Research Methodology by Dr. Nduka Wonu

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About the Instructor – Dr. Nduka Wonu

Dr Nduka Wonu, fondly known as Von Don is the CEO/Founder of Datarmatics Integrated Services Limited(DISL). He obtained his Bachelor of Science (B.Sc) in Mathematics (Pure & Applied option),
Master of Science (M.Sc ) in Statistics and another M.Sc in Applied Geophysics respectively. He ventured into the discipline of Education, bagging a Postgraduate Diploma in Education(PDE), a Master of Education (M.Ed) and a Doctorate (Ph.D) in Mathematics Education respectively.

Don is an experienced teacher, author and researcher/journal editor with a unique competence in the application of statistical software packages (SPSS, Eviews, Minitab, Gretl, R, Scientific-Python, etc) in statistical computing and modelling to solve real-life problems. He has participated and presented scholarly papers related to Mathematics Education and Educational Technology in both national and international conferences, and has published some books and several quality articles in both local and foreign journals.

Dr. Wonu is also a certified teacher (TRCN) and lecturer at Ignatius Ajuru University of Education, Port Harcourt, Nigeria. He has vast practical experience in Instructional Model Development (IMD) and has been involved in instructional delivery and teacher training. He has practical experience with NGOs where he has been involved in curriculum design, IMD, training, and supervision of the classroom implementation of the Mathematics curriculum at the secondary school level. He is married and blessed with children.

 

Course Syllabul

Module 1:The Basics of Research
Lesson 1:  ~What is research?
Lesson 2: Types of research
Lesson 3: Types of variables in research
Lesson 4: Identification of researchable topics
Lesson 5: what to consider before embarking on research.

Module 2: Development of Research Topics
Lesson 1: Identification of a pressing issue
Lesson 2: The knowledge of how the variables  interact
Lesson 3: Identification of the relevant sub-variables
Lesson 4: Figuring out how to develop the objectives
Lesson 5: Framing the topic and recasting based on some analogies

Module 3: How to Write Research Articles
Lesson 1: Banking on your knowledge of a topic
Lesson 2: identity the variables and download articles accordingly, extracting meaningful info from the materials(abstract, methodology and findings):
Lesson 3: Write the introduction with literature (problem specification inclusive, aim, objectives, RQ/H0s)
Lesson 4: Write the methodology
Lesson 5: The results, discussion of findings and conclusion.

Module 4: Introduction of a Thesis
Lesson 1: A good knowledge of the topic
Lesson 2: writing the background to the study
Lesson 3: How to write the problem specification
Lesson 4: How to write the purpose and objectives
Lesson 5: How to write the research questions and hypotheses
Lesson 6: How to write the significance of the study
Lesson 7: How to write the scope of the study
Lesson 8: How to write the delimitation of the study

Module 5: Review of Related literature
Lesson 1: How to write the conceptual framework of a thesis
Lesson 2: How to write the theoretical framework of a thesis
Lesson 3: How to write the empirical review of the literature
Lesson 4: How to analytically appraise and synthesis a literature
Lesson 5: How to summarise the literature review

Module 6: Methodology
Lesson 1: How to write the design of a thesis
Lesson 2: How to write the area of the thesis
Lesson 3: How to present the population of a study in a thesis
Lesson 4: How to write the sample and sampling technique
Lesson 5: How to describe the instrument for data collection of a thesis
Lesson 6: How to write the validity of an instrument in a thesis
Lesson 7: How to describe the nature and source of data
Lesson 8: How to write the method of data collection of a thesis
Lesson 9: How to write the method of data analysis of a thesis

Module 7: Results and Interpretations
Lesson 1: How to present the results of a thesis
Lesson 2: How to interpret the analyzed data
Lesson 3: Differentiating figures from Tables

Module 8: Discussion of Findings
Lesson 1: How to write the discussion of findings
Lesson 2: Exploring various approaches in discussing findings

Module 9: Summary of the study
Lesson 1: How to write a summary of the thesis
Lesson 2: Exploring various option to summarise the thesis

Module 10: Conclusion
Lesson 1: How to write the conclusion
Lesson 2: Identification of the implication of the study

Module 11: Referencing styles
Lesson 1: How to write references using APA
Lesson 2: How to write references using MLA
Lesson 3: How to write references using Havard

Modul 12: Data-types
Lesson 1: Meaning and types of data
Lesson 2: Relationship between data and instruments/scales
Lesson 3: Datatypes and inferential statistics

Module 13: Descriptive Statistics
Lesson 1: Measures of location
Lesson 2: Measures of dispersion
Lesson 3: Graphs and charts

Module 14a: Parametric Statistics (Tests of difference)
Lesson 1: Test of differences
Lesson 2: How to compute on sample  t-test using SPSS
Lesson 3: how to compute independent sample t-test using SPSS
Lesson 4: How to compute  paired sample t-test using SPSS
lesson 5: How to compute one-way Analsyis of Variance(ANOVA) using SPSS
Lesson 6: How to compute two-way ANOVA using SPSS
Lesson 7: How to compute Factorial Design ANOVA using SPSS
Lesson 8: How to compute Multivaruiate Analysis of Variance(MANOVA) using SPSS
Lesson 9: How to compute ANCOVA using SPSS
Lesson 10: How to compute MANCOVA using SPSS

Module 14b: Parametric Statistics (Tests of relationship)

Lesson 1: How to compute Pearson Product Moment Correlation using SPSS
Lesson 2: How to run a linear regression analysis using SPSS
Lesson 3: How to run multiple linear analysis using SPSS
Lesson 4: How to determine the significance of a correction r using Zr-test

Chapter 15a:Non-Parametric Statistics (tests of difference)
Lesson 1: How to compute Mann-Whiteney, U-test using SPSS
Lesson 2: How to compute Kruskal Walis, H-test using SPSS
Lesson 3: How to compute Komogrove-Smirnov using SPSS
Lesson 4: How to compute Jonckheere-Terspstra using SPSS
Lesson 5: How to compute Moses Extreme Reaction using SPSS

Module 15b Non-parametric test(relationship)
Lesson 1: How to compute Spearman Rho using SPSS
Lesson 2: How to compute Chi-Square using SPSS
Lesson 3: How to compute Phi-Coefficient
Lesson 4: How to compute Yates coefficient

Module 16: Some Research Anomalies and Suggested Corrections
Lesson 1: Research anomalies on topics
Lesson 2: Research anomalies in the introduction
Lesson 3: Research anomalies in the literature review
Lesson 4: Research anomalies in the methodology
Lesson 5: Research anomalies in Data analysis
Lesson 6: Research anomalies in the results
Lesson 7: Research anomalies in the data obtained
Lesson 8: Research anomalies in the instrumentation
Lesson 9: Research anomalies in the conclusion
Lesson 10. Research anomalies in the referencing

Module 17: How to Minimize Plagiarism
Lesson 1: How to write with minimal similarity
Lesson 2: How to reduce the similarity after testing using SPINBOT

Module 18: How to Reduce Grammatical Errors in a thesis
Lesson 1: How to minimize grammatical errors in a thesis before submission
Lesson 2: How to identify and correct errors in a thesis

Module 19: Steps to Review or Critique an Article for Publication
Lesson 1: How to critique the topic
Lesson 2: How to critique the abstract
Lesson 3: How to critique the instruction of a paper
Lesson 4: How to critique the methodology
Lesson 5: How to critique the results
Lesson 6: How to critique the interpretation of results
Lesson 7: How to critique the discussion of findings
Lesson 8: How to critique the conclusion
Lesson 9: How to critique the references in APA

Module 20: Basic Conference Paper Presentation Skills
Lesson 1: How to listen
Lesson 2: Application of metacognition
Lesson 3: How to avoid stage fright
Lesson 4:How to focus on the key points
Lesson 5: How to make your presentation brief and meaningful
Lesson 5:
Lesson 6:

Module  21: A practical Guide to Publishing Articles in Reputable journals
Lesson 1: How to collaborate with your mentors
Lesson 2: How to locate funding agencies
Lesson 3: How to find reputable journals

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