III Curriculum Research & Development Group College of Education University of Hawai‘i at Mānoa Honolulu, Hawai‘i May 2007 Phase-I Study of the Effects of Professional Development and Long-Term Support on Program Implementation and Scaling Up: Final Report Paul R. Brandon, Alice K. H. Taum, Carlos C. Ayala, Donald B. Young, Mary E. Gray, Thomas W. Speitel, Thanh Truc T. Nguyen, and Francis M. Pottenger III Curriculum Research & Development Group College of Education University of Hawai‘i at Mānoa Honolulu, Hawai‘i May 2007 This is the final report of a project funded by the National Science Foundation (Grant No. REC0228158), Paul R. Brandon, Principal Investigator (PI), Donald B. Young, co-PI, and Alice K. H. Taum, Project Manager. Paul Brandon oversaw the project, with Donald Young’s assistance, and was in charge of developing the teacher questionnaire and the instrument for judging program quality. In addition to managing the project, Alice Taum was in charge of developing the observation coding protocol. Carlos Ayala of Sonoma State University developed the student assessment. Thomas Speitel and Mary Gray oversaw the development of the alternative version of professional development (PD) that is described in the study. Thanh Truc Nguyen contributed significantly to the development of the multimedia DVD-ROM that was developed as part of the alternative PD package. -
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. -
ATLAS.Ti 7 User Guide and Reference
1 ATLAS.ti 7 User Guide and Reference ATLAS.ti 7.1 USER MANUAL 2 ATLAS.ti 7 User Manual Copyright ©2013 by ATLAS.ti Scientific Software Development GmbH, Berlin. All rights reserved. Manual Version: 109.20131230. Updated for program version: 7.1.0 Author: Dr. Susanne Friese (QUARC Consulting) Programming/Design/Layout: Dr. Thomas G. Ringmayr (www.hypertexxt.com) Copying or duplicating this manual or any part thereof is a violation of applicable law. No part of this manual may be reproduced or transmitted in any form or by any means, electronic or mechanical, including, but not limited to, photocopying, without written permission from ATLAS.ti GmbH. Trademarks: ATLAS.ti is a registered trademark of ATLAS.ti Scientific Software Development GmbH. Adobe Acrobat is a trademark of Adobe Systems Incorporated; Microsoft, Windows, Excel, and other Microsoft products referenced herein are either trademarks of Microsoft Corporation in the United States and/or in other countries. Google Earth is a trademark of Google, Inc. All other product names and any registered and unregistered trademarks mentioned in this document are used for identification purposes only and remain the exclusive property of their respective owners. ATLAS.ti 7.1 USER MANUAL 3 Contents About this Manual .................................................................................................................... 6 Introduction .............................................................................................................................. 9 The VISE Principle -
Examining the Communication Strategies Utilized During an Organizational Change Within Universities’ Branch Campuses
University of New England DUNE: DigitalUNE All Theses And Dissertations Theses and Dissertations 8-2020 Examining The Communication Strategies Utilized During An Organizational Change Within Universities’ Branch Campuses Portia R. Stallworth University of New England Follow this and additional works at: https://dune.une.edu/theses Part of the Educational Leadership Commons, and the Higher Education Administration Commons © 2020 Portia R. Stallworth Preferred Citation Stallworth, Portia R., "Examining The Communication Strategies Utilized During An Organizational Change Within Universities’ Branch Campuses" (2020). All Theses And Dissertations. 326. https://dune.une.edu/theses/326 This Dissertation is brought to you for free and open access by the Theses and Dissertations at DUNE: DigitalUNE. It has been accepted for inclusion in All Theses And Dissertations by an authorized administrator of DUNE: DigitalUNE. For more information, please contact [email protected]. EXAMINING THE COMMUNICATION STRATEGIES UTILIZED DURING AN ORGANIZATIONAL CHANGE WITHIN UNIVERSITIES’ BRANCH CAMPUSES By Portia R. Stallworth Bachelor of Arts (University of South Alabama) 2011 Master of Science (University of West Alabama) 2014 A DISSERTATION Presented to the Affiliated Faculty of The College of Graduate and Professional Studies at the University of New England Submitted in Partial Fulfillment of Requirements For the degree of Doctor of Education Portland & Biddeford, Maine August, 2020 Copyright by Portia R. Stallworth 2020 ii Portia R. Stallworth August 2020 Educational Leadership EXAMINING THE COMMUNICATION STRATEGIES UTILIZED DURING AN ORGANIZATIONAL CHANGE WITHIN UNIVERSITIES’ BRANCH CAMPUSES Abstract In this interpretive phenomenological study, the researcher sought to understand the lived experiences of branch campus administrators’ perceptions of the communication strategies utilized during a pervasive organizational change. -
Content Analysis with Stata
Content Analysis with Stata M. Escobar([email protected]) y J.L. Alonso Berrocal([email protected]) Universidad de Salamanca 8th Spanish Stata Users Group meeting Madrid, 22th October-2015 Modesto Escobar & J.L. A. Berrocal (USAL) Content Analysis 22th October 2015 1 / 54 Table of Contents Overview Background Content analysis Social network analysis Coincidence analysis Stata users-written commands The command precoin Multiple variables Thesaurus strings Words The command coin Next steps Modesto Escobar & J.L. A. Berrocal (USAL) Content Analysis 22th October 2015 2 / 54 Background Content Analysis Content Analysis Definitions Content analysis is a technique used in the social sciences for the systematic study of the contents of the communication. \A systematic, replicable technique for compressing many words of text into fewer content categories based on explicit rules of coding" [Berelson, 1952]. \Any technique for making inferences by objectively and systematically identifying specified characteristics of messages" [Holsti, 1969]. \Content analysis is a research technique for making replicable and valid inferences from data to their context" [Krippendorff, 1980]. Modesto Escobar & J.L. A. Berrocal (USAL) Content Analysis 22th October 2015 3 / 54 Background Programs for content analysis Software for content analysis Programs Qualitative analyzers Nvivo Atlas-ti QDA miner Statistical analyzers WordStat TextAnalyst LIWC Modesto Escobar & J.L. A. Berrocal (USAL) Content Analysis 22th October 2015 4 / 54 Background Qualitative analysis programs Qualitative analysis programs Nvivo Modesto Escobar & J.L. A. Berrocal (USAL) Content Analysis 22th October 2015 5 / 54 Background Qualitative analysis programs Qualitative analysis programs Atlas-ti Modesto Escobar & J.L. A. Berrocal (USAL) Content Analysis 22th October 2015 6 / 54 Background Statistical analyzers Statistical analysts WordStat for QDA (and for Stata) Modesto Escobar & J.L.