The Influence of Workplace Culture on the Continuing Professional

Total Page:16

File Type:pdf, Size:1020Kb

The Influence of Workplace Culture on the Continuing Professional The influence of workplace culture on the continuing professional development of emergency medical services providers in Saudi Arabia: an ethnographic study Submitted by Yousef Mohammed J Alshahrani A thesis submitted to fulfil the requirement of the Doctor of Philosophy degree Faculty of Health and Medical Sciences, Adelaide Nursing School The University of Adelaide July 2020 DTT<ÅÁ‚<ÏÖÁâE JJJ<> In the name of Allah, the Most Gracious the Most Merciful “… and my success (for setting things right) can only come from Allah. In Him I trust, and unto Him I always return.” Quran, surah Hud [11:88] This thesis is dedicated To my beloved dad, may Allah have mercy on him Mohammed Jabbar Alshahrani (1925–2010) For his sincere and lovely fathering and raising me well when he was alive To my beloved mom, I wish her good health and well-being Haya Abdullah Fawaz For her continuous prayers for me and for her great patience when I was abroad and far from her To my wife Aysha; and children Mohammed, Rola and Tameem For supporting and accompanying me anytime and anywhere I travelled to throughout the journey of this research To my brother Abdullah; and sisters Fatimah, Muneerah, Muhrah, Nouf and Aysha; and their children and grand children For their continuous verbal and emotional support until I completed this research and for taking care of my mom while I was abroad Words are not enough to express my deepest gratitude towards you all for your encouragement, motivation and patience while I completed this research. iii Table of contents Table of contents Table of contents ................................................................................................................... IV List of figures ......................................................................................................................... XI List of tables........................................................................................................................... XI List of photos ......................................................................................................................... XI Abstract ................................................................................................................................. XII Declaration.......................................................................................................................... XIV Acknowledgments ................................................................................................................ XV Glossary of terms .............................................................................................................. XVII Chapter 1: Introduction .......................................................................................................... 1 1.1. Introduction to emergency medical services ................................................................... 1 1.2. Overview of the healthcare system in Saudi Arabia ....................................................... 5 1.2.1. Overview of EMS in Saudi Arabia ............................................................................ 6 1.2.2. Roles of EMS providers in Saudi Arabia .................................................................. 7 1.2.3. Regulation of EMS providers in Saudi Arabia ......................................................... 8 1.3. Purpose of the study ........................................................................................................ 9 1.4. Research aim ................................................................................................................. 11 1.5. Research question .......................................................................................................... 12 1.6. Research objectives ....................................................................................................... 12 1.7. The significance of the study ........................................................................................ 12 1.8. Theoretical framework .................................................................................................. 13 1.9. Assumptions .................................................................................................................. 13 1.10. Outline of the thesis structure...................................................................................... 14 1.11. Chapter summary ........................................................................................................ 14 Chapter 2: Literature review ................................................................................................ 16 2.1. Introduction ................................................................................................................... 16 2.2. Search strategy .............................................................................................................. 16 2.3. The big picture .............................................................................................................. 19 2.4. The influence of workplace culture on the CPD of healthcare professionals ............... 22 2.4.1. Workplace enablers of CPD ................................................................................... 22 2.4.2. Workplace barriers to CPD .................................................................................... 26 2.5. The influence of CPD on workplace culture ................................................................. 28 2.5.1. The influence of offering adequate CPD opportunities .......................................... 29 2.5.2. The influence of inadequate CPD opportunities .................................................... 31 2.6. The influence of CPD on healthcare professionals ....................................................... 32 IV Table of contents 2.7. EMS providers, workplace culture and CPD ................................................................ 33 2.8. The gap .......................................................................................................................... 34 2.9. Chapter summary .......................................................................................................... 34 Chapter 3: Methodology........................................................................................................ 35 3.1. Introduction ................................................................................................................... 35 3.2. Choice of methodology ................................................................................................. 35 3.3. Ontological and epistemological position of the researcher ......................................... 37 3.4. Philosophical underpinnings of ethnography ................................................................ 39 3.4.1. Background to ethnography ................................................................................... 39 3.4.2. Culture .................................................................................................................... 42 3.5. Appropriateness of the utilised research methodology ................................................. 44 3.6. Chapter summary .......................................................................................................... 45 Chapter 4: Methods ............................................................................................................... 46 4.1. Introduction ................................................................................................................... 46 4.2. Study design .................................................................................................................. 46 4.2.1. Preparation to enter the field ................................................................................. 47 4.2.1.1. Gatekeeping ................................................................................................................. 48 4.3. Study setting .................................................................................................................. 48 4.4. Participant groups .......................................................................................................... 50 4.4.1. Participant selection ............................................................................................... 51 4.4.1.1. Inclusion criteria .......................................................................................................... 51 4.4.1.1.1. Group 1: EMS providers ..................................................................................................... 51 4.4.1.1.2. Group 2: The administrative staff ....................................................................................... 51 4.4.1.1.3. Group 3: The training staff .................................................................................................. 51 4.4.1.2. Exclusion criteria ......................................................................................................... 52 4.4.1.2.1. Group 1: EMS providers ..................................................................................................... 52 4.4.1.2.2. Group 2: The administrative staff ....................................................................................... 52 4.4.1.2.3. Group 3: Training staff ........................................................................................................ 52 4.5. Data collection..............................................................................................................
Recommended publications
  • Audiovisual Media Annotation Using Qualitative Data Analysis Software: a Comparative Analysis
    The Qualitative Report Volume 23 Number 13 Article 4 3-6-2018 Audiovisual Media Annotation Using Qualitative Data Analysis Software: A Comparative Analysis Liliana Melgar Estrada University of Amsterdam, [email protected] Marijn Koolen Huygens ING, [email protected] Follow this and additional works at: https://nsuworks.nova.edu/tqr Part of the Library and Information Science Commons, and the Quantitative, Qualitative, Comparative, and Historical Methodologies Commons Recommended APA Citation Melgar Estrada, L., & Koolen, M. (2018). Audiovisual Media Annotation Using Qualitative Data Analysis Software: A Comparative Analysis. The Qualitative Report, 23(13), 40-60. https://doi.org/10.46743/ 2160-3715/2018.3035 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]. Audiovisual Media Annotation Using Qualitative Data Analysis Software: A Comparative Analysis Abstract The variety of specialized tools designed to facilitate analysis of audio-visual (AV) media are useful not only to media scholars and oral historians but to other researchers as well. Both Qualitative Data Analysis Software (QDAS) packages and dedicated systems created for specific disciplines, such as linguistics, can be used for this purpose. Software proliferation challenges researchers to make informed choices about which package will be most useful for their project. This paper aims to present an information science perspective of the scholarly use of tools in qualitative research of audio-visual sources. It provides a baseline of affordances based on functionalities with the goal of making the types of research tasks that they support more explicit (e.g., transcribing, segmenting, coding, linking, and commenting on data).
    [Show full text]
  • Introduction for Conducting Social Science Research Michael C. Gizzi, Ph.D. Stage 1
    Harnessing the power of MAXQDA for conducting social science research Michael C. Gizzi, Ph.D. Professor of Criminal Justice, Illinois State University Introduction Stage 3 & 4 – The Art of Data Analysis MAXQDA is a professional qualitative software designed for content analysis and mixed methods research. This poster provides an overview of MAXQDA describes itself with the tag line “The Art of Data Analysis.” These the “Four Stages of Research,” a conceptual model I’ve developed for words capture the heart of the Four Stages of Research. Stage 3 and 4 conducting a qualitative research project. This was designed as tool for involves reading, coding, writing memos (taking notes), looking for patterns effectively using MAXQDA to conduct qualitative legal research, but can be and themes, and then engaging in a thematic analysis of cases. applied to almost any social science qualitative project. MAXQDA has transformed how I conduct my research on the impact and implementation Once the initial content analysis completed, you can begin the creative and of judicial policies by lower courts. often emergent process of analysis: summarizing the data, looking for patterns, quantifying them, identifying core examples, and then further refining The Four Stages of Research provides a conceptual model for thinking the data and findings. MAXQDA also has a full set of statistical tools that you through a research project: can use for mixed methods analysis. As this process unfolds, you are ready to write your final product. • Identify the research questions and conceptual framework of the research design. • Collect the data and create a workspace and analytical process to evaluate it in MAXQDA.
    [Show full text]
  • 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.
    [Show full text]
  • 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.
    [Show full text]
  • Thematic Content Analysis: Is There a Difference Between the Support Provided by the MAXQDA® and Nvivo® Software
    See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/304805386 Thematic Content Analysis: Is There a Difference Between the Support Provided by the MAXQDA® and NVivo® Software... Article · November 2015 DOI: 10.5902/1983465911213 CITATION READS 1 57 4 authors: Mírian Oliveira Claudia Bitencourt Pontifícia Universidade Católica do Rio Gran… Universidade do Vale do Rio dos Sinos 62 PUBLICATIONS 139 CITATIONS 67 PUBLICATIONS 108 CITATIONS SEE PROFILE SEE PROFILE Ana Clarissa Santos Eduardo Kunzel Teixeira Pontifícia Universidade Católica do Rio Gran… Pontifícia Universidade Católica do Rio Gran… 2 PUBLICATIONS 1 CITATION 8 PUBLICATIONS 6 CITATIONS SEE PROFILE SEE PROFILE Some of the authors of this publication are also working on these related projects: Cognitive proximity and innovation in science parks View project Economia Compartilhada: O Consumo Colaborativo sob as lentes da Economia de Valor View project All content following this page was uploaded by Eduardo Kunzel Teixeira on 15 September 2016. The user has requested enhancement of the downloaded file. All in-text references underlined in blue are added to the original document and are linked to publications on ResearchGate, letting you access and read them immediately. DOI: 10.5902/19834659 11213 ANÁLISE DE CONTEÚDO TEMÁTIca: HÁ UMA DIFERENÇA NA UTILIZAÇÃO E NAS VANTAGENS OFERECIDAS PELOS SOFTWARES MAXQDA® E NVIVO®? Thematic Content Analysis: Is There a Difference Between the Support Provided by the MAXQDA® and NVivo® Software Packages? Data de submissão: 28-10-2013 Aceite: 19-07-2014 Mirian Oliveira1 Claudia Cristina Bitencourt2 Ana Clarissa Matte Zanardo dos Santos3 Eduardo Kunzel Teixeira4 ABSTRACT Content analysis is widely used in qualitative research.
    [Show full text]
  • 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.
    [Show full text]
  • Multimodal Interaction Between a Mother and Her Twin Preterm Infants
    children Article Multimodal Interaction between a Mother and Her Twin Preterm Infants (Male and Female) in Maternal Speech and Humming during Kangaroo Care: A Microanalytical Case Study Eduarda Carvalho 1,* , Raul Rincon 1, João Justo 2 and Helena Rodrigues 1 1 CESEM-NOVA-FCSH, 1069-061 Lisbon, Portugal; [email protected] (R.R.); [email protected] (H.R.) 2 Faculty of Psychology, University of Lisbon, 1649-004 Lisbon, Portugal; [email protected] * Correspondence: [email protected] Abstract: The literature reports the benefits of multimodal interaction with the maternal voice for preterm dyads in kangaroo care. Little is known about multimodal interaction and vocal modulation between preterm mother–twin dyads. This study aims to deepen the knowledge about multimodal interaction (maternal touch, mother’s and infants’ vocalizations and infants’ gaze) between a mother and her twin preterm infants (twin 1 [female] and twin 2 [male]) during speech and humming in kangaroo care. A microanalytical case study was carried out using ELAN, PRAAT, and MAXQDA software (Version R20.4.0). Descriptive and comparative analysis was performed using SPSS software (Version V27). We observed: (1) significantly longer humming phrases to twin 2 than to twin 1 (p = 0.002), (2) significantly longer instances of maternal touch in humming than in speech to twin 1 (p = 0.000), (3) a significant increase in the pitch of maternal speech after twin 2 gazed (p = 0.002), Citation: Carvalho, E.; Rincon, R.; and (4) a significant increase of pitch in humming after twin 1 vocalized (p = 0.026). This exploratory Justo, J.; Rodrigues, H.
    [Show full text]
  • Qualitative Research Officer Unit: Research Division
    JOB DESCRIPTION TITLE : QUALITATIVE RESEARCH OFFICER UNIT: RESEARCH DIVISION I. SUMMARY OF ROLE: Under the supervision of Research Manager, a qualitative research officer will work with internal and external parties for planning, implementation, and reporting CISDI’s qualitative research. II. ORGANIZATION CHART: POLICY DIRECTOR RESEARCH MANAGER QUALITATIVE RESEARCH OFFICER RESEARCH ASSOCIATES OTHER RESEARCH OFFICERS PROJECT OFFICERS III. JOB DESCRIPTION MAIN RESPONSIBILITIES ACTIVITIES OUTPUT/ MEASUREMENT 1. Research • Ensure necessary research preparations ● Well coordination and Implementation are done properly before the clear & thorough implementation; preparations; • Coordinate with relevant departments and external parties relevant to the ● Research are done research implementations. according to plans and schedules. 2. Data Analysis and • Working with enumerators/interviewees ● Quality of data collected; Reporting in collecting, managing, and analysing ● Systematic and proper qualitative data; data analysis; 1 • Writing reports and drafts; ● Reports are done timely • Producing analytical reports such as and based on the programs’ initial and end line scientific standards; assessments, including Community ● Outcomes are equipped Readiness Assessment, Program with well depicted data Sustainability Assessment, Stakeholder and information; Mapping and Engagement Assessment, ● Ensure information, data, etc. and reports are well • Preparing presentations of qualitative documented according to data analysis. the organization’s standards. 3. Quality and Standards • Maintaining network and relationship ● Meeting and sharing with relevant partners/stakeholders in knowledge internally and qualitative research; externally ● Recommendations of • Keep being updated and setting technical improvements benchmark, good practices, and lesson related to qualitative learned for technical improvements data. • Working with relevant internal and external parties to the enhance and develop knowledge of qualitative data in the organisation. IV.
    [Show full text]
  • Different Coding Schemes for Transcriptions
    Different Coding Schemes For Transcriptions ChristofMeir dial mythicized plaintively sheepishly?while unlost Gardner remarry vernacularly or intertangled tactically. Unrealized Tobit depersonalized ideographically. 403 ANALYZING QUALITATIVE DATA. In qualitative research coding is how you thinking what the fury you are analysing are about Gibbs 2007. How my you code transcripts? Transcription and pronunciation of the word window in British and American. Will observations be coded from audio video transcripts. Fundamentals of qualitative data analysis. This enables the researcher later to analyze the original data when different ways perhaps. What having the two types of coding? Metadata for the transcripts and media in summary various TalkBank databases. Qualitative coding CESSDA TRAINING. At moth stage this just implement to apply coding to different segments of our media file. Modeling Transcription and Translation This lesson plan. Coding could once be carried out semi-automatically based on the transcripts. Direct observational recording and reports in amsterdam, where each method provides two different coding schemes for more free in any spoken performance criteria using one code across the speaking conditions of data? What inherit the types of coding in qualitative research? Purpose by these pilots I decided that using the transcripts from the. Episode 310 Signaling and Unipolar Line Coding Schemes. The Language of Interpersonal Interaction An Interdisciplinary. If the extract the coding scheme described in Punch's narrative. We would be different coding for discussion. Coding social sciences Wikipedia. Inductive coding refers to home data analysis process draw the researcher reads and interprets raw textual data table develop concepts themes or separate process model through interpretations based on data Thomas 2006 Boyatzis 199 Corbin and Strauss 1990.
    [Show full text]
  • Eg ATLAS.Ti Y Maxqda
    Ventajas y desafíos del uso de programas informáticos (e.g. ATLAS.ti y MAXqda) en el análisis cualitativo. Una reflexión metodológica desde la grounded theory y el contexto de la investigación social española. Miguel S. Valles* Departamento de Metodología de la Investigación. Facultad de Ciencias Políticas y Sociología. Universidad Complutense de Madrid. Campus de Somosaguas 28233 Pozuelo de Alarcón (Madrid) Resumen Esta ponencia trata de aportar una reflexión sobre las aproximaciones metodológicas y tecnológicas en el análisis cualitativo (AC), en particular las asociadas o derivadas de la grounded theory. En primer lugar, se expondrá la noción de transición tecnológica en el AC, vista desde el contexto español. Y se señalan algunos hitos a tener en cuenta en una historia de la recepción de la grounded theory y los programas de AC en España. En segundo lugar, se hace un abordaje del panorama de métodos y estilos de AC, para ofrecer una visión contextual de la grounded theory. Finalmente, se enfoca la cuestión de las ventajas y limitaciones (o retos) del AC asistido por ordenador, con especial atención a los programas Atlas.ti y winMAX. Palabras claves: Teoría fundamental, Método de Comparación Constante (MCC), Programas de Análisis Cualitativo en España, Ventajas y Usos. · E-mail: [email protected] 1 1. Introducción: recepción metodológica y transición tecnológica en el análisis cualitativo, a la luz de la experiencia española. En la parcela de la sociología de la población destaca sobremanera un modelo teórico que ha animado numerosos esfuerzos de investigación. Me refiero a una teoría, considerada de las de alcance medio (Merton), que se bautizó con el apelativo “transición demográfica”.
    [Show full text]
  • Qualitative Data Analysis for Government Research
    Qualitative Data Analysis for Government Research Rebecca Hendrick, Ph.D. What is qualitative research? Usually in-depth analysis of one or a few cases over an extended period of time What are qualitative research methods? Interviews Questionnaires Historical studies Focus groups Participant observation (ethnography) Content analysis of documents What are qualitative data? Words, sentences, text fragments, and paragraphs rather than numbers Analyzing qualitative data The problem is how to analyze massive amounts qualitative data (text) that is higgyhly unstructured and using methods of analy sis that are not well formulated or systematic (problem of validity and reliability) Software- technology to the rescue Coding of text (events) through powerful search (deductive) or discovery methods (inductive) Ability to summarize code d text and dildisplay in usefu l ways Ability to link and order coded text in complex ways Assessment of inter-coder reliability Proprietary: NVivo (NUD*IST), Atlas-ti, MAXQDA, QDAMiner Open-source: WP-QQ,Q,DA, RQDA, Codin g Anal ysis Toolkit INTERVIEW CODES CODING OF THEMES Fiscal Stress Practices and policies Governance Assessment of Planning and budgeting Authority and responsibility Causes Accountability Expertise and membership How manage Monitor and assess Conflict and turnover Financial stability and health (overall) Structure Economic development (future) CODING OF CONTENT Budgeting Capital finance and spending Development & growth Advanced methods Capital investing Aggressive ED Bottom-up process
    [Show full text]
  • MAXQDA 2020 Distinguishing Features
    Software Reviews : MAXQDA 2020 MAXQDA 2020 for Windows & Mac: Distinguishing features and functions This document is intended to be read in conjunction with the ‘Choosing a CAQDAS Package Working Paper’ which provides more general commentary of common CAQDAS functionality. It does not provide an exhaustive account of all the features provided by MAXQDA 2020 but is designed to highlight some of its distinguishing elements. The Comment section at the end 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, and Woolf & Silver (2018) Qualitative Analysis using MAXQDA: The Five-Level-QDA method and the MAXQDA website. We thank Julia Gerson of VERBI GmbH for ensuring the accuracy of this review. Background http://www.MAXQDA.com MAXQDA 2020 for Windows & Mac is the latest in a software stream originally developed by Udo Kuckartz ■ It enables analysis of qualitative data including text, pdf, tables, audio, video, (focus group) transcripts, tweets, YouTube data, websites, surveys, bibliographical sources and still images ■ It incorporates good support for mixed methods research and quantitative analyses ■ MAXQDA Plus includes MAXDictio which extends functionality to quantitative content analysis, providing dictionary-based content analysis with Key Word in Context (KWIC) ■ MAXQDA Analytics Pro offers a large range of statistical analyses ■ MAXQDA Reader is a free tool allowing MAXQDA projects to be viewed and searched ■ MAXApp for iOS and Android is for data collection and coding ■ The Mac & Windows versions have identical functionality and use the same project file format ■ All parts of a MAXQDA project file plus specific reports can be exported.
    [Show full text]