Mixed Research Methods Qualitative Data Analysis Using NVivo and Quantitative Data Analysis of Panel Data Using Stata
Details
FineResults Research Services would like to invite you to take part in our upcoming workshops on Research Coursesat our FineResults Research Services training facilities in Nairobi, Kenya or online.
19/02/2024- 01/03/2023 Mixed Research Methods Qualitative Data Analysis Using NVivo and Quantitative Data Analysis of Panel Data Using Stata
INTRODUCTION
A mixed method research design allows researchers to collect and analyse both quantitative and qualitative data within the same study. With the approach overall goal of providing a better and deeper understanding, by providing a fuller picture that can enhance description and understanding of the phenomena, use of the right data collection tools and analyzing software are essential. This 10 days course will focus on designing tools for data collection that ensures real, quality, and rich data including capturing of videos, audios, and images. The course will also demonstrate both qualitative and quantitative research designs. While the course will explore quantitative data analysis using Stata 14, qualitative data will be analysed using Nvivo 14 software. Additionally, participants will be trained on interpretation of results and writing different research outputs among them project report, scientific journal articles, blogs, case studies and policy briefs.
DURATION
10 Days
COURSE OBJECTIVES
By the end of the course the learner should be able to:
- Understand qualitative analysis approaches
- Understand different qualitative data collection methods
- Set up a project in NVivo
- Create a framework for qualitative data analysis using NVivo
- Carry out qualitative data analysis using NVivo
- Write a qualitative report
- Usefulness and problems with Panel Data
- Opportunities and challenges of panel data.
- Linear models data analysis with dynamic data
- Logistic regression models with dynamic data
- Count data models with dynamic data
- Linear structural equation models with dynamic data
COURSE OUTLINE
Module 1: Introduction
Introduction to Qualitative Research
- What is qualitative research?
- Dimensions of qualitative methods
- Qualitative research approaches
- Qualitative data collection methods
- Qualitative research study design
Preliminaries of Qualitative data Analysis
- What is qualitative data analysis
- Approaches in Qualitative data analysis; deductive and inductive approach
- Points of focus in analysis of text data
- Principles of Qualitative data analysis
- Process of Qualitative data analysis
Introduction to NVivo
- NVivo Key terms
- NVivo interface
- NVivo workspace
- Use of NVivo ribbons
Module 2: Project Management
NVivo Projects
- Creating new projects
- Merging, importing and exporting projects
- Managing projects
- Working with different data sources
Nodes in NVivo
- Theme codes
- Case nodes
- Relationships nodes
- Node matrices
Classifications
- Source classifications
- Case classifications
- Node classifications
Module 3: Coding and Analysis
Coding
- Data-driven vs theory-driven coding
- Analytic coding
- Descriptive coding
- Thematic coding
- Tree coding
Thematic Analysis using NVivo
- Organize, store and retrieve data
- Cluster sources based on the words they contain
- Text searches and word counts through word frequency queries.
- Examine themes and structure in your content
Memos Annotations and Links
- Linked memos
- Adding annotation to selected content
- See also link
Queries using NVivo
- Queries for textual analysis
- Queries for exploring coding
Module 4: Analysis, interpretation and visualization
Building on the Analysis
- Content Analysis; Descriptive, interpretative
- Narrative Analysis
- Discourse Analysis
- Grounded Theory
Qualitative Analysis Results Interpretation
- Comparing analysis results with research questions
- Summarizing finding under major categories
- Drawing conclusions and lessons learned
Visualizing NVivo project
- Display data in charts
- Creating models and graphs to visualize connections
- Tree maps and cluster analysis diagrams
Module 5: Triangulation of Data Sources and Reporting
Triangulation of Data Sources
- Triangulating with quantitative data
- Using different participatory techniques to measure the same indicator
- Comparing analysis from different data sources
- Checking the consistency on respondent on similar topic
Qualitative Report Writing
- Qualitative report format
- Reporting qualitative research
- Reporting content
- Interpretation
QUANTITATIVE DATA ANALYSIS OF PANEL DATA USING STATA
Module 6: Introduction
Introduction to Panel Data
- Why Are Panel Data Desirable?
- Problems with Panel Data
- Examples of Time-varying and time-invariant variables
Opportunities and challenges of panel data
- Data requirements
- Control for unobservables
- Determining causal order
- Problem of dependence
- Software considerations
Module 7: Linear models
- Robust standard errors
- Generalized estimating equations
- Random effects models
- Fixed effects models
- Between-within models
Module 8: Logistic regression models
- Robust standard errors
- GEE
- Subject-specific vs. population averaged methods
- Random effects models
- Fixed effects models
- Between-within models
Module 9: Count data models
- Poisson models
- Negative binomial models
Module 10: Linear structural equation models
- Fixed and random effects in the SEM context
- Models for reciprocal causation with lagged effects
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TRAINING CUSTOMIZATION
This training can also be customized for your institution upon request. You can also have it delivered your preferred location. For further inquiries, please contact us through Mobile or an email.
REQUIREMENTS
Participants should be reasonably proficient in English. During the trainings, participants should come with their own laptops.
TRAINING FEE
The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.
ACCOMMODATION
Accommodation is arranged upon request. For reservations contact us through mobile or an email.
PAYMENT
Payment should be transferred to FineResults Research Limited bank before commencement of training. Send proof of payment through the email.
CANCELLATION POLICY
- All requests for cancellations must be received in writing.
- Changes will become effective on the date of written confirmation being received.
Schedules
Weekdays | 08:30 AM — 04:30 PM |
Weekdays | 08:30 AM — 04:30 PM |
Weekdays | 08:30 AM — 04:30 PM |
Weekdays | 08:30 AM — 04:30 PM |
No. of Days: | 10 |
Total Hours: | 80 |
FineResults Research Services offers training solutions to individuals, communities, governments and civil society organizations, both local and international.
We also provide application-oriented and field-based consultancy services in all aspects of research and evaluations from inception to completion. This includes research designs, designing monitoring and evaluations systems, technical reviews, programme evaluations, questionnaire validation, data collection, data capture, data analysis and report writing. FineResults Research Services is a limited company incorporated under the laws of Kenya. Its head office is in Nairobi Kenya.
The organization has a wide range of experience working with both local and international organizations in both consultancies and capacity building in Africa and beyond.
MissionA world class training and research organization for the realization of individuals, organizations and community welfare.
VisionTo provide world class training and research services that increase individuals and organizations productivity in their development role.
Our Value Statement- We cherish partnerships.
- We believe that our Training and Research Solutions can re-energise organisations by creating vision, certainty and strategic intent. ...