Advance Educational Research Methods
- Education
- 900 level
- 152 pages
- 22 units
This course is designed for Ph.D. students in Education, building upon prior knowledge of Educational Research Methods. It covers the nature of educational research, its types, procedures, research questions, hypotheses, information sourcing, and research designs. Topics include literature reviews, sampling, instrumentation, and data processing techniques. The course equips students to understand, apply, and conduct quality educational research, requiring dedication and computer literacy.
About this course
- Difficulty
- Advanced
- Study hours
- 160 hours
- Maths
- Intermediate
- Content
- Theoretical, case study, research
- Practical work
- No
- Assignments
- Tutor marked assessments
- Final examination
What you'll read
The real module and unit structure of EDU921, taken from the course material NOUN publishes.
One paragraph, so you can see how it reads
EDU921 · Unit 4 Inferential data analysis
The presentation schedule included in your course materials gives you the important dates for this year for the completion of tutor-marked assignments (TMAs) and for attending tutorials. Remember, you are required to submit all your assignments by the due dates. You should guard against falling behind in your work.
What you should be able to do
- Conduct educational research using appropriate methodologies.
- Apply statistical techniques to analyze educational data.
- Evaluate the validity and reliability of research instruments.
- Interpret and apply research findings to educational practice.
- Design and implement effective educational interventions.
- Critically analyze existing educational research.
What it prepares you for
- Educational Researcher
- Policy Analyst
- Curriculum Developer
- Assessment Specialist
- University Lecturer
- Education Sector
- Government Agencies
- Research Institutions
- Non-profit Organizations
Where it gets hard
The units students slow down on, and what makes each one heavy.
- Module 4: Designs of Research ΙΙ
Unit 2: Twin studies
Twin studies require a deep understanding of genetics, embryology, and statistical modeling, making it challenging to grasp the complex interplay of genetic and environmental factors.
- Module 4: Designs of Research ΙΙ
Unit 4: Multivariate studies
Multivariate studies involve complex statistical techniques and require a solid understanding of multiple variables and their interrelationships, making it difficult to interpret the results.
- Module 6: Instrumentation and General Data Processing Techniques
Unit 4: Inferential data analysis
Inferential data analysis requires a strong foundation in statistical theory and the ability to apply parametric and non-parametric tests appropriately, making it challenging to draw valid conclusions.
A suggested way through it
13 weeks, about 36 hours in total. Yours will differ.
- Week 1Module 1: Nature, Classifications and Information Sources of Educational Research
Unit 1: Definitions, Purposes, and Procedures of Educational Research · 2 hours
Define educational research and differentiate it from non-scientific research.. Discuss the purposes and importance of educational research.. Outline the basic procedures for conducting educational research, including problem selection and literature review..
Unit 2: Classifications of Educational Research · 2 hours
Explain the concept of classification in research.. Distinguish between basic and applied research, quantitative and qualitative research, and theoretical and action research.. Discuss the interrelationships between different classifications of educational research..
- Week 2Module 1: Nature, Classifications and Information Sources of Educational Research
Unit 3: Sources of Educational Information · 3 hours
Identify primary and secondary sources of information for educational research.. Utilize traditional library resources to obtain data for educational research.. Use computer-based resources to source educational information effectively..
- Week 3Module 2: Basic Types of Educational Research
Unit 1: Humanistic Research · 2 hours
Identify the various types of humanistic research.. Describe historical research, including its methodologies and potential problems like 'presentism'.. Evaluate the role and limitations of historical data in educational research..
- Week 4Module 2: Basic Types of Educational Research
Unit 2: Survey Research · 2 hours
Define survey research and its applications in educational settings.. Discuss the factors to consider when designing a valid questionnaire.. Examine different sampling methods used in data collection for surveys..
- Week 5Module 2: Basic Types of Educational Research
Unit 3: Correlation Research · 2 hours
State what correlation is and provide examples of correlational research studies.. Analyze and interpret results from correlational studies.. Explain why 'correlation does not imply causation' and the limitations of correlational research..
- Week 6Module 3: Designs of Research Ι
Unit 1: Causal-Comparative Research · 2 hours
Describe causal-comparative research and provide examples.. Adumbrate the procedures and data analytic methods used in causal-comparative designs.. Critically comment on the differences between causal-comparative and correlation research..
- Week 7Module 3: Designs of Research Ι
Unit 2: Quasi-Experimental Research · 2 hours
Define quasi-experimental research and differentiate it from experimental research.. Differentiate between several types of quasi-experimental designs.. Explain common characteristics, advantages, and limitations of quasi-experimental research..
- Week 8Module 3: Designs of Research Ι
Unit 3: Experimental Research · 2 hours
Define experimental research and explain the terms 'causal relationship', 'matching', and 'randomization'.. State the general procedures involved in conducting experimental research.. Describe a simple experiment and distinguish between experimental and quasi-experimental research..
- Week 9Module 3: Designs of Research Ι
Unit 4: Factorial Designs · 2 hours
Define a factorial design and describe the main types.. Illustrate the use of a factorial design with a concrete example.. Outline the advantages and limitations of factorial designs in educational research..
- Week 10Module 4: Designs of Research ΙΙ
Unit 1: Repeated Measures Design · 2 hours
Define, with an example, repeated measures design.. Identify the types of repeated measures designs.. Examine the uses, advantages, and limitations of this research design..
Unit 2: Twin Studies · 2 hours
Define twin studies as it pertains to educational research.. Outline the methods used in twin studies, both traditional and modern.. State and evaluate the major assumptions of this research method..
- Week 11Module 4: Designs of Research ΙΙ
Unit 3: Analysis of Variance and Covariance · 2 hours
Explain what analysis of variance is and state the main assumptions underlying its use.. List and illustrate three types of analysis of variance.. Describe the procedures for analyzing data from analysis of variance and distinguish it from analysis of covariance..
Unit 4: Multivariate Studies · 2 hours
Define multivariate analysis and describe the nature of the variables examined.. Explain some of the techniques for significance testing in multivariate analysis.. Express some of the advantages and disadvantages of multivariate analysis..
- Week 12Module 5: Time Series, Trend, and Meta Analysis Studies
Unit 1: Time Series Design · 2 hours
Define time series design and explain the uses of time series studies.. State how time-series experiments are carried out.. Explain why time-series studies cannot establish cause-effect relationships..
Unit 2: Trend Studies · 2 hours
Define what trend studies are and give some possible examples in Nigeria.. Explain the methodology used in trend studies.. Enumerate the benefits and drawbacks of trend studies in educational research..
- Week 13Module 5: Time Series, Trend, and Meta Analysis Studies
Unit 3: Meta-analysis · 3 hours
Meaningfully define meta-analysis in educational research and enumerate some of its uses.. Evaluate its common procedures and discuss some of its problems.. Explain the types of measurement and describe the major processes involved in test construction..
Preparing for the exam
- Focus on understanding the core principles of research design, including experimental, quasi-experimental, and non-experimental approaches.
- Practice applying statistical techniques such as t-tests, ANOVA, and chi-square to analyze sample datasets.
- Create detailed summaries of each research method, noting their strengths, weaknesses, and appropriate applications.
- Review and critique published research articles, paying close attention to the methodology and data analysis sections.
- Develop a strong understanding of measurement theory, including validity, reliability, and different scales of measurement.
- Practice writing clear and concise research proposals, including well-defined research questions and appropriate methodologies.
Questions students ask about this course
What is EDU921 about?
This course is designed for Ph.D. students in Education, building upon prior knowledge of Educational Research Methods. It covers the nature of educational research, its types, procedures, research questions, hypotheses, information sourcing, and research designs. Topics include literature reviews, sampling, instrumentation, and data processing techniques. The course equips students to understand, apply, and conduct quality educational research, requiring dedication and computer literacy.
How many units does EDU921 have?
EDU921, Advance Educational Research Methods, has 22 units across 6 modules, over 152 pages of course material. You can read it one unit at a time.
Is EDU921 hard?
EDU921 is rated advanced level, with intermediate mathematical content. It is mostly theoretical, case study and research work.
How long does EDU921 take to study?
About 160 hours of study, spread across its 22 units.
How is EDU921 assessed?
EDU921 is assessed by assignments, tutor marked assessments and final examination.
What can I do with EDU921?
Educational Researcher, Policy Analyst, Curriculum Developer, Assessment Specialist and University Lecturer.